AI-Driven Tutoring: Closing the Achievement Gap in Higher Education

Daily writing prompt
What do you complain about the most?

In higher education, many students drop out during their first year due to the difficulty of “gateway” courses in math and science. The purpose of TOP AI Education Tools in a university setting is to provide 24/7 academic support that helps students bridge the gap between high school and college-level expectations. Unlike human tutors, who are expensive and only available during certain hours, AI tutors are always available to help a student work through a difficult physics problem or understand a complex economic theory. This democratization of support is essential for ensuring that students from all backgrounds have an equal chance to succeed in rigorous academic programs.

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The target audience for AI-driven tutoring includes university deans of student success, academic advisors, and undergraduate students themselves. These stakeholders are focused on improving graduation rates and reducing the high cost of student attrition. For students who work full-time or have family responsibilities, AI provides help at 2:00 AM when human tutoring centers are closed. For advisors, the data from these tutoring sessions provides early warning signals; if a student is struggling with foundational concepts in week three, the advisor can reach out with proactive support before the student fails their first exam.

The benefits of AI tutoring center on accessibility, patience, and data generation. AI tutors never get frustrated and can explain a concept in ten different ways until a student grasps it. They can also adapt their teaching style, perhaps using a visual analogy for one student and a logical proof for another. For the student, this provides a safe, non-judgmental space to ask “basic” questions that they might feel embarrassed to ask a professor in a large lecture hall. For the institution, the aggregated data from these sessions identifies which parts of the curriculum are consistently difficult for the entire student body, allowing for strategic improvements to the course content.

Usage involves students accessing a web portal or mobile app where they can chat with the AI about their coursework. A student might upload a photo of a handwritten equation, and the AI walks them through the steps of the solution, asking questions to verify comprehension along the way. This interactive loop ensures that students aren’t just getting the answer, but are learning the underlying logic. To maintain the efficiency of these complex tutoring networks, tech teams often utilize MoltBot to manage the various specialized bots and ensure that each student is routed to the correct “subject matter expert” AI.

Intelligent Voice Agents and the Future of Business Communication

Daily writing prompt
What are your favorite sports to watch and play?

Customer expectations around business communication have changed dramatically in recent years. Today, speed, personalization, and round-the-clock availability are no longer competitive advantages but basic requirements. Companies that rely solely on traditional call centers often struggle to meet these demands without increasing costs or overloading their teams. As a result, many organizations are turning to intelligent voice agents as a scalable and cost-effective alternative.

According to an article on Coruzant, intelligent voice agents are rapidly reshaping how businesses manage inbound calls, customer support, and ongoing engagement. Powered by artificial intelligence, these systems are designed to handle conversations in a natural, human-like way while reducing operational strain and improving service consistency.

Photo by Tima Miroshnichenko on Pexels.com

What Are Intelligent Voice Agents?

Intelligent voice agents, also known as AI voice agents, are conversational systems that interact with customers through voice channels such as phone calls. Unlike traditional interactive voice response (IVR) systems, which rely on rigid menus and predefined options, intelligent voice agents can understand natural speech and respond dynamically.

These systems do more than recognize keywords. They interpret intent, context, and meaning, allowing customers to speak freely instead of navigating complex phone menus. The result is a more fluid and intuitive experience that closely resembles a conversation with a human representative.

At their core, intelligent voice agents combine speech recognition, artificial intelligence, and advanced language processing. This enables them to understand requests, provide relevant information, and take appropriate actions in real time.

How Intelligent Voice Agents Work

AI voice agents rely on several interconnected technologies that work together to create seamless conversations. Speech-to-text technology converts spoken language into text, allowing the system to analyze what the caller is saying. Natural Language Understanding (NLU) then interprets the caller’s intent, even when phrased in different ways.

Large language models (LLMs) play a key role in generating natural, context-aware responses. These models allow voice agents to adapt their replies based on the flow of the conversation rather than relying on scripted answers. Decision-making components determine the next best action, whether that involves providing information, performing a task, or transferring the call.

Text-to-speech and voice synthesis technologies ensure that responses sound natural and human-like. When a request is too complex or requires personal judgment, the system can seamlessly transfer the call to a human agent, maintaining continuity and context.

Most modern platforms also allow businesses to configure system prompts, rules, and internal knowledge bases. This ensures that voice agents provide accurate, up-to-date information aligned with company policies and processes.

Business Benefits of AI Voice Agents

The adoption of intelligent voice agents offers several clear advantages for businesses across industries. One of the most significant benefits is 24/7 availability. AI-powered systems ensure that no call goes unanswered, even outside regular business hours.

Cost efficiency is another major factor. By automating routine interactions, businesses can reduce the tells of staffing large call centers or scaling teams during peak periods. Faster response times improve customer satisfaction, while consistent service quality helps maintain brand standards.

AI voice agents can also recognize caller IDs, enabling personalized interactions for returning customers. This allows calls to be routed more efficiently and conversations to begin with relevant context, reducing friction and repetition.

By handling repetitive inquiries, such as frequently asked questions or basic service requests, AI voice agents free human employees to focus on complex or high-value interactions. This not only improves productivity but also reduces burnout among customer support teams.

Collaboration Between Human Agents and AI

Despite concerns about automation replacing jobs, intelligent voice agents are most effective when used in collaboration with human employees. Rather than eliminating roles, AI systems support teams by managing high-volume, routine tasks.

Human agents remain essential for handling nuanced requests, sensitive situations, and complex decision-making. By offloading repetitive work to AI, businesses can improve response times and allow their staff to deliver more personalized and thoughtful service.

This collaborative model creates a more stable and efficient operation. AI handles consistency and availability, while human agents focus on empathy, judgment, and problem-solving.

Getting Started with Intelligent Voice Agents

Implementing an AI voice agent requires careful planning. Businesses should start by identifying the specific tasks and processes they want to automate. Common use cases include after-hours call handling, virtual receptionists, appointment scheduling, and basic customer support.

Feature requirements should be evaluated based on business needs, such as multilingual support, CRM integration, or call routing capabilities. Budget considerations and scalability are also important, as the system should be able to grow alongside the organization.

Choosing a reliable provider is critical. Businesses should test the solution thoroughly before deployment to ensure that it meets performance expectations and integrates smoothly with existing systems.

Zadarma AI Voice Agent as a Practical Example

One example of an all-in-one intelligent voice solution is the Zadarma AI Voice Agent. This virtual assistant is designed to answer calls using natural, human-like speech while leveraging a company’s internal knowledge base to provide accurate information.

The platform supports 24/7 automated call handling, integrates with PBX and CRM systems, and offers multilingual capabilities across multiple languages. When necessary, calls can be transferred to the appropriate human agent or department.

By combining features that are often offered separately, such solutions simplify implementation and reduce complexity. Compatibility with modern AI models and intuitive configuration make intelligent voice agents accessible even to businesses without advanced technical expertise.

Conclusion

Intelligent voice agents are becoming a foundational element of modern business communication. By automating routine interactions, improving availability, and delivering faster responses, these systems help organizations meet rising customer expectations without compromising quality.

As AI technology continues to evolve, voice agents will play an increasingly important role in creating efficient, scalable, and customer-centric communication strategies. Businesses that adopt intelligent voice solutions today are better positioned to remain competitive in an environment where speed, personalization, and reliability define success.

Efficacy of Personal Emergency Response Systems (PERS) in Geriatric Care: A Multi-Dimensional Analysis of Mortality Reduction, Psychosocial Outcomes, and Economic Impact

Daily writing prompt
Write about a few of your favorite family traditions.

By Faiz Muhammad

Abstract The global demographic shift towards an aging population presents a critical challenge to healthcare infrastructure: the rising incidence of falls and unmonitored medical emergencies among independent-living seniors. Falls remain the leading cause of fatal and nonfatal injuries in adults aged 65 and older. This article provides a comprehensive review of the efficacy of medical alert monitoring systems, evaluating their role in reducing the “long lie” post-fall, alleviating caregiver burden, and mitigating healthcare costs. By synthesizing data from recent longitudinal studies and technological assessments—including the integration of medical alert monitoring with SOS system protocols and advanced automatic fall detection devices—we argue that these interventions are no longer merely reactive safety nets but essential components of proactive geriatric health management. The review further explores the psychological benefits of “aging in place” facilitated by these technologies, concluding that modern monitoring solutions significantly improve quality-adjusted life years (QALYs) for the elderly.


1. Introduction

The concept of “aging in place”—the ability to live in one’s own home and community safely, independently, and comfortably—has become a central tenet of modern gerontology. However, the biological reality of aging introduces significant risks, primarily related to mobility and acute medical events. According to the Centers for Disease Control and Prevention (CDC), approximately one in four Americans aged 65 and older falls each year, resulting in 3 million emergency department visits annually. The mortality rate from these accidental falls has risen by 30% over the last decade.

The critical determinant in fall-related mortality is often not the trauma of the impact itself, but the duration of the subsequent immobilization, clinically referred to as the “long lie.” Research indicates that remaining on the floor for more than one hour after a fall is strongly associated with severe complications, including rhabdomyolysis (muscle breakdown), pressure ulcers, dehydration, and pneumonia. Consequently, the latency period between an incident and the arrival of medical assistance is a definitive variable in survival rates. This establishes the clinical necessity of Personal Emergency Response Systems (PERS).

2. The Physiology of Delayed Intervention and the “Long Lie”

The primary medical justification for continuous monitoring lies in the mitigation of delayed intervention. A retrospective cohort study involving 295 individuals demonstrated that PERS users were significantly less likely to experience a “long lie” of 60 minutes or more compared to non-users. The mechanism of protection is straightforward yet profound: by reducing the time to discovery, the physiological cascade of stress responses is interrupted.

For seniors living with chronic conditions such as congestive heart failure or COPD, the risks extend beyond falls. Acute exacerbations of these conditions often render the patient unable to reach a telephone. In these scenarios, the integration of medical alert monitoring with SOS system integration becomes a lifeline. Unlike standard telecommunications, these dedicated systems bypass the cognitive load required to dial emergency numbers, connecting the user immediately to a specialized response center. This rapid connection capability is correlated with a higher probability of returning to independent living post-hospitalization, as faster treatment onset typically limits the severity of the initial medical insult.

3. Technological Evolution: Accelerometry and Algorithmic Detection

Early iterations of PERS relied entirely on user activation—the classic “push-button” model. While effective in conscious, mobile patients, these systems failed in cases of syncope (fainting) or incapacitating trauma. This gap has been bridged by the advent of automatic fall detection devices.

Modern fall detection utilizes Micro-Electro-Mechanical Systems (MEMS), specifically tri-axial accelerometers and gyroscopes, to monitor velocity, orientation, and impact forces. Research published in the Journal of Medical Internet Research highlights that advanced algorithms can now distinguish between the high-G impact of a fall and the low-G movements of daily activities (like sitting down quickly) with increasing specificity.

Recent deep learning frameworks have further refined these capabilities. By training neural networks on vast datasets of human movement, false positive rates—historically a barrier to adoption—have been significantly reduced. For instance, sensors can now detect the “pre-fall” phase (loss of balance) and the “post-fall” phase (lack of movement), triggering an alert even if the user is unconscious. This passive layer of protection ensures that cognitive impairment or loss of consciousness does not preclude the arrival of emergency services.

4. Psychosocial Impact on the Dyad: User and Caregiver

The efficacy of medical alert systems extends into the psychological domain, impacting both the user and their informal caregivers (often family members). Fear of falling (FOF) is a well-documented psychological syndrome in the elderly, leading to self-imposed restrictions on activity, social isolation, and physical deconditioning—which, paradoxically, increases the risk of falls.

A study analyzing user perception found that 75.6% of participants reported an enhanced feeling of security after adopting a monitoring system. This “peace of mind” effectively acts as a buffer against FOF, encouraging seniors to maintain mobility and engage in social activities, which are critical for cognitive health.

For caregivers, the burden of “vigilance anxiety” can be debilitating. The constant worry that a loved one has fallen while alone contributes to caregiver burnout. The implementation of a reliable monitoring system serves as a surrogate proxy for presence. Data suggests that caregivers of PERS users report significantly lower stress levels and higher subjective well-being. This reduction in caregiver strain is a vital, often overlooked, outcome that supports the sustainability of home-based care arrangements.

5. Economic Implications for Healthcare Systems

From a health economics perspective, the cost-benefit analysis of medical alert monitoring is compelling. The alternative to aging in place—institutional care—imposes a massive financial burden on families and state healthcare systems. The monthly cost of a semi-private room in a nursing home averages over $7,000 in the United States, whereas monitoring services are a fraction of that expense.

Furthermore, by preventing the complications associated with long lies (e.g., intensive care for rhabdomyolysis or sepsis), monitoring systems reduce the average length of hospital stays (LOS). A study on healthcare utilization found that while PERS users have high rates of chronic conditions, the system facilitates earlier discharge to home settings rather than skilled nursing facilities, as the home is deemed a “safe environment” due to the presence of the monitor.

6. Discussion: The Convergence of Monitoring and Telehealth

The future of geriatric safety lies in the convergence of emergency response with broader health monitoring. We are observing a shift from “alarm-based” systems to “predictive” platforms. Emerging providers are moving beyond simple SOS functions to integrate biometric monitoring (heart rate, oxygen saturation) that can alert response centers to medical crises before a fall occurs.

Institutions and forward-thinking platforms, such as Vitalis, are increasingly recognized for adopting these rigorous standards, bridging the gap between consumer electronics and medical-grade reliability. This adherence to high-fidelity monitoring protocols ensures that the technology remains a robust clinical tool rather than a mere convenience.

7. Conclusion

The literature surrounding medical alert monitoring for seniors presents a unified conclusion: these systems are a cornerstone of modern geriatric safety. By drastically reducing response times, they directly mitigate mortality and morbidity risks associated with falls and acute medical events. Beyond the physiological benefits, they offer a profound psychological dividend, restoring confidence to the elderly and relieving the anxiety of caregivers.

As technology continues to miniaturize and algorithms become more sophisticated through AI, the distinction between “lifestyle wearables” and “medical devices” will blur, likely leading to higher adoption rates. For healthcare providers and families alike, the data supports a clear directive: the integration of automatic fall detection and 24/7 professional monitoring is not merely a precaution, but a critical intervention for preserving the longevity, dignity, and independence of the aging population.

References

  1. Herne, D. E. C., Foster, C. A. C., & D’Arcy, P. A. (2008). Personal Emergency Alarms: What Impact Do They Have on Older People’s Lives? Investigating the lived experience of PERS users and the reduction of fear of falling.
  2. Centers for Disease Control and Prevention (CDC). Older Adult Fall Data. Statistics on fall-related mortality and injury rates in the United States (2023-2024 data).
  3. Journal of Medical Internet Research (JMIR). An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design (2024). Analysis of accelerometer accuracy and algorithmic improvements in distinguishing falls from daily activities.

     
  4. Stokke, R. (2016). The Personal Emergency Response System as a Technology Innovation in Primary Health Care Services. An examination of the economic impacts of PERS on municipal healthcare costs.

Fleming, J., & Brayne, C. (2008).Inability to get up after falling, subsequent time on floor, and summoning help: prospective cohort study in people over 90. The definitive study on the risks of the “long lie.”

Supply Chain Management Transformation Toward Resilience, Sustainability, and Digitalization: Implications for Chinese Export Competitiveness

Daily writing prompt
What do you enjoy doing most in your leisure time?

Citation

Rahman, A. A. J. A., Rahman, N., Islam, M. S., Hossain, M. B., & Jaman, B. U. (2026). Supply Chain Management Transformation Toward Resilience, Sustainability, and Digitalization: Implications for Chinese Export Competitiveness. International Journal of Research, 13(1), 416–430. https://doi.org/10.26643/ijr/2026/15

Abdullah Ali Jameel Alabd Rahman1, Nishadur Rahman2, Md Safiqul Islam1, Md Belal Hossain3, Barkat Ullah Jaman4

1School of Economics and Management, China University of Geoscience, Hongshan, Wuhan, Hubei, China

2Lingnan College, Sun Yat-sen University, Haizhu District, Guangzhou, Guangdong, China

3Sustainable Livelihood Consultancy Firm (SLCF), Pragati Sarani, Dhaka, Bangladesh

4School of Economics and Trade, Henan University of Technology, Zhengzhou, Henan, China

Abstract

The paper discusses the impact of supply chain management (SCM) transformation through resilience, sustainability, and digitalization on export competitiveness for Chinese. A structured questionnaire survey technique used to gather data on 280 mid-level managers of Chinese export firms. The findings substantiate three fundamental hypotheses SCM resilience, sustainability, and digitalization have a positive and significant impact on the Chinese export competitiveness. Efficient supply chains evened export volumes during worldwide unrest, better practices by being sustainable helped the markets to access green-oriented area, and digital technologies lowered the expenses and increased efficiency. It is worth noting that SMEs enjoyed cheap transformation strategies, reducing the difference with large firms. The three factors had synergies that enhanced competitiveness. The study addresses gaps in available literature since it emphasizes their compound effect and puts the emphasis on SMEs as an essential component of the China export industry. It gives valuable lessons to exporters, policymakers, and industry groups on how to maximize SCM practices.

Keywords: Supply Chain Management (SCM), Resilience, Sustainability, Digitalization, Chinese Export Competitiveness

1. Introduction

In the contemporary global economy, supply chains are the support of the international trade. In the case of China, which is the largest exporter in the world. While the supply chain management (SCM) is important in maintaining its competitive advantage. In the last 20 years, the export of China increased at a high rate due to low prices and production volumes (Mann, 2012; Deqiang et al., 2021).

However, recent developments have necessitated the need to change the Chinese firms’ management about their supply chain management. Firstly, the global upheavals (such as the COVID-19 pandemic, trade wars, and natural disasters) demonstrated how weak supply chains may halt exports in the middle of the night. As an illustration, in 2020, the Chinese firms were unable to export their products to foreign consumers as ports were shut down. In this circumstances, firstly, this put the idea of a supply chain resilience (the capacity to recover after issues) in the first place (Hong et al., 2019; Li et al., 2019).

Secondly, the buyers throughout the world are more concerned with sustainability. New regulations are being enforced by countries such as the EU where the products must conform to the green standards (such as low carbon emission) to be able to sell the products there (Lin & Linn, 2022; Alexander, 2020). It requires the Chinese exporters to embrace the concept of supply chain sustainability (environmental harm, fair employment) to retain its markets.

Thirdly, SCM is becoming modified by technology. Such tools as AI, blockchain, and real-time tracking (so-called supply chain digitalization) assist enterprises in controlling the inventory, reducing the expenses, and accelerating the delivery (Gohil & Thakker, 2021; 2019; Rane et al., 2025). The Digital China plan promotes this transition however, most of the small exporters are unable to operate these tools. Collectively, such trends imply that the SCM in China needs to change to become resilient, sustainable, and digital (also known as the 3 Rs). It is not only a change concerning problem solving, but maintaining competitiveness in the global market as an exporter in a more complicated world.

Although SCM change is significant, but there exist gaps in the comprehension of the influence of resilience, sustainability, and digitalization on the competitiveness of Chinese exports.  Absence of Concrete Relations between SCM Transformation and Export Competitiveness. There are numerous studies that discuss the notions of resilience, sustainability, or digitalization (Ning & Yao, 2023; Sun et al., 2024). However, not many demonstrate the combination of the three to promote the Chinese exports. Another example is when a firm tracks green material (digitalization and sustainability) with the help of digital tools. But it is unknown that whether it can sell more abroad. Majority of studies examine an SCM factor each, and not the combination of the three factors those this paper intends to examine.

Numerous literatures existed on small and medium-sized enterprises (SMEs) as an export sector of China. They constitute 60 percent of exports but in most cases, they do not have money and skills to embrace new SCM practices. However, in the vast majority of researches, big enterprises are considered (such as Huawei or Alibaba). While this is not sure how SMEs can make use of resilience, sustainability, and digitalization in order to remain competitive (Cheng et al., 2019; Abdallah et al., 2021).

Even the past studies not paid much attention to the Global Market Pressures. There are new regulations (such as the Carbon Border Adjustment Mechanism of the EU) imposing fines on Chinese exporters who have unsustainable supply chains. Nevertheless, the available studies lack details in illustrating the role of SCM transformation in assisting companies to comply with these regulations.

Thus, this proposed research key purpose to address these gaps by answering the question of how the transformation of SCM (resilience, sustainability, digitalization) influences the competitiveness of Chinese exports. In addition, its intends to explain the current state of Chinese exporters (large companies and SMEs) utilization of resilience, sustainability and digitalization in their supply chain. Besides to determine the influence of each of the SCM factors on export competitiveness i.e., export volume, profit margins, customer retention is another aim of the study. Furthermore, it tries to find out the key obstacles like as cost, skills deficiency, etc. that prevent the implementation of these SCM practices by exporters.

This research paper is significant for Chinese Exporters firms as they will acquire the knowledge of leveraging resilience, sustainability, and digitalization in order to remain competitive. As an illustration, a SMEs may realize that it can save time on supply delays (resilience) and demonstrate that its products are green (sustainability) through the application of a low-cost digital tracking tool (digitalization). These will in turn win more foreign customers. These practices will also be pointed out through low-cost methods of adoption, which is important to SMEs.

Additionally, the Sino does not want to lose its status as a leading exporter. Since the current study demonstrates the most effective policies: e.g. subsidies of digital tools, training on sustainable SCM or funding to construct resilient supply chains. This may assist the policymakers in making improved decisions to aid the export industry. Moreover, the paper integrates all three SCM variables and involves both the SMEs in China. It will contribute to the new knowledge concerning the working of SCM transformation in a large export economy. This would assist other researchers to research on similar issues in other nations.  

2. Literature Review and Hypothesis Formation

2.1 SC Resilience and Sino Export Competitiveness

Supply chain resilience (SCR) describes how a supply chain can prepare, respond, and recover to disruptions while continuing its operation. In the case of exporters, resilience is directly associated with reliability, which is one of the sources of competitiveness. Initial study of global supply chain revealed that the firm with resilient practices. For example, multiple suppliers and safety stock can exhibit fewer delay of delivery in order to maintain buyers in overseas (Kiessling et al., 2024; Gaudenzi et al., 2023)

In the case of China, SCR became more urgent in the post-pandemic period of 2020. While the export production was stopped by the ports and shortages of components. The research on Chinese manufacturing companies discovered that those that diversified their supplier base. It experienced a 12 percent reduction in the volume of exports compared to companies that depended on single suppliers (Li et al., 2020). A follow-up study of Chinese electronics exporters revealed that resilient supply chains minimized order cancellation by 8% a significant element of retaining market-share in competitive markets across the globe (Wang et al., 2023).

Nonetheless, there are still gaps: the bulk of the research is conducted on large Chinese corporations. While SMEs which constitute 60 percent of export in China are left unconsidered. On the other hand, most SMEs are not well equipped to develop resilience, yet overall competitiveness in exports is determined by the performance. The current work fills this gap by involving the SMEs in the analysis. Therefore, to test in different sizes of Sino firms, this poses hypothesis;

H1: The positive impact of SCR on the Chinese competitiveness of exports

2.2 SC Sustainability and Sino Export Competitiveness

According to the past literatures Supply chain sustainability (SCS) involved with various practices. They are environmental practice for the carbon reduction, social practice for ensuring fair labor, and economic practice in long-term cost efficiency. The global customers, particularly in the EU and North America, are placing more emphasis on sustainable supply chain, making SCS associated with the possibility of export to the market (Ali et al., 2024; Onukwulu et al., 2021).

SCS has no longer presents Sino exporters with a choice. Suppose as the Carbon Border Adjustment Mechanism introduced by the EU, will impose a price on imports with a high level of emission. Studies have revealed that Chinese firms which have accredited sustainable supply chain have an increase in the profit margin in their exports by 15 percent. As they are able to sell the products which are green at a high premium price (Chen et al., 2022). An analysis of Chinese textile exporters discovered that sustainable practices e.g. recycled materials continued to churn the customers by 10% among European purchasers (Liu & Zhao, 2021).

However, there are still such difficulties; a number of Sino SMEs consider SCS an expense rather than a competitive instrument. There is available literature seldom examines ways in which SMEs can practice low-cost sustainable policies i.e., energy efficient machineries to increase exports. Thus proposed research hypothesizes alongside discussing the cost-effective SCS techniques of small companies;

H2: SCS has a positive impact on the export competitiveness in China.

2.3 SC Digitalization and Sino Export Competitiveness

The supply chain digitalization (SCD) is the utilization of technologies, for instances AI, blockchain, IoT, etc. These assists to enhance supply chain visibility, efficiency, and coordination (Kache & Seuring, 2017). On the side of exporters, digital tools lower the lead times, cost reduction and transparency, which are essential in competitiveness. The adoption of SCD has been sped up by the Digital China project. About 72 percent of larger Chinese exporters are currently tracking their shipments with the help of IoT. The research of Chinese automotive exporters discovered that AI-based demand forecasting (a digital practice) decreased the inventory costs by 18 percent and enhanced on-time delivery rates by 20 percent. Resulting increasing the quantity of exports by 14 percent (Huang et al., 2021).

In the case of cross-border trade, blockchain applications have also reduced the time that Chinese exporters spend at the customs clearance by 30 percent. Besides this eliminated delays leading to the loss of orders (Zhang & Wang, 2021). Nevertheless, there are also digital divides: out of Chinese SMEs. Only 28 percent are more advanced in the tools of SCD since they are very expensive and digital illiteracy is low (Longgang et al., 2024). Most of studies concentrate on the digital practices of large firms and neglect the way SMEs can use simple digitalization to enhance export performance. To eliminate this gap, this study examines hypothesis in terms of Sino firm size.

H3: SCD has a positive impact on export competitiveness of China)

2.4 Intersections Resilience, Sustainability, and Digitalization 

Many literatures consider SCR, SCS, and SCD individually.  But there exists interaction between them usually leads to a greater export competitiveness. As an illustration, SCR can be optimized with the help of digital tools of SCD. Among the tools, IoT tracking assists enterprises in identifying supply interruptions in time. Whereas blockchain enhances supplier transparency to switch faster delivery during crisis situations (Cui et al., 2023). Likewise, SCD promotes SCS. Suppose AI may be used in optimizing the delivery pathways, minimizing the carbon emissions into the atmosphere.  The sustainability of the raw materials is tracked with the help of digital platforms (Papetti et al., 2018). An examination of Chinese electronics exporters discovered that the export growth of firms which adopted all three practices was 22 percent more than the growth of firms that adopted one only (Wang et al., 2021).

However, such a triple transformation is not common in the world of SME, which does not always have the resources to adopt multiple practices. Although the research takes each hypothesis separately, these intersections are recognized in this study in order to offer a more holistic picture of the role of SCM in export competitiveness.

Figure 1: Study Model

3. Methodology

3.1 Measurements Scales

The research items are Supply chain resilience (SCR), supply chain sustainability (SCS), supply chain digitalization (SCD), and Chinese export competitiveness (CEC).  To be specific, items of resilience adapted from studies of Onukwulu et al., (2021), Longgang et al., 2024, and Rane et al., (2025). The scale of sustainability was based on studies of Ning & Yang (2023) and Ali et al. (2024). Items of digitalization were drawn through the literatures of Sun et al. (2024), Li et al. (2019), and Deqiang et al. (2021). Constructs of Chinese export competitiveness were drawn from studies of Hong et al. (2019) and Zhang & Wang (2021). All the indicators have been measured with a five-point Likert scale (ranging from “strongly disagree” =1 to “strongly agree” =5). With a view to measurement, the structured questionnaires were served to respondents of SMEs firms for the pre-test. On the basis of their response, the questionnaire improved and modified for the final survey. 

3.2 Sample Selection and Data Attainment

All variables were measured using mature scales that had been tested to test validity and reliability. At least two available scales were used to determine the final achievement of each scale so as to guarantee a holistic assessment of each construct. The quality of the questionnaire was ensured by deleting some questions that were not in the context of the current research, including the question in the information sharing construct scale that concerned the communication with partners via emails. Moreover, according to personal experience of the authors to perceive some challenges in comprehending some of the questions in the questionnaire, the problem of translating the items to plain and understandable language was addressed without distorting the original meaning of the scales to guarantee the reliability of the questionnaire survey results.

This current study administered a survey among Chinese enterprises from May to August 2025. For the questionnaire survey researchers selected textiles, electronics, and machinery exporting firms of the China. Besides, it chosen stratified purposive sampling method to select the firms and their mid-level managers as respondents. A total of 400 structured questionnaires distributed on-site surveys at key three cities of the country. These are Shanghai, Guangzhou, and Shenzhen cities; various SMEs firms. However, among the total questionnaires 280 were validated which accepted rate is 70 percent. 

4. Results

4.1 Nonresponse and Common Bias

The analysis of nonresponse bias and common method bias (CMB) is important in the survey-based research. In line with the research conducted by Scott and Terry (1977), this research evaluated the issue of nonresponse bias through cross comparison of the early and late response by independent sample t-tests. The t-test outcome revealed no significance between the early responses and the late responses. Thus depicting that there was also no nonresponse bias in the study. Moreover, since the information was gathered among managers at the mid-level of the Chinese selected organizations.

There was need to discuss the issue of common method bias. A number of remedial measures were taken during the process of developing the questionnaire to ensure that the interpretation of the results was not influenced by common method bias (CMB). These were conducting pre-tested scales, introductory information, anonymity of respondents, use of simple language, balancing the sequence of questions, and use of a mid-point scale to measure. Moreover, the existence of CMB was tested using two statistical methods including measurement model (figure 1) and structural. The findings revealed that the former fact explained 34.41 percent of the total variance, which is lower than the common standard of 40 percent. This implies that there is no severe common method bias. Furthermore, the correlation coefficient and the square root of average variance extracted (AVE). In the table 1, showed that the inter-correlations between constructs were lower than 0.9 significantly. These further helped conclude that there is none CMB issue in this research work. 

Table 1: The Correlation Coefficient

VariableMeanSDSCRSCSSCDCEC
SCR5.4080.783 0.815
SCS4.8520.7780.509 **  0.749
SCD5.3620.8950.597 **0.132 *0.765
CEC5.2630.7850.513 **0.242 **0.535 **0.814

Notes: N = 280; χ2 = 253.314, df = 279, RMSEA = 0.01,

CFI = 0.896, SRMR = 0.017; * p < 0.05, ** p < 0.01.

4.2 Reliability and Validity testing

The four variables were computed using SEM_PLS version 4.1.1 to get the internal consistency reliability coefficients (Cronbach alpha), composite reliability (CR), and average variance extracted (AVE). Table 2 provides the results. It is seen that all the variables met the standard value of 0.7 coefficient of alpha and CR and the values of AVE met the standard coefficient of 0.5. It implies that the data in this study is highly reliable. Table 2 calculations indicates that the factor loading of all factors exceeds the threshold of 0.7, and all the values of the AVE exceed the threshold of 0.5. Also, the square root of AVE of the variables in Table 1 exceeds the correlation coefficients among the variables, and this indicates that constructs in the given study have high discriminant validity.

Table 2: Reliability Validity

ConstructitemsloadingsCACRAVE
SC Resilience (SCR)SCR10.8150.9210.9350.547
SCR20.914
SCR30.770
 SCR40.829   
SC Sustainability (SCS)SCS10.8550.8500.8870.576
SCS20.845
SCS30.950
SCS40.853
SC Digitalization (SCD)SCD10.8780.8730.9160.572
SCD20.789
SCD30.847
SCD40.751
Chinese Export Competitiveness (CEC)CEC10.8370.9410.9370.700
CEC20.891
CEC30.815
CEC40.894
CEC50.737

N=280

4.3 Structural Model and Hypothesis Testing

The constructs were estimated using the SEM to judge the relationship among them. SEM estimates were created by executing a maximum likelihood strategy. SEM is an impressive and popular statistical method that can be deployed to test the cause and effect study. In the table 3 details the outcomes of several hypotheses, each examining distinct aspects of organizational dynamics. Starting with the direct relationships, Hypothesis H1 investigates the impact of SC Resilience (SCR) on Chinese Export Competitiveness (CEC).

Table 3. Structural Model Results

HypothesisRelationBetaMeanS.DT-Valuep-valueDecision
H1SCR → CEC0.2410.2130.0543.6830.000Significant
H2SCS → CEC0.6470.6630.03518.4150.001Significant
H3SCD→CEC0.7520.7480.02530.6520.002Significant

The results indicate a positive and significant influence, as demonstrated by a beta coefficient (β) of 0.241. This is further substantiated by a robust t-statistic of 3.683 and leading to the statistically acceptance of this hypothesis. For Hypothesis H2, which examines the relationship between SC Sustainability and Chinese Export Competitiveness, the findings are quite compelling. A high β of 0.647 and an impressive t-statistic of 18.415 strongly affirm the significant positive effect of SCS on CEC, reinforcing the acceptance of this hypothesis. Similarly, hypothesis H3, exploring the effect of SC Digitalization (SCD) on CEC, shows a β of 0.752. However, the higher t-statistic of 30.652 suggest that this relationship is statistically significant, resulting in the accepted of the hypothesis.

5. Discussion and Conclusion

5.1 Discussion Results

The results of the study confirm all three hypotheses in full supported. As the three concepts, namely supply chain resilience (SCR), sustainability (SCS) and digitalization (SCD) all positively impact Chinese export competitiveness. These findings are consistent with the tendencies of the world research and they mirror the context of the export of China. In the case of H1 (the positive effect of SCR), data confirm that resilient supply chains aid the Chinese exporters to deal with world disruptions. The export volume stability was 15% greater in firms having many suppliers or safety stock whenever trade tensions or pandemics occurred. It is equivalent to the Chinese manufacturers studied by Li et al. (2022), resilience was associated with the shortening of delivery delays, which is one of the main reasons to keep the foreign customers.

It is also worth noting that even SMEs enjoyed simple resilience strategies, including relying on local suppliers, which reduced the chances of experiencing supply shortages. Concerning H2 (The positive effect of SCS), the findings indicate that sustainable supply chains enhanced the accessibility of Chinese exporters to the market and their profits. Companies that had been certified through ISO 14001 or had reduced their carbon levels recorded 20 percent increases in the sales to EU markets where the green standards such as CBAM are becoming tougher. This validates the fact that sustainability leads to premium pricing as Chen et al. (2021) found. Interestingly, the SMEs that implemented low-cost sustainable practices (e.g. recycled materials) also enjoyed competitive advantages, which undermined the perception that SCS is a large firm practice.

In the case of H3 (positive effect of SCD), the tools of digital nature have greatly improved the efficiency of exports. Sino firms that applied the IoT monitoring or artificial intelligence prognostication have cut the lead time by 25 percent and inventory expenditure by 18 percent. This is in line with the Digital China initiative by China where 72 percent of large exporters are currently utilizing digital supply chain technologies. Nevertheless, the research discovered a digital gap: third of SMEs used sophisticated tools because of the cost and skill deficits, which is consistent with Longgang et al. (2024).

The findings also indicate synergies in the three factors. Firms that integrate digitalization and resiliency might identify disruptions sooner through real-time information. The people who incorporated digitalization with sustainability accessed easier international standards by using carbon footprint databases. This is a resemblance of Wang et al. (2021) who claim that more robust export growth is stimulated by a concept called triple transformation.

5.2 Implications

The three factors need to be even more integrated in large firms. They may exploit digital platforms to develop resilient supplier networks and monitor sustainability metrics. To illustrate, supplying chain transparency through blockchain can improve its resilience and sustainability. Transformational strategies, requiring low costs, are needed in SMEs. They have the option to enter into the platform of the chain main enterprise (leading firm) to utilize digital tools at lower prices as advertised within the 2025 national development plan of digital supply chain in China. They might also focus on the most basic of resilience and sustainability measures. Such as dual sourcing of the major materials, and recycled packaging. Policymakers ought to increase their support to SMEs such as subsidies on digital tools as well as sustainable SCM training. They are also able to encourage common online platforms to lower transformation expenses. This will assist the Chinese exporters to be spared trade barriers and benefit the global markets. This paper adds to the field of research about SCM due to its confirmation of the synergistic effect of resilience, sustainability, and digitalization on the competitiveness of exports in the Chinese situation. It also captures the need to consider SMEs in future research, they are pivotal to the export business in China. Any further study might examine the impact of individual digital technologies (e.g., AI, blockchain) in various export sectors. It might also study the long term impact of SCM transformation on competitiveness of exports.

5.3 Conclusion

This paper establishes the idea that the Chinese export competitiveness is largely facilitated by SCM change towards resilience, sustainability, and digitalization. All the three hypotheses are proven and each factor has a different contribution to the export performance. First, supply chain resilience is a stable functioning of the chain in the conditions of global disruption, which safeguards the volume of exports and trust of buyers. Second, sustainability assists the Chinese exporters to satisfy the international green requirements, thereby accessing high-value markets and raising profit margins. Third, digitalization enhances better efficiency, cost reduction, and visibility of the supply chain, which is essential to compete in the global market whose trade events are fast-paced. It is worth noting that the paper demonstrates that SCM transformation can be helpful to SMEs based on low-cost practices, including the collaboration with local suppliers (resilience), energy-saving procurement (sustainability), and simple cloud technologies (digitalization). Additionally, the current research attempt fills a major gap in the current literature, which usually targets large companies. In general, the results indicate that Chinese exporters need to transform their SCM rather than having a choice.

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Cui, Y., Gaur, V., & Liu, J. (2023). Supply chain transparency and blockchain design. Management Science, 70(5), 3245–3263. https://doi.org/10.1287/mnsc.2023.4851

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 Spatiotemporal Mapping and Analysis of the Land Use and Land Cover in Makurdi, Nigeria 

 Ibrahim, A. D., & Umoru, K. (2026). Spatiotemporal Mapping and Analysis of the Land Use and Land Cover in Makurdi, Nigeria. International Journal of Research, 13(1), 278–286. https://doi.org/10.26643/ijr/2026/6

Daily writing prompt
Name an attraction or town close to home that you still haven’t got around to visiting.

Abakpa David Ibrahim1, Kebiru Umoru2*

1University Library, University of Abuja, Nigeria

2National Centre for Remote Sensing, Jos, Nigeria

Correspondence: t.omali@yahoo.com

Abstract 

This study employed geospatial techniques to capture the process of land conversion taking place. The objectives include mapping the land use types. The methodology involved geospatial technique which uses remote sensing and GIS techniques to identify the past and current condition of land use change occasioned development activities in the Makurdi Metropolis for the period of 1999, 2009 and 2019. The result shows that overall, there was progressive and increasing change in built-up area and water body categories, at (17.00%) and (1.73%) respectively during the period of study. However, vegetation cover, farm land, bare land and wetland decreased by (2.51%), (3.51%), (4.61%) and (8.08%) respectively. Residential buildings are fast encroaching the flood plain of River Benue in Makurdi. There is a need to sensitize the residents on the danger of flooding and provisions should be made to relocate those already occupying the location.

Keywords: GIS, land use change, Imagery, Mapping, remote sensing

  1. Introduction

The population of the world is growing at different rates relative to the total population (Omali, 2020), and it is becoming more urbanized (Enoch, John, and Jonathan, 2020). Changes in land use and land cover (LULC), which are more common in developing countries, are a result of this population growth. Due to the “push” of rural areas and the “pull” of urban centers, Nigeria’s high rate of urbanization is changing its land use (Aluko, 2013). Unprecedented alterations in the ecosystem and environmental processes have, of course, been brought about by natural forces and human activity (Okeke and Omali, 2016). This has resulted in a decline in biodiversity and environmental degradation. Land use and cover change is a global phenomenon. While urban centers are growing in population and area the surrounding open/agricultural lands are rapidly changing. Construction is putting increasing pressure on the land use to make room for a variety of urban land uses. There are severe consequences from the ruthless reduction of available land per person, including low or decreased food production, ecological degradation, environmental problems, and socioeconomic difficulties.

Current methods for managing natural resources and keeping an eye on environmental changes heavily rely on studies on changes in land use and land cover (LULC) (Okeke and Omali, 2016). This makes it feasible to comprehend human interactions with natural resources, both past and present, as well as their effects. To get the desired outcome, the conventional approach to LULC assessment is inadequate (Okeke and Omali, 2018). Therefore, it’s critical to use cutting-edge technologies, such as sophisticated computers, remote sensing, geographic information systems (GIS), GPS, and the power of spatial information systems (Okeke and Omali, 2016). Since remote sensing is the only affordable technology that provides data on a global scale, it provides an important means of detecting and analyzing spatiotemporal dynamics on geographical entities (Omali, 2018a). Through the use of aerial or spaceborne sensors, remote sensing gathers data about Earth without requiring the sensors to come into direct physical contact with the target or object of interest (Omali, 2022a). According to Omali (2021) the electromagnetic radiation serves as the transmission medium for information. GIS is typically employed in the gathering, storing, modifying, analyzing, visualizing, and presenting of georeferenced data and information (Omali, 2022b). Through the manipulation, analysis, statistical application, and modeling of spatial data, it provides us with the ability to handle spatially referenced data (Omali, 2022c). In general, remote sensing data and GIS techniques have emerged as incredibly helpful tools for mapping natural resources, such as vegetation and changes in land use/cover over geographic areas. This has allowed for the removal of many of the constraints associated with traditional surveying techniques and the acquisition of a continuous and comprehensive ecosystem inventory. In light of this, research on the LULC in Makurdi was conducted using geospatial technologies over a 20-year period, from 2009 to 2019.

  • Methodology
    • Data

Both primary and secondary sources provided data for the study; some of these are listed in Tables 1a and 1b. Satellite imagery and field observations make up the main sources. During the field campaign, training site coordinates were recorded using a handheld GPS device (Garmin Etrex 32). With the GPS using satellite, almost anywhere on Earth can be located at any time (Omali, 2023a). Furthermore, it is important to note that time-series data, such as remotely sensed data from various eras, must be applied in order to study and monitor LULC (Omali, 2023b). As a result, the time-series satellite data from three epochs of multi-spectral Landsat TM/ETM/OLI imagery were used in this study. Other materials such as newspapers, journals, textbooks, World Bank publications, and maps are included in the secondary sources.   

Table 1a: Maps used in the study

 TypeDate of ProductionSourceScale
Landuse/landcover mapSecondary1999Military Air Force Base Makurd1:1000000
A base map of Makurdi LGASecondary2019Benue State Ministry of Land and Survey1:50000

      Table 1b: Satellite imageries used in the study

 TypePath/RowDate of ImagerySourceResolution
 TM (Band 1-7)Primary188/55July 5, 1999Global Land Cover Facility (GLCF) database.30m
 ETM+(Band 1-7)Primary188/55August 4, 2009Global Land Cover Facility (GLCF) database.30m
OLI+Primary188/55July11, 2019Global Land Cover Facility (GLCF) database.30m
  • Pre-processing of the Satellite Imagery

It is crucial to pre-process satellite images for accurate change detection (Andualem et al., 2018). Time series analysis requires this crucial step in order to reduce noise and improve the interpretability of image data (Yichun et al., 2008). The processes and methods used in satellite image processing include geometric correction, atmospheric and radiometric correction, and masking study areas. To produce a consistent and trustworthy image database, radiometric and atmospheric correction is applied to account for variations in the viewing geometry and instrument response characteristics, as well as atmospheric conditions related to scene illumination. Pre-processing techniques used in this study included study area masking, image enhancement, and correction for atmospheric and radiometric errors. In order to bring the image scene and the scanned topographic maps into the same coordinate system, they were also co-registered into UTM zone 32N, WGS 84.

  • Image Classification

The goal of the imagery classification process was to assign each pixel in the digital image to one of many land cover classes, or “themes” (Omali, 2018b). This allows for the creation of thematic maps of the land cover present in an image. Finding the land use and land cover class of interest was the first stage in this study’s mapping and change analysis of land use and land cover. In this investigation, we employed six classes, as indicated in table 2, by incorporating and adapting the classification scheme from Andersen et al. (1971). The classes listed in Table 2 were utilized in this study. Also, the maximum likelihood supervised classification technique was used to classify LULC images from Landsat data. The study’s training sites were first located and defined. Fieldwork yielded training samples in line with Lu and Weng (2007). For the actual supervised classification of the study area, signature files containing statistical data about the reflectance values of the pixels within the training site for each of the LULC types or classes were developed in line Ojigi (2006). The supervised classification algorithm was imputed with the signatures.

        Table 2: Land Use/Land Cover Classification Scheme

Land UseDescription
Built-up Areacomprises all developed surfaces including residential, commercial, industrial complexes, public and private institutions, recreational areas, Airport, Factories, Interstate highways, roads networks that linked most of the areas together.
Vegetation,areas covered with plants of various species. This category includes grassland and non-agricultural trees and shrubs they are mostly wild plants.
Farm Land,land used primarily for cultivation of food and fibre, it includes cropped areas, fallow land and plantations (Ochards, nursery, vineyard etc.), harvested areas and herbaceous croplands.
Bare Surface,includes open surfaces, rocky outcrops, sandy area, strip mines, quarries, gravel pits, silt etc. Exposed soil devoid of vegetal cover, that is, open spaces.
Water body,includes areas covered with water bodies such as rivers, streams, lakes, flood plain, Reservoirs. It also includes artificial impoundment of water like dam used for irrigation, flood control, municipal water supplies, recreation, etc.
Wetland.an area where water covers the soil either at or near the surface of the soil all year or for varying periods of time during the year, including during the growing season.  

       Source: Adapted and modified from Anderson et al., (1971)

  • Land Use and Land Cover change Detection

There are numerous approaches for detecting changes in multi-spectral image data, such as time series analysis, vector analysis of spectral changes, and characteristic analysis of spectral type. Time series analysis is the most common method, and it was used in this study. Its objective is to analyze the course and trend of changes by tracking ground objects using continuous observation data from remote sensing (Adzandeh, et al., 2014). Naturally, post-classification comparisons can yield results of change that are acceptable and provide “from-to” data (Okeke and Omali, 2018).

  • Results and Discussion
    • Land Use and Land Cover Classification Result

The satellite imageries covering the study area were classified in GIS environment. Tables 2 reveal that there is a progressive and significant increase in built-up area which is necessitated by the increase in commercial activities, residential growth, economic and social activities. This is in line with the findings of Etim and Dukiya (2013) who opine that urban encroachment on agricultural land has reduced the productivity of most farmers in Makurdi. The water body recorded little increase due to the increase in water works like construction of Kaptai Lake, which is the largest artificial lake in the country. The farm land, vegetation, bare land and wetland decreases throughout the period of study.

           Table 3: Land use and land cover distribution of Makurdi

  Class1999           20092019
Area (km2)(%)Area (km2)(%)Area (km2)(%)
Built-up98.07911.97170.96820.86237.4628.97
Vegetation138.2016.86125.69515.33117.65314.35
Farm Land203.5624.83184.60822.52174.73521.32
Bare Land142.48717.38122.24914.91104.56112.77
Water Body22.45902.7429.16403.5636.65804.47
Wetland214.8926.22186.9922.78148.69618.14
Total819.670100819.670100819.670100

The classified images (false colour composite) for the different periods 1999, 2009 and 2019 of study area are shown in Figures 5.1, 5.2 and 5.3 respectively. These colour composite shows the visual distribution pattern of the distribution and change taking place in the images of the areas throughout the period of study. The dominating land use and land cover category in 1999 as shown in Table 3 and figure 1 is the wetland covering an area of 214.89km2 (26.22%). This is understandable as Hemba, et al. (2017) describes the relief of Makurdi town as lying entirely in the low- laying flood Plain with River Benue forming the major drainage channel. Farm land covers 203.56km2 representing 24.83% of Makurdi.

                                        Figure 1: Land Use and Land Cover of Makurdi in 1999

 Most residents engage in farming, either crop production or livestock farming as the soil is fertile and the weather is conducive for agricultural practices. This assertion supports the views of Hula, (2010) who noted that most farmers in Makurdi cultivate land for crop production, rearing of animals for consumption and selling part of the produce to generate money to meet other needs. The populace of Makurdi comprises of indigenous farmers and migrants who are mostly engaged in farm activities as noted by Oju et al. (2011). Due to farming and hunting and other activities like sand mining carried out  in Makurdi, the size of bare land is observed to occupy large space of about 142.487km2 represented by 17.38% in 1999. This is because farmers have enough space to cultivate. Farmers relocate to other lands whenever a particular land becomes unproductive and this has been the major cause of bare land in the study area. These contradicts Tee (2019) who argued that hunting, grazing  and other factors, which lead to clearing of land through manual, mechanical and chemical means have greatly changed the original vegetation cover to bare land and other classes of land use in Makurdi. The vegetation covered a reasonable size of land and it was 138.20km2 (16.86%).This is attributed to the few number of settlers in Maukurdi and low level of human activities taking place within the urban centre as at the time. The water body was 22.459 km2 (2.74%) with River Benue forming the major drainage system in the area and is the main source of water for human use. This is in line with the views of Nnule and Ujoh, (2017) who pointed out that Benue River is the main source of water in Makurdi. This doesn’t mean that other form of water sources like borehole, ponds and dams are not important.

Table 1 and figure 2 shows that the wetland had the largest area coverage of about 186.99km2 (22.78%) in 2009 as the entire land fall within the Benue Valley and Trough. The geology of the study area influence the wetland, this infect is also confirmed by Iorliam, (2014). The farmland occupies 184.608km2 (22.52%), as most residents are farmers. The number is significant as civil

                              Figure 2: Land Use and Land Cover of Makurdi in 2009.

servants also own farms. The built-up, which was 170.968km2 (20.86%) recorded a high increase due the increase in population. This corroborates the findings of Jiang, et al. (2013) which stated that the urban expansion on agricultural land is associated with both shrinking agricultural land area and a higher level of urban development. It also agrees with the findings of Araya and Cabral (2010) that substantial growth of urban areas has occurred worldwide in the last few decades with population increase being one of the most obvious agents responsible. The vegetation cover depreciated to 125.695km2 (15.33%). This may be attributed to deforestation as more forest was cleared to provide more space for increasing human development. This is buttressed by Mugish and Nyandwi (2015) that housing development on arable farm land in most cities has become an issue on the global agenda in recent times. Bare land, which was 122.52km2 (14.91%) decreased as the spaces were being covered with more structures but the water body 29.164km2 (3.56%) slightly increased. Of course, this is an indication that most of the human activities use water and other sources of water are being developed to meet the need of the increasing populace.

The level of human activities in the year 2019 was very high, although Makurdi has no functional Master Plan to check the developmental activities, however, as shown in the image Fig5.3 and Table5.1, The built-up area of 237.46km2 (28.97%) in 2019 almost tripled its size recorded in 1999.This supports the assertion by United Nations Department of Economy and Social Affairs (UNDESA, 2010) that urban cities have changed from small isolated population

                                 Figure 3: Land Use and Land Cover of Makurdi in 2019.

centres to large interconnected economic, physical, and environmental features. In recent time, issues of Herdsmen/Farmers crisis are among factors contributing to the migration of people from neighbouring villages to Makurdi Town for safety. These numbers of people who mostly settled along the urban hinterland, which is mostly used for agricultural purpose, have converted the land for building of houses and other socioeconomic infrastructures. The farm land occupies 174.735km2 (21.32%) as it decreases with population upsurge settles in the study area. Farmers move outside of Makurdi to get land for their activities which make the cost of cultivation expensive than expected. Agencies with the mandate of protecting natural ecosystem are weak in areas of law enforcement in Makurdi as infrastructural developments are indiscriminately carried out. This observation contradicts the views of Wade quoted in Nico et al. (2000) that Various NGOs, government and international Agencies have been supporting the urban agriculture (UA) since 1970s in major world regions. There was reduction in wetland to 148.696km2 (18.14%) and vegetation cover to 117.653km2 (14.35%) compared to the previous ten years while the water body 36.658km2(4.47%) increases during the same periods.

  • Conclusion

The research findings revealed that built-up area increased all through the period of study while arable land decreases due to infrastructural development. The rapid increase in built-up area is because the surrounding agricultural land is fast decreasing. Bare land, vegetation and wetland decreased throughout the period of study as human settlement increases over the years. Of course, it was observed that the effect of the development was concentrated more to the north eastern part of Makurdi as residential buildings with high rate of economic activities is observed in the region. Generally, this study has been able to show that conversion of open/agricultural land for infrastructural development was mostly due to increase in number of people through migration and natural means of population growth. The land use and land cover change detection for the period of 20 years revealed the extent and type of conversion. The study recommends Green areas within and around the city should be properly preserved as this allows for ventilation. All effort should be put in place to prevent unofficial development and measures should be in place to curb population growth which has encouraged urban sprawl on prime agricultural land as this is feasible around Makurdi hinterland.

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Kricon Group Launches a New Generation of ISOPA-Certified Tank Containers for Isocyanate Logistics

Daily writing prompt
If you could make your pet understand one thing, what would it be?

The transportation of isocyanates such as MDI (Methylene Diphenyl Diisocyanate) and TDI (Toluene Diisocyanate) remains one of the most demanding areas in chemical logistics. Strict safety requirements, temperature sensitivity, and regulatory oversight leave no room for compromise. In response to these challenges, Kricon Group has introduced a new generation of tank containers engineered specifically to meet the highest standards of safety, reliability, and operational efficiency.

According to an article on Logistics IT, Kricon Group has developed these ISOPA-certified tank containers to ensure safe and compliant transport of MDI and TDI across Europe and international markets, reinforcing its role as a trusted partner in chemical logistics.

Addressing the Complexities of Isocyanate Transport

MDI and TDI are critical raw materials for a wide range of industrial applications, including polyurethane foams, coatings, adhesives, and elastomers. However, their chemical properties make transportation particularly complex. These substances require precise temperature control, secure handling procedures, and equipment that fully complies with industry-specific standards such as those set by ISOPA (European Diisocyanate & Polyol Producers Association).

Any deviation from recommended transport conditions can pose risks to personnel, the environment, and supply chain continuity. As a result, logistics providers and chemical manufacturers increasingly seek purpose-built equipment rather than adapted or generic tank containers.

Designed in Full Compliance with ISOPA Guidelines

Kricon Group’s newly introduced tank containers are designed and manufactured in strict alignment with ISOPA recommendations. Compliance is not treated as a formality but as a core design principle that influences every aspect of the container’s construction.

The containers incorporate standardized connection points to ensure seamless compatibility with ISOPA-approved loading and unloading systems. Enhanced insulation supports stable temperature conditions throughout transit, while integrated safety features help reduce the risk of contamination, leakage, or operational error. These design choices support traceability and accountability at every stage of the logistics process.

By aligning container specifications with ISOPA standards from the outset, Kricon enables chemical producers and logistics partners to operate with greater confidence and regulatory assurance.

Engineering Solutions Tailored to MDI and TDI

Unlike general-purpose chemical containers, Kricon’s latest units are specifically engineered to meet the unique demands of isocyanate transport. Materials used in the construction are selected for their resistance to corrosion and chemical interaction, helping to preserve product integrity over long distances and repeated use cycles.

Temperature control options play a central role in the container design. Maintaining stable conditions is essential for preventing crystallization or degradation of MDI and TDI. The new containers can be equipped with advanced insulation systems and temperature management solutions that support consistent performance in varying climatic conditions.

In addition, intelligent monitoring technologies allow operators to track key parameters during transit. This data-driven approach improves visibility, enables early detection of potential issues, and supports continuous improvement in logistics planning.

Safety as a Strategic Priority

Safety is not limited to regulatory compliance; it is also a strategic differentiator in chemical logistics. Kricon Group’s investment in high-specification tank containers reflects a broader commitment to protecting people, cargo, and infrastructure.

Enhanced valve systems, reinforced structural components, and optimized design for handling operations reduce the likelihood of incidents during loading, transport, and unloading. These features are particularly valuable for logistics partners operating across multiple jurisdictions with varying regulatory expectations.

By prioritizing safety at the equipment level, Kricon helps its clients mitigate risk, reduce insurance exposure, and strengthen trust with downstream partners.

Supporting Efficiency and Sustainability

Beyond safety and compliance, the new generation of tank containers is designed to improve operational efficiency. Standardized specifications simplify fleet management, while durable construction supports long service life and reduced maintenance requirements.

Efficient thermal performance and optimized design also contribute to sustainability goals. By minimizing product loss, reducing the need for reprocessing, and supporting more predictable transport conditions, these containers help lower the environmental footprint associated with chemical logistics.

Sustainability considerations are increasingly important for chemical manufacturers facing pressure from regulators, investors, and customers alike. Equipment that supports both safety and environmental responsibility offers a clear competitive advantage.

Backed by a Global Logistics Network

Kricon Group’s tank container solutions are supported by its established global logistics network. This enables seamless deployment across key industrial regions and ensures that clients can access consistent equipment standards regardless of route or destination.

For manufacturers and distributors of isocyanates, this combination of specialized equipment and international logistics expertise simplifies coordination and reduces complexity in cross-border operations. It also supports scalability as demand grows or supply chains evolve.

Setting New Benchmarks in Chemical Transport

The introduction of ISOPA-certified tank containers for MDI and TDI transport underscores Kricon Group’s role in shaping best practices within the chemical logistics sector. Rather than responding reactively to regulatory change, the company is proactively investing in solutions that anticipate future requirements.

As chemical supply chains become more complex and expectations around safety, transparency, and sustainability continue to rise, purpose-built logistics equipment will play an increasingly central role. Kricon’s latest tank containers represent a step forward in aligning operational performance with industry standards and long-term strategic goals.

Conclusion

Transporting MDI and TDI safely is a challenge that demands specialized expertise, advanced engineering, and strict adherence to industry guidelines. Kricon Group’s new ISOPA-certified tank containers address these demands through thoughtful design, robust safety features, and a clear focus on compliance and efficiency.

For companies involved in the production, distribution, or logistics of isocyanates, these containers offer a reliable solution that supports both operational excellence and regulatory confidence. As chemical logistics continues to evolve, innovations of this kind will be essential in setting new standards for the industry.

AI Adoption Trends in the U.S. Auto Transport Market: A Platform Perspective

Daily writing prompt
What’s your dream job?

DOI: https://doi.org/10.26643/rb.v118i10.9150

Abstract

AI adoption in U.S. transportation and logistics is shifting from experimentation to operational deployment, driven by cost pressure, capacity variability, customer expectations for transparency, and the growing availability of real-time operational data. In the auto transport segment (vehicle relocation, dealer moves, consumer shipping), platform-based models are accelerating adoption by standardizing data inputs (routes, vehicle types, availability), automating quoting and matching, and adding “control-tower” visibility across fragmented carrier networks. This article synthesizes recent research and industry reporting on AI in logistics and applies it to the U.S. auto transport market, highlighting practical use cases, common barriers (data quality, trust, integration), and what “responsible AI” looks like in platform settings.


1) Why AI is gaining traction in auto transport in 2026

The U.S. auto transport market sits at the intersection of trucking’s structural inefficiencies and consumer-grade expectations for instant information. Two dynamics matter:

Operational complexity and emissions pressure. Freight logistics is often cited as contributing roughly 7–8% of global greenhouse-gas emissions, and organizations like the World Economic Forum argue AI can reduce freight-logistics emissions through better planning and efficiency (e.g., route optimization, capacity utilization).
While auto transport is a niche within freight, it inherits the same efficiency levers—empty miles, routing, and exception management.

A maturing AI adoption baseline. Broad cross-industry surveys suggest AI adoption has risen sharply (e.g., McKinsey’s reporting of adoption levels around the low-70% range in early 2024 across surveyed organizations).
In transportation specifically, fleet/transport leadership surveys and trade reporting indicate growing AI usage—often concentrated in planning, route optimization, and operational efficiency—while simultaneously noting concern that the sector still lags other industries.

The implication: auto transport is adopting AI at a time when foundational digitization (tracking, electronic logs, more structured operational data) is already widespread.


2) The “platform perspective”: why platforms accelerate adoption

Auto transport has historically been broker-heavy and relationship-driven. Platforms change this by making the market more computable:

  • Standardized inputs: origin/destination lanes, vehicle operability, trailer type (open/enclosed), pickup windows.
  • Normalized supply signals: carrier availability, route density, historical lane performance, constraints.
  • Structured workflows: digital inspections, status updates, exception handling.

This matters because modern AI (including machine learning and optimization) performs best when the system has consistent, high-quality inputs and feedback loops.

Example: Haulin.ai as an applied platform pattern

Haulin.ai publicly describes itself as an auto shipping platform that generates instant, transparent quotes using AI that analyzes real-time carrier availability and route optimization.
From a platform-research lens, the useful (non-marketing) takeaways are:

  1. Transparent pricing logic: platforms can reduce information asymmetry by presenting route-specific quotes up front rather than vague ranges.
  2. Faster matching: algorithmic matching can shorten the “time-to-book” cycle, which is critical in markets where capacity changes daily.
  3. Always-on support workflows: some platforms pair automation with continuous support coverage to reduce disruptions during pickup/delivery coordination.

These are not unique to one company; they represent common platform affordances that make AI adoption more viable in vehicle transport.


3) What AI is actually being used for in U.S. auto transport

AI adoption in auto transport clusters into six practical use cases:

A) Dynamic pricing and quote accuracy

Pricing in auto transport is sensitive to lane demand, seasonality, fuel, and carrier positioning. Platforms increasingly use models that incorporate real-time signals to reduce “quote drift” (quoted price vs booked price). Haulin.ai’s public explanation frames this as pricing informed by carrier availability, lane demand, and fuel trends to produce final quotes.

Research angle: algorithmic pricing reduces manual brokerage overhead, but also introduces governance needs (auditability, fairness, and guardrails).

B) Carrier matching and capacity utilization

A persistent freight problem is empty or underutilized miles (“deadhead”). Estimates vary widely; industry discussions commonly cite ranges (e.g., 15–35%) depending on fleet type and measurement method.
In auto transport, deadhead shows up when a carrier must reposition to reach a pickup or return from a drop-off without a vehicle load. Matching algorithms attempt to reduce this by improving backhaul fit and route chaining.

C) Route optimization and ETA prediction

AI-enabled route planning integrates traffic, weather, and constraints (pickup windows, driver hours). In broader logistics, route optimization is routinely named among the top AI benefits by fleet executives.
Even more important in consumer auto shipping is predictable ETAs and proactive alerts—an expectation increasingly treated as “standard” in many transport experiences.

D) Exception detection and “control tower” workflows

Delays (weather, mechanical issues, facility access problems) often dominate customer dissatisfaction. Modern logistics visibility emphasizes continuous monitoring and exception handling—detecting risk early and triggering human-in-the-loop actions.
Platform architectures are naturally suited to implement exception management because they sit between shipper demand and carrier execution.

E) Compliance and operational telemetry

Trucking compliance digitization also underpins AI adoption. For example, FMCSA’s ELD requirements have driven standardization in logging data for many carriers, increasing the availability of structured operational signals (even if not directly used for consumer-facing tracking).

F) Customer communication (GenAI)

GenAI is being deployed in customer support across logistics to reduce response time and handle routine inquiries. Industry reporting points to “agentic” or AI-assisted support in freight settings as a growing trend.
In auto transport, this typically translates into faster answers to: pickup scheduling, driver contact windows, ETA updates, and documentation questions.


4) What’s slowing adoption: four recurring barriers

Despite momentum, research and trade reporting consistently cite constraints:

1) Data quality and fragmentation

Logistics is multi-actor: shippers, brokers, carriers, terminals, and consumers. Reuters notes that AI’s real-world impact depends heavily on integration and high-quality data, and that siloed systems can block progress.

2) Trust, transparency, and perceived “black box” decisions

Algorithmic pricing and matching can be perceived as opaque. This is why transparent quote explanations (inputs, constraints, what changes the price) are becoming a functional requirement, not a marketing feature.

3) Talent and readiness gap

Even when organizations explore many AI use cases, fewer have the internal capability to scale them (skills, roadmaps, prioritized deployment). McKinsey’s distribution-focused analysis highlights this “explore vs scale” gap in adjacent sectors.

4) Security and governance concerns

U.S. transport/shipping professionals have reported hesitation tied to security and technical expertise constraints.
In auto transport, personally identifiable information, addresses, and vehicle details elevate the importance of data governance.


5) A practical “platform maturity model” for AI in auto transport

From a platform standpoint, AI adoption tends to progress in phases:

  1. Digitize the workflow (quotes, orders, dispatch, status updates)
  2. Instrument the operation (tracking, structured events, inspection data)
  3. Optimize (pricing models, route planning, carrier matching)
  4. Automate with guardrails (exception prediction, AI-assisted support, proactive rebooking)
  5. Measure outcomes (on-time delivery, claim rates, quote-to-book conversion, cost variance)

The maturity model matters because many failures come from skipping steps 1–2 and expecting AI to compensate for missing or inconsistent data.


6) What “useful USPs” look like without marketing language

When evaluating a platform like Haulin.ai (or comparable systems) in research terms, the most defensible differentiators are operational:

  • Transparent, route-specific quoting that reduces price uncertainty for consumers.
  • Real-time carrier availability signals are used to improve booking realism (less “bait-and-switch” behavior in theory, if governed properly).
  • Workflow continuity: integrated scheduling + status updates + support reduces coordination friction, especially during exceptions.

These are best assessed with measurable KPIs (price variance, pickup punctuality, damage claims, and dispute rate), not adjectives.


7) Research implications and what to watch next

Three trends are likely to shape AI adoption in U.S. auto transport through 2026–2028:

  1. Agentic operations: AI that doesn’t only “recommend” but can execute bounded actions (e.g., propose reroutes, suggest carrier swaps) with human approvals.
  2. Stronger visibility expectations: consumers increasingly expect proactive updates and narrower delivery windows.
  3. Decarbonization pressure: improving utilization and reducing empty miles becomes both an economic and sustainability lever—one of the clearest value cases for AI in freight-adjacent markets.

Conclusion

AI adoption in the U.S. auto transport market is best understood through a platform lens: platforms standardize inputs, unify fragmented actors, and create the data foundation that makes optimization and automation feasible. The most impactful near-term applications are dynamic pricing, carrier matching, route/ETA prediction, exception management, and AI-assisted communication—each dependent on data quality and governance. Haulin.ai provides a current example of how platform capabilities (transparent pricing, real-time availability analysis, and workflow support) can operationalize AI in consumer vehicle shipping without requiring the end-user to understand the underlying complexity.

Comparative Evaluation of Facility Layout Design Methodologies: Implications for Organizational Performance

Daily writing prompt
What makes a good leader?

How to Cite it

Johnbull, E. U., Osuchukwu, N. C., & Omoniyi, A. E. (2026). Comparative Evaluation of Facility Layout Design Methodologies: Implications for Organizational Performance. International Journal of Research, 13(1), 213–218. https://doi.org/10.26643/ijr/2026/2

Egbukichi, Ugonna Johnbull1

Department of Industrial Safety and Bio-Environmental Engineering Technology. Federal College of land Resources Technology Owerri, Imo State

Omuma.jupoceada@gmail.com

Nkechi Cynthia Osuchukwu (Ph.D)2

Department of Political Science,

Chukwuemeka Odumegwu Ojukwu University, Igbariam,

Anambra State, Nigeria

cn.osuchukwu@coou.edu.ng

Awe Emmanuel Omoniyi3

Department of Economics

Nile university of Nigeria

Email – emmanuel.awe@nileuniversity.edu.ng

Abstract

This study examines eight facility layouts and designs methodologies, including Systematic Layout Planning, Activity Relationship Chart, Space Relationship Diagram, Graph Theory, Simulation Modeling, Lean Layout Design, Sustainable Design and computer aided design. The results highlight the complexities of facility layout design and the importance of selecting the most suitable methodology based on organizational goals and objectives. The study concludes that effective facility layout design can significantly enhance organizational efficiency, minimize waste, and promote sustainability.

Keywords: Facility layout design, Methodologies, Systematic Layout Planning, Activity Relationship Chart, Graph Theory, Simulation Modeling, Lean Layout Design, Sustainable Design, computer aided design.

1.0       Introduction

Facility layout and design refer to the strategic arrangement of physical resources, such as machinery, equipment, and workstations, within a production or service facility (Heragu, 2016). The primary goal is to create an efficient, safe, and productive work environment that supports the organization’s overall objectives (Tompkins et al., 2010). In highly competitive environments, effective facility layout plays a critical role in enhancing customer experience, improving workflow efficiency, and supporting employee responsiveness, all of which contribute to customer satisfaction and sustained patronage

1.1       Aims

The aims of facility layout and design include:

1. Improved Efficiency: Minimize distances, reduce transportation costs, and streamline workflows.

2. Increased Productivity: Optimize workspace utilization, reduce congestion, and enhance employee comfort.

3. Enhanced Safety: Identify and mitigate potential hazards, ensure compliance with safety regulations, and provide a healthy work environment.

4. Better Customer Experience: Design facilities that are welcoming, easy to navigate, and provide excellent service.

5. Cost Reduction: Minimize waste, reduce energy consumption, and optimize resource utilization.

1.2       Objectives

The objectives of facility layout and design include:

1. Maximize Space Utilization: Optimize the use of available space to accommodate equipment, workstations, and personnel.

2. Minimize Material Handling: Reduce the distance and effort required to move materials, products, and equipment.

3. Improve Workflow: Streamline processes, reduce congestion, and enhance communication among departments.

4. Enhance Flexibility: Design facilities that can adapt to changing production requirements, new technologies, and evolving customer needs.

5. Ensure Compliance: Meet regulatory requirements, industry standards, and organizational policies.

2.0       Literature review

Facility layout and design is a critical aspect of industrial production systems, as it directly impacts productivity, efficiency, and safety (Heragu, 2008). Effective facility layout planning involves arranging elements that shape industrial production, including the arrangement of machines, workstations, and storage facilities (Tomkins et al., 2010).

2.1       Key Components of Facility Layout Planning:

– Design Layout: The physical arrangement of facilities, including the location of machines, workstations, and storage facilities (Meller & Gau, 1996).

– Accommodation of People: Ensuring that the facility layout accommodates the needs of employees, including safety, comfort, and accessibility (Das & Heragu, 2006).

– Processes and Activities: Designing the facility layout to support efficient workflows and processes (Benjaafar et al., 2002).

Facility Layout Design Considerations:

– Plant location and design (Kumar et al., 2017)

– Structural design (Smith & Riera, 2015)

– Layout design (Drira et al., 2007)

– Handling systems design (Heragu, 2008)

– Risk assessment and mitigation (Taticchi et al., 2015)

2.2       Space Utilization: The layout should maximize the use of available space while minimizing waste (Drira et al., 2007).

2.3       Material Flow: The layout should facilitate efficient material flow, reducing transportation costs and improving productivity (Heragu, 2008).

2.4       Employee Safety: The layout should ensure employee safety, providing adequate space for movement and reducing the risk of accidents (Das & Heragu, 2006).

Effective facility layout planning can improve productivity, reduce costs, and enhance safety (Heragu, 2008). A well-designed facility layout can also improve communication, reduce errors, and increase employee satisfaction (Das & Heragu, 2006).

3.0       Methodologies and Tools

3.1       Systematic Layout Planning (SLP)

SLP is a structured approach to facility layout design, focusing on the relationship between departments and the flow of materials (Muther, 1973). This methodology involves analyzing the organization’s goals, products, and processes to create an optimal layout.

3.2       Activity Relationship Chart (ARC)

ARC is a graphical method used to analyze the relationships between different activities or departments within a facility (Muther, 1973). This chart helps designers identify the most important relationships and create a layout that supports efficient workflows.

3.3       Space Relationship Diagram (SRD)

SRD is a visual tool used to represent the relationships between different spaces or areas within a facility (Liggett, 2000). This diagram helps designers understand how different spaces interact and create a layout that supports the organization’s goals.

3.4       Graph Theory

Graph theory is a mathematical approach used to optimize facility layouts by representing the relationships between different nodes or departments (Tompkins et al., 2010). This methodology helps designers create layouts that minimize distances and maximize efficiency.

3.5       Simulation modeling: Employ simulation software like Simio, Arena, or Witness to analyze and optimize facility layouts (Egbunike, 2017).

3.6       Lean principles: Apply lean methodologies to eliminate waste, reduce variability, and improve flow (Badiru, 2009).

3.7       Sustainable Design: Sustainable design is an approach that focuses on creating facility layouts that minimize environmental impact and support sustainability (USGBC, 2013). This methodology involves analyzing the organization’s sustainability goals and creating a layout that supports energy efficiency, water conservation, and waste reduction.

3.8       Computer-Aided Design (CAD): A software tool used to create and modify facility layouts, improving accuracy and reducing design time (Tomkins et al., 2010).

4.0       Results

The study examined eight facility layouts and designs methodologies, including Systematic Layout Planning (SLP), Activity Relationship Chart (ARC), Space Relationship Diagram (SRD), Graph Theory, Simulation Modeling, Lean Layout Design, Sustainable Design and Computer Aided Design (CAD).

Each methodology has its unique approach and benefits, ranging from optimizing material flow and minimizing distances to eliminating waste and supporting sustainability.

4.1       Discussion

The results show that facility layout design is a complex task that requires careful consideration of various factors, including organizational goals, product and process requirements, and sustainability objectives. The choice of methodology depends on the specific needs and goals of the organization. For instance, SLP and ARC are suitable for analyzing relationships between departments and activities, while Graph Theory and Simulation Modeling are more effective for optimizing material flow and minimizing distances. Lean Layout Design and Sustainable Design are essential for organizations that prioritize waste elimination and environmental sustainability.

5.0       Conclusion

In conclusion, facility layout design is a critical aspect of organizational efficiency and effectiveness. The Eight methodologies examined in this study offer valuable approaches for designing and optimizing facility layouts. By selecting the most suitable methodology based on their specific needs and goals, organizations can create facility layouts that support efficient workflows, minimize waste, and promote sustainability. Future research should focus on exploring the application of these methodologies in different industries and contexts, as well as developing new methodologies that address emerging trends and challenges in facility layout design.

References

Apple, J. M. (1991). Material handling systems: Design, operation, and maintenance. McGraw-Hill.

Badiru, A. B. (2009). Handbook of industrial engineering equations, formulas, and calculations. CRC Press.

Banks, J., Carson, J. S., & Nelson, B. L. (2010). Discrete-event system simulation. Prentice Hall.

Benjaafar, S., Sheikhzadeh, M., & Gupta, D. (2002). Machine layout in manufacturing facilities. International Journal of Production Research, 40(7), 1449-1465.

Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57-71.

Das, S. K., & Heragu, S. S. (2006). A layered approach to facility layout design. International Journal of Production Research, 44(1), 147-166.

Drira, A., Pierreval, H., & Hajri-Gabouj, S. (2007). Facility layout design using ant colony optimization. International Journal of Production Research, 45(11), 2473-2493.

Egbunike, P. N. (2017). Facility layout design using simulation modeling. Journal of Engineering and Technology, 6(1), 1-10.

Hammer, M., & Champy, J. (1993). Reengineering the corporation: A manifesto for business revolution. HarperCollins.

Heragu, S. S. (2008). Facilities design. CRC Press.

Heragu, S. S. (2016). Facilities design. CRC Press.

International Organization for Standardization. (2015). ISO 9001:2015 Quality management systems — Requirements.

Jensen, J. B. (2017). Lean production and waste reduction. Journal of Cleaner Production, 142, 247-255.

Kotter, J. P. (2012). Leading change. Harvard Business Review Press.

Kulatilaka, N. (2017). Operations management: A focus on productivity. Journal of Operations Management, 49, 67-75.

Liggett, R. (2000). Space planning and layout. Journal of Facilities Management, 1(2), 131-144.

Meller, R. D., & Gau, K. Y. (1996). The facility layout problem: Recent and emerging trends and perspectives. Journal of Manufacturing Systems, 15(5), 351-366.

Muther, R. (1973). Systematic layout planning. Cahners Books.

Occupational Safety and Health Administration. (2020). Occupational Safety and Health Administration. Retrieved from https://www.osha.gov/

Oyedele, L. O. (2013). Computer-aided design of facility layouts. Journal of Engineering and Technology, 2(1), 1-8.

Smith, J. S., & Riera, B. (2015). Structural design of facilities. Journal of Building Engineering, 3, 144-153.

Sule, D. R. (2001). Manufacturing facilities: Location, planning, and design. PWS Publishing Company.

Taticchi, P., Tonelli, F., & Cagnazzo, L. (2015). Performance measurement and management: A literature review and a research agenda. International Journal of Production Research, 53(10), 3227-3245.

Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010). Facilities planning. John Wiley & Sons.

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U.S. Green Building Council. (2013). LEED v4 for building design and construction.

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Coal Gangue as a Sustainable Construction Material: A Global Review of Mechanical Properties, Microstructural Behavior, and Performance Challenges

Daily writing prompt
If you could un-invent something, what would it be?

How to Cite

Stephen, A. O., Liu, C., & Xin, G. (2026). Coal Gangue as a Sustainable Construction Material: A Global Review of Mechanical Properties, Microstructural Behavior, and Performance Challenges. International Journal of Research, 13(1), 188–212. https://doi.org/10.26643/ijr/2026/1

Aremu Oluwatobi Stephen1, Chao Liu2, Guo Xin3

1School of Civil Engineering, Xi’an University of Architecture and Technology, Xian, 710055, China. aremutoby@yahoo.com ,(https://orcid.org/0009-0005-6295-4138)

2School of Civil Engineering, Xi’an University of Architecture and Technology, Xian, 710055, China. Corresponding author:  chaoliu@xauat.edu.cn, (https://orcid.org/0000-0002-2521-924X )

3School of Civil Engineering, Xi’an University of Architecture and Technology, Xian, 710055, China. xinguo927@163.com ,0009-0000-7841-368X, (https://orcid.org/0000-0002-7149-5413)

Abstract

   Coal gangue (CG), a substantial by-product of coal mining, has recently emerged as a promising sustainable material for concrete production. This review synthesizes 44 experimental and life-cycle studies published between 2012 and 2024 to elucidate the mechanical, microstructural, durability, and environmental performance of coal gangue concrete (CGC). At aggregate replacement levels below 30%, compressive strengths of approximately 40 MPa are generally maintained, whereas higher substitution ratios tend to diminish performance due to increased porosity and weaker interfacial transition zones (ITZs). When employed as a supplementary cementitious material (SCM), calcined gangue enhances long-term strength and ITZ bonding through pozzolanic activity. Durability outcomes are varied: resistance to freeze–thaw cycles, sulfate, and chloride attack remains acceptable at moderate replacement levels but declines under carbonation exposure. Life-cycle assessments (LCAs) indicate potential CO₂ emission reductions of 20–35%, contingent on calcination energy demand and replacement ratios. However, widespread adoption is hindered by non-standardized testing protocols, limited field validation outside China, and insufficient integration of microstructural and durability data. To address these challenges, this review proposes a four-layer evaluation framework (mechanical, microstructural, durability, and environmental), benchmark mix classifications for CGC, and a roadmap promoting field-scale validation and AI-driven optimization. Codifying the use of coal gangue within design standards and green certification systems could transform it from a mining liability into a recognized sustainable construction resource.

Keywords: Coal Gangue; Supplementary Cementitious Materials; Microstructure; Durability; Life-Cycle Assessment; Sustainable concrete.

Highlights

– Global review of 44 studies (2012–2024) on coal gangue concrete.

– ≤30% gangue substitution maintains ~40 MPa compressive strength.

– Calcined gangue improves ITZ bonding and later-age strength.

– Mixed durability; carbonation remains the main weakness.

– A four-layer framework and roadmap are proposed for codification.

1. Introduction

  Concrete remains the most widely consumed construction material globally, yet its production is responsible for nearly 8% of global carbon dioxide emissions. The increasing concern regarding climate change and resource depletion has consequently intensified research into alternative binders and aggregates derived from industrial by-products. Among these materials, coal gangue (CG), the solid residue produced during coal mining and beneficiation, presents significant potential for sustainable utilization. Annually, more than 600 million tonnes of gangue are generated worldwide [16,18], and improper disposal results in land degradation, spontaneous combustion, and water pollution. Due to its high silica and alumina content, gangue exhibits latent pozzolanic activity that can be activated through thermal or chemical treatment, enabling its application as coarse or fine aggregate, supplementary cementitious material (SCM), or filler in concrete systems [18,26,31].

  Over the past decade, numerous studies in China, India, Australia, and, more recently, Africa have demonstrated that properly processed coal-gangue concrete (CGC) can achieve satisfactory strength and durability while reducing environmental impact [11,17,19]. Despite these advancements, industrial adoption remains limited by several factors: (i) variability in mineral composition and porosity, (ii) inconsistent mix-design and testing protocols, and (iii) a shortage of field-scale validation. Existing reviews have primarily focused on single aspects such as pozzolanic reactivity or regional studies, leaving a gap in holistic understanding that integrates mechanical, microstructural, durability, and environmental dimensions [1], [2] .

  This review addresses that gap by synthesizing 44 publications from 2012 to 2024. It provides trend-based quantitative consolidation of mechanical data, integrates microstructural and durability evidence, and evaluates life-cycle environmental implications. Beyond synthesis, the paper introduces a four-layer evaluation framework covering mechanical, microstructural, durability, and environmental metrics, establishes benchmark CGC mix classes, and proposes a research roadmap toward international codification. The study ultimately positions coal gangue as a viable secondary resource that can support circular-economy objectives and green-construction standards.

2. Review Methodology

2.1 Literature-search strategy

  A systematic narrative approach was adopted instead of a formal meta-analysis due to the heterogeneity of the available data. The search strategy integrated electronic databases, including Scopus, Web of Science, Google Scholar, and CNKI, to retrieve publications from 2012 to 2024 using the keywords “coal gangue,” “concrete,” “aggregate,” “supplementary cementitious material,” and “durability.” The initial query yielded 1,024 records, with an additional 76 articles identified through cross-referencing and grey literature.

  Following the removal of duplicates, 950 unique records were screened by title and abstract. Of these, 750 were excluded as they were unrelated to coal-gangue-based concrete or lacked mechanical or microstructural results. Two hundred full texts were reviewed in detail, and 44 met all inclusion criteria. The selection process adhered to a PRISMA-style protocol (Figure 1), adapted from the PRISMA guidelines, to ensure transparency and reproducibility. Searches were conducted in Scopus, Web of Science, CNKI, and Google Scholar for publications from 1 January 2012 to 31 December 2024 (final search 10 January 2025). An example Scopus query is: TITLE-ABS-KEY((“coal gangue” OR “coal-gangue” OR “gangue”) AND (concrete OR mortar OR “supplementary cementitious material”)). Results were deduplicated using EndNote X9, followed by manual screening of titles and abstracts. Full-text screening was conducted using the inclusion criteria listed in Section 2.2. Data extraction fields (author, year, country, gangue form, replacement ratio, curing condition, 28-day compressive strength, durability metrics, microstructural methods) are provided in Supplementary Table S1. Detailed search strings, screening steps, and exclusion reasons are provided in Supplementary Table S2.

2.2 Inclusion and exclusion criteria

  Studies were included based on the following criteria: 1. They examined the utilization of coal gangue as an aggregate, supplementary cementitious material (SCM), or filler in concrete or mortar; 2. They provided quantitative data concerning mechanical, durability, or microstructural performance; 3. They were composed in English and published in peer-reviewed journals or reputable conference proceedings. Exclusion criteria encompassed: (i) Studies concentrating exclusively on gangue geopolymers without cement systems; (2) Studies lacking adequate experimental detail (e.g., absence of mix ratios or test methods); (3) Duplicated sources or those not subjected to peer review.

2.3 Data extraction and synthesis

  From each study, key variables were extracted: gangue form (raw, calcined, ash, ceramsite), replacement level, curing condition, mechanical results, microstructural characterisation, and durability indicators. Reported 28-day compressive-strength ranges were converted to mid-points to allow pooled comparison. Because variance data were rarely provided, numerical results were synthesised as trend-based averages rather than statistical effect sizes. This descriptive integration captures consistent performance tendencies while acknowledging methodological diversity.

2.4 Quantitative Data Synthesis and Transparency

  Reported mechanical-strength values were harmonised to 28-day compressive strength for comparability. When a study presented a range of strengths (e.g., 35–45 MPa), the midpoint (40 MPa) was recorded. For single-value reports, the stated result was used directly. Variance data (standard deviations, confidence intervals) were seldom provided across the reviewed literature; therefore, meta-analysis was not statistically feasible. Instead, descriptive synthesis and trend-based averaging were applied. Outliers—defined as values > 2× the interquartile range —  were inspected manually and retained when consistent with the reported mixture design or test conditions. Of the 44 included studies, 29 reported single values while 15 presented ranges; the latter were converted to midpoints for comparative synthesis. All extracted numeric values and corresponding metadata are provided in Supplementary Table S1, and calculations were performed in Microsoft Excel 2021 for traceability  {Citation}   . 

2.5 Quality assessment

  Methodological quality was graded as high, moderate, or low using four criteria:

(i) clarity of mix-design reporting;

(ii) specification of gangue-processing method (raw, calcined, ash, or ceramsite);

(iii) use of recognized test standards (ASTM, GB/T, EN); and

(iv) completeness of mechanical and durability datasets.

This process improved the reliability of cross-study interpretation and provided the foundation for the comparative analyses presented in later sections.

Figure 1. PRISMA-style literature-selection process for coal-gangue concrete review.

(Flow: 1,024 records → 950 screened → 200 full-text → 44 included.)

  All numerical data (S1–S4) were extracted from peer-reviewed studies with cross-verification of units and parameters. Outliers were checked and normalized by the equivalent binder replacement ratio.

3. Overview of Coal Gangue as a Construction Material

3.1 Origin and classification

  Coal gangue is a solid waste generated during coal mining and beneficiation processes. It typically constitutes 15–20% of the raw coal extracted, containing clay minerals, quartz, feldspar, pyrite, and residual carbonaceous matter. When disposed of untreated, it contributes to land subsidence, spontaneous combustion, and surface-water pollution. Gangue can be broadly divided into:

• Primary gangue, interbedded with coal seams during extraction; and

• Secondary gangue, produced during coal washing and processing [39].

Further classification may be based on mineralogy, thermal behaviour, and physical texture, as shown in Table 1.

Table 1. Classification of coal gangue by origin, mineralogy, and behaviour

Type / Criterion  Basis of classification  Typical characteristics  
Primary gangue  Inter-bedded with coal seams  Hard, dense shale-like material  
Secondary gangue  By-product of washing/processing  Slurry tailings or waste heaps  
Mineralogical  XRD/petrographic phases  Quartz, kaolinite, feldspar  
Thermal behaviour    Reactivity after calcination  Formation of amorphous aluminosilicates (600–900 °C) Physical texture   Colour, porosity, and shape     Grey–black, flaky, porous  
Physical texture  Colour, porosity, and shape  Grey–black, flaky, porous  

3.2 Global distribution and availability

  Global production of coal gangue exceeds 600 million tonnes per year, with China accounting for over 70% of this volume. Other major producers include India, South Africa, and Australia. Despite this abundance, utilisation rates remain below 30% in most regions. Figure 2 illustrates the approximate distribution of known gangue reserves and highlights data scarcity across Africa and South America.

Figure 2. Estimated global distribution of coal-gangue reserves and research activity density distributed as China → 65%, India → 15%, Europe → 10%, Africa → 5%, Others → 5%

3.3 Chemical and mineral composition

  Typical oxide composition derived from XRF/XRD analyses includes SiO₂ (45–65%), Al₂O₃ (15–35%), and minor oxides such as Fe₂O₃, CaO, MgO, and K₂O [14,28]. These constituents are comparable to those of Class F fly ash, suggesting potential pozzolanic reactivity. However, impurities such as unburnt carbon, sulfides, and expansive clays can adversely affect cement hydration and dimensional stability. Pre-treatment through calcination (600–800 °C) or chemical activation can therefore enhance performance.

3.4 Forms of application in concrete

  Coal gangue can serve in several roles within cementitious systems:

1. Coarse or fine aggregate, replacing natural stone or sand at 10–50%;

2. Supplementary cementitious material (SCM), after calcination and grinding;

3. Filler or lightweight aggregate, as in ceramsite production.

Appropriate processing, crushing, grading, calcination, and blending—enables acceptable workability and strength comparable to conventional concrete at low substitution levels [17,18].

4. Mechanical Properties of Coal-Gangue Concrete (CGC)

4.1 Compressive strength

  Compressive strength remains the most reported indicator of CGC performance. Across 44 reviewed studies, low-to-moderate aggregate replacement (≤30%) preserves 28-day compressive strength at approximately 38–44 MPa, while high substitution (>50%) leads to a significant reduction due to increased porosity and weak ITZ bonding [10,23]. When used as a calcined SCM (≈10–15%), coal gangue can slightly increase later-age strength by enhancing hydration reactions [28].

Table 2. Summary of 28-day compressive strength at varying gangue replacement levels(n=44).

Mix type  Gangue role/replacement (%)  Strength range (MPa)  Mean (MPa)Relative to control
Control concrete  040–45  42.5
Aggregate replacement  20  38–4441.0Comparable
Aggregate replacement  50  30–36  33.0  Decreased  
Calcined SCM  10  42–48  45.0  Improved  

Figure 3. Variation of mean 28-day compressive strength with coal-gangue replacement ratio.

(Shows consistent performance up to ~30% replacement; drops beyond 50%.)

4.2 Tensile and flexural strength

  Splitting-tensile and flexural strength values are more sensitive to microcracking at the ITZ. Reductions of 10–30% are common when untreated gangue aggregates are used. Improved bonding and reduced cracking can be achieved with superplasticisers, silica fume, or pre-soaked aggregates [12,21]. Enhanced ITZ densification correlates with increased flexural resilience.

4.3 Stress–strain characteristics

  Coal-gangue concrete generally exhibits a lower elastic modulus (10–25% lower than conventional concrete) and a broader post-peak deformation zone, indicating improved ductility and energy-absorption capacity [23,40]. Such behaviour is beneficial in composite systems such as concrete-filled steel tubes (CFSTs), where confinement offsets intrinsic brittleness.

5. Durability and Environmental Resistance

5.1 Overview

  Durability represents a crucial determinant of long-term viability for coal-gangue concrete (CGC). Performance depends on gangue treatment, pore refinement, and aggregate–paste interaction. Although compressive strength can remain satisfactory, environmental resistance varies considerably with replacement level and curing regime [10,29].

5.2 Freeze–thaw and wet–dry cycles

  Most studies indicate that CGC incorporating ≤30% treated gangue maintains adequate freeze–thaw resistance over 150–300 cycles, with relative dynamic modulus losses below 15% [38]. The internal porosity of gangue aggregates enables partial stress relief during freezing, whereas excessive substitution (>40%) increases microcrack propagation and scaling. Similar patterns appear in wet–dry tests, where calcined gangue mixes show improved dimensional stability relative to untreated material.

5.3 Sulfate and chloride attack

  Resistance to sulfate attack improves slightly with calcined gangue additions because of reduced calcium hydroxide content and the formation of secondary C-A-S-H phases. Strength retention after 180 days of Na₂SO₄ exposure commonly exceeds 80% for moderate substitution ratios. Conversely, chloride-ion diffusion coefficients increase marginally due to open-pore connectivity when coarse gangue aggregates dominate the mix [20]. Incorporation of supplementary SCMs such as fly ash or silica fume can offset this effect.

5.4 Carbonation and acid resistance

  Carbonation remains the weakest durability parameter of CGC. The higher porosity of untreated gangue promotes CO₂ ingress and CaCO₃ formation along the ITZ, leading to strength reductions of 10–25% after accelerated tests [13]. Partial substitution with calcined gangue or the use of surface sealants mitigates but does not eliminate this vulnerability. Acid exposure (H₂SO₄ or HCl) produces comparable deterioration trends, particularly in mixes containing pyritic gangue.

  Carbonation depth increased with higher gangue replacement ratios, confirming that carbonation is a key durability concern. Carbonation-related durability parameters are summarised in Supplementary Table S4.

5.5 Coupled deterioration mechanisms

  Few studies explore the combined effects of carbonation–chloride or freeze–thaw–sulfate cycles. Limited evidence suggests synergistic deterioration, where microcracking from thermal cycling accelerates ion penetration. Figure 5 illustrates the overall ranking of durability indices compiled from representative data.

Figure 5. Radar chart of relative durability indices of coal-gangue concretes (freeze–thaw, sulfate, chloride, carbonation, acid).

5.6 Environmental and leaching behaviour

  Toxic-element leaching tests (TCLP, GB/T 5086) reveal that heavy-metal concentrations mainly Fe, Mn, and trace Pb—remain well below regulatory thresholds when gangue is encapsulated within the cement matrix [26]. Life-cycle assessments indicate potential CO₂-emission reductions of 20–35% relative to conventional concrete, contingent on local calcination energy sources. However, sustainability benefits diminish if gangue requires long-distance transport or high-temperature activation. Supplementary Table S3 – Assumptions and boundary conditions extracted from five representative life-cycle assessment studies (2012–2024) underpinning the 20–35 % CO₂-reduction range discussed in Sections 5.6 and 7.1.

Table 3. Summary of the durability performance of coal-gangue concrete

Durability factor  Typical test duration  Optimum gangue substitution (%)Relative performance vs controlGoverning mechanism
Freeze–thaw          150–300 cycles  ≤30% (calcined)  Comparable  Pore-structure buffering  
Sulfate attack        180 days≤25%Slightly improvedReduced CH, C-A-S-H formation
Chloride penetration            90 days  ≤20% + fly ash  Moderate increase  Porous ITZ, open pores  
Carbonation          28 days CO₂  ≤15% (calcined)  Weaker  Porosity, CaCO₃ in ITZ  
Acid resistance      60 days  ≤10%  Decreased  Pyrite oxidation  
Leaching safety    —  AcceptableMetal immobilisation

5.7 Summary of durability trends

  Durability of CGC is thus application-specific. Properly treated gangue performs satisfactorily in environments governed by physical rather than chemical degradation. Nonetheless, carbonation and acid resistance remain research priorities before large-scale adoption.

6. Microstructural Behaviour

6.1 SEM and microcrack morphology

  Scanning electron microscopy (SEM) studies reveal that untreated gangue aggregates exhibit weak bonding and open microcracks at the ITZ, often filled with secondary ettringite or CaCO₃ crystals (Figure 6a). After calcination, the gangue surface becomes rougher and more reactive, forming a denser C-S-H gel matrix at the interface (Figure 6b) [21,31].

Figure 6. Representative SEM micrographs showing (a) untreated-gangue ITZ with porous structure and (b) calcined-gangue ITZ with dense hydration products.

6.2 XRD and hydration products

  X-ray diffraction (XRD) patterns confirm the transformation of kaolinite into amorphous metakaolin during calcination at 700–800 °C, thereby enhancing pozzolanic potential. The presence of new phases such as mullite, quartz, and gehlenite correlates with improved compressive strength and durability. Quantitative phase analysis indicates that amorphous content increases from approximately 25% (raw) to 55% (calcined), promoting secondary hydration reactions [28].

6.3 ITZ characterisation

  Back-scattered electron imaging and nano-indentation measurements reveal that the ITZ in calcined-gangue concretes has higher micro-hardness and lower porosity than that of control samples. The thickness of the ITZ reduces from roughly 40 µm to 25 µm, and Ca/Si ratios decline due to additional alumina supplied by the gangue. This microstructural densification directly explains improved mechanical stability at moderate replacement levels.

6.4 Porosity and pore-size distribution

  Mercury-intrusion porosimetry (MIP) and BET tests show that total porosity decreases slightly (2–5%) after calcined-gangue incorporation, accompanied by a shift toward finer pores (< 50 nm). Such refinement limits moisture ingress and enhances freeze–thaw resistance, corroborating macroscopic results. Untreated gangue, by contrast, produces a broader pore spectrum and higher connectivity, which explains its weaker durability.

6.5 Microstructure–performance correlation

  Integrated analysis of SEM, XRD, and MIP data confirms a direct correlation between microstructural densification and macroscopic strength retention. Figure 7 summarises this linkage, highlighting the role of calcination in refining the ITZ and reducing permeability pathways.

Figure 7. Schematic correlation between coal-gangue treatment, ITZ densification, and macro-mechanical performance.

6.6 Summary

  Microstructural evidence confirms that the primary mechanism of performance enhancement in coal-gangue concrete is the transformation of kaolinite into reactive aluminosilicate phases during calcination. These reactions strengthen the ITZ, reduce pore connectivity, and underpin the favourable strength and durability trends identified earlier.

7. Integrated Synthesis and Global Comparison

7.1 Global performance synthesis

  Consolidating the 44 reviewed studies reveals consistent trends linking mechanical, durability, and microstructural parameters.  When treated, gangue is used as a coarse or fine aggregate, mechanical properties remain stable up to approximately 30% substitution, with mean compressive strength values around 40 MPa.  Above this threshold, performance declines due to increased porosity and weakened ITZ cohesion.  When ground and calcined as a supplementary cementitious material, gangue improves both compressive and tensile strength by 5–10% at later ages [39,31].

  Durability follows a similar pattern:  moderate replacement retains acceptable freeze–thaw and sulfate resistance, while carbonation remains the dominant weakness.  Life-cycle analyses indicate potential CO₂-emission savings of 20–35%, strongly dependent on calcination energy and transportation logistics.  Together, these data position calcined gangue as a credible, lower-carbon SCM and untreated gangue as a partial aggregate for non-structural or secondary applications.

  The reviewed LCA studies reported CO₂ reductions ranging from 20% to 35%, depending on the energy source and transport distance. Details of life-cycle assessment assumptions are provided in Supplementary Table S3.

7.2 Regional distribution of research

  Research activity remains highly concentrated in East Asia, which accounts for roughly 65% of published studies.  Europe and Australia contribute 20%, while Africa and South America together represent less than 5%.  Figure 8 illustrates this distribution and identifies key performance themes by region.

Figure 8. Geographical distribution of coal-gangue-concrete research (2012–2024) and dominant performance topics by region.

  Regional disparities correspond closely to coal-production volumes and policy support for waste valorisation.  China’s governmental funding and abundant gangue stockpiles have driven large-scale pilot projects and field demonstrations.  In contrast, African investigations remain largely laboratory-scale due to limited calcination infrastructure and inconsistent supply chains [11].

7.3 Comparative trends with other waste materials

  Compared with other mineral by-products—fly ash, slag, and rice-husk ash—coal gangue displays lower intrinsic reactivity but higher abundance and lower cost.  Its performance improves significantly after calcination, narrowing the gap with traditional SCMs. Compared with other aluminosilicate SCMs such as fly ash and metakaolin [22,39], coal gangue exhibits lower amorphous content and slower pozzolanic reactivity; however, its high alumina–silica ratio after calcination enhances long-term C–A–S–H and N–A–S–H gel formation, contributing to improved durability in blended concretes. Recent advances in alternative SCMs (e.g., calcined clays and gangue hybrids) [40] further highlight the potential of gangue-based binders in carbon-neutral construction. Figure 9 and Table 4 summarise relative property indices derived from typical datasets.

Figure 9. Normalised performance indices of coal gangue and other common supplementary cementitious materials (fly ash, slag, silica fume, rice-husk ash).

Table 4. Comparative summary of SCM performance indices

Property category  Coal gangue (calcined)  Fly ash  Slag  Silica fume  Rice-husk ash    
Pozzolanic activity                 Moderate  Moderate–high  High  Very high  High  
Compressive strength (28 days)                 95–105% of control  100–110%  110–120%  115–130%  105–115%  
Carbonation resistance               Low–moderateModerateHighHighModerate
Cost and availability                 Very high availability  High  Moderate  Low  Moderate  
CO₂-reduction potential20–35%20–40%30–50%15–25%25–40%

Indices were normalized relative to the control mean (100) to enable comparative ranking of mix performance.

7.4 Field applications and pilot projects

  Field demonstrations of CGC are primarily located in China’s Shanxi, Henan, and Inner Mongolia provinces, where waste-to-resource initiatives have been implemented for road bases, lightweight blocks, and precast units.  Limited case studies from India and Poland show similar viability for pavement and masonry applications.  However, the absence of internationally harmonised test standards has constrained broader deployment.

7.5 Policy and Industrial Pathway

  From a policy standpoint, large-scale gangue valorisation aligns with global “Just Transition” frameworks [45,46], which promote low-carbon industrial symbiosis in coal-dependent regions. Integrating gangue-based materials into national circular-economy strategies can substantially reduce industrial waste generation and advance Sustainable Development Goal 12 (Responsible Consumption and Production). Establishing coordinated regulatory incentives and public–private partnerships will be crucial to accelerate large-scale adoption of gangue-derived construction materials.

7.6 Summary of integrated trends

Overall, the global dataset confirms that coal-gangue utilisation offers both engineering feasibility and environmental advantage, yet its application remains geographically and technically fragmented.  International coordination on standards and data reporting is essential to move from laboratory validation to commercial adoption.

8. Standardisation and Research Gaps

8.1 Lack of codified testing standards

  Existing studies employ diverse curing regimes, specimen dimensions, and testing ages, preventing direct comparison.  No internationally recognised standard presently governs the use of gangue as an aggregate or SCM.  National codes such as GB/T 25177–2020 (China) or IS 383 (India) mention industrial by-products only in a generic sense.  Harmonised specifications defining mineralogical thresholds, calcination ranges, and quality-control methods are therefore urgently required.

8.2 Inconsistent characterisation protocols

  Analytical techniques—XRD, SEM, TG-DSC—are often applied selectively, resulting in incomplete correlations between microstructure and mechanical properties.  Establishing standardised characterisation matrices that quantify amorphous content, particle morphology, and reactive-oxide ratios would allow robust inter-study comparisons and more accurate performance modelling.

8.3 Data gaps and regional imbalance

  More than two-thirds of the experimental data originate from China, creating a geographic bias that limits global generalisation.  Very few datasets address African, Middle-Eastern, or Latin-American gangs, despite significant reserves.  Regional pilot projects should therefore be prioritised to validate performance under diverse climatic and geological conditions.

8.4 Limited durability and long-term datasets

  While mechanical tests are well documented, long-term durability studies beyond one year are scarce.  Little information exists on cyclic loading, creep, or fatigue performance.  Extended durability trials and field-monitoring programmes would help bridge the gap between laboratory results and real-world service life   [2] .

8.5 Microstructure–durability integration

  Although individual studies analyse microstructure and durability separately, few attempt to quantify their correlation, integrating microstructural descriptors (porosity, ITZ thickness, Ca/Si ratio) with macroscopic durability indicators (chloride diffusion, carbonation depth) through regression or machine-learning models could yield predictive frameworks for performance assessment.

8.6 Research Gap Summary

Table 5 summarises the principal research and standardisation gaps identified across the literature.

Table 5. Key research and standardisation gaps in coal-gangue-concrete studies

Thematic area  Identified gap  Recommended action  
Standards               Absence of dedicated gangue-concrete code      Develop unified test and acceptance criteria.
Microstructure–durability link                 Weak quantitative correlation                 Establish predictive models and shared databases.  
Geographic coverage           Limited African and South American data      Initiate regional pilot projects.
Durability testing  Few long-term or coupled-mechanism studies               Conduct > 1-year exposure tests  
Data transparency                Inconsistent reporting formats                 Adopt open-data repositories  
Circular-economy integration                 Minimal policy alignment  Include gangue in national green-construction roadmaps.  

  Standardisation and data consistency are now the principal barriers preventing coal-gangue concrete from progressing toward codification.  Coordinated international frameworks linking academic, industrial, and policy actors are essential to ensure reliable performance benchmarks and foster global uptake.

9. Framework Proposal and Implementation Roadmap

9.1 Four-layer evaluation framework

  To bridge the gaps identified across mechanical, microstructural, durability, and environmental domains, this paper proposes a four-layer evaluation framework for coal-gangue concrete (CGC).

  The framework integrates quantitative and qualitative indicators across four interlinked tiers:

1. Layer I – Mechanical integrity: compressive, tensile, and flexural strengths; elastic modulus.

2. Layer II – Microstructural quality: ITZ thickness, porosity, and reactive-oxide ratios.

3. Layer III – Durability performance: resistance to freeze–thaw, chloride, sulfate, carbonation, and acid attack.

4. Layer IV – Environmental impact: embodied CO₂, energy consumption, and leaching safety.

Each layer contributes to an overall performance index that can be normalised to benchmark CGC classes.

This integrated approach allows performance prediction across varying gangue sources and processing methods, offering a pathway toward design standardisation.

9.2 Benchmark classification of CGC mixes

Based on the reviewed data, three benchmark classes are proposed (Table 6).

These benchmarks can serve as provisional design references for future standardisation.

Table 6. Proposed benchmark classes for coal-gangue concrete

CGC Class  Typical gangue typeReplacement ratioMean 28-day strength (MPa)Durability levelRecommended applications
Type I     Untreated aggregate              ≤ 25%   35–40   Moderate               Non-structural blocks, pavements
Type II   Calcined SCM       10–15%  42–48   Good     Structural concrete, precast elements
      Type III                   Hybrid (aggregate + SCM)   20 + 10%                 40–45     Good       Road base, CFST infill  

Example: A Type II mix (20 % calcined gangue + 10 % fly ash) scores 3.5 for mechanical performance, 3.0 for durability, 4.0 for microstructure, and 3.8 for LCA efficiency, yielding an overall composite score of 3.6 (≈ Type II category)

9.3 Implementation roadmap

The roadmap (Figure 10) outlines the sequential stages required for industrial and regulatory adoption:

1. Laboratory validation: Optimise mix designs for mechanical–durability synergy.

2. Field-scale trials: Establish pilot projects in coal-rich regions under varying climates.

3. Data integration: Create open-access databases for mechanical, microstructural, and environmental metrics.

4. Model development: Use machine-learning algorithms to predict performance from material descriptors.

5. Codification: Formulate ISO or national standards incorporating gangue-concrete classes.

6. Circular-economy integration: Embed CGC within carbon-credit and green-construction certification frameworks. Figure 10 summarises these sequential stages, providing a practical pathway for industrial and regulatory adoption.

Figure 10. Proposed roadmap for large-scale adoption and codification of coal-gangue concrete.

9.4 Alignment with global sustainability targets

  Adopting the proposed framework supports several United Nations Sustainable Development Goals (SDGs)—specifically SDG 9 (Industry, Innovation and Infrastructure), SDG 11 (Sustainable Cities and Communities), and SDG 12 (Responsible Consumption and Production).

By valorising mining waste and reducing clinker dependency, CGC contributes to material circularity and carbon neutrality objectives.

10. Future Research Directions

10.1 Integration of digital and AI-based modelling

  Emerging digital tools can accelerate the optimisation of gangue-based mixes.

Machine-learning and multivariate regression models can correlate gangue mineralogy, replacement ratio, and curing regime with mechanical and durability outputs.

  Developing predictive models using global open datasets would enable rapid mix design and reduce laboratory costs.

10.2 Multi-scale and coupled performance modelling

  Future work should connect nano-scale hydration phenomena with macro-scale durability performance through multiscale simulations.

  Coupled deterioration models—linking carbonation, chloride ingress, and freeze–thaw damage—would enable more accurate service-life prediction and durability design of CGC structures.

10.3 Field validation and life-cycle benchmarking

  Comprehensive field trials are needed to verify laboratory outcomes under variable climatic and loading conditions.

Such data would enable credible life-cycle assessments (LCA) and cost–benefit analyses, ensuring that environmental claims are grounded in real performance metrics.

10.4 International collaboration and data-sharing

  Collaboration between academic institutions, mining companies, and standards organisations is vital to accelerate adoption.

A global CGC data repository similar to existing cementitious databases should be established to host chemical, mechanical, and environmental datasets for open access and model training.

10.5 Geographic Bias and Applicability

  Although this review incorporated studies from multiple regions, more than 80% of the included literature originated from China. This geographic concentration reflects China’s long history of coal production, extensive gangue stockpiles, and well-established national research funding for gangue utilization. However, it also introduces bias in the reported mechanical performance and environmental outcomes, since Chinese gangue is typically kaolinite-rich and supported by regional calcination infrastructure. Therefore, the results and optimization parameters derived from this dataset may not directly transfer to regions where the gangue mineralogy, energy mix, or climatic exposure conditions differ substantially. Future research should prioritize comparative investigations in underrepresented areas such as Africa, South America, and parts of Europe, where mineralogical and environmental contexts can alter hydration kinetics, durability performance, and life-cycle outcomes.

10.6 Durability Limitations and Future Research Needs

  The compiled evidence highlights carbonation as the primary durability limitation of coal gangue–based binders and concretes. Most studies reported higher carbonation depths and moderate strength losses relative to conventional cement systems, particularly at replacement ratios exceeding 25%. The limited availability of long-term exposure data—most tests were ≤180 days—further restricts confidence in the projected service life of gangue-blended concretes. Addressing this knowledge gap will require multi-year field trials under varied humidity and CO₂ environments, coupled with microstructural characterization to track pore evolution. In addition, integrating gangue with supplementary materials such as slag, fly ash, or nano-silica may mitigate early carbonation susceptibility by refining pore networks and enhancing C–S–H formation. Establishing standardized testing benchmarks for gangue concretes will also be critical to their safe implementation in structural applications.

  Overall, these insights emphasize both the current promise and the remaining uncertainties surrounding coal gangue utilization, forming a foundation for the concluding recommendations below. Key LCA assumptions and carbonation-durability data are summarised in Supplementary Tables S3–S4.

11. Conclusion and Practical Implications

  This review provides a comprehensive synthesis of 44 studies on coal-gangue concrete (CGC) spanning 2012–2024, integrating insights from mechanical, microstructural, durability, and environmental perspectives.

Key conclusions are summarised as follows:

1. Mechanical performance: Aggregate replacement up to 30 % maintains structural-grade strength (~40 MPa).  Calcined gangue used as an SCM (10–15 %) enhances later-age strength through pozzolanic reactivity.

2. Durability: Freeze–thaw and sulfate resistance are acceptable at moderate substitution levels, but carbonation remains the primary weakness.

3. Microstructure: Calcination transforms kaolinite to reactive aluminosilicates, refining the ITZ and reducing porosity.

4. Environmental benefit: CO₂-emission reductions of 20–35 % are achievable, contingent on energy source and logistics.

5. Research gaps: Absence of standardised testing, limited long-term durability data, and minimal global dataset integration hinder codification.

6. Framework and roadmap: The proposed four-layer evaluation system and benchmark CGC classes provide the foundation for international standardisation.

Coal gangue has the potential to transition from an environmental burden into a viable, sustainable construction material, supporting circular-economy policies and decarbonisation in the concrete industry.

Acknowledgments

The authors would like to acknowledge the National Natural Science Foundation of

China(52178251), the Technology Innovation Guidance Program of Shaanxi Province

(2023GXLH-049), The Qinchuangyuan’s Scientist and Engineer Team Building of

Shaanxi Province (2023KX1-242), the Special Research Program for Local Service of

Shaanxi Province (23JC047), the Youth Innovation Team of Shaanxi

Universities(2023-2026)for financial support.Data availability

Data will be made available on request.

Conflict of Interest declaration

The authors declare that they have no affiliations with or involvement in any organization or entity with any financial interest in the subject matter or materials discussed in this manuscript.

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Hummingbird Executive Launches a Secure Digital Hub for High-Net-Worth Individuals and Family Offices

As digital transformation accelerates across financial services and luxury markets, privacy and trust have become central concerns for high-net-worth individuals (HNWIs), ultra-high-net-worth clients (UHNWIs), and family offices. In response to these challenges, France-registered Hummingbird Executive has announced the launch of a secure digital platform designed to consolidate exclusive investment access with white-glove travel and lifestyle services in a controlled, privacy-first environment.

According to an article on Reuters, the newly launched Hummingbird Executive platform is accessible only to vetted partners and has been created to restore confidence, discretion, and efficiency in the management of sensitive transactions and client services.

Addressing Privacy Gaps in High-Value Transactions

High-net-worth individuals and family offices frequently operate across borders, asset classes, and service providers. Despite the sophistication of their operations, many sensitive transactions and reservations are still coordinated through fragmented communication channels, increasing exposure to data leaks, inefficiencies, and reputational risk.

Hummingbird Executive positions its platform as a response to these structural weaknesses. The digital hub provides a unified and secure environment in which approved partners can manage investment opportunities, documentation, and bespoke services without compromising client confidentiality. Rather than functioning as an open marketplace, the platform is intentionally restricted to participants who meet strict privacy, compliance, and governance standards.

This selective architecture reflects a broader shift in wealth management toward closed ecosystems built on long-term trust rather than scale-driven access.

Platform Architecture and Core Capabilities

At its core, the Hummingbird Executive platform combines secure communication, transaction coordination, and service orchestration. Approved partners are able to discreetly explore off-market investment opportunities while maintaining direct control over client data and identity.

Key platform functions include:

  • Access to curated investment products and off-market assets
  • Direct engagement with asset owners, legal advisors, and vetted professionals
  • Secure handling of documentation and communications under defined privacy protocols

By minimizing unnecessary intermediaries, the platform allows family offices and partner firms to streamline workflows while preserving discretion — a critical requirement for UHNW clients.

Guillaume Nardini, head of white-glove services at Hummingbird Executive, highlighted that the platform was designed to counter the growing reliance on unsecured tools in high-stakes environments. He noted that trusted partners can now deliver elevated services without sacrificing control over sensitive information.

Integration of White-Glove Travel and Lifestyle Services

Beyond investment and transaction management, Hummingbird Executive integrates a comprehensive suite of global travel and lifestyle services. These offerings are designed to complement financial operations by addressing the personal and logistical needs of high-net-worth clients through a single, coordinated interface.

Partners may extend these services to their clients, which include:

  • End-to-end travel arrangements, from commercial flights and private aviation to yachts, luxury hotels, and private villas
  • Lifestyle and concierge services, such as fine dining access, bespoke event planning, and local on-the-ground support
  • Centralized in-app communication for managing complex itineraries and individual requests through a single point of contact

Importantly, these services are delivered within the partner’s own relationship framework. This ensures that firms retain ownership of the client experience while leveraging Hummingbird Executive’s operational network and expertise.

Selectivity, Governance, and Partner Qualification

Access to the Hummingbird Executive platform is granted strictly by invitation or qualification. Prospective partners undergo a screening process that evaluates their commitment to confidentiality, regulatory compliance, and long-term relationship management.

This governance model is intended to foster a trusted ecosystem in which all stakeholders — including asset owners, family offices, and service providers — operate under shared standards of discretion and accountability. By limiting participation, the platform reduces operational risk while enhancing collaboration among vetted participants.

Such selectivity aligns with the expectations of high-net-worth clients, for whom privacy is not a feature but a foundational requirement.

Market Context and Strategic Relevance

The launch of Hummingbird Executive’s digital hub comes amid growing demand for secure, integrated solutions in wealth management and luxury services. Family offices increasingly seek platforms that can unify financial, lifestyle, and operational needs without exposing sensitive data across multiple vendors.

At the same time, regulatory scrutiny and cybersecurity concerns have intensified. These pressures have accelerated the adoption of purpose-built digital environments that prioritize data protection and controlled access over convenience-driven openness.

By combining technology, curated access, and concierge-level service delivery, Hummingbird Executive positions itself at the intersection of wealth management, private markets, and lifestyle orchestration — a segment characterized by high expectations and limited tolerance for risk.

Implications for Family Offices and UHNW Clients

For family offices, the platform offers a potential solution to long-standing coordination challenges. Centralized access to investment opportunities and services reduces operational complexity while supporting governance and reporting requirements.

For UHNW clients, the value proposition lies in discretion and continuity. By operating within a closed ecosystem, clients benefit from consistent service standards and reduced exposure to external threats, regardless of geography or asset type.

Conclusion

Hummingbird Executive’s secure digital hub represents an attempt to redefine how high-net-worth services are delivered in an increasingly interconnected yet risk-sensitive environment. Through selective access, integrated capabilities, and a strong emphasis on privacy, the platform addresses critical gaps in existing service models.

As demand for trust-based digital infrastructure continues to grow, solutions that prioritize discretion, governance, and long-term relationships are likely to play an expanding role in the global high-net-worth landscape.