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The purpose of this paper is to identify traits and skills of a truck driver for sustainable transportation, develop a theoretical framework and outline further research directions.

The present study undertakes a review of extant literature and appreciative inquiry, a quasi-ethnographic approach to identify traits and skills of a truck driver. Further, using a pragmatic approach, a theoretical framework has been developed.

The study proposes a theoretical framework, which can be further used for formulating training modules for truck drivers for sustainable transportation and logistics.

The present framework needs to be statistically validated using survey data and second, the proposition of the theoretical framework needs to be tested using hierarchical regression analysis. Second, in the study the authors have used AI. However, the authors have only interviewed selected senior police officials. This may lead to bias and to further strengthen the present study, one needs to identify other regulatory authorities and human resource managers of transportation companies. However, in Indian subcontinent situation the trucks are primarily owned by unorganized sector. Hence, the owners may have five to ten trucks and this case there is no human resource manager. However, in such case an interview with truck owners may provide a useful insight.

The study has outlined recommendations on the basis of a literature review of extant literature and appreciative inquiry. The recommendations can further help policy makers or technical bodies run by a government agencies or privately managed to develop a training module for truck drivers to meet the future challenges of sustainable transportation.

This research is related to truck drivers and their welfare as well as how they can contribute to sustainable transportation and logistics.

This research attempts to identify traits and skills of a truck driver for a sustainable transportation and logistics, and develops a theoretical framework and outline further research directions. This particular study ventures into new domain (the role of truck driver's role in sustainable logistics and transportation).

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

Sustainable mobility will be the key to the survival of mankind in the 21st century. Cities with debt-ridden and poorly managed transport systems have to change to the ever-growing demands of the public transport system. The low cost of transport has been a key factor in sustainable development for any city. This study is trying to propose a framework for the selection of sustainable transport in context to an Indian case of NCR Delhi, India.

The present study has identified eight criteria for the selection of a sustainable transport system. Criteria for selection of sustainable transport are CO₂ emissions, cost of fuel, energy efficiency, cost of maintenance, number of accidents, congestion, number of injuries and road noise. Three alternatives of transport considered for this study are state-run bus, pooled car and Shuttl (App-based buses). The analytic hierarchy process (AHP) is used to prioritize the criteria. The study has further illustrated a framework for the selection of sustainable transport based on these criteria.

It is observed that CO₂ emissions are the most important criterion for a sustainable transport system. It is followed by a reduction in congestion and the number of injuries. Three alternatives of transport considered for this study are state-run bus, pooled car and Shuttl (a service provider). Shuttl has been found to be the most sustainable transport system.

AHP is not able to capture the vagueness in decision-making. Therefore, fuzzy AHP can be considered for further detailed analysis as future scope of study in a different context of a sustainable transportation system. Major implications for policymakers and stakeholders are that development of public transport in cities should be done after considering different dimensions of sustainable operations.

The study has proposed a unique framework for the selection of a sustainable transport system by the public based on sustainability criteria. Findings will help policymakers in formulating strategies for developing sustainable transport system.

The paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.

The business models of 105 companies offering crowdsourced delivery services are analysed. Cluster analysis and principal component analysis are applied to develop a business model taxonomy.

A detailed crowdsourced delivery business model framework with 74 features is developed. Based on it, six distinct clusters of crowdshipping business models are identified. One cluster stands out as the most appealing to customers based on social media metrics, indicating which type of crowdshipping business models is the most successful.

Detailed investigations of each of the six clusters and of recent crowdshipping business model developments are needed in further research in order to enhance the derived taxonomy.

This paper serves as a best-practices guide for both start-ups and global logistics operators for establishing or further developing their crowdsourced delivery business models.

This paper provides a holistic understanding of the business models applied in the crowdshipping industry and is a valuable contribution to the yet small amount of studies in the crowd logistics field.

The purpose of this research is to gain a better understanding of how a crowd-shipping platform can achieve a critical mass of senders and carrier crowd members to yield network effects that are necessary for the platform to grow and thrive. Specifically, this research studies the participation decisions of both senders and carriers over time and the impacts of the resulting feedback loop on platform growth and performance.

An agent-based model is developed and used to study dynamic behavior and network effects within a simulated crowd-shipping platform. The model allows both carriers and senders to be represented as autonomous, heterogeneous and adaptive agents, whose decisions to participate in the platform impact the participation of other agents over time. Survey data inform the logic governing agent decisions and behaviors.

The feedback loop created by individual sender and carrier agents' participation decisions generates complex and dynamic network effects that are observable at the platform level. Experimental results demonstrate the importance of having sufficient crowd carriers available when the platform is initially launched, as well as ensuring that sender and carrier participation remains balanced as the platform grows over time.

The model successfully demonstrates the power of agent-based modeling (ABM) in analyzing network effects in crowd-shipping systems. However, the model has not yet been fully validated with data from a real-world crowd-shipping platform. Furthermore, the model's geographic scope is limited to a single census tract. Platform behavior will likely differ across geographic regions, with varying demographics and sender/carrier density.

The modeling approach can be used to provide the manager of a volunteer-based crowd-shipping program for food rescue with insights on how to achieve a critical mass of participants, with an appropriate balance between the number of restaurant food donation delivery requests and the number of crowd-shippers available and willing to make those deliveries.

This research can help a crowd-shipping platform for urban food rescue to grow and become self-sustainable, thereby serving more food-insecure people.

The model represents both senders and the carrier crowd as autonomous, heterogeneous and adaptive agents, such that network effects resulting from their interactions can emerge and be observed over time. The model was designed to study a volunteer crowd-shipping platform for food rescue, with participant motivations driven by personal values and social factors, rather than monetary incentives.

Nowadays, companies have required new alternatives and strategies to handle environmental sustainability difficulties, primarily as ecological and social awareness has grown. In this context, the aim is to determine the green transportation indicators in companies with corporate identity and logistics activities at the international level in Giresun, Ordu, Gümüshane, Artvin, Rize, and Trabzon in the Eastern Black Sea Region in Turkey. At the same time, the study contributes to providing an effective and applicable solution to decision-making problems involving the assessment of green transportation indicators and smart network strategies in the logistics sector, which is a critical sector for countries. The purpose of this paper is to address these issues.

This study aims to propose a model for the selection of smart network strategy and to determine the criteria weights used in green transportation indicators, and establish an ideal smart network strategy. In achieving the outlined goals of the study, the authors believe that the model proposed in the study will draw the focus to green logistics which will aid the environmental, economic and social efforts of businesses and governments through the provision of efficient use of scarce resources, which will, in turn, ensure that we leave a sustainable environment for future generations and businesses enjoy a competitive advantage. At the same time, different smart network strategies and green transportation indicators in companies show the success rate of social, economic and environmental indicators in green logistics practices. In addition to providing innovative, reliable and sustainable transportation systems, smart network strategies are critical for businesses to create cost advantages. Through the green transportation indicators and smart network strategies selection model outlined in this study, it is clear that the contribution will not only be limited to businesses, as the society and governments will also benefit from the important indicators on sustainability, as well as the protection of the environment and nature.

According to the findings, “economic indicators” is the essential green transportation indicator in logistics companies with a corporate identity and worldwide transportation operations. Besides, the “mixed access model strategy” is the most appropriate smart network strategy in logistics firms with corporate identity and worldwide transportation activities. Currently, it is possible to assume that logistics organizations prefer to profit from all smart network strategies in terms of cost optimization and competitiveness rather than from just one. The study, on the other hand, which is a road map that will help sustainability practices in the logistics sector due to green transportation, also examines the similarities and differences of green transportation practices in companies in the relevant sector and to what extent they can be reflected. As a result, the study provides a practical road map for selecting green transport indicators and a smart network strategy process for the logistics industry.

This study examined logistics companies with a corporate identity and international transportation activities in provinces in the Eastern Black Sea Region such as Ordu, Giresun, Trabzon, Rize, Artvin and Gümüshane. Novel picture fuzzy level based weight assessment (PF-LBWA) and picture fuzzy combined compromise solution (PF-CoCoSo) methods are developed to solve the decision-making problem.

This study reviews scholarly work in sustainable green logistics and remanufacturing (SGLR) and their subdisciplines, in combination with bibliometric, thematic and content analyses that provide a viewpoint on categorization and a future research agenda. This paper provides insight into current research trends in the subjects of interest by examining the most essential and most referenced articles promoting sustainability and climate-neutral logistics.

For the literature review, the authors extracted and sifted 2180 research and review papers for the period 2008–2023 from the Scopus database. The authors performed bibliometric and content analyses using multiple software programs such as Gephi, VOSviewer and R programming.

The SGLR papers can be grouped into seven clusters: (1) The circular economy facets; (2) Decarbonization of operations to nurture a climate-neutral business; (3) Green sustainable supply chain management; (4) Drivers and barriers of reverse logistics and the circular economy; (5) Business models for sustainable logistics and the circular economy; (6) Transportation problems in sustainable green logistics and (7) Digitalization of logistics and supply chain management.

In this review, fundamental ideas are established, research gaps are identified and multiple future research subjects are proposed. These propositions are categorized into three main research streams, i.e. (1) Digitalization of SGLR, (2) Enhancing scopes, sectors and industries in the context of SGLR and (3) Developing more efficient and effective climate-neutral and climate change-related solutions and promoting more environmental-related and sustainability research concerning SGLR. In addition, two conceptual models concerning SGLR and climate-neutral strategies are developed and presented for managers and practitioners to consider when adopting green and sustainability principles in supply chains. This review also highlights the need for academics to go beyond frameworks and build new techniques and instruments for monitoring SGLR performance in the real world.

This study provides an overview of the evolution of SGLR; it also clarifies concepts, environmental concerns and climate change practices, particularly those directed to supply chain management.

Green human resource management (GHRM) and sustainable green logistics (SGLOG) are some of the mechanisms by which sustainable corporate environmental management could be consummated. However, prior studies linking GHRM and green logistics are lacking in the literature. This paper extends prior efforts by developing a model linking GHRM and SGLOG.

An integrative review of extant literature on green human resource management and sustainable green logistics was conducted, and an integrative model developed.

Improving environmental performance is a key way that businesses can improve their corporate social responsibility and brand image. The resulting model includes expanded components of GHRM (training, development, compensation, awards and recognition, recruitment, and performance management) and of SGLOG (transportation and shipping, warehousing, packaging, and reverse logistics). Categories of shipping and transportation include the following facets: transportation intensity, modal split, emissions intensity, energy efficiency, and vehicle utilization efficiency. The model also highlights the mediating role of management and employee attitudes, knowledge, and skills in the GHRM-SGLOG link, as well as their interaction.

Green human resource management is associated with sustainable green logistics. This association is theoretically mediated by management and employee attitudes, knowledge, and skills. Top management support and influence of other stakeholders are key facilitators.

The paper suggests potential barriers to GHRM and SGLOG adoption/diffusion and panaceas. It also proposes some key drivers of sustainable green logistics and corporate environmental management.

Firms must carry out their operations in ways that do not compromise societal and environmental well-being. High economic performance alone no longer suffice. A balanced performance that also emphasizes social and environmental well-being (the triple bottom line, 3BL) can be achieve through the implementation of the proposed model.

The integrative model presented in the paper advances the current understanding of the link between GHRM and SGLOG. The paper adds additional value by unveiling some key future research directions.

The research article's primary purpose is to understand the advancements in urban logistics and allied fields over time along with a consideration of its enabling technologies.

An initial review is used to build a keyword vocabulary, combinations of which were then applied to the Scopus, ScienceDirect, Emerald Insights, the Web of Science (WOS), Elsevier, Taylor and Francis, Wiley, Inderscience, Springer, Google Scholar and IEEE Xplore for extracting academic publication collection. The first part includes bibliometric analysis; network analysis is done based on the finally selected 645 papers (only those articles include either of the keywords mentioned above in title, abstract, and keywords). The second part conducts a review of the existing literature review studies (only 21 literature review studies out of 645 articles). The last one discusses the advancement in the topics based on the selected research articles.

This research discussed the advancement of the urban logistics and allied field, key academic forums and key researchers. It is evident from the analysis that the research related to key emerging themes like implementing innovative concepts and sustainability; application of green technologies; data collection, visualization, monitoring and sharing; and automatic logistic systems are still in the nascent stage. However, these research areas gained momentum in the recent past.

Urban logistics are essential and play a crucial role for such rapidly growing cities to function. Despite playing a vital role, urban ecosystem logistics is often neglected in formal urban planning. Hence, as a response to customer and business demand, private entities regularly invest in new technologies and solutions. Since such investments are toward profits, various environmental, social and economic challenges arise.

This research investigates the advancements in urban logistics toward smart, sustainable reforms in developing enabling technologies and markets. The obtained research articles are subjected to bibliometric, descriptive, network and content analysis to present a rundown of advancements, relationships and trends in emerging research gaps.