Pub Date : 2025-09-14DOI: 10.1080/15568318.2025.2560579
Jenny Milne , John Nelson , Mark Beecroft , Caitlin D. Cottrill , Steve Wright
The focus of Mobility as a Service (MaaS) has, to date, predominantly been urban and city areas. Consequently, there is a lack of relevant historical evidence and data relating to rural mobility and Rural MaaS (RMaaS). However, as the subject of rural mobility climbs political agendas, there has been an increased focus in the area, and in turn RMaaS, in both developed and developing countries. In Scotland, one six-month mixed (rural and urban) MaaS pilot has been completed and a further four pilots (two regional with rural components commenced in 2021). The development of these pilot projects highlighted both the general knowledge gap in dedicated RMaaS programmes, and the paucity of available evidence on RMaaS from the Scottish context. The research reported in this paper was set in a real-world context to understand RMaaS, by adopting the empirical method of case studies to develop a user-centered or ‘consumer’ co-design approach. The research, undertaken in Scotland prior to the COVID-19 pandemic, revealed eight common barriers to both non-car and car users in rural areas when engaging with different transport modes, and useful insights for the development of user-focused RMaaS. Identified barriers included a lack of information and an inability to put bicycles on buses and unsafe roads for active travel. The findings also highlight that understanding these lived experiences is crucial in the development of sustainable rural mobility and that this should be appreciated by key stakeholders responsible for the development of RMaaS.
{"title":"A collaborative and user-centered approach to exploring the challenges and opportunities in rural transport and mobility: Towards Rural Mobility as a Service (RMaaS)","authors":"Jenny Milne , John Nelson , Mark Beecroft , Caitlin D. Cottrill , Steve Wright","doi":"10.1080/15568318.2025.2560579","DOIUrl":"10.1080/15568318.2025.2560579","url":null,"abstract":"<div><div>The focus of Mobility as a Service (MaaS) has, to date, predominantly been urban and city areas. Consequently, there is a lack of relevant historical evidence and data relating to rural mobility and Rural MaaS (RMaaS). However, as the subject of rural mobility climbs political agendas, there has been an increased focus in the area, and in turn RMaaS, in both developed and developing countries. In Scotland, one six-month mixed (rural and urban) MaaS pilot has been completed and a further four pilots (two regional with rural components commenced in 2021). The development of these pilot projects highlighted both the general knowledge gap in dedicated RMaaS programmes, and the paucity of available evidence on RMaaS from the Scottish context. The research reported in this paper was set in a real-world context to understand RMaaS, by adopting the empirical method of case studies to develop a user-centered or ‘consumer’ co-design approach. The research, undertaken in Scotland prior to the COVID-19 pandemic, revealed eight common barriers to both non-car and car users in rural areas when engaging with different transport modes, and useful insights for the development of user-focused RMaaS. Identified barriers included a lack of information and an inability to put bicycles on buses and unsafe roads for active travel. The findings also highlight that understanding these lived experiences is crucial in the development of sustainable rural mobility and that this should be appreciated by key stakeholders responsible for the development of RMaaS.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 46-62"},"PeriodicalIF":3.9,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The growing shortage of charging stations and escalating power consumption are resulting in extended wait times for electric vehicles (EVs) at charging locations. The effective scheduling of electric vehicle charging to save operational expenses and minimize waiting times in settings with restricted charger access is a significant optimization challenge. A novel improved Highest Response Ratio Next algorithm integrated with the Walrus Optimization Algorithm (IHRRN-WaOA) is proposed to address the scheduling challenge under constraints imposed by limited charging infrastructure. The proposed approach is structured as a two-step optimization framework, where the first step solves the charger allocation problem to minimize wait times, and the second step optimizes charging schedules to reduce both charging costs and battery degradation costs while satisfying EV energy demands. A dynamic online scheduling mechanism is introduced, leveraging the schedulable time of EVs and real-time fluctuations in energy demand to achieve optimal scheduling decisions. Experimental results demonstrate that the proposed IHRRN-WaOA method significantly reduces both total waiting time and station operating costs. Specifically, the method achieves a 19.47% reduction in waiting time compared to First-Come-First-Serve (FCFS) and a 14.89% reduction compared to the Highest Response Ratio Next technique. Additionally, the proposed method lowers the operational costs by 8.88% compared to FCFS and by 6.401% compared to HRRN, making it highly effective for both low- and high-incoming EV traffic scenarios.
{"title":"Intelligent scheduling framework for EV fast charging with waiting time reduction under charger availability constraints","authors":"Shreya Upadhyay , Annapurna Bhargava , Rajive Tiwari","doi":"10.1080/15568318.2025.2557325","DOIUrl":"10.1080/15568318.2025.2557325","url":null,"abstract":"<div><div>The growing shortage of charging stations and escalating power consumption are resulting in extended wait times for electric vehicles (EVs) at charging locations. The effective scheduling of electric vehicle charging to save operational expenses and minimize waiting times in settings with restricted charger access is a significant optimization challenge. A novel improved Highest Response Ratio Next algorithm integrated with the Walrus Optimization Algorithm (IHRRN-WaOA) is proposed to address the scheduling challenge under constraints imposed by limited charging infrastructure. The proposed approach is structured as a two-step optimization framework, where the first step solves the charger allocation problem to minimize wait times, and the second step optimizes charging schedules to reduce both charging costs and battery degradation costs while satisfying EV energy demands. A dynamic online scheduling mechanism is introduced, leveraging the schedulable time of EVs and real-time fluctuations in energy demand to achieve optimal scheduling decisions. Experimental results demonstrate that the proposed IHRRN-WaOA method significantly reduces both total waiting time and station operating costs. Specifically, the method achieves a 19.47% reduction in waiting time compared to First-Come-First-Serve (FCFS) and a 14.89% reduction compared to the Highest Response Ratio Next technique. Additionally, the proposed method lowers the operational costs by 8.88% compared to FCFS and by 6.401% compared to HRRN, making it highly effective for both low- and high-incoming EV traffic scenarios.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 16-32"},"PeriodicalIF":3.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-08DOI: 10.1080/15568318.2025.2557324
Alessandro Indelicato , Salvador Moral-Cuadra , Francisco Orgaz-Agüera , Juan Carlos Martín
This study analyses Environmental Attitudes (EA) and preferences for Sustainable Transport Alternatives (STA) among residents of Santiago de los Caballeros, Dominican Republic. Using survey data from 600 participants aged 18 and older, stratified by socioeconomic characteristics, the research employs the Fuzzy Hybrid TOPSIS method to assess EA and STA based on these factors. Additionally, the Fuzzy Clustering ECO-Extended Apostle Model identifies four categories of individuals: Environmental Consistent, Environmental Conscientious, Environmental Inconsistent, and Environmental Negationist. Probability Conditional Ratios highlight the likelihood of individuals falling into these categories. Results reveal substantial socioeconomic differences in EA and STA, with women and those with primary education showing strong preferences for sustainable transport. However, these preferences may be influenced by socioeconomic constraints rather than solely by environmental awareness. The findings highlight the intricate relationship between socioeconomic conditions and sustainable attitudes, offering valuable insights into targeted policy strategies for promoting sustainable transportation in diverse populations.
本研究分析了多米尼加共和国圣地亚哥de los Caballeros居民的环境态度（EA）和对可持续交通选择（STA）的偏好。该研究利用600名18岁及以上参与者的调查数据，按社会经济特征分层，采用模糊混合TOPSIS方法评估基于这些因素的EA和STA。此外，模糊聚类生态扩展使徒模型确定了四类个人：环境一致，环境尽责，环境不一致和环境否定主义者。概率条件比率强调个体落入这些类别的可能性。结果显示，EA和STA的社会经济差异很大，女性和受过初等教育的人对可持续交通表现出强烈的偏好。然而，这些偏好可能受到社会经济制约因素的影响，而不仅仅是受到环境意识的影响。研究结果强调了社会经济条件与可持续态度之间的复杂关系，为促进不同人群的可持续交通提供了有针对性的政策策略。
{"title":"How well are environmental attitudes and sustainable transport alternatives aligned in Santiago de los Caballeros (Dominican Republic)","authors":"Alessandro Indelicato , Salvador Moral-Cuadra , Francisco Orgaz-Agüera , Juan Carlos Martín","doi":"10.1080/15568318.2025.2557324","DOIUrl":"10.1080/15568318.2025.2557324","url":null,"abstract":"<div><div>This study analyses Environmental Attitudes (EA) and preferences for Sustainable Transport Alternatives (STA) among residents of Santiago de los Caballeros, Dominican Republic. Using survey data from 600 participants aged 18 and older, stratified by socioeconomic characteristics, the research employs the Fuzzy Hybrid TOPSIS method to assess EA and STA based on these factors. Additionally, the Fuzzy Clustering ECO-Extended Apostle Model identifies four categories of individuals: Environmental Consistent, Environmental Conscientious, Environmental Inconsistent, and Environmental Negationist. Probability Conditional Ratios highlight the likelihood of individuals falling into these categories. Results reveal substantial socioeconomic differences in EA and STA, with women and those with primary education showing strong preferences for sustainable transport. However, these preferences may be influenced by socioeconomic constraints rather than solely by environmental awareness. The findings highlight the intricate relationship between socioeconomic conditions and sustainable attitudes, offering valuable insights into targeted policy strategies for promoting sustainable transportation in diverse populations.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 1-15"},"PeriodicalIF":3.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-07DOI: 10.1080/15568318.2025.2558953
José Ignacio Huertas-Cardozo , Rogelio Escamilla
Governmental authorities and fleet managers are interested in actionable insights that could reduce fuel consumption and, consequently, greenhouse gas emissions in the ground transport sector. Aiming to address this interest, we propose a methodology based on dimensionless numbers for comparing non-technology-related factors influencing vehicle fuel consumption, such as driving patterns and transport infrastructure. Aiming to illustrate the applicability of this methodology, the daily operational conditions of heavy-duty vehicles with the same technology were observed for a prolonged period (>2.5 years) in three diverse regions. Results revealed that topography is the most relevant (60%) factor influencing fuel consumption in Colombia (62%) and Ecuador (51%), while driving habits are the leading cause of excess fuel consumption in Mexico (49%).
{"title":"Comparison of driving patterns using non-dimensional analysis","authors":"José Ignacio Huertas-Cardozo , Rogelio Escamilla","doi":"10.1080/15568318.2025.2558953","DOIUrl":"10.1080/15568318.2025.2558953","url":null,"abstract":"<div><div>Governmental authorities and fleet managers are interested in actionable insights that could reduce fuel consumption and, consequently, greenhouse gas emissions in the ground transport sector. Aiming to address this interest, we propose a methodology based on dimensionless numbers for comparing non-technology-related factors influencing vehicle fuel consumption, such as driving patterns and transport infrastructure. Aiming to illustrate the applicability of this methodology, the daily operational conditions of heavy-duty vehicles with the same technology were observed for a prolonged period (>2.5 years) in three diverse regions. Results revealed that topography is the most relevant (60%) factor influencing fuel consumption in Colombia (62%) and Ecuador (51%), while driving habits are the leading cause of excess fuel consumption in Mexico (49%).</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 1","pages":"Pages 33-45"},"PeriodicalIF":3.9,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-03DOI: 10.1080/15568318.2025.2510414
Zeinab Rezvani , Stefanie Sohn , Johan Jansson , Oliver Schnittka
Policymakers are increasingly implementing transport policies to encourage sustainable transport behaviors. However, research on how these policies influence the adoption of sustainable transport remains limited, particularly from the individual consumer’s perspective. This study examines how consumers’ emotional acceptance of transport policies—specifically, the anticipated pride and guilt-relief associated with the policies shape their intention to adopt sustainable transport. Using the case of Sweden’s environmental transport policy aimed at achieving fossil fuel independence by 2030, we surveyed 342 adults and analyzed the data using structural equation modeling. Our findings reveal that emotional acceptance of the policy significantly increases the likelihood of adopting sustainable transport (i.e. willingness to adopt an alternative fuel vehicle). Policy-related emotions enhance individuals’ perceptions of the policy’s effectiveness and foster greater support, which in turn promotes the adoption of sustainable transport options. These insights offer valuable guidance for policymakers: by complementing structural measures (such as subsidies and infrastructure investments) with communication strategies that evoke positive emotional responses, it is possible to strengthen public support for environmental transport policies and accelerate the uptake of sustainable transport.
{"title":"How consumers’ emotions about transport policies shape their adoption of sustainable transport","authors":"Zeinab Rezvani , Stefanie Sohn , Johan Jansson , Oliver Schnittka","doi":"10.1080/15568318.2025.2510414","DOIUrl":"10.1080/15568318.2025.2510414","url":null,"abstract":"<div><div>Policymakers are increasingly implementing transport policies to encourage sustainable transport behaviors. However, research on how these policies influence the adoption of sustainable transport remains limited, particularly from the individual consumer’s perspective. This study examines how consumers’ emotional acceptance of transport policies—specifically, the anticipated pride and guilt-relief associated with the policies shape their intention to adopt sustainable transport. Using the case of Sweden’s environmental transport policy aimed at achieving fossil fuel independence by 2030, we surveyed 342 adults and analyzed the data using structural equation modeling. Our findings reveal that emotional acceptance of the policy significantly increases the likelihood of adopting sustainable transport (i.e. willingness to adopt an alternative fuel vehicle). Policy-related emotions enhance individuals’ perceptions of the policy’s effectiveness and foster greater support, which in turn promotes the adoption of sustainable transport options. These insights offer valuable guidance for policymakers: by complementing structural measures (such as subsidies and infrastructure investments) with communication strategies that evoke positive emotional responses, it is possible to strengthen public support for environmental transport policies and accelerate the uptake of sustainable transport.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 7","pages":"Pages 587-596"},"PeriodicalIF":3.1,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-03DOI: 10.1080/15568318.2025.2522370
Gargy M. Sudhakaran , Colin A. Booth , Abhinesh Prabhakaran , Samuel J. Abbey , Panagiotis Georgakis , Suresh Renukappa , Subashini Suresh , Babis Magoutas , Marina Georgiou , Dorine Karvouniari-Matzakou , Maria Pohle , Nora Strauzenberg , Vanessa S. Hilse , Nimalan Chandranesan , Ruth Anderson
Road traffic incidents are responsible for the loss of ∼1.19 million lives annually and the 50 million people who sustain injuries. Vulnerable Road Users (VRUs) account for a significant portion of these data, constituting 70% in Europe and 50% in the United Kingdom (UK). Addressing these alarming fatality rates requires initiatives such as the European Union’s Vision Zero, which aims at eradicating road collision fatalities and serving as a model for global action. Similarly, the UK is committed to realizing its transport vision 2050, emphasizing seamless, safe, net-zero, interconnected, cost-effective, accessible, and dependable transportation for all. Effective implementation of appropriate safety interventions hinges on understanding the challenges VRUs face. While previous studies have delved into challenges encountered by specific VRU groups, this research fills a gap by comprehensively examining difficulties encountered by various VRUs. Therefore, this study aims to adopt a co-creation process to expose insights and issues shared by VRUs across Oxfordshire, UK, and to identify collective solutions that could improve road safety. The study adopted a world café method, which fosters an environment where diverse perspectives and ideas are explored through open-ended conversations. Thematic analysis of the qualitative data identified critical areas for intervention: infrastructure, behavior, technology, environment, law enforcement, and awareness. Apart from the interventions, the research underscores the need for end-user involvement in mobility infrastructure planning, as safety requirements vary among VRU categories, emphasizing the urgency of adopting a human-centric design approach to reduce road injuries and fatalities and ensure equal accessibility and safety for all.
{"title":"Road safety of micro-mobility and vulnerable road users: Insights and issues from a world café","authors":"Gargy M. Sudhakaran , Colin A. Booth , Abhinesh Prabhakaran , Samuel J. Abbey , Panagiotis Georgakis , Suresh Renukappa , Subashini Suresh , Babis Magoutas , Marina Georgiou , Dorine Karvouniari-Matzakou , Maria Pohle , Nora Strauzenberg , Vanessa S. Hilse , Nimalan Chandranesan , Ruth Anderson","doi":"10.1080/15568318.2025.2522370","DOIUrl":"10.1080/15568318.2025.2522370","url":null,"abstract":"<div><div>Road traffic incidents are responsible for the loss of ∼1.19 million lives annually and the 50 million people who sustain injuries. Vulnerable Road Users (VRUs) account for a significant portion of these data, constituting 70% in Europe and 50% in the United Kingdom (UK). Addressing these alarming fatality rates requires initiatives such as the European Union’s Vision Zero, which aims at eradicating road collision fatalities and serving as a model for global action. Similarly, the UK is committed to realizing its transport vision 2050, emphasizing seamless, safe, net-zero, interconnected, cost-effective, accessible, and dependable transportation for all. Effective implementation of appropriate safety interventions hinges on understanding the challenges VRUs face. While previous studies have delved into challenges encountered by specific VRU groups, this research fills a gap by comprehensively examining difficulties encountered by various VRUs. Therefore, this study aims to adopt a co-creation process to expose insights and issues shared by VRUs across Oxfordshire, UK, and to identify collective solutions that could improve road safety. The study adopted a world café method, which fosters an environment where diverse perspectives and ideas are explored through open-ended conversations. Thematic analysis of the qualitative data identified critical areas for intervention: infrastructure, behavior, technology, environment, law enforcement, and awareness. Apart from the interventions, the research underscores the need for end-user involvement in mobility infrastructure planning, as safety requirements vary among VRU categories, emphasizing the urgency of adopting a human-centric design approach to reduce road injuries and fatalities and ensure equal accessibility and safety for all.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 7","pages":"Pages 635-659"},"PeriodicalIF":3.1,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-03DOI: 10.1080/15568318.2025.2515561
Tianyuan Xu , Bongju Jeong
The Electric Vehicle (EV) has gained significant attraction in urban transportation, driven by the convergence of fast charging capabilities of battery and heightened environmental consciousness. Efficient operation of Fast Charging Stations (FCSs) requires addressing challenges such as the rapid and accurate processing of traffic condition data. This study presents a fluid model that leverages real-time traffic data to estimate FCS capacity, taking into account factors like vehicle density and speed in urban traffic segments. A rolling horizon scheduling approach is then employed to develop a simulated EV charging schedule based on the estimated FCS capacity. The simulation aims to maximize FCS utilization, ensure customer satisfaction, and respond to dynamic power demands. The study also examines the impact of the fluid model on operational efficiency under various traffic conditions and evaluates the proposed scheduling method across different time intervals. By integrating traffic dynamics into capacity estimation and utilization optimization, this research enhances strategies for effective FCS operations. Furthermore, it provides practical insights for optimizing EV charging station operations amidst evolving urban dynamics.
{"title":"Integrating EV fast charging stations with traffic dynamics: A real-time traffic fluid model approach","authors":"Tianyuan Xu , Bongju Jeong","doi":"10.1080/15568318.2025.2515561","DOIUrl":"10.1080/15568318.2025.2515561","url":null,"abstract":"<div><div>The Electric Vehicle (EV) has gained significant attraction in urban transportation, driven by the convergence of fast charging capabilities of battery and heightened environmental consciousness. Efficient operation of Fast Charging Stations (FCSs) requires addressing challenges such as the rapid and accurate processing of traffic condition data. This study presents a fluid model that leverages real-time traffic data to estimate FCS capacity, taking into account factors like vehicle density and speed in urban traffic segments. A rolling horizon scheduling approach is then employed to develop a simulated EV charging schedule based on the estimated FCS capacity. The simulation aims to maximize FCS utilization, ensure customer satisfaction, and respond to dynamic power demands. The study also examines the impact of the fluid model on operational efficiency under various traffic conditions and evaluates the proposed scheduling method across different time intervals. By integrating traffic dynamics into capacity estimation and utilization optimization, this research enhances strategies for effective FCS operations. Furthermore, it provides practical insights for optimizing EV charging station operations amidst evolving urban dynamics.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 7","pages":"Pages 597-614"},"PeriodicalIF":3.1,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-03DOI: 10.1080/15568318.2025.2519266
Jiajia Li , Pengxin Wang
Using the spatial econometric model and the Multiple Mesomeric effect model, this paper studies the direct effect, the spatial spillover effect, and mechanism of heterogeneous environmental regulations on transport carbon emission efficiency, and the interaction of heterogeneous environmental regulations. Research has found that: (1) Investment-based, expense-based, and informal environmental regulations all exhibit a compelling reverse emission reduction effect on transportation carbon emissions efficiency, but the effect of informal environmental regulations is significantly lower than that of investment-based or expense-based environmental regulations. (2) There is a neighborhood-divergence spatial spillover effect in the efficiency of transportation carbon emissions, which is mainly caused by expense-based environmental regulations. (3) Heterogeneous environmental regulations indirectly affect transportation carbon emission efficiency by the advanced and rationalized industrial structure, technological research and development, and foreign direct investment. (4) There is a complementary effect between investment-based and expense-based environmental regulation, as well as informal and investment-based environmental regulation. Therefore, various regions should coordinate the application of heterogeneous environmental regulation policy tools to deepen the impact of environmental regulations on various aspects of the transportation industry, to promote the realization of carbon reduction and efficiency enhancement in the transportation industry.
{"title":"The impact of heterogeneous environmental regulations on traffic carbon emission efficiency","authors":"Jiajia Li , Pengxin Wang","doi":"10.1080/15568318.2025.2519266","DOIUrl":"10.1080/15568318.2025.2519266","url":null,"abstract":"<div><div>Using the spatial econometric model and the Multiple Mesomeric effect model, this paper studies the direct effect, the spatial spillover effect, and mechanism of heterogeneous environmental regulations on transport carbon emission efficiency, and the interaction of heterogeneous environmental regulations. Research has found that: (1) Investment-based, expense-based, and informal environmental regulations all exhibit a compelling reverse emission reduction effect on transportation carbon emissions efficiency, but the effect of informal environmental regulations is significantly lower than that of investment-based or expense-based environmental regulations. (2) There is a neighborhood-divergence spatial spillover effect in the efficiency of transportation carbon emissions, which is mainly caused by expense-based environmental regulations. (3) Heterogeneous environmental regulations indirectly affect transportation carbon emission efficiency by the advanced and rationalized industrial structure, technological research and development, and foreign direct investment. (4) There is a complementary effect between investment-based and expense-based environmental regulation, as well as informal and investment-based environmental regulation. Therefore, various regions should coordinate the application of heterogeneous environmental regulation policy tools to deepen the impact of environmental regulations on various aspects of the transportation industry, to promote the realization of carbon reduction and efficiency enhancement in the transportation industry.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 7","pages":"Pages 660-679"},"PeriodicalIF":3.1,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-03DOI: 10.1080/15568318.2025.2520351
Puthipong Julagasigorn , Ruth Banomyong , David B. Grant , Paitoon Varadejsatitwong
This study investigates the psychological factors influencing drivers’ use of carpooling platforms for sustainable shared transport, through an empirical analysis of a startup online platform in Thailand. The research is grounded in the Technology Acceptance Model (TAM) and Consumer Perceived Value (CPV) theory, employing a multiple-qualitative-methods approach. Data were collected from twenty driver interviews and netnographic archival data, which included social networking sites and data obtained from the platform’s database, and analyzed using thematic analysis. The findings reveal platform-related factors based on TAM and value perceptions of carpooling benefits from CPV, therefore introducing the concept of Provider Perceived Value (PPV) for the transport and peer provider literature. Notably, three new value types, (1) functional, (2) relationship, and (3) merit, were identified. Additionally, the study proposes a conceptual model for future research. Nine characteristics of carpool drivers were identified, alongside strategies to address drivers’ needs and how to increase and maintain driver numbers for both the startup under study and other platforms. The paper offers policy recommendations for policymakers and governments to collaborate with carpooling platforms to guide strategic initiatives to promote carpooling. These initiatives aim to support the United Nations’ Sustainable Development Goals (SDGs), particularly SDGs 11 (Sustainable Cities and Communities) and 13 (Climate Action).
{"title":"Examining drivers’ motivations to use a carpooling platform in Thailand: A technology acceptance model and consumer perceived value perspective","authors":"Puthipong Julagasigorn , Ruth Banomyong , David B. Grant , Paitoon Varadejsatitwong","doi":"10.1080/15568318.2025.2520351","DOIUrl":"10.1080/15568318.2025.2520351","url":null,"abstract":"<div><div>This study investigates the psychological factors influencing drivers’ use of carpooling platforms for sustainable shared transport, through an empirical analysis of a startup online platform in Thailand. The research is grounded in the Technology Acceptance Model (TAM) and Consumer Perceived Value (CPV) theory, employing a multiple-qualitative-methods approach. Data were collected from twenty driver interviews and netnographic archival data, which included social networking sites and data obtained from the platform’s database, and analyzed using thematic analysis. The findings reveal platform-related factors based on TAM and value perceptions of carpooling benefits from CPV, therefore introducing the concept of Provider Perceived Value (PPV) for the transport and peer provider literature. Notably, three new value types, (1) functional, (2) relationship, and (3) merit, were identified. Additionally, the study proposes a conceptual model for future research. Nine characteristics of carpool drivers were identified, alongside strategies to address drivers’ needs and how to increase and maintain driver numbers for both the startup under study and other platforms. The paper offers policy recommendations for policymakers and governments to collaborate with carpooling platforms to guide strategic initiatives to promote carpooling. These initiatives aim to support the United Nations’ Sustainable Development Goals (SDGs), particularly SDGs 11 (Sustainable Cities and Communities) and 13 (Climate Action).</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 7","pages":"Pages 615-634"},"PeriodicalIF":3.1,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-03DOI: 10.1080/15568318.2025.2522994
Szu-Yu Kuo
Organizational environmental ethics and innovation are becoming increasingly critical in shaping green port performance. While prior research has examined the factors influencing this performance, limited attention has been given to the interaction between environmental ethics, eco-innovation, process innovation, and supplier involvement. Environmental ethics drives sustainable practices, while eco-innovation and process innovation introduce advanced technologies and operational processes to mitigate environmental impacts. Additionally, supplier involvement plays a vital role in collaborative sustainability efforts. This study explores the combined influence of these elements, offering valuable insights for enhancing green port performance and advancing sustainable port management practices. We used data collected from a sample of 181 container terminal workers. Structural equation modeling (SEM) and hierarchical regression methods were used for the data analysis. The findings indicated that both environmental ethics and eco-innovation significantly influenced process innovation and that green port performance was positively affected by process innovation and supplier involvement. Additionally, supplier involvement had a positive moderating impact on the relationship between process innovation and green port performance. This paper advances the practical implications of new knowledge regarding supplier involvement, which practitioners can use to capitalize on port operations and improve green port performance. This study also contributes theoretical implications in terms of how environmental ethics, eco-innovation, process innovation, and supplier involvement can assist green port performance, which has yet to be theorized or empirically examined for the port industry.
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