Pub Date : 2026-02-01DOI: 10.1080/15568318.2025.2570322
Daniel Romm , Lexi Kinman , Kevin Manaugh , Grant McKenzie
A field of research is emerging that examines the allocation of street space to different transportation infrastructures, backgrounded by the increasingly recognized need to redesign city streets away from the dominance that cars have held over them for the past century. In this scoping review, we systematically search the literature to identify 12 peer-reviewed journal articles that use empirical methods to study street space allocation to transportation modes, synthesizing and reflecting on the studies’ methodologies, results, and identified policy implications and future research areas. From this synthesis, key themes emerge around how the studies frame their work in the transportation justice literature and toward conceptualizing an equitable streetscape, the differences in the methodologies employed and promising avenues to improve their methods, and the difficulties in comparing results across studies. Stemming from the reviewed studies, this review offers several directions for future research to encourage the development of street space allocation research, a field well-positioned to contribute to research and policy around critiquing and improving city streets and urban livability.
{"title":"Measuring and moving on the street: A scoping review of street space allocation studies","authors":"Daniel Romm , Lexi Kinman , Kevin Manaugh , Grant McKenzie","doi":"10.1080/15568318.2025.2570322","DOIUrl":"10.1080/15568318.2025.2570322","url":null,"abstract":"<div><div>A field of research is emerging that examines the allocation of street space to different transportation infrastructures, backgrounded by the increasingly recognized need to redesign city streets away from the dominance that cars have held over them for the past century. In this scoping review, we systematically search the literature to identify 12 peer-reviewed journal articles that use empirical methods to study street space allocation to transportation modes, synthesizing and reflecting on the studies’ methodologies, results, and identified policy implications and future research areas. From this synthesis, key themes emerge around how the studies frame their work in the transportation justice literature and toward conceptualizing an equitable streetscape, the differences in the methodologies employed and promising avenues to improve their methods, and the difficulties in comparing results across studies. Stemming from the reviewed studies, this review offers several directions for future research to encourage the development of street space allocation research, a field well-positioned to contribute to research and policy around critiquing and improving city streets and urban livability.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 2","pages":"Pages 223-238"},"PeriodicalIF":3.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098655","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 : 2026-02-01DOI: 10.1080/15568318.2025.2578219
Shahryar Monghasemi , Moatassem Abdallah
Reducing transportation emissions is a critical challenge, particularly in urban areas where single-occupancy vehicle (SOV) commutes significantly contribute to greenhouse gas (GHG) emissions. This study introduces a novel Collaborative and Incentivized Trip Planning System designed to address this issue by enabling neighboring businesses to pool resources and provide personalized financial incentives. These incentives encourage employees to shift from SOVs to sustainable modes such as carpooling, biking, walking, and public transit. Unlike traditional approaches, the system leverages inter-business collaboration to expand transportation options and enhance the effectiveness of incentive programs. The system integrates a travel attributes model, multi-objective optimization, logit discrete choice, and monetary incentives models to balance cost-effectiveness with emission reduction targets. Through a case study involving 253 employees across three neighboring businesses, the system demonstrated that collaborative strategies could nearly double emissions reductions compared to isolated efforts. This research underscores the importance of collaboration in transportation demand management, providing a scalable framework for reducing emissions while maintaining financial viability. The findings offer actionable insights for policymakers, urban planners, and businesses aiming to implement sustainable commuting programs. By studying the feasibility and benefits of incentive-based, collaborative systems, this work contributes to advancing sustainable urban transportation and mitigating the environmental impacts of commuting.
{"title":"Collaborative and incentivized trip planning system to minimize transportation emissions for business commuting","authors":"Shahryar Monghasemi , Moatassem Abdallah","doi":"10.1080/15568318.2025.2578219","DOIUrl":"10.1080/15568318.2025.2578219","url":null,"abstract":"<div><div>Reducing transportation emissions is a critical challenge, particularly in urban areas where single-occupancy vehicle (SOV) commutes significantly contribute to greenhouse gas (GHG) emissions. This study introduces a novel Collaborative and Incentivized Trip Planning System designed to address this issue by enabling neighboring businesses to pool resources and provide personalized financial incentives. These incentives encourage employees to shift from SOVs to sustainable modes such as carpooling, biking, walking, and public transit. Unlike traditional approaches, the system leverages inter-business collaboration to expand transportation options and enhance the effectiveness of incentive programs. The system integrates a travel attributes model, multi-objective optimization, logit discrete choice, and monetary incentives models to balance cost-effectiveness with emission reduction targets. Through a case study involving 253 employees across three neighboring businesses, the system demonstrated that collaborative strategies could nearly double emissions reductions compared to isolated efforts. This research underscores the importance of collaboration in transportation demand management, providing a scalable framework for reducing emissions while maintaining financial viability. The findings offer actionable insights for policymakers, urban planners, and businesses aiming to implement sustainable commuting programs. By studying the feasibility and benefits of incentive-based, collaborative systems, this work contributes to advancing sustainable urban transportation and mitigating the environmental impacts of commuting.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 2","pages":"Pages 184-208"},"PeriodicalIF":3.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098675","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 : 2026-02-01DOI: 10.1080/15568318.2025.2568075
Tianpei Tang , Xin Miao , Jianxiong Xu , Tao Zeng , Xuwei Du , Jie Ma
Electric vehicles (EVs) play a critical role in advancing the adoption of renewable energy and promoting sustainable transportation in China. Technological innovations have increased public interest in EVs; however, incidents of spontaneous combustion have raised significant safety concerns, which may influence consumer purchase intentions. Although prior research has examined multiple determinants influencing EV purchase intentions, few have examined the specific impact of spontaneous combustion incidents, particularly through quantitative analysis. This study combines social media data analysis with survey responses to identify key consumer concerns regarding EV spontaneous combustion and assess the extent to which these concerns influence purchase intentions. A qualitative exploration of social media discussions on EV combustion incidents reveals key themes and public sentiment, forming the basis for a thematic integration framework. Partial least squares structural equation modeling is then applied to quantify the influence of critical factors, while a Bayesian network model provides predictive insights into causal relationships. The findings indicate that (i) social influence, attitude, and perceived risk are the primary factors affecting EV purchase intentions after incidents of spontaneous combustion, (ii) perceived risk and attitude mediate the relationship between social influence and purchase intention, and (iii) environmental benefits have a greater impact than financial incentives on consumer decision-making, underscoring the complexity of consumer behavior. These insights provide valuable guidance for EV manufacturers and policymakers, emphasizing the importance of tailored marketing strategies, enhanced safety measures, and effective risk communication to bolster consumer confidence and encourage EV purchase.
{"title":"Can spontaneous combustion incidents affect consumers’ purchase intention of electric vehicles? Evidence from public discourse","authors":"Tianpei Tang , Xin Miao , Jianxiong Xu , Tao Zeng , Xuwei Du , Jie Ma","doi":"10.1080/15568318.2025.2568075","DOIUrl":"10.1080/15568318.2025.2568075","url":null,"abstract":"<div><div>Electric vehicles (EVs) play a critical role in advancing the adoption of renewable energy and promoting sustainable transportation in China. Technological innovations have increased public interest in EVs; however, incidents of spontaneous combustion have raised significant safety concerns, which may influence consumer purchase intentions. Although prior research has examined multiple determinants influencing EV purchase intentions, few have examined the specific impact of spontaneous combustion incidents, particularly through quantitative analysis. This study combines social media data analysis with survey responses to identify key consumer concerns regarding EV spontaneous combustion and assess the extent to which these concerns influence purchase intentions. A qualitative exploration of social media discussions on EV combustion incidents reveals key themes and public sentiment, forming the basis for a thematic integration framework. Partial least squares structural equation modeling is then applied to quantify the influence of critical factors, while a Bayesian network model provides predictive insights into causal relationships. The findings indicate that (i) social influence, attitude, and perceived risk are the primary factors affecting EV purchase intentions after incidents of spontaneous combustion, (ii) perceived risk and attitude mediate the relationship between social influence and purchase intention, and (iii) environmental benefits have a greater impact than financial incentives on consumer decision-making, underscoring the complexity of consumer behavior. These insights provide valuable guidance for EV manufacturers and policymakers, emphasizing the importance of tailored marketing strategies, enhanced safety measures, and effective risk communication to bolster consumer confidence and encourage EV purchase.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 2","pages":"Pages 209-222"},"PeriodicalIF":3.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098654","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 : 2026-02-01DOI: 10.1080/15568318.2025.2546032
Yuechi Zhang , Ge Wu , Zhuang Miao
Promoting green-biased technical change is pivotal for the low-carbon transition and sustainable development of China’s transportation industry. This paper employed a BAM-DEA model and Luenberger productivity indicator to measure and evaluate the green-biased technical change in China’s transportation industry 2003–2020. Furthermore, the study identified the factor-biased of green technical change. The results indicate that the average annual green-biased technical change is 0.504%, with energy and environmental factors contributing significantly. The input variables’ factor bias follows the order of labor, energy, and capital, while for environmental factors, the order is VOCs, NOx, and CO2. The results of regression analysis indicate that all the influencing factors have heterogeneous effect on green-biased technical change of environmental factors, CO2-biased technical change, VOCs-biased technical change, and NOX-biased technical change. This study provides a scientific foundation for exploring innovative technical pathways for energy conservation, emission reduction, and a green and low-carbon transition of China’s transportation industry.
{"title":"Green-biased technical change in energy and environmental factors and its influencing factors of transportation industry in China: An analysis based on BAM-DEA model","authors":"Yuechi Zhang , Ge Wu , Zhuang Miao","doi":"10.1080/15568318.2025.2546032","DOIUrl":"10.1080/15568318.2025.2546032","url":null,"abstract":"<div><div>Promoting green-biased technical change is pivotal for the low-carbon transition and sustainable development of China’s transportation industry. This paper employed a BAM-DEA model and Luenberger productivity indicator to measure and evaluate the green-biased technical change in China’s transportation industry 2003–2020. Furthermore, the study identified the factor-biased of green technical change. The results indicate that the average annual green-biased technical change is 0.504%, with energy and environmental factors contributing significantly. The input variables’ factor bias follows the order of labor, energy, and capital, while for environmental factors, the order is VOCs, NOx, and CO<sub>2</sub>. The results of regression analysis indicate that all the influencing factors have heterogeneous effect on green-biased technical change of environmental factors, CO<sub>2</sub>-biased technical change, VOCs-biased technical change, and NO<sub>X</sub>-biased technical change. This study provides a scientific foundation for exploring innovative technical pathways for energy conservation, emission reduction, and a green and low-carbon transition of China’s transportation industry.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 2","pages":"Pages 143-158"},"PeriodicalIF":3.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098676","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 : 2026-02-01DOI: 10.1080/15568318.2025.2570324
Huseyin Ayan , Margaret Bell , Dilum Dissanayake
This study explores public perceptions and attitudes toward the Tyne and Wear metro system in Northeast England to inform policies promoting sustainable transport. Passenger satisfaction and metro use are investigated through a comprehensive questionnaire covering ten factors namely accessibility, direct benefits with respect to travel (cost and time), reliability and availability, travel safety (security and safety), comfort, innovations, ticketing service, amenities, policy implementations, and sustainability aspects. These factors guided the development of an online questionnaire, which was subsequently piloted and employed, receiving responses from 1139 participants, of which 850 were complete after data cleaning. Bayesian networks structure learning algorithms examine the interactions and complex relationships among the factors that influence metro satisfaction, and a detailed map of their impacts is created. Partial least squares structural equation modeling further clarifies these relationships and assesses their effects on overall user experience. Initial findings emphasize accessibility and direct benefits such as cost and time as key drivers of satisfaction. Besides these, reliability and availability, and security and safety play significant roles in satisfaction. These insights call for user-centered, inclusive transport planning strategies in metro system planning, enabling targeted enhancements to meet diverse needs and support sustainability goals. This research provides a novel and transferrable data-driven approach for transport planners and policymakers to improve the metro system strategically, enhancing service quality, increasing ridership, and contributing to Net Zero and promoting sustainable mobility. Emphasizing sustainable mobility, this study advocates for transformative changes that align with the broader vision of transport futures and adaptable travel behavior.
{"title":"Discovering the dynamics of metro satisfaction: Insights from the Tyne and Wear metro experience","authors":"Huseyin Ayan , Margaret Bell , Dilum Dissanayake","doi":"10.1080/15568318.2025.2570324","DOIUrl":"10.1080/15568318.2025.2570324","url":null,"abstract":"<div><div>This study explores public perceptions and attitudes toward the Tyne and Wear metro system in Northeast England to inform policies promoting sustainable transport. Passenger satisfaction and metro use are investigated through a comprehensive questionnaire covering ten factors namely accessibility, direct benefits with respect to travel (cost and time), reliability and availability, travel safety (security and safety), comfort, innovations, ticketing service, amenities, policy implementations, and sustainability aspects. These factors guided the development of an online questionnaire, which was subsequently piloted and employed, receiving responses from 1139 participants, of which 850 were complete after data cleaning. Bayesian networks structure learning algorithms examine the interactions and complex relationships among the factors that influence metro satisfaction, and a detailed map of their impacts is created. Partial least squares structural equation modeling further clarifies these relationships and assesses their effects on overall user experience. Initial findings emphasize accessibility and direct benefits such as cost and time as key drivers of satisfaction. Besides these, reliability and availability, and security and safety play significant roles in satisfaction. These insights call for user-centered, inclusive transport planning strategies in metro system planning, enabling targeted enhancements to meet diverse needs and support sustainability goals. This research provides a novel and transferrable data-driven approach for transport planners and policymakers to improve the metro system strategically, enhancing service quality, increasing ridership, and contributing to Net Zero and promoting sustainable mobility. Emphasizing sustainable mobility, this study advocates for transformative changes that align with the broader vision of transport futures and adaptable travel behavior.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 2","pages":"Pages 159-183"},"PeriodicalIF":3.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098653","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 : 2026-02-01DOI: 10.1080/15568318.2025.2570323
Yanan Li , Yanyan Chen , Tao Feng , Yifei Gong
The carbon emission trading system is considered as an effective tool for reducing emissions of road freight transport. As key participants in the carbon emission trading market for road freight transport, the strategies and behaviors of both the government and drivers play a crucial role in determining the effectiveness of emission reduction efforts. In the context of the carbon emission trading market for road freight transport, this paper developed an evolutionary game model between government and drivers. To identify the key factors influencing the strategic choices of government and drivers, the dynamic evolutionary paths of government and drivers under different scenarios were simulated. The results indicated that the initial willingness of the government and drivers does not significantly impact their final strategy choices. Additionally, the dynamic subsidy emerges as a critical factor influencing government decision-making. A higher carbon price and freight revenue are found to boost drivers’ incentives to reduce emissions. can stimulate the enthusiasm of drivers to reduce emissions. The findings of this paper offer theoretical insights into drivers’ emission reduction strategies and government regulation, and provide valuable references for the future development of China’s carbon emission trading market for road freight transport.
{"title":"Evolutionary game analysis between government and driver—based on the carbon emission trading market for road freight transport","authors":"Yanan Li , Yanyan Chen , Tao Feng , Yifei Gong","doi":"10.1080/15568318.2025.2570323","DOIUrl":"10.1080/15568318.2025.2570323","url":null,"abstract":"<div><div>The carbon emission trading system is considered as an effective tool for reducing emissions of road freight transport. As key participants in the carbon emission trading market for road freight transport, the strategies and behaviors of both the government and drivers play a crucial role in determining the effectiveness of emission reduction efforts. In the context of the carbon emission trading market for road freight transport, this paper developed an evolutionary game model between government and drivers. To identify the key factors influencing the strategic choices of government and drivers, the dynamic evolutionary paths of government and drivers under different scenarios were simulated. The results indicated that the initial willingness of the government and drivers does not significantly impact their final strategy choices. Additionally, the dynamic subsidy emerges as a critical factor influencing government decision-making. A higher carbon price and freight revenue are found to boost drivers’ incentives to reduce emissions. can stimulate the enthusiasm of drivers to reduce emissions. The findings of this paper offer theoretical insights into drivers’ emission reduction strategies and government regulation, and provide valuable references for the future development of China’s carbon emission trading market for road freight transport.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 2","pages":"Pages 239-250"},"PeriodicalIF":3.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098674","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 : 2025-12-02DOI: 10.1080/15568318.2025.2566755
Xiaodan Xu , Hung-Chia Yang , Haitam Laarabi , Cristian Poliziani , Alicia Birky , Kyungsoo Jeong , Hongyu Lu , Randall Guensler , C. Anna Spurlock
Commercial trucks are essential elements of the nation’s supply chain system. Meanwhile, intensive truck movements contribute significantly to system externalities, such as energy use and air pollution. However, collecting detailed fleet composition and distribution of operational patterns remains a barrier to accurately accounting for these impacts. The recently released 2021 US Vehicle Inventory and Use Survey (US VIUS) fills a critical gap in understanding commercial truck fleet distributions, their operations, and business constraints at the national scale. This study aims to understand the latest US commercial vehicle fleet composition and operational characteristics using 2021 US VIUS data and calibrate the fleet inputs in regulatory emission models to assess the potential emission implications of the VIUS-derived fleet composition. The emission rates for commercial trucks and default fleet composition are collected from the U.S. EPA’s MOtor Vehicle Emission Simulator (MOVES4). The 2021 US VIUS data is applied to improve fleet characteristics such as the long-haul fraction and the vehicle mileage accumulation rate. The study also investigates potential emission reduction benefits under various forecasted fleet electrification scenarios. The energy consumption and critical air pollutant rates by vehicle types are compared between MOVES4 and US VIUS fleets for both current and future scenarios to provide insights into the latest U.S. commercial vehicle fleet characteristics and their implications on energy and emissions. This study helps policymakers and practitioners advance the commercial fleet generation for emission models. It also deepens the understanding of the emission reduction potential of the commercial fleet under various fleet projections.
{"title":"Improving commercial truck fleet composition in emission modeling using 2021 US VIUS data","authors":"Xiaodan Xu , Hung-Chia Yang , Haitam Laarabi , Cristian Poliziani , Alicia Birky , Kyungsoo Jeong , Hongyu Lu , Randall Guensler , C. Anna Spurlock","doi":"10.1080/15568318.2025.2566755","DOIUrl":"10.1080/15568318.2025.2566755","url":null,"abstract":"<div><div>Commercial trucks are essential elements of the nation’s supply chain system. Meanwhile, intensive truck movements contribute significantly to system externalities, such as energy use and air pollution. However, collecting detailed fleet composition and distribution of operational patterns remains a barrier to accurately accounting for these impacts. The recently released 2021 US Vehicle Inventory and Use Survey (US VIUS) fills a critical gap in understanding commercial truck fleet distributions, their operations, and business constraints at the national scale. This study aims to understand the latest US commercial vehicle fleet composition and operational characteristics using 2021 US VIUS data and calibrate the fleet inputs in regulatory emission models to assess the potential emission implications of the VIUS-derived fleet composition. The emission rates for commercial trucks and default fleet composition are collected from the U.S. EPA’s MOtor Vehicle Emission Simulator (MOVES4). The 2021 US VIUS data is applied to improve fleet characteristics such as the long-haul fraction and the vehicle mileage accumulation rate. The study also investigates potential emission reduction benefits under various forecasted fleet electrification scenarios. The energy consumption and critical air pollutant rates by vehicle types are compared between MOVES4 and US VIUS fleets for both current and future scenarios to provide insights into the latest U.S. commercial vehicle fleet characteristics and their implications on energy and emissions. This study helps policymakers and practitioners advance the commercial fleet generation for emission models. It also deepens the understanding of the emission reduction potential of the commercial fleet under various fleet projections.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 12","pages":"Pages 1162-1180"},"PeriodicalIF":3.9,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645879","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 : 2025-12-02DOI: 10.1080/15568318.2025.2559981
Silvio Sticher , Hannes Wallimann , Noah Balthasar
We investigate the impact of a gamified experiment designed to promote sustainable mobility among students and staff members of a Swiss higher-education institution. Despite transportation being a major contributor to domestic CO2 emissions, achieving behavioral change remains challenging. In our two-month mobility competition, structured as a randomized controlled trial with a 33 factorial design, neither monetary incentives nor norm-based nudging significantly influences mobility behavior. Based on 195 competition participants and a total prize sum of CHF 3,150, our (null) results suggest that there is no “gamified quick fix” for making mobility substantially more sustainable. Also, we provide some lessons learned on how not to incentivize sustainable mobility by addressing potential shortcomings of our mobility competition.
{"title":"How (not) to incentivize sustainable mobility? Lessons from a swiss mobility competition","authors":"Silvio Sticher , Hannes Wallimann , Noah Balthasar","doi":"10.1080/15568318.2025.2559981","DOIUrl":"10.1080/15568318.2025.2559981","url":null,"abstract":"<div><div>We investigate the impact of a gamified experiment designed to promote sustainable mobility among students and staff members of a Swiss higher-education institution. Despite transportation being a major contributor to domestic CO<sub>2</sub> emissions, achieving behavioral change remains challenging. In our two-month mobility competition, structured as a randomized controlled trial with a 3<span><math><mrow><mo>×</mo></mrow></math></span>3 factorial design, neither monetary incentives nor norm-based nudging significantly influences mobility behavior. Based on 195 competition participants and a total prize sum of CHF 3,150, our (null) results suggest that there is no “gamified quick fix” for making mobility substantially more sustainable. Also, we provide some lessons learned on how <em>not</em> to incentivize sustainable mobility by addressing potential shortcomings of our mobility competition.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 12","pages":"Pages 1145-1161"},"PeriodicalIF":3.9,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645874","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 : 2025-12-02DOI: 10.1080/15568318.2025.2546033
Junbei Liu , Chengxiang Zhuge , Justin Hayse Chiwing G. Tang , Meng Meng , Jie Zhang
Vehicle-to-Grid (V2G) is an important technology for Electric Vehicles (EVs) and the power grid. This paper first provided insights into people’s attitudes toward three key benefits and two key drawbacks of V2G, using survey data collected in Beijing in 2020. Further, we incorporated the empirical findings into a spatial agent-based joint model of EV and V2G adoption to explore how changes in people’s attitudes toward the benefits and drawbacks could influence the adoption of V2G. The survey results suggested that people tended to be most concerned about battery degradation and least concerned about grid support. Our diffusion simulation suggests that mitigating BEV owners’ concerns about battery degradation and enhancing public awareness of the cost-saving potential of V2G can significantly increase the number of people will/may adopt V2G with a BEV and a PHEV, respectively. However, these attitudinal improvements do not lead to a notable rise in V2G adopters. Furthermore, V2G tended to diffuse more easily across Plug-in Hybrid EV (PHEV) owners than Battery EV (BEV) owners. The results are expected to be helpful for shaping policies to promote the adoption of V2G.
{"title":"Consumers’ attitudes toward benefits and drawbacks of vehicle-to-grid technology: An agent-based model","authors":"Junbei Liu , Chengxiang Zhuge , Justin Hayse Chiwing G. Tang , Meng Meng , Jie Zhang","doi":"10.1080/15568318.2025.2546033","DOIUrl":"10.1080/15568318.2025.2546033","url":null,"abstract":"<div><div>Vehicle-to-Grid (V2G) is an important technology for Electric Vehicles (EVs) and the power grid. This paper first provided insights into people’s attitudes toward three key benefits and two key drawbacks of V2G, using survey data collected in Beijing in 2020. Further, we incorporated the empirical findings into a spatial agent-based joint model of EV and V2G adoption to explore how changes in people’s attitudes toward the benefits and drawbacks could influence the adoption of V2G. The survey results suggested that people tended to be most concerned about battery degradation and least concerned about grid support. Our diffusion simulation suggests that mitigating BEV owners’ concerns about battery degradation and enhancing public awareness of the cost-saving potential of V2G can significantly increase the number of people will/may adopt V2G with a BEV and a PHEV, respectively. However, these attitudinal improvements do not lead to a notable rise in V2G adopters. Furthermore, V2G tended to diffuse more easily across Plug-in Hybrid EV (PHEV) owners than Battery EV (BEV) owners. The results are expected to be helpful for shaping policies to promote the adoption of V2G.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 12","pages":"Pages 1105-1120"},"PeriodicalIF":3.9,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645876","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 : 2025-12-02DOI: 10.1080/15568318.2025.2564851
Matt Grote , Andy Oakey , Aliaksei Pilko , Jakub Krol , Alex Blakesley , Tom Cherrett , James Scanlan , Bani Anvari , Antonio Martinez-Sykora
Interest is growing in the potential of using Uncrewed Aerial Vehicles (UAVs; known as drones) for logistics applications (i.e. last-mile payload delivery). Based on case studies of pathology specimens taken from patients at community clinics and transported to central laboratories for analysis, the effect on greenhouse gas emissions of using drones alongside more traditional transport modes (i.e. electric vans (e-vans) and bicycle couriers) in mixed-mode logistics systems was investigated for networks in locations with contrasting geographic characteristics. Results suggested that reductions in emissions of up to 83% were possible compared to e-van-only solutions. Notably, bicycle couriers made a considerable contribution to these reductions in some cases. In general, serving clinics that were remote and/or isolated tended to be where drones could offer a beneficial effect. Using drones was also associated with decreases in payload transit times (up to 76%) but increases in costs (up to 134%), raising a question regarding the true value of expedited delivery in a medical context.
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