{"title":"Funding sustainable shipping: A Fuzzy Cognitive Mapping approach to the Poseidon Principles","authors":"Omer Soner","doi":"10.1016/j.trd.2025.104824","DOIUrl":"10.1016/j.trd.2025.104824","url":null,"abstract":"<div><div>The shipping industry is a major contributor to global greenhouse gas emissions, posing a significant challenge to achieving the International Maritime Organization’s 2050 decarbonization targets. The Poseidon Principles provide a framework for financial institutions to align their portfolios with these climate goals, using metrics like the Annual Efficiency Ratio and Carbon Intensity Indicator. However, misalignments between these climate metrics and financial systems create barriers to accessing capital, hindering investments in low-carbon technologies. This study applies Fuzzy Cognitive Mapping to examine the complex relationships between environmental performance, regulatory compliance, and financial accessibility in the maritime industry. The Fuzzy Cognitive Mapping model identifies key leverage points for improving access to capital, such as enhancing energy efficiency, adopting innovative technologies, and fostering policy interventions like carbon pricing. Simulations analyses provide actionable insights, offering a comprehensive framework for overcoming funding challenges and supporting sustainable, low-carbon maritime transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104824"},"PeriodicalIF":7.3,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wan Li , Meiyu (Melrose) Pan , Chieh (Ross) Wang , Pingen Chen
{"title":"Impacts and emerging research opportunities in Vehicle-Grid Integration for transportation: A review","authors":"Wan Li , Meiyu (Melrose) Pan , Chieh (Ross) Wang , Pingen Chen","doi":"10.1016/j.trd.2025.104802","DOIUrl":"10.1016/j.trd.2025.104802","url":null,"abstract":"<div><div>This review provides a comprehensive examination of Vehicle-Grid Integration (VGI) technologies and their impacts on transportation systems, with a particular emphasis on the transportation-energy nexus. It systematically explores how VGI affects key transportation applications such as charging infrastructure planning, electric vehicle (EV) routing, smart charging coordination, shared mobility, and dynamic pricing. By synthesizing recent literature from both transportation and energy systems perspectives, this study highlights how advanced methodologies, such as reinforcement learning, game theory, and optimization techniques, are used to model the complex interactions between EVs, mobility patterns, and distributed energy systems. The review also identifies critical challenges, including behavioral factors, data limitations, and system scalability. Drawing on these insights, the paper outlines emerging research opportunities to support the design of integrated, resilient, and user-centric VGI solutions that advance sustainable mobility and energy system efficiency.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104802"},"PeriodicalIF":7.3,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kaihan Zhang , Qiwei Song , Haoran Ma , Waishan Qiu , Meikang Li , Inhi Kim
{"title":"Synergistic role of audio-visual perceptions in promoting bikeshare for active travel","authors":"Kaihan Zhang , Qiwei Song , Haoran Ma , Waishan Qiu , Meikang Li , Inhi Kim","doi":"10.1016/j.trd.2025.104806","DOIUrl":"10.1016/j.trd.2025.104806","url":null,"abstract":"<div><div>This study examines factors beyond macroscale built environments (BE) influencing cycling behavior, integrating both microscale visual and auditory perceptions, especially soundscapes, while their impacts on cycling have not been explicitly investigated. Leveraging massive bikeshare trip data in Shenzhen, China, this study employs spatial explainable machine learning to uncover the associations among these three dimensions and cycling behavior using a multi-scale analytical framework. The results show that: (1) Macroscale BE remains dominant, while micro-scale soundscapes outweigh visual perceptions in explaining cycling usage. (2) Both perceived streetscape and soundscape indicators exhibit significant nonlinear effects on cycling behavior. (3) Synergistic interactions between visual streetscape and soundscape are observed, where maintaining audio-visual consistency (e.g., high perceived safety with high natural sounds perception) can positively affect cycling more substantially. Our findings encourage planners to prioritize strategic micro-level modifications targeting perceived street visual and auditory aspects over conventional macroscale BE interventions as cost-effective alternatives.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104806"},"PeriodicalIF":7.3,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Zhang , Yulong Pei , Jianqi Sun , Yuanwen Lai , Shuyi Wang , Said M. Easa
{"title":"Achieving bus electrification: Strategy for bus fleet replacement in cold region","authors":"Jie Zhang , Yulong Pei , Jianqi Sun , Yuanwen Lai , Shuyi Wang , Said M. Easa","doi":"10.1016/j.trd.2025.104825","DOIUrl":"10.1016/j.trd.2025.104825","url":null,"abstract":"<div><div>To achieve carbon neutrality, many regions have set electrification targets for bus fleets. However, the impact of low temperatures on electric bus (EB) operations is often overlooked, leading to operational difficulties. To this end, we introduce an EB replacement discount coefficient to quantify reduced range and slower charging under low-temperature conditions and develop a Bus Fleet Replacement (BFR) model for cold regions. A case study using typical cold-region data is conducted. Finally, we discuss the effects of individual and combined policies, and parameter variations on the electrification process. The results indicate: i) replacing buses with electric ones in cold regions does not significantly increase the life cycle costs; ii) EB price subsidies and annual operational subsidies effectively accelerate electrification, and most policy combinations further reduce social costs; iii) the model can adjust replacement strategies based on case data and parameter changes. These findings support optimal BFR strategies in cold regions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104825"},"PeriodicalIF":7.3,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wentian Xu , Fangyuan Zheng , Zhouzhi Li , Junxia Gao , Hui Tong , Haomiao Niu , Bin Sun , Zhaoyang Fan , Lin Wu , Hongjun Mao
{"title":"Multi-perspective analysis of long-term vehicle emissions under intensive policy updates in China","authors":"Wentian Xu , Fangyuan Zheng , Zhouzhi Li , Junxia Gao , Hui Tong , Haomiao Niu , Bin Sun , Zhaoyang Fan , Lin Wu , Hongjun Mao","doi":"10.1016/j.trd.2025.104808","DOIUrl":"10.1016/j.trd.2025.104808","url":null,"abstract":"<div><div>China has implemented stringent emission control policies for passenger cars and trucks to mitigate vehicle exhaust emissions. Quantifying the environmental impact of policies requires the continuous updating and refinement of emission inventories. This study thus constructed long-term (2010–2021) emission inventory by vehicle type, fuel type and emission standard, considering regional differences and incorporating demographic and economic factors. Key findings included annual reductions in CO, HC, and PM<sub>2.5</sub> emissions by 2.9%, 4.5%, and 4.9%, respectively, while CO<sub>2</sub> and NOx emissions increased by 9% and 1.9%. Over 40% emissions were concentrated in six eastern provinces, which also achieved more pronounced emission reduction. Meanwhile, stronger economic support enabled lower emission while meeting higher transportation demand. Conversely, northeastern and northwestern provinces required greater attention to cope with adverse environmental impacts. Therefore, it is necessary to promote public transportation for eastern provinces and control vehicle growth for other provinces.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104808"},"PeriodicalIF":7.3,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sören Paul Burghardt , Sara Momen , Yousef Maknoon , Shadi Sharif Azadeh , Kuldeep Kavta
{"title":"Behavioral impact of range anxiety and unlock fees on shared electric-moped usage","authors":"Sören Paul Burghardt , Sara Momen , Yousef Maknoon , Shadi Sharif Azadeh , Kuldeep Kavta","doi":"10.1016/j.trd.2025.104772","DOIUrl":"10.1016/j.trd.2025.104772","url":null,"abstract":"<div><div>The evolving field of electric moped sharing systems is shaped by various determinants influencing user preferences, including range anxiety, pricing strategies, and regulatory changes. Utilizing a stated preference approach with a hybrid choice model, this research explores how these factors, along with attitudinal constructs, impact user decisions. The findings reveal that remaining driving range plays a critical role, with significant individual variability in its sensitivity, while perceived range anxiety did not significantly influence choices. Recent changes in helmet regulations have shifted preferences towards faster vehicles. Furthermore, dynamic pricing strategies, such as adjusting ride or unlock fees, can incentivize the use of less desirable vehicles with lower battery range or aid in user-based relocation. Nevertheless, low-range vehicles are less likely to be chosen, even with incentives. These insights provide valuable guidance for operators of electric moped sharing system to improve fleet management and optimize user satisfaction through strategic pricing and battery management.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104772"},"PeriodicalIF":7.3,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards equitable, smart, and sustainable urban mobility: Governance archetypes and their relations","authors":"Katharina Burger","doi":"10.1016/j.trd.2025.104797","DOIUrl":"10.1016/j.trd.2025.104797","url":null,"abstract":"<div><div>This study examines expert perceptions on achieving equitable, smart, and sustainable urban mobility and transport development. Through qualitative interview analysis, we identify five archetypes with distinct core values, causal attributions, and rationales: the Institutional Architect, Behaviour & Culture Challenger, Equity Champion, Resource Optimiser, and Inclusive Mobiliser. We propose a framework to consider these archetypes relationally along the dimensions of ‘orientation’ (system | people) and ‘approach’ (incremental | transformative). We discuss the implications of our findings, highlighting their potential in diverse, pluralistic decision-making environments characteristic of mobility and transport planning. Our study contributes a framework and conceptual repertoire of archetypes to support constructive decision-making in complex contexts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104797"},"PeriodicalIF":7.3,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuliang Zhang , Yifan Chen , Yichen Wang , Chengcheng Yu , Xiqun (Michael) Chen , Der-Horng Lee
{"title":"Understanding spatial differences in CO2 emissions between passenger and freight transportation","authors":"Yuliang Zhang , Yifan Chen , Yichen Wang , Chengcheng Yu , Xiqun (Michael) Chen , Der-Horng Lee","doi":"10.1016/j.trd.2025.104800","DOIUrl":"10.1016/j.trd.2025.104800","url":null,"abstract":"<div><div>Road transport represents a significant source of CO<sub>2</sub> emissions, presenting challenges to climate change mitigation. This research conducts a comparative examination of CO<sub>2</sub> emissions associated with passenger and freight transportation across U.S. counties, highlighting differences in emission mechanisms from a nationwide perspective by combining Gradient Boosting Decision Trees and interpretable machine learning methods. Distinct spatial patterns are identified: passenger emissions concentrate in densely populated metropolitan areas, while freight emissions align with freight corridors. Our findings reveal shared and unique influences of socioeconomic factors, road networks, and industrial composition on passenger and freight emissions. Population density affects passenger emissions more strongly, while industrial activities and the average node degree of the road network have a greater impact on freight emissions. These insights are crucial for developing region-targeted CO<sub>2</sub> reduction strategies and informing policy changes to mitigate the environmental effects by addressing the specific needs of each transportation sector.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104800"},"PeriodicalIF":7.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143946538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear and Spatially-Varying effects of the built environment on dockless Bike-Sharing usage","authors":"Ke Song , Mi Diao","doi":"10.1016/j.trd.2025.104807","DOIUrl":"10.1016/j.trd.2025.104807","url":null,"abstract":"<div><div>This study examines the nonlinear and spatially-varying effects of the built environment (BE) on dockless bike-sharing (DLBS) usage in Shanghai, China. By combining a machine learning model, eXtreme Gradient Boosting, with a local model-agnostic interpretation method, SHapley Additive exPlannations, we explore the intricate heterogeneity in the relationship between the BE and DLBS usage at fine-grained grid-cell scale. Our analysis shows that the relationship varies significantly across space and varying ranges of BE features. Notably, we find significant threshold effects: the positive associations between high-density-related BE features and DLBS usage may level off or turn negative beyond certain thresholds. These minimal or even adverse effects are particularly evident in the urban core. Furthermore, we apply hierarchical cluster analysis to identify six clusters of grid cells with distinct BE-DLBS patterns, providing a basis for context-sensitive policies to promote cycling. Tailored strategies for each cluster are also discussed.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104807"},"PeriodicalIF":7.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qinyu Cui , Chaoshuo Huang , Kaihan Zhang , Chao Gao , Tianshun Gu , Entong Ke , Peiqun Lin
{"title":"Weather effects on highway travel volume: Electric vs. Fuel vehicles","authors":"Qinyu Cui , Chaoshuo Huang , Kaihan Zhang , Chao Gao , Tianshun Gu , Entong Ke , Peiqun Lin","doi":"10.1016/j.trd.2025.104805","DOIUrl":"10.1016/j.trd.2025.104805","url":null,"abstract":"<div><div>This study investigates weather impacts on the traffic volume of electric vehicles (EVs) and internal combustion engine vehicles (ICEVs) during highway travel, addressing a crucial gap in understanding EV performance for long-distance trips. Analyzing one-year daily traffic data from Guangdong, China, using Random Forest and SHapley Additive exPlanations (SHAP) methods, the research reveals that EVs are more weather-sensitive than ICEVs for trips over 200 km. But for trips under 200 km, their sensitivity levels are nearly identical. Key weather factors, excluding wind speed, similarly affect both vehicle types, with origin–destination (O-D) weather differences exerting greater influence than origin conditions alone. These findings suggest EV highway travel behavior is largely comparable to ICEVs under various weather conditions, potentially alleviating consumer concerns. This study also highlights the value of providing destination-specific weather information and the potential of intelligent vehicle systems to support long-distance EV travel.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104805"},"PeriodicalIF":7.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143946537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}