{"title":"Impact of electric vehicle downsizing on shared mobility considering externalities","authors":"Li Li , Yuling Shi , Dianchao Lin , Yongliang Lu","doi":"10.1016/j.trd.2025.104794","DOIUrl":"10.1016/j.trd.2025.104794","url":null,"abstract":"<div><div>The global trend of vehicle electrification has led to the rise of affordable, compact models. This study examines the impact of vehicle downsizing on car-sharing systems using agent-based simulations. We present a vehicle dispatching model that matches vehicles to demand based on size and ride-splitting rules. To explore how vehicle size affects traffic operations, we employ the macroscopic fundamental diagram. We focus on two-seat vehicles as representatives of small models and the shared automated electric vehicle system as a prototype for effective car-sharing. Utilizing the Manhattan network, we design scenarios to assess the performance of dispatching models, optimal fleet sizes, ride-splitting effects, and the influence of compact vehicles on customer experience and social benefits. Results show that substituting standard five-seat vehicles with 80% two-seat vehicles markedly improves performance across various metrics, highlighting the significant potential of small-sized vehicles in future car-sharing systems. Sensitivity analysis confirm the robustness of our findings.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104794"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134508","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}
Yingjie Guo , Alexander Y. Bigazzi , Xiaohong Chen
{"title":"Potential greenhouse gas emission reduction from active transportation: Comparing travel behavior patterns","authors":"Yingjie Guo , Alexander Y. Bigazzi , Xiaohong Chen","doi":"10.1016/j.trd.2025.104835","DOIUrl":"10.1016/j.trd.2025.104835","url":null,"abstract":"<div><div>Most research on active travel’s greenhouse gas (GHG) impacts focuses exclusively on mode shift, without examining accompanying changes in the frequency and length of trips. This study investigates the potential reduction of total GHG emissions from the expanded use of active transportation within daily travel patterns. Three scenarios are designed to represent different scopes of travel pattern changes, including changes in travel mode, the number of daily trips, and trip lengths. For each scenario, active and inactive travel mode users are compared using propensity score matching applied to the United States National Household Travel Survey data. A generalized mixed-effect model is employed to estimate the impact of increasing use of active transportation on total GHG emissions from travel. The results show that for each additional mile of daily active travel, an individual’s GHG emissions from travel are reduced by 37 % (176 g CO<sub>2</sub>e) based only on mode shift (with fixed daily trips), by 48 % (861 g CO<sub>2</sub>e) if trip lengths are also allowed to change (with a fixed number of daily trips), and by 51 % (972 g CO<sub>2</sub>e) with no constraint on daily trips. Mode shift primarily affects the shortest (and lowest-emitting) trips, so mode shift alone represents only 1/5th of the potential GHG benefits of increasing active transportation in a way that also reduces trip lengths through destination changes. This study offers a macro-level understanding of the realistic GHG reduction of expanding active transportation and provides a novel analytical framework to evaluate travel behavior changes using cross-sectional data.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104835"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138760","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}
Seyedsoheil Sharifiasl , Subham Kharel , Qisheng Pan , Jianling Li
{"title":"Assessing the impacts of transit level-of-service and reliability on modal split","authors":"Seyedsoheil Sharifiasl , Subham Kharel , Qisheng Pan , Jianling Li","doi":"10.1016/j.trd.2025.104826","DOIUrl":"10.1016/j.trd.2025.104826","url":null,"abstract":"<div><div>Implementing mobility services for low-income groups is crucial for promoting equity and sustainability in U.S. cities, where access to opportunities is often unequal. Planning a multi-modal system that meets the needs of marginalized populations while encouraging drivers to shift to transit services requires an understanding of the difference between user groups in the effects of transit service quality and reliability on model split. This study employs machine learning techniques to model the commuting mode choices of low-income and general users, using data for the Dallas/Fort Worth metropolitan area over 15 years. By analyzing built environment, transportation, socio-demographics, and transit level-of-service variables, we find that low-income user groups rely more on public transit when it offers greater coverage and accessibility. Meanwhile, the general user population tends to favor single-mode transit services with fewer transfers and shorter waiting times. Penalty time has a greater impact on low-income individuals, while built environment factors have a stronger effect on the general population. Our results provide insights into developing equitable, multimodal transportation systems.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104826"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134509","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":"How to calculate CO2 emissions and emission reduction effectiveness of underground logistics systems using the life cycle assessment","authors":"Lingxiang Wei , Dongjun Guo , Junyuan Ji , Hao Zuo , Lining Zheng , Zhilong Chen , Yancui Gao","doi":"10.1016/j.trd.2025.104832","DOIUrl":"10.1016/j.trd.2025.104832","url":null,"abstract":"<div><div>Quantifying CO<sub>2</sub> emissions and the reduction efficiency of an underground logistics system (ULS) is crucial for achieving a carbon–neutral city. We constructed a quantitative model based on the life cycle assessment and system dynamics, and verified it using a case study in Wuhan City. The results show that: (i) The constructed model can calculate the CO<sub>2</sub> emissions of the ULS, and demonstrated that the largest CO<sub>2</sub> emissions of the four stages are building material production; further, the stages of ULS operation demonstrate CO<sub>2</sub> emission reduction potential; (ii) the life cycle CO<sub>2</sub> emission reduction of ULS is negatively correlated with the size of the ULS and energy consumption of ULS carriers, and positively correlated with the freight volume of ULS. These findings provide theoretical support and data reference for our study of urban logistics decarbonization and achieving carbon neutrality in the fields of urban transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104832"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134510","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}
Meiting Tu , Xiyang Chu , Tongtong Shi , Dominique Gruyer , Ye Li
{"title":"Potential of scheduling shared autonomous ride-hailing in intelligent photovoltaic microgrids","authors":"Meiting Tu , Xiyang Chu , Tongtong Shi , Dominique Gruyer , Ye Li","doi":"10.1016/j.trd.2025.104822","DOIUrl":"10.1016/j.trd.2025.104822","url":null,"abstract":"<div><div>The integration of renewable energy, particularly solar power, has resulted in the “duck curve,” characterized by midday surpluses and evening demand peaks. The rise of electric vehicles (EVs) has further exacerbated this issue. However, few studies have optimized the charging and scheduling strategies of electric ride-hailing services in coordination with green energy. This study selects a typical research scenario of SAEVs (Shared Autonomous Electric Vehicles) and proposes a framework that incorporates dynamic charging and ride-hailing dispatching, with a focus on the impact of SAEVs on the power grid, photovoltaic power companies, and ride-hailing platforms under varying regional demands and weather conditions. The results demonstrate that photovoltaic utilization and total platform benefits can be increased by 32.8% and 6.62%, while achieving a peak-shaving and valley-filling benefit of 8.82% on sunny days. These findings underscore the potential of coordinated EV dispatching for grid stability and provide valuable insights for carbon neutrality strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104822"},"PeriodicalIF":7.3,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124202","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":"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}