Lawrence A. Palinkas , Michaela Liff , Alberto Campos , Anthony A. Martinez , Sandrah P. Eckel , Futu Chen , Jill Johnston , Wilma Franco , Erika Garcia
{"title":"A co-created, community-informed model for electric vehicle adoption in disadvantaged communities","authors":"Lawrence A. Palinkas , Michaela Liff , Alberto Campos , Anthony A. Martinez , Sandrah P. Eckel , Futu Chen , Jill Johnston , Wilma Franco , Erika Garcia","doi":"10.1016/j.trd.2025.104853","DOIUrl":"10.1016/j.trd.2025.104853","url":null,"abstract":"<div><div>To co-create a community-informed model of EV adoption, we conducted one English-speaking and two Spanish-speaking focus groups with 29 residents from six disadvantaged urban communities in Southeast Los Angeles. Participants were asked whether they owned an EV or hybrid vehicle, benefits and obstacles to EV ownership, and recommendations for making EV adoption feasible and acceptable. A Community Advisory Council participated in preparation of an interview guide and a review of findings. Social, environmental and personal benefits were cited as reasons for EV ownership but were considered secondary to cost, limited infrastructure (e.g., chargers), and lack of information. This information was used to generate a logic model listing adoption determinants, strategies, causal mechanisms and outcomes. A community informed model serves as a potential tool for promoting the adoption of EVs in disadvantaged communities and creating the conditions necessary for such adoption to be perceived by residents as acceptable, feasible, and appropriate.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104853"},"PeriodicalIF":7.3,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220944","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":"Allocation of responsibility for transportation carbon emissions based on economic benefits","authors":"Liang Zhao, Zhenggang He","doi":"10.1016/j.trd.2025.104850","DOIUrl":"10.1016/j.trd.2025.104850","url":null,"abstract":"<div><div>The reasonable allocation of carbon emission responsibility in the transportation sector is vital for developing effective low-carbon transportation policies. This study introduces the principle of Economic Benefit Sharing Responsibility (EBSR), which incorporates economic benefits into the allocation process. Using data from city-level and provincial-level MRIO tables and carbon emission statistics, it equitably allocates transportation carbon emissions across 309 Chinese cities. The findings show that EBSR effectively balances transportation carbon responsibilities by integrating the perspectives of production-based accounting (PBA) and consumption-based accounting (CBA). EBSR demonstrates that industrial hubs like Shanghai bear higher producer responsibilities, while consumption-driven cities like Beijing take on greater consumer responsibilities. Compared to PBA and CBA, EBSR provides a more equitable framework for allocating carbon responsibilities aligned with cities’ economic roles. Policymakers are encouraged to adopt EBSR to balance emission responsibility, guide elasticity-based policies, and advance equitable, low-carbon transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104850"},"PeriodicalIF":7.3,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220945","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":"Deep learning approach to predict microscopic pollutant emissions from mesoscopic traffic simulations","authors":"Abdelkader Dib , Milos Balac , Antonio Sciarretta","doi":"10.1016/j.trd.2025.104791","DOIUrl":"10.1016/j.trd.2025.104791","url":null,"abstract":"<div><div>Urban air pollution, primarily driven by vehicular emissions, remains a major concern for major European cities striving to meet air quality standards. Traditional traffic and emission models face challenges in large urban environments. Macroscopic models, due to their aggregate approach, often underestimate emissions, while microscopic models, although accurate, require extensive data and computational resources. This research introduces a novel methodology that couples a mesoscopic traffic model with a microscopic emission model by generating vehicle speed profiles based on deep learning techniques. The deep learning component produces instantaneous speed profiles from mesoscopic model outputs, which are essential for precise emission estimation using microscopic emission models. This approach improves the accuracy and granularity of road traffic emission estimation, capturing local emission peaks. Applied to the Île-de-France region, home to over 12 million people, the method demonstrates its scalability while maintaining high precision, providing a robust tool for managing urban air quality.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104791"},"PeriodicalIF":7.3,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212407","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":"Perceived accessibility and life satisfaction: the mediating role of activity participation?","authors":"Milad Mehdizadeh , Maarten Kroesen , Jonas De Vos","doi":"10.1016/j.trd.2025.104848","DOIUrl":"10.1016/j.trd.2025.104848","url":null,"abstract":"<div><div>A lack of accessibility can lead to social exclusion and lower quality of life. While research has shown that objective accessibility measures influence well-being, few studies have examined the role of perceived accessibility. In this study, we test the notion that activity participation might play a mediating role in the relationship between perceived accessibility and well-being. In addition, we hypothesize that perceived accessibility may also directly influence well-being, assuming that a sense of residing in an accessible place has intrinsic value to people. Using data from the 2022 Netherlands Mobility Panel (n = 4,222), we test these chain relationships: perceived accessibility-activity participation-life satisfaction. The results of the structural equation modeling show that higher perceived accessibility by cars and bicycles directly enhances life satisfaction, while perceived accessibility by walking influences life satisfaction only indirectly, through increased activity participation. Accessibility by public transport, however, has no direct/indirect significant effect on well-being.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104848"},"PeriodicalIF":7.3,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212457","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}
Xinhao Cui , Bo Li , Siyue Zhang , Ziguang Ji , Shitao Wang , Rui Luo , Yi Ren , Yiyong Xiao
{"title":"Resilience-based restoration sequence optimization of disrupted transportation networks: A novel matheuristic approach","authors":"Xinhao Cui , Bo Li , Siyue Zhang , Ziguang Ji , Shitao Wang , Rui Luo , Yi Ren , Yiyong Xiao","doi":"10.1016/j.trd.2025.104834","DOIUrl":"10.1016/j.trd.2025.104834","url":null,"abstract":"<div><div>Transportation networks are crucial components of modern infrastructure but are highly vulnerable to disruptions caused by frequent, unpredictable disasters, such as earthquakes and rainstorms, which severely compromise connectivity and mobility. Developing resilient restoration plans is thus essential for minimizing disruption impacts and expediting recovery. However, existing approaches primarily depend on experience-driven or importance-based methods, which struggle to identify critical disrupted links and fail to provide optimal sequences. To tackle these challenges, this study proposes a general sequencing framework featuring multi-stage restoration modes and formulates an optimization problem as a mixed-integer nonlinear programming model. To improve computational tractability, a bipartition-based simplification strategy is introduced. Additionally, a novel matheuristic approach combining heuristic flexibility with mathematical programming precision is developed, enabling effective decision-making across diverse scenarios. The framework is validated through the Tongzhou transportation network, demonstrating its robustness and efficiency under varying disruption scenarios, offering valuable insights into resilience-based restoration.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104834"},"PeriodicalIF":7.3,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242926","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":"Decision pathways for road freight decarbonization","authors":"Phil Churchman, Thijs Dekker, Kate Pangbourne","doi":"10.1016/j.trd.2025.104831","DOIUrl":"10.1016/j.trd.2025.104831","url":null,"abstract":"<div><div>The road freight system is complex, with many system dependencies. These dependencies mean that individual actors are often unable to take radical decarbonization action alone, and system-level decisions are required. Decision dependencies mean decision pathways are needed specifying key decisions and decision sequencing.</div><div>Five decision pathway workshops were held with mixed groups of industry actors, policymakers and experts. Decarbonization barriers, enablers and decisions were identified and dependencies between these specified. A new software tool “Pathplotter” was used to facilitate pathway definition and analysis, and workshop commentary was qualitatively analyzed using NVivo.</div><div>It was found that it is possible for mixed actor groups to define decision pathways, and requirements to operationalize this approach are identified. While techno-economic factors remain important, most barriers, enablers and required decisions are found to be socio-technical, political or related to decision governance. This reinforces the need for more research into these understudied transition aspects.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104831"},"PeriodicalIF":7.3,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168799","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":"Criticality-vulnerability assessment of regional pavement infrastructure network to future heat stress","authors":"Chao Wang, Jiayu Gu, Guanyu Gong","doi":"10.1016/j.trd.2025.104828","DOIUrl":"10.1016/j.trd.2025.104828","url":null,"abstract":"<div><div>The climate change affects the infrastructure system in a warming world. This paper presents a criticality-vulnerability assessment of the pavement network in Beijing-Tianjin-Hebei (BTH) region to future heat stress. The high-speed road (HSR) networks, including the motorway and trunk roads, are analyzed for this purpose with the CMIP6 climate model under SSP2-4.5 and SSP5-8.5 scenarios. Here we demonstrate that the growing heat exposure of HSR increases its rutting vulnerability in 21st century, especially after mid-century. We observe a positive relationship between the pavement exposure to cumulative heat intensity and the pavement rutting, which is independent of future pavement life-cycle and SSP emission scenario. The motorway shows better rutting resistance than the trunk under the same heat exposure. Finally, a criticality-vulnerability matrix is established based on HSR travel efficiency. Our results illustrate the maintenance priority of HSR pavement system under warming climate especially for the local municipalities that have fewer resources.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104828"},"PeriodicalIF":7.3,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168798","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":"Electric vehicles: How do preferences differ for additional versus replacement household vehicles?","authors":"Felita Ong , Sk. Md. Mashrur , Moataz Mohamed , Khandker Nurul Habib","doi":"10.1016/j.trd.2025.104833","DOIUrl":"10.1016/j.trd.2025.104833","url":null,"abstract":"<div><div>The electrification of vehicles is often a significant component of global efforts to decarbonize transportation. To promote EV adoption, there is a need to understand the factors influencing it and how these factors vary across the population. While many have studied this topic, few (if any) have distinguished the factors influencing EV adoption based on whether the EV is replacing an internal combustion engine vehicle (ICEV) or adding to a household’s fleet. Using a nationwide survey, this study examines how preferences towards hybrid, battery electric, and plug-in hybrid vehicles vary based on transaction type (i.e., to replace vs. acquire a car). Model results highlight differences in the effect and magnitude of factors influencing the propensity to choose EVs between households replacing an ICEV and expanding their vehicle fleet. However, regardless of transaction type, homeowners, younger adults, and individuals with higher levels of educational attainment are more likely to adopt EVs.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104833"},"PeriodicalIF":7.3,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144146983","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":"Spatial heterogeneity in human mobility responses to London’s ultra-low emission zone expansion","authors":"Yikang Wang, Chen Zhong","doi":"10.1016/j.trd.2025.104810","DOIUrl":"10.1016/j.trd.2025.104810","url":null,"abstract":"<div><div>The Ultra Low Emission Zone (ULEZ) aims to improve air quality by restricting polluting vehicles. While previous relevant research focused on air quality and vehicle counts, its impact on human mobility and socio-spatial inequalities remains underexplored. This study addresses this gap by quantifying the causal impact on human mobility using an extended Interrupted Time Series (ITS) model and large-scale anonymised mobile app data. We observed an initial sudden decrease, followed by a gradual recovery of travel in only 4–8 weeks across all zones. Overall, the change of longer travel distances and commute durations suggests slower travel and a shift to sustainable transport. However, the impact varied significantly across geographical areas and socio-demographic groups. Outer London experienced the most abrupt changes due to car dependence, with spatial spillover effects to surrounding areas. These results highlight the need for targeted policies to ensure an equitable transition to sustainable urban transport.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104810"},"PeriodicalIF":7.3,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138762","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":"Assessing the cold weather impact on battery electric transit buses","authors":"Jintao Gu, Quanhuan Liao, K. Max Zhang","doi":"10.1016/j.trd.2025.104809","DOIUrl":"10.1016/j.trd.2025.104809","url":null,"abstract":"<div><div>This study investigated the impact of cold weather on the energy performance of battery-electric buses (BEBs), using a real-world dataset from seven BEBs operating over two years across complex 41 routes in Tompkins County, New York. Novel Optimal Temperature Zone (OTZ) baseline models were developed to estimate BEB performance under ideal temperatures, and a comprehensive assessment of cold weather effects was conducted. Findings showed that the total energy consumed and regenerated increased by an average of 48.0 % in the −4 °C to 0 °C range, compared to the OTZ baseline prediction for the same trips, where the OTZ is defined as 16 °C to 30 °C. Across the broader –12 °C to 10 °C range, the average increase was 28.6 %. We elucidated the roles of different vehicle components (e.g., the charging efficiency of regenerative braking, battery heating, HVAC systems) in the impact of cold weather on energy performance, considering urban vs. rural differences and operating conditions. Recommendations were provided for BEB operators and manufacturers to improve efficiency in cold climates, and vital insights were offered for policymakers to develop effective transit electrification strategies in cold weather.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104809"},"PeriodicalIF":7.3,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138761","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}