Shuhua Hong,Tianjia Yang,Yang Song,Xianbiao (XB) Hu
{"title":"Corrigendum to “Public or private? A unified demand–supply coupled framework for EV infrastructure investment” [Trans. Res. Part D: Trans. Environ. 159 (2026) 105501]","authors":"Shuhua Hong,Tianjia Yang,Yang Song,Xianbiao (XB) Hu","doi":"10.1016/j.trd.2026.105604","DOIUrl":"https://doi.org/10.1016/j.trd.2026.105604","url":null,"abstract":"","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"15 1","pages":"105604"},"PeriodicalIF":7.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893611","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":"Sustainable transport in the climate-change era","authors":"Linchuan Yang,ChengHe Guan,Brian Caulfield","doi":"10.1016/j.trd.2026.105607","DOIUrl":"https://doi.org/10.1016/j.trd.2026.105607","url":null,"abstract":"","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"351 1","pages":"105607"},"PeriodicalIF":7.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893612","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}
Anne Magdelene Syré, Abhishek Gupta, Dietmar Göhlich
{"title":"A comprehensive methodology for the assessment of decarbonization strategies in transportation","authors":"Anne Magdelene Syré, Abhishek Gupta, Dietmar Göhlich","doi":"10.1016/j.trd.2026.105255","DOIUrl":"10.1016/j.trd.2026.105255","url":null,"abstract":"<div><div>Among the challenges to decarbonize the transport sector are inconsistent methodologies and unclear emission scopes. We present a comprehensive and transparent methodology that integrates life cycle assessment and total cost of ownership to calculate the levelized cost of carbon abatement as a harmonized metric. Through methodological extensions such as the emission saving potential indicator and the emission and cost delta diagram and by incorporating key factors such as infrastructure needs, vehicle characteristics, and energy supply pathways, the methodology enables consistent comparison of technological and behavioral decarbonization strategies. The methodology is applied to a case study on the German heavy-duty long-haul transport, assessing four decarbonization scenarios involving battery-electric and fuel-cell-electric vehicles. Results show that battery-electric vehicles using electric road systems are most economically feasible and have the lowest global warming potential with 62% emission savings compared to the diesel baseline. The approach supports transparent, data-driven policymaking for effective climate-aligned transport strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105255"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152663","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":"Feasibility assessment of zero-emission medium and heavy-duty vehicles in fleet operations","authors":"Qi Yang , Kai Huang , Moataz Mohamed","doi":"10.1016/j.trd.2026.105243","DOIUrl":"10.1016/j.trd.2026.105243","url":null,"abstract":"<div><div>The decarbonization of medium- and heavy-duty vehicle (MHDV<span><span><sup>1</sup></span></span>) fleets has prompted growing interests in zero-emission and alternative fuel technologies. Despite increasing deployments, the operational suitability of these technologies varies significantly across applications. Using real-world vehicle operational data and representative drive cycles, this paper models and simulates four major powertrain types; battery electric (BEV), fuel cell electric (FCEV), compressed natural gas (CNG), and diesel across vehicle classes 2b to 8, within the Autonomie simulation framework. Energy consumption, CO<sub>2</sub> emissions, and total cost of ownership (TCO) are examined based on simulation results. BEVs consistently demonstrate lower energy use and TCO, while FCEVs achieve meaningful emission reductions but remain limited by energy costs. A feasibility assessment, incorporating charging constraints and various operational profiles, highlights the practical challenges of BEV deployment in specific duty cycles. These results provide a quantitative basis to support technology selection and fleet transition planning under diverse operational scenarios.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105243"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110243","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}
Shao-Chao Ma , Ruoran Ma , Xing Yao , Ying Fan , Hongyu Pu , Bowen Xiao , Chenhao Dai
{"title":"Promoting private EV charger sharing: Willingness to pay and grid integration","authors":"Shao-Chao Ma , Ruoran Ma , Xing Yao , Ying Fan , Hongyu Pu , Bowen Xiao , Chenhao Dai","doi":"10.1016/j.trd.2026.105240","DOIUrl":"10.1016/j.trd.2026.105240","url":null,"abstract":"<div><div>Charging infrastructure scarcity remains a major barrier to electric vehicle (EV) adoption, with global vehicle-to-charger ratios consistently falling short of policy targets. Private chargers, which are often underutilized, present significant sharing potential to relieve infrastructure shortages. This study explores private charger sharing (PCS) by quantifying Beijing EV owners’ willingness to pay (WTP) through a discrete choice experiment involving 1,209 respondents and by assessing its implications for grid operation. The findings show that WTP for shared chargers exceeds that for private ones across all time periods, with urban residents and private car owners demonstrating stronger preferences. Simulation results indicate that time-of-use pricing can reduce annual grid operating costs by ¥91.59 million by flattening load curves, improving peak-valley balance, and enhancing renewable energy integration. PCS, particularly when combined with smart scheduling and vehicle-to-grid functions, is regarded as a promising solution.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105240"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110244","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}
Wu Bai , Jun Liu , Qingying Lai , Liujiang Kang , Yu Liu
{"title":"Towards sustainable maglev operations: eco-driving via position-dependent motor characteristics","authors":"Wu Bai , Jun Liu , Qingying Lai , Liujiang Kang , Yu Liu","doi":"10.1016/j.trd.2026.105257","DOIUrl":"10.1016/j.trd.2026.105257","url":null,"abstract":"<div><div>Maglev systems represent a promising option for sustainable, low-carbon, high-speed mobility, yet energy-efficient operation requires train speed profile under real-world constraints. Existing studies often neglect the spatially varying traction characteristics of long-stator linear synchronous motors, limiting deployability. This paper proposes a simulation-based optimization framework with two innovations: (i) virtual speed limits that map high-dimensional control into operationally interpretable variables; and (ii) a hybrid temporal-spatial train speed profile simulation generation algorithm that reduces discretization error compared with single-domain discretization. The model enforces position-dependent traction, substation limits, and 2-D speed protection constraints, etc. Numerical experiments using parameters from China Railway Rolling Stock Corporation demonstrate 3–9% lower electrical traction energy and about 96% shorter runtime than dynamic programming benchmark. Results also reveal a systematic 7.7–11.0% gap between mechanical and electrical traction energy estimates. Sensitivity analyses quantify how load factors and interstation running times shape total energy, informing energy-aware timetable planning for operators.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105257"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191345","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}
Qihui Li , Nan Zhao , Beatriz Martinez-Pastor , Páraic Carroll
{"title":"Equitable rural electric vehicle charging through peer-to-peer curbside networks","authors":"Qihui Li , Nan Zhao , Beatriz Martinez-Pastor , Páraic Carroll","doi":"10.1016/j.trd.2026.105268","DOIUrl":"10.1016/j.trd.2026.105268","url":null,"abstract":"<div><div>Rural regions face persistent barriers to electric vehicle (EV) adoption due to limited charging accessibility. This study develops a novel framework that integrates agent-based and stochastic simulation with equity-oriented accessibility metrics to evaluate the potential of peer-to-peer (P2P) charger sharing in enhancing rural EV charging access. The framework models individual travel and charging behaviours and assesses P2P effectiveness across varying EV penetration and participation scenarios using spatial and temporal accessibility indicators. Application to a rural Irish town shows that charging accessibility increases with P2P participation, but with smaller marginal gains beyond 30–60%. The analysis identifies priority areas and households with high suitability for P2P participation, providing insights for setting context-specific accessibility targets, establishing participation benchmarks, and designing differentiated incentive schemes. The framework has the potential to support equitable expansion of P2P charging networks in sparsely populated, car-dependent rural regions across European contexts with similar characteristics.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105268"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191344","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}
Jialu Yang, Danesh Hosseinpanahi, Bo Zou, Jane Lin
{"title":"Powering long haul freight: hydrogen refueling station siting using pipeline infrastructure","authors":"Jialu Yang, Danesh Hosseinpanahi, Bo Zou, Jane Lin","doi":"10.1016/j.trd.2026.105226","DOIUrl":"10.1016/j.trd.2026.105226","url":null,"abstract":"<div><div>Hydrogen fuel cell trucks (HFCTs) are a promising alternative to diesel trucks (DTs) for decarbonizing long-haul freight while retaining comparable operational performance. This study investigates a large scale HRS siting problem with the aim of minimizing the capital investment in HRS construction and hydrogen delivery cost. A hybrid delivery method is considered: hydrogen is delivered from production hubs by the existing natural gas pipeline network to storage reservoirs, then by truck to HRSs. Assuming 10% of the 2050 Freight Analysis Framework Version 5 (FAF5) truck flow as HFCTs on the U.S. continental interstate highway network, results show that pipeline-based delivery offers major economic advantages over truck-based delivery. Findings highlight the strategic value of leveraging existing pipeline infrastructure and suggest that targeted policy support for hydrogen delivery and refueling infrastructure is essential for facilitating the cost-effective adoption of HFCTs in long-haul freight.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105226"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146070871","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}
Sergio Maria Patella , Filippo Carrese , Ila Maltese , Valerio Gatta , Edoardo Marcucci
{"title":"Missing the forest for the trees: what road freight decarbonisation research overlooks","authors":"Sergio Maria Patella , Filippo Carrese , Ila Maltese , Valerio Gatta , Edoardo Marcucci","doi":"10.1016/j.trd.2025.105207","DOIUrl":"10.1016/j.trd.2025.105207","url":null,"abstract":"<div><div>Decarbonising road freight transport is a critical priority for achieving global climate targets. This paper investigates how academic research conceptualises and addresses decarbonisation pathways in road freight transport. It applies a two-step literature review, combining aggregate and disaggregate search strategies, distinguishing between road freight transport and city logistics. Using the Avoid–Shift–Improve framework as an analytical benchmark, findings show that most studies focus on isolated technological solutions, while demand-reduction and modal-shift strategies receive comparatively less attention. Crucially, only a marginal subset of the literature explicitly adopts a structured, integrated, and multidimensional perspective; the majority conducts fragmented and narrowly scoped analyses, limiting the capacity to inform systemic and potentially effective policy strategies. This paper identifies this critical research gap and advocates for a paradigm shift in academic inquiry. Future studies should employ conceptual frameworks that capture the interdependencies among policy measures, thereby supporting the design and implementation of successful freight transport decarbonisation pathways.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105207"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160941","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}
Songzi Zhou , Junbei Liu , Ying Zhang , Yilan Bu , Xingjun Huang , Chengxiang Zhuge
{"title":"Assessing the dynamic impacts of remote work in New York city","authors":"Songzi Zhou , Junbei Liu , Ying Zhang , Yilan Bu , Xingjun Huang , Chengxiang Zhuge","doi":"10.1016/j.trd.2026.105260","DOIUrl":"10.1016/j.trd.2026.105260","url":null,"abstract":"<div><div>Working from Home (WFH) has stabilized above pre-pandemic levels, yet its long-term and multidimensional impacts remain unclear. This study explored different WFH arrangements within urban dynamics. Three scenarios in New York City—fully on-site, fully flexible, and structured hybrid—were designed to evaluate the long-term systematic impacts of WFH on population, economy, and environment from 2020 to 2035. An agent-based land use and transport interaction model incorporating a WFH module (i.e., SelfSim-WFH) was developed to capture the feedback of individuals’ WFH decisions and other associated urban elements. Results suggest that: (1) WFH induces a “donut effect,” with decentralization of residence and employment leading to longer home-work distance; (2) housing market growth slows, with rents responding more sensitively, while office rent declines; and (3) environmental gains from reduced commuting are partially offset by longer home-work distance and modal shifts, causing rebound effects in emissions and energy use under certain scenarios.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105260"},"PeriodicalIF":7.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160940","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}