Transportation Research Part D-transport and Environment最新文献

Physicochemical characterization of brake abrasion particles from trucks under laboratory conditions 实验室条件下卡车制动磨损颗粒的物理化学特性

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-07-04 DOI: 10.1016/j.trd.2025.104864

Alice Mirailler , Ana-Maria Trunfio-Sfarghiu , Valentin Massardier , Adina-Nicoleta Lazar , Nathalie Bernoud-Hubac , Mickaël Catinon , André Pierre Schroder , Salah Khardi

{"title":"Physicochemical characterization of brake abrasion particles from trucks under laboratory conditions","authors":"Alice Mirailler , Ana-Maria Trunfio-Sfarghiu , Valentin Massardier , Adina-Nicoleta Lazar , Nathalie Bernoud-Hubac , Mickaël Catinon , André Pierre Schroder , Salah Khardi","doi":"10.1016/j.trd.2025.104864","DOIUrl":"10.1016/j.trd.2025.104864","url":null,"abstract":"<div><div>The study of non-exhaust particle emissions is crucial in the context of the global vehicle fleet’s electrification. These particles, often overlooked, have harmful impacts on the environment and human health. This paper presents an exhaustive characterization of particles emitted from heavy-duty truck brake wear under controlled conditions. Braking tests were analyzed by correlating braking conditions with particle concentration collected by an Electrical Low Pressure Impactor (ELPI + ). The chemical composition was determined using Scanning Electron Microscopy and Energy Dispersive X-ray Spectroscopy (SEM-EDX). Results show that ultrafine particles (<100 nm) dominate emissions, with brake wear tracers such as Fe, Cu, Mo identified. The study also reveals that brake disc temperature significantly influences emissions. This work aims to enhance understanding of non-exhaust particulate emissions from heavy-duty vehicles, contributing to the development of effective particle collection systems and raising awareness of their environmental and health effects.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104864"},"PeriodicalIF":7.3,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549904","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}

引用次数: 0

Nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage 建筑环境对地铁一体化共享单车和拼车使用的非线性影响

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-07-03 DOI: 10.1016/j.trd.2025.104898

Xingang Zhou , Chenying Yang , Linchuan Yang , Yongping Zhang

{"title":"Nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage","authors":"Xingang Zhou , Chenying Yang , Linchuan Yang , Yongping Zhang","doi":"10.1016/j.trd.2025.104898","DOIUrl":"10.1016/j.trd.2025.104898","url":null,"abstract":"<div><div>Limited attention has been paid to revealing nonlinear relationships between the built environment and the integration of metro and shared mobility. This study applies the random forest model to examine and compare the nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage. It takes Shanghai as the study area, supported by massive user-generated bikesharing and ridesourcing trips. The results show that the distance to the city center and the number of entrances are the two most significant impact factors, while other built environment factors show varying degrees of influence. Interestingly, secondary and primary road densities play a significant role in predicting the usage of bikesharing and ridesourcing services, respectively. Moreover, nonlinear effects of the built environment have been investigated. For example, when secondary road density is below 5.2 km/km<sup>2</sup>, it has a positive effect on bike-sharing usage. However, this relationship does not hold when the secondary road density exceeds this threshold. This study offer valuable insights for transportation planning and policy-making.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104898"},"PeriodicalIF":7.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535409","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}

引用次数: 0

Road grade and truck weight matter: Investigating link-level energy consumption uncertainty 道路等级和卡车重量问题：调查链路级能耗不确定性

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-07-01 DOI: 10.1016/j.trd.2025.104900

Pengfei Fan , Guohua Song , Zhiqiang Zhai , Kanok Boriboonsomsin

引用次数: 0

Examining the links between public transport provision, suppressed travel and (in)sufficient accessibility 检查公共交通提供、抑制旅行和（或）充足的可达性之间的联系

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-07-01 DOI: 10.1016/j.trd.2025.104883

Jean Ryan , Chiara Vitrano , Karel Martens

{"title":"Examining the links between public transport provision, suppressed travel and (in)sufficient accessibility","authors":"Jean Ryan , Chiara Vitrano , Karel Martens","doi":"10.1016/j.trd.2025.104883","DOIUrl":"10.1016/j.trd.2025.104883","url":null,"abstract":"<div><div>This study engages a sufficientarian perspective to examine the role current basic levels of public transport provision play in delivering sufficient accessibility for inhabitants of sparsely populated areas. A survey was conducted among people living in areas which meet the criteria set out for basic levels of public transport provision for the Västra Götaland Region, Sweden. Mixed methods were employed in the collection and analysis of the survey data. The links between socio-economic, socio-demographic, time constraints, and accessibility and transport-related characteristics on the one hand and suppressed travel combined with activity participation levels on the other were examined. Our findings indicate that the current provision levels play a limited role in delivering (sufficient) accessibility, with many reports of personal adaptive strategies and forgone trips. We found that young people were significantly more likely to report suppressed travel. We propose recommendations for the improvement of public transport-based accessibility in such contexts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104883"},"PeriodicalIF":7.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518184","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}

引用次数: 0

Consumer preferences for hydrogen fuel cell vehicles adoption: A discrete choice survey 消费者对氢燃料电池汽车采用的偏好：一项离散选择调查

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-06-30 DOI: 10.1016/j.trd.2025.104892

Yuyao Liu , Ying Li , Kunhui Ye , Xingjun Huang

{"title":"Consumer preferences for hydrogen fuel cell vehicles adoption: A discrete choice survey","authors":"Yuyao Liu , Ying Li , Kunhui Ye , Xingjun Huang","doi":"10.1016/j.trd.2025.104892","DOIUrl":"10.1016/j.trd.2025.104892","url":null,"abstract":"<div><div>The hydrogen economy, driven by the promotion of hydrogen fuel cell vehicles (HFCVs), is emerging as the key to the electrification of transportation. Despite this, consumers remain hesitant, facing a dilemma where HFCVs have not yet decisively influenced their purchasing preferences. The complex market landscape and policy nuances also contribute to consumer decision-making uncertainty. Using a Discrete Choice Model combining Multinomial Logit and Latent Class Cluster Analysis, we analyzed 1077 survey responses from Chongqing, China, identifying four consumer groups based on perceived value and risk (“LH,” “HH,” “LL,” “HL”). Key findings show that drivable range, refueling accessibility, and personal carbon credits (PCC) enhance HFCV competitiveness. Hydrogen station accessibility boosts preferences for “LL” group, while PCC mainly influences “HH” consumers. Toll exemptions attract high-risk-perception groups, and mileage subsidies benefit vulnerable groups like “LL.” Targeted policies are essential to address diverse consumer needs and accelerate HFCV adoption.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104892"},"PeriodicalIF":7.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513684","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}

引用次数: 0

Cohered model of adopting electric vehicle fleets in the East of England 英国东部地区采用电动汽车车队的一致性模型

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-06-30 DOI: 10.1016/j.trd.2025.104897

Frank Nyame-Asiamah , Brendon Shaw , Tom Stacey

引用次数: 0

Equitable carbon budget allocation: Integrating travel mode preference and multi-activity accessibility 公平的碳预算分配：整合出行方式偏好和多活动可达性

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-06-30 DOI: 10.1016/j.trd.2025.104894

Zhenyu Duan , Xiao Fu , Daimin Tang , Teng Zhong , Lingshu Zhong

{"title":"Equitable carbon budget allocation: Integrating travel mode preference and multi-activity accessibility","authors":"Zhenyu Duan , Xiao Fu , Daimin Tang , Teng Zhong , Lingshu Zhong","doi":"10.1016/j.trd.2025.104894","DOIUrl":"10.1016/j.trd.2025.104894","url":null,"abstract":"<div><div>Carbon trading policies (e.g., carbon pricing, carbon credit systems) are crucial for reducing travel-related emissions. These policies necessitate an equitable initial allocation of carbon budget. While travel choice behavior and the built environment influence this allocation, few studies integrate both factors. This study addresses this gap by incorporating travel mode preference and multi-activity accessibility (i.e., the ability to access various activity opportunities) into a carbon budget allocation model at group and individual levels, thereby addressing systemic fairness and individual mobility needs. The model integrates travel behavior, multimodal transport networks, and carbon emissions for equitable allocation and personalized emission reduction strategies. To support a just transition towards net-zero emissions in the transportation sector, decent living standards serve as the baseline for allocation. Analysis of mobility data from China Telecom in Suzhou City (October 11–15, 2021) demonstrates this model ensures equitable emission reductions with most residents meeting the baseline, aiding policymakers’ decision-making.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104894"},"PeriodicalIF":7.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144513685","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}

引用次数: 0

Energy management strategy for diesel vehicles based on fuel consumption prediction 基于油耗预测的柴油车能量管理策略

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-06-28 DOI: 10.1016/j.trd.2025.104896

Jiahao Zhao , Ke Liang , Wei Guan , Hailang Sang , Shengkai Zhou , Lei Deng , Mingzhang Pan

引用次数: 0

Robust electric bus charging in photovoltaic-energy storage systems with dual uncertainties 双不确定性光伏储能系统中稳健电动客车充电

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-06-26 DOI: 10.1016/j.trd.2025.104888

Hong Gao , Kai Liu , Jian Zhao , Liyuan Zhao

{"title":"Robust electric bus charging in photovoltaic-energy storage systems with dual uncertainties","authors":"Hong Gao , Kai Liu , Jian Zhao , Liyuan Zhao","doi":"10.1016/j.trd.2025.104888","DOIUrl":"10.1016/j.trd.2025.104888","url":null,"abstract":"<div><div>This study optimizes the charging schedule of electric buses (EBs) within a photovoltaic-energy storage system (PESS) to address dual uncertainties in energy consumption and photovoltaic generation. Both deterministic and robust models are developed to minimize costs related to grid electricity, energy storage, and carbon emissions. Uncertainty sets with budget parameters are employed to control solution conservativeness. Case studies using real data from Zhengzhou, China reveal that the deterministic model with PESS reduces daily total costs by 25.04% and carbon emissions by 94.35% compared to traditional charging systems (TCS). The two uncertainties demonstrate significant cumulative effects, with photovoltaic uncertainty showing greater impact than consumption uncertainty. Sensitivity analyses provide operational insights, including maintaining additional 200 kWh storage capacity during photovoltaic uncertainty periods, setting off-peak electricity prices above storage costs to promote photovoltaic self-consumption, and prioritizing PESS implementation at stations with space-constrained charging facilities where vehicle-to-charging pile ratios exceed 9.5:1.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104888"},"PeriodicalIF":7.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489777","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}

引用次数: 0

Multi-task deep learning for joint prediction of traffic emissions and travel delay 基于多任务深度学习的交通排放与出行延误联合预测

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-06-26 DOI: 10.1016/j.trd.2025.104846

Keya Roy, Lok Sang Chan, Xiaocai Zhang, Neema Nassir

{"title":"Multi-task deep learning for joint prediction of traffic emissions and travel delay","authors":"Keya Roy, Lok Sang Chan, Xiaocai Zhang, Neema Nassir","doi":"10.1016/j.trd.2025.104846","DOIUrl":"10.1016/j.trd.2025.104846","url":null,"abstract":"<div><div>Signalised intersections play a crucial role in urban traffic management, ensuring the smooth movement of vehicles across road networks. However, urban intersections are often hotspots for congestion, increasing emissions, extending travel delay, and posing challenges for sustainable operations of traffic. The existing traffic management methods typically focus on either travel delay or emissions in isolation, neglecting their inherent interdependence; congestion simultaneously increases emissions and travel delay. This study introduces a novel deep learning framework termed multi-task temporal convolutional network (MT2CN) that jointly predicts traffic emissions and travel delay at signalised intersections. It is evident from our findings that the proposed MT2CN approach outperforms the conventional single-task models, indicating a significant finding for predictive modelling. By utilising advanced deep learning techniques and explainable artificial intelligence techniques, such as Shapley additive explanations (SHAP), our framework provides more accurate predictions and explainable insights to facilitate sustainable and intelligent traffic management.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104846"},"PeriodicalIF":7.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480675","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}

引用次数: 0