Transportation Research Part D-transport and Environment最新文献

英文中文

When flexibility beats fixed routes: Quantifying microtransit efficiency-emission trade-offs using AMOID 当灵活性胜过固定路线：使用AMOID量化微交通效率-排放权衡

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.trd.2026.105229

Jin-Ming Yang , Wei Zhai , Hong-Wei Wang , Xiao-Fan Wei , Hong-Di He , Zhong-Ren Peng

Microtransit is emerging as a key solution for short-distance travel, yet the efficiency-environmental trade-offs between demand-responsive and fixed-route systems remain unclear. We introduce AMOID, a data-driven model leveraging individual travel trajectories to automate hybrid system planning and evaluation. Departing from aggregate data methods, AMOID tailors solutions to individual demand, considering multi-modal collaboration. In Tampa, Florida, demand-responsive microtransit achieves 229% higher operational efficiency, 183% more ridership, 40% lower greenhouse gas emissions than fixed-route systems. However, fixed-route systems dominate when demand exceeds 800 trips/(day·mile²). Operational scale dynamically shifts these thresholds: reducing the fleet by half lowers the efficiency crossover threshold for fixed-route dominance by 40–46%; conversely, expanding the service area by 135% decreases the threshold by 60%. These findings reveal how demand and operational scale mediate modal efficiency, providing insights for planners to optimize microtransit deployment. AMOID bridges the gap between theoretical models and practical decision-making, enabling sustainable urban mobility.

微交通正在成为短途旅行的关键解决方案，但需求响应系统和固定路线系统之间的效率和环境权衡仍不清楚。我们介绍了AMOID，这是一个数据驱动的模型，利用个人旅行轨迹来自动化混合系统的规划和评估。AMOID从聚合数据方法出发，根据个人需求量身定制解决方案，考虑多模式协作。在佛罗里达州坦帕市，需求响应型微交通系统的运营效率比固定线路系统提高了229%，客流量增加了183%，温室气体排放量减少了40%。然而，当需求超过800次/天·英里2时，固定路线系统占主导地位。运营规模动态地改变了这些阈值：减少一半的机队会使固定航线优势的效率交叉阈值降低40-46%；相反，如果业务面积扩大135%，则阈值降低60%。这些发现揭示了需求和运营规模如何调节模式效率，为规划人员优化微交通部署提供了见解。AMOID弥合了理论模型和实际决策之间的差距，实现了可持续的城市交通。

{"title":"When flexibility beats fixed routes: Quantifying microtransit efficiency-emission trade-offs using AMOID","authors":"Jin-Ming Yang , Wei Zhai , Hong-Wei Wang , Xiao-Fan Wei , Hong-Di He , Zhong-Ren Peng","doi":"10.1016/j.trd.2026.105229","DOIUrl":"10.1016/j.trd.2026.105229","url":null,"abstract":"<div><div>Microtransit is emerging as a key solution for short-distance travel, yet the efficiency-environmental trade-offs between demand-responsive and fixed-route systems remain unclear. We introduce AMOID, a data-driven model leveraging individual travel trajectories to automate hybrid system planning and evaluation. Departing from aggregate data methods, AMOID tailors solutions to individual demand, considering multi-modal collaboration. In Tampa, Florida, demand-responsive microtransit achieves 229% higher operational efficiency, 183% more ridership, 40% lower greenhouse gas emissions than fixed-route systems. However, fixed-route systems dominate when demand exceeds 800 trips/(day·mile<sup>2</sup>). Operational scale dynamically shifts these thresholds: reducing the fleet by half lowers the efficiency crossover threshold for fixed-route dominance by 40–46%; conversely, expanding the service area by 135% decreases the threshold by 60%. These findings reveal how demand and operational scale mediate modal efficiency, providing insights for planners to optimize microtransit deployment. AMOID bridges the gap between theoretical models and practical decision-making, enabling sustainable urban mobility.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105229"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014573","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

Quantifying environmental impacts of cold chain interruptions using coupled CFD and LCA 利用耦合CFD和LCA量化冷链中断对环境的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI: 10.1016/j.trd.2026.105230

Teng Meng , Yue Huang , Anthony Whiteing , Yinpu Wang , Qidong Han

Cold chain interruptions (CCIs) can alter energy use and emissions in cold chain logistics (FCCL), yet their impacts are often overlooked in life cycle assessment (LCA). This study integrates computational fluid dynamics (CFD) with LCA to quantify CCI-related impacts, through a gate-to-gate case study of Zigui navel oranges from precooling to cold storage at destination. CFD reconstructs temperature histories, which are converted to stage-specific refrigeration energy usage and fed into LCA to quantify environmental burdens. Two types of CCIs were evaluated: refrigeration pauses have minimal effects, while ambient exposures, especially after precooling, increase global warming potential (GWP) by up to 5.94%. Overall, refrigerated transport contributes over 85% of total GWP, with a distance–GWP slope of 0.0014 kg CO₂-eq/km. Replacing diesel with B5 biodiesel (5% fatty acid methyl esters) reduces GWP by 3.95%. This CFD–LCA framework enables more accurate CCI impact assessments, supporting the design of sustainable FCCL systems.

冷链中断（cci）可以改变冷链物流（FCCL）的能源使用和排放，但其影响在生命周期评估（LCA）中往往被忽视。本研究将计算流体力学（CFD）与LCA相结合，通过对秭归脐橙从预冷到目的地冷藏的门到门的案例研究，量化cci相关的影响。CFD重建温度历史，将其转换为特定阶段的制冷能量使用，并输入LCA以量化环境负担。评估了两种类型的cci：制冷暂停影响最小，而环境暴露，特别是预冷后，可使全球变暖潜能值（GWP）增加5.94%。总体而言，冷藏运输对全球变暖潜能值的贡献超过85%，距离-全球变暖潜能值斜率为0.0014 kg CO2-eq/km。用B5生物柴油（5%脂肪酸甲酯）代替柴油可减少3.95%的全球升温潜能值。这种CFD-LCA框架能够更准确地评估CCI影响，支持可持续FCCL系统的设计。

{"title":"Quantifying environmental impacts of cold chain interruptions using coupled CFD and LCA","authors":"Teng Meng , Yue Huang , Anthony Whiteing , Yinpu Wang , Qidong Han","doi":"10.1016/j.trd.2026.105230","DOIUrl":"10.1016/j.trd.2026.105230","url":null,"abstract":"<div><div>Cold chain interruptions (CCIs) can alter energy use and emissions in cold chain logistics (FCCL), yet their impacts are often overlooked in life cycle assessment (LCA). This study integrates computational fluid dynamics (CFD) with LCA to quantify CCI-related impacts, through a gate-to-gate case study of Zigui navel oranges from precooling to cold storage at destination. CFD reconstructs temperature histories, which are converted to stage-specific refrigeration energy usage and fed into LCA to quantify environmental burdens. Two types of CCIs were evaluated: refrigeration pauses have minimal effects, while ambient exposures, especially after precooling, increase global warming potential (GWP) by up to 5.94%. Overall, refrigerated transport contributes over 85% of total GWP, with a distance–GWP slope of 0.0014 kg CO<sub>2</sub>-eq/km. Replacing diesel with B5 biodiesel (5% fatty acid methyl esters) reduces GWP by 3.95%. This CFD–LCA framework enables more accurate CCI impact assessments, supporting the design of sustainable FCCL systems.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105230"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033370","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

Shared electric scooter energy consumption modeling and influencing factor analysis 共享电动滑板车能耗建模及影响因素分析

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI: 10.1016/j.trd.2025.105205

Yuqiu Yuan , Lei Zhu

The convenience and sustainability of shared electric scooters (e-scooters) position them as an emerging and popular form of micromobility. However, their environmental and energy benefits are still a matter of debate. A reliable and accurate estimation of e-scooter energy consumption (i.e., battery depletion) is required to evaluate e-scooter energy and environmental impacts. The shared e-scooter data in the city of Charlotte, North Carolina, provides an opportunity to explore potential influencing factors and model e-scooter energy consumption. This study developed an XGBoost-based e-scooter energy consumption model that captures non-linear relationships among influencing factors and quantifies their contributions in supporting modeling under varying data availability conditions. The proposed e-scooter energy classification model achieves an overall accuracy of up to 73.73%. It is found that Trip Distance, Trip Duration, Grade, Start Battery Percentage, Temperature and Standard Deviation of Speed are the most important features. The model accuracy under different trip distance ranges and with different descriptive variables is evaluated.

共享电动滑板车（e-scooters）的便利性和可持续性使其成为一种新兴的、受欢迎的微型交通工具。然而，它们的环境和能源效益仍然存在争议。为了评估电动滑板车对能源和环境的影响，需要对电动滑板车的能量消耗（即电池耗尽）进行可靠和准确的估计。北卡罗来纳州夏洛特市共享的电动滑板车数据为探索潜在的影响因素和模拟电动滑板车的能耗提供了机会。本研究开发了一个基于xgboost的电动滑板车能耗模型，该模型捕捉了影响因素之间的非线性关系，并在不同数据可用性条件下量化了它们对支持建模的贡献。所提出的电动滑板车能量分类模型总体准确率达到73.73%。发现行程距离、行程持续时间、等级、启动电池百分比、温度和速度标准差是最重要的特征。对不同行程距离范围和不同描述变量下的模型精度进行了评价。

{"title":"Shared electric scooter energy consumption modeling and influencing factor analysis","authors":"Yuqiu Yuan , Lei Zhu","doi":"10.1016/j.trd.2025.105205","DOIUrl":"10.1016/j.trd.2025.105205","url":null,"abstract":"<div><div>The convenience and sustainability of shared electric scooters (e-scooters) position them as an emerging and popular form of micromobility. However, their environmental and energy benefits are still a matter of debate. A reliable and accurate estimation of e-scooter energy consumption (i.e., battery depletion) is required to evaluate e-scooter energy and environmental impacts. The shared e-scooter data in the city of Charlotte, North Carolina, provides an opportunity to explore potential influencing factors and model e-scooter energy consumption. This study developed an XGBoost-based e-scooter energy consumption model that captures non-linear relationships among influencing factors and quantifies their contributions in supporting modeling under varying data availability conditions. The proposed e-scooter energy classification model achieves an overall accuracy of up to 73.73%. It is found that Trip Distance, Trip Duration, Grade, Start Battery Percentage, Temperature and Standard Deviation of Speed are the most important features. The model accuracy under different trip distance ranges and with different descriptive variables is evaluated.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105205"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033371","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

Consumers ’ perceptions, knowledge, and adoption patterns of battery electric vehicles 消费者对纯电动汽车的认知、知识和采用模式

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-09 DOI: 10.1016/j.trd.2025.105194

Xiatian Iogansen , Christina Gore , Joshua Kneifel , Sindhu Ranganath , John Paul Helveston

This study examines consumer perceptions, knowledge, and adoption patterns of battery electric vehicles (BEVs), using survey data from 1,443 U.S. residents. Findings reveal persistent informational and psychological barriers that hinder adoption among current non-adopters and challenge sustained use among current adopters. A binary logit model distinguishes BEV-only users and BEV-mixed-fuel users, uncovering distinct socio-demographic profiles, motivations, vehicle usage, and charging behaviors often obscured in aggregate analyses. BEV-only users are typically younger, urban, and price-sensitive, often lacking dedicated charging access, whereas mixed-fuel users place greater value on BEVs’ symbolic appeal and mitigate range concerns through access to conventional vehicles. A multinomial logit model of non-adopters shows that BEV-related perceptions, knowledge, incentives, infrastructure access, and personal traits affect adoption intentions in asymmetric ways. These findings highlight the need for flexible modeling and measurement of adoption to capture the complex and varied drivers of BEV resistance and uptake across different consumer groups.

本研究考察了消费者对纯电动汽车（bev）的认知、知识和采用模式，使用了1443年 美国的调查数据居民。调查结果显示，持续存在的信息和心理障碍阻碍了当前非收养者的收养，并挑战了当前收养者的持续使用。二元logit模型区分纯电动汽车用户和纯电动汽车混合燃料用户，揭示了不同的社会人口特征、动机、车辆使用情况和充电行为，这些特征通常在汇总分析中被掩盖。纯电动汽车的用户通常是年轻的城市用户，对价格敏感，通常缺乏专用的充电通道，而混合燃料用户更看重纯电动汽车的象征性吸引力，并通过使用传统汽车来缓解里程问题。非采用者的多项逻辑模型表明，与电动汽车相关的认知、知识、激励、基础设施访问和个人特征以不对称的方式影响采用者的意愿。这些发现强调需要灵活的建模和测量，以捕捉不同消费者群体对纯电动汽车的抵制和吸收的复杂和不同的驱动因素。

{"title":"Consumers ’ perceptions, knowledge, and adoption patterns of battery electric vehicles","authors":"Xiatian Iogansen , Christina Gore , Joshua Kneifel , Sindhu Ranganath , John Paul Helveston","doi":"10.1016/j.trd.2025.105194","DOIUrl":"10.1016/j.trd.2025.105194","url":null,"abstract":"<div><div>This study examines consumer perceptions, knowledge, and adoption patterns of battery electric vehicles (BEVs), using survey data from 1,443 U.S. residents. Findings reveal persistent informational and psychological barriers that hinder adoption among current non-adopters and challenge sustained use among current adopters. A binary logit model distinguishes <em>BEV-only users</em> and <em>BEV-mixed-fuel users</em>, uncovering distinct socio-demographic profiles, motivations, vehicle usage, and charging behaviors often obscured in aggregate analyses. <em>BEV-only users</em> are typically younger, urban, and price-sensitive, often lacking dedicated charging access, whereas <em>mixed-fuel users</em> place greater value on BEVs’ symbolic appeal and mitigate range concerns through access to conventional vehicles. A multinomial logit model of non-adopters shows that BEV-related perceptions, knowledge, incentives, infrastructure access, and personal traits affect adoption intentions in asymmetric ways. These findings highlight the need for flexible modeling and measurement of adoption to capture the complex and varied drivers of BEV resistance and uptake across different consumer groups.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105194"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928582","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

Vulnerability assessment of electric vehicles and their charging station network during evacuations 疏散过程中电动汽车及其充电站网络脆弱性评估

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-08 DOI: 10.1016/j.trd.2025.105197

Denissa Sari Darmawi Purba, Eleftheria Kontou

Electric vehicle (EV) drivers face range anxiety and long recharging times and navigate sparse public charging networks, which challenge both preemptive and short-notice evacuations. We propose a multi-criteria vulnerability assessment of the coupled EV driver and charging station network during evacuations. We study flooding evacuations in Chicago, IL and hurricane evacuations in Southeast Florida, FL. The sensitivity analysis is conducted to examine the effects of initial battery state of charge (SOC), reduced battery efficiency under adverse weather, EV penetration rates, and home charging accessibility. Our findings show the impact of vehicle and infrastructure-related (charging network, driving range and vehicle heterogeneity) and evacuation-related (network properties, hazard intensity, and warning system type) characteristics to evacuation feasibility and performance. Most EV drivers can evacuate with or without charging during mild and moderate hazards, even with the expected decrease in charging station accessibility and network disruptions. During rare and severe hazards, those with short-range EVs face a higher risk of getting stranded without enough power and reduced charging infrastructure access. The initial SOC of the EV battery determines drivers’ capability to initiate an evacuation.

电动汽车（EV）司机面临里程焦虑和长充电时间，并在稀疏的公共充电网络中行驶，这对先发制人和临时撤离提出了挑战。提出了一种多准则的电动汽车驾驶员和充电站网络在疏散过程中的脆弱性评估方法。我们研究了伊利诺伊州芝加哥的洪水疏散和佛罗里达州东南部的飓风疏散。通过敏感性分析，考察了电池初始充电状态（SOC）、恶劣天气下电池效率降低、电动汽车普及率和家庭充电可及性的影响。我们的研究结果显示了车辆和基础设施相关（充电网络、续驶里程和车辆异质性）和疏散相关（网络特性、危险强度和预警系统类型）特征对疏散可行性和性能的影响。在轻度和中度危险情况下，即使充电站可达性下降和网络中断，大多数电动汽车司机也可以在充电或不充电的情况下撤离。在罕见和严重的危险情况下，那些拥有短程电动汽车的人面临着更高的风险，即没有足够的电力，充电基础设施的使用减少。电动汽车电池的初始SOC决定了驾驶员启动疏散的能力。

{"title":"Vulnerability assessment of electric vehicles and their charging station network during evacuations","authors":"Denissa Sari Darmawi Purba, Eleftheria Kontou","doi":"10.1016/j.trd.2025.105197","DOIUrl":"10.1016/j.trd.2025.105197","url":null,"abstract":"<div><div>Electric vehicle (EV) drivers face range anxiety and long recharging times and navigate sparse public charging networks, which challenge both preemptive and short-notice evacuations. We propose a multi-criteria vulnerability assessment of the coupled EV driver and charging station network during evacuations. We study flooding evacuations in Chicago, IL and hurricane evacuations in Southeast Florida, FL. The sensitivity analysis is conducted to examine the effects of initial battery state of charge (SOC), reduced battery efficiency under adverse weather, EV penetration rates, and home charging accessibility. Our findings show the impact of vehicle and infrastructure-related (charging network, driving range and vehicle heterogeneity) and evacuation-related (network properties, hazard intensity, and warning system type) characteristics to evacuation feasibility and performance. Most EV drivers can evacuate with or without charging during mild and moderate hazards, even with the expected decrease in charging station accessibility and network disruptions. During rare and severe hazards, those with short-range EVs face a higher risk of getting stranded without enough power and reduced charging infrastructure access. The initial SOC of the EV battery determines drivers’ capability to initiate an evacuation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105197"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928584","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

Dynamic planning integrating life cycle assessment for taxi battery swapping stations 基于生命周期评估的出租车换电池站动态规划

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-09 DOI: 10.1016/j.trd.2025.105203

Tianyu Zhang , Gongyuan Lu , Enjian Yao , Xiaobo Liu , Yang Yang

This study examines the potential application of battery swapping (BS) mode in the taxi industry by analyzing the deployment, decarbonization, economics, and transportation service pathways of taxi BS station (T-BSS) projects in various energy and economic scenarios. A comprehensive model is proposed that integrates multi-stage deployment planning with dynamic life-cycle assessment based on grasp, mapping, and quantification of the dynamic evolution of macro energy and economy. T-BSS projects in Tianjin from 0a to 30a are analyzed. The T-BSS project has a normalized carbon emission reduction of more than 90% by 30a, driven by the transformation of the transportation power structure in Deep and the development of battery energy consumption technology in Base/Fast. T-BSS projects demonstrate strong profitability, with 81.6% of 375 scenarios achieving an internal rate of return of more than 12%. However, they face risks, including declining profitability in later phases and substantial disparities in investment returns.

本文通过分析不同能源和经济情景下出租车电池交换站（T-BSS）项目的部署、脱碳、经济性和运输服务路径，探讨了电池交换模式在出租车行业的潜在应用。在把握、映射和量化宏观能源经济动态演变的基础上，提出了一种多阶段部署规划与动态生命周期评价相结合的综合模型。分析了2010年至2010年天津T-BSS项目。在Deep交通动力结构转型和Base/Fast电池能耗技术发展的推动下，T-BSS项目标准化碳减排30a 90%以上。T-BSS项目显示出强大的盈利能力，375个方案中有81.6%实现了超过12%的内部回报率。然而，它们面临着风险，包括后期盈利能力下降和投资回报的巨大差异。

引用次数: 0

Perceived accessibility across activity types and transport modes 感知跨活动类型和运输模式的可达性

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.trd.2026.105225

Willy Kriswardhana , Domokos Esztergár-Kiss

Recently, perceived accessibility has been proposed as a supplementary measure to traditional accessibility indicators to support more comprehensive policies for sustainable travel behavior. Previous studies explore perceived accessibility across trip purposes and conventional transport modes but overlook shared micro-mobility with such factors as walkability and bikeability. The current study addresses these gaps by examining how perceived walkability, bikeability, and access to shared transport modes influence perceived accessibility, which are closely related to the built environment. A web-panel survey is conducted, and the data are analyzed by using ordered logit models. The results highlight the influence of varied parameters, where socio-demographic factors significantly affect the perceived accessibility of public transport and cars, while mode-specific perceptions play a greater role in the case of active and shared mobility modes. The findings underline the importance of including and analyzing individuals’ perceptions of existing infrastructures to support a transition toward green travel behavior.

最近，可达性被提出作为传统可达性指标的补充措施，以支持更全面的可持续旅游行为政策。以往的研究探讨了出行目的和传统交通方式的感知可达性，但忽视了步行性和骑自行车性等共享微移动性因素。当前的研究通过研究感知步行性、骑自行车性和共享交通方式如何影响感知可达性来解决这些差距，这与建筑环境密切相关。通过网络面板调查，采用有序logit模型对数据进行分析。结果强调了各种参数的影响，其中社会人口因素显著影响公共交通和汽车的可达性，而特定模式的感知在主动和共享移动模式的情况下发挥更大的作用。研究结果强调了包括和分析个人对现有基础设施的看法对于支持向绿色出行行为过渡的重要性。

{"title":"Perceived accessibility across activity types and transport modes","authors":"Willy Kriswardhana , Domokos Esztergár-Kiss","doi":"10.1016/j.trd.2026.105225","DOIUrl":"10.1016/j.trd.2026.105225","url":null,"abstract":"<div><div>Recently, perceived accessibility has been proposed as a supplementary measure to traditional accessibility indicators to support more comprehensive policies for sustainable travel behavior. Previous studies explore perceived accessibility across trip purposes and conventional transport modes but overlook shared micro-mobility with such factors as walkability and bikeability. The current study addresses these gaps by examining how perceived walkability, bikeability, and access to shared transport modes influence perceived accessibility, which are closely related to the built environment. A web-panel survey is conducted, and the data are analyzed by using ordered logit models. The results highlight the influence of varied parameters, where socio-demographic factors significantly affect the perceived accessibility of public transport and cars, while mode-specific perceptions play a greater role in the case of active and shared mobility modes. The findings underline the importance of including and analyzing individuals’ perceptions of existing infrastructures to support a transition toward green travel behavior.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105225"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979350","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

The green gridlock: Projecting the unintended wildfire evacuation risks of EV adoption 绿色交通堵塞：预测电动汽车采用的意外野火疏散风险

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.trd.2026.105219

Khondhaker Al Momin, Arif Mohaimin Sadri, Kanthasamy K. Muraleetharan

The rapid adoption of electric vehicles (EVs), while crucial for climate goals, introduces complex challenges for emergency management. This study addresses the urgent, yet under-researched risk of wildfire evacuations in EV-dependent communities, whose mobility is tightly coupled with a vulnerable electrical grid. We develop a novel geospatial framework grounded in the Vulnerability-Exposure-Sensitivity model and operationalized through a Community Preparedness Index that integrates socioeconomic, demographic, mobility, and infrastructural characteristics. Hotspot analysis identifies spatial clusters of wildfire exposure, EV sensitivity, and community preparedness, enabling classification of evacuation risk profiles driven by transportation system dependence on electrified mobility. A Gaussian Process Regression informed S-curve forecasting approach estimates when communities are likely to reach critical risk levels as EV adoption increases. Results show significant spatial disparities, providing evidence to strategically deploy charging resources, grid hardening, and evacuation focused planning. The framework supports proactive, data-informed planning for resilient electrified transportation systems in wildfire-prone regions.

电动汽车的迅速普及虽然对气候目标至关重要，但也给应急管理带来了复杂的挑战。本研究解决了电动汽车依赖社区的紧急野火疏散风险，但研究不足，这些社区的机动性与脆弱的电网紧密相连。我们在脆弱性-暴露-敏感性模型的基础上开发了一个新的地理空间框架，并通过整合社会经济、人口、流动性和基础设施特征的社区准备指数进行操作。热点分析确定了野火暴露、电动汽车敏感性和社区准备的空间集群，实现了由电气化交通运输系统驱动的疏散风险概况的分类。高斯过程回归通知s曲线预测方法估计随着电动汽车采用率的增加，社区何时可能达到临界风险水平。研究结果显示了显著的空间差异，为战略部署充电资源、强化电网和集中疏散规划提供了依据。该框架支持在野火易发地区对弹性电气化运输系统进行前瞻性、数据知情的规划。

{"title":"The green gridlock: Projecting the unintended wildfire evacuation risks of EV adoption","authors":"Khondhaker Al Momin, Arif Mohaimin Sadri, Kanthasamy K. Muraleetharan","doi":"10.1016/j.trd.2026.105219","DOIUrl":"10.1016/j.trd.2026.105219","url":null,"abstract":"<div><div>The rapid adoption of electric vehicles (EVs), while crucial for climate goals, introduces complex challenges for emergency management. This study addresses the urgent, yet under-researched risk of wildfire evacuations in EV-dependent communities, whose mobility is tightly coupled with a vulnerable electrical grid. We develop a novel geospatial framework grounded in the Vulnerability-Exposure-Sensitivity model and operationalized through a Community Preparedness Index that integrates socioeconomic, demographic, mobility, and infrastructural characteristics. Hotspot analysis identifies spatial clusters of wildfire exposure, EV sensitivity, and community preparedness, enabling classification of evacuation risk profiles driven by transportation system dependence on electrified mobility. A Gaussian Process Regression informed S-curve forecasting approach estimates when communities are likely to reach critical risk levels as EV adoption increases. Results show significant spatial disparities, providing evidence to strategically deploy charging resources, grid hardening, and evacuation focused planning. The framework supports proactive, data-informed planning for resilient electrified transportation systems in wildfire-prone regions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105219"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014575","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

The effects of policy interventions on electric vehicle consideration among priority populations 政策干预对优先人群电动汽车考虑的影响

IF 7.6 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-03-24 DOI: 10.1016/j.trd.2026.105332

Kelly Hoogland, Scott Hardman, Jesus M. Barajas, Debapriya Chakraborty

引用次数: 0

Service quality and behavioral acceptance under mandatory car restrictions: post-implementation evidence from Changdao Island, China 强制性限车条件下的服务质量与行为接受度：来自中国长岛岛的实施后证据

IF 7.6 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-03-23 DOI: 10.1016/j.trd.2026.105335

Hongwei Yu, Zijie Liu, Haolin Zhang, Youchao Xing, Yufeng Hou, Feng Liu

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Transportation Research Part D-transport and Environment

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀