Transportation Research Part D-transport and Environment最新文献_第6页

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 : 2026-01-09 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":"2026-01-09","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

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 : 2026-01-09 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

Shared cars, gendered patterns: The case of Montréal, Canada 共享汽车，性别模式：以加拿大montracal为例

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-01-08 DOI: 10.1016/j.trd.2025.105206

Femke Veerman , Dea van Lierop , Geneviève Boisjoly , Maria Laura Guerrero Balarezo , Martin Trépanier

While carsharing is used more by men than women, little is known about how gender shapes carsharing patterns. Accordingly, this study examines how gender shapes usage patterns. Using Montreal carsharing data, the study analyses distance, duration, and stops per reservation through descriptive statistics, regressions and gender-stratified models. Descriptive statistics show that women, compared to men, travel shorter distances, make fewer stops, yet spend more time per reservation. Multilevel regression analyses confirm these statistically significant gender differences. Women’s shorter distances and longer reservation times may lead to higher costs per kilometre under some pricing structures. Gender-stratified models reveal both gender-specific and shared patterns: women show varied suburban travel patterns, higher residential area income increases men’s distances compared to lower-income areas but has little effect on women’s distances, while both genders show similar temporal patterns. Findings underscore the need for continued research into equitable mobility systems across different contexts.

虽然男性比女性更常使用拼车，但人们对性别如何影响拼车模式知之甚少。因此，本研究探讨了性别如何影响使用模式。该研究利用蒙特利尔汽车共享数据，通过描述性统计、回归和性别分层模型分析了每次预订的距离、持续时间和站点。描述性统计数据显示，与男性相比，女性旅行的距离更短，停留的站点更少，但每次预订花费的时间更长。多水平回归分析证实了这些统计上显著的性别差异。在某些定价结构下，妇女的距离较短，预订时间较长，可能导致每公里的成本较高。性别分层模型同时揭示了性别特征和共享模式：女性郊区出行模式存在差异，较高的住宅区收入增加了男性与低收入地区的距离，但对女性的距离影响不大，而两性的时间模式相似。调查结果强调，有必要继续研究不同背景下的公平流动制度。

{"title":"Shared cars, gendered patterns: The case of Montréal, Canada","authors":"Femke Veerman , Dea van Lierop , Geneviève Boisjoly , Maria Laura Guerrero Balarezo , Martin Trépanier","doi":"10.1016/j.trd.2025.105206","DOIUrl":"10.1016/j.trd.2025.105206","url":null,"abstract":"<div><div>While carsharing is used more by men than women, little is known about how gender shapes carsharing patterns. Accordingly, this study examines how gender shapes usage patterns. Using Montreal carsharing data, the study analyses distance, duration, and stops per reservation through descriptive statistics, regressions and gender-stratified models. Descriptive statistics show that women, compared to men, travel shorter distances, make fewer stops, yet spend more time per reservation. Multilevel regression analyses confirm these statistically significant gender differences. Women’s shorter distances and longer reservation times may lead to higher costs per kilometre under some pricing structures. Gender-stratified models reveal both gender-specific and shared patterns: women show varied suburban travel patterns, higher residential area income increases men’s distances compared to lower-income areas but has little effect on women’s distances, while both genders show similar temporal patterns. Findings underscore the need for continued research into equitable mobility systems across different contexts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105206"},"PeriodicalIF":7.7,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928579","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

A dual large language model framework for forecasting maritime greenhouse gas emissions 海洋温室气体排放预测的双大语言模型框架

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-01-08 DOI: 10.1016/j.trd.2025.105202

Shuojiang Xu , Kelin Zhu , Fangli Zeng , Min Guo , Benying Tan , Yiqing Tian

Maritime transport is a major source of greenhouse gas emissions, and accurately forecasting them is key to formulating targeted policies such as carbon pricing and emission quotas. The accuracy of existing forecasting models is limited by the challenges they face in processing large multi-source datasets. This study introduces a dual large language model (LLM) framework, MarEmisNet-DualLLM, which integrates a time-series-focused LLM for capturing temporal patterns and a general-purpose LLM for integrating domain knowledge, unstructured text, and contextual reasoning. Empirical tests on three real-world maritime datasets demonstrate that it outperforms baseline methods. The framework could be used by the International Maritime Organization, shipping firms, and ports to support mitigation strategies like route optimization and monitor compliance, thereby advancing maritime decarbonization.

海运是温室气体排放的主要来源，准确预测其排放量是制定碳定价和排放配额等有针对性政策的关键。现有预测模型在处理大型多源数据集时面临的挑战限制了其准确性。本研究引入了一个双大型语言模型（LLM）框架，MarEmisNet-DualLLM，它集成了一个以时间序列为中心的LLM，用于捕获时间模式，以及一个用于集成领域知识、非结构化文本和上下文推理的通用LLM。对三个真实海洋数据集的实证测试表明，该方法优于基线方法。该框架可被国际海事组织、航运公司和港口用于支持路线优化和监测合规等缓解战略，从而推进海上脱碳。

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 : 2026-01-08 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":"2026-01-08","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

Quantifying the counteracting impacts of climate change on large-scale pavement infrastructure serviceability 量化气候变化对大规模路面基础设施使用能力的抵消影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-01-06 DOI: 10.1016/j.trd.2026.105208

Jin Li , Wentao He , He Zhang , Hao Shi , Huailei Cheng , Lijun Sun

This study quantifies competing climate-change effects, temperature rise versus reduced freezing, on pavement networks using over 35 years of records from more than 1,100 sections. We combine explainable machine learning (ML) with Monte Carlo simulation to propagate global climate model (GCM) projections to future infrastructure impacts, considering the two-layer uncertainty from climate ensemble and ML residuals. Results reveal substantial inter-GCM model differences and occasional opposing trends, underscoring climate projection uncertainty. Trained ML models accurately predict long-term pavement performance; the freezing index and air temperature are the two dominant drivers. Reduced future freezing tends to extend service life, partially offsetting warming’s negative effects. Thus, climate change does not always accelerate pavement deterioration: in some regions (notably wet, freeze-prone zones) and for some time horizons or scenarios, net effects can be neutral or beneficial. In wet, freeze zones, pavement service life is being extended in nearly 65 % simulations under SSP585 by 2050–2060, whereas dry, freeze counterparts only show a figure of around 35 %. These findings indicate that pavement resilience assessments should consider both warming and changing freeze–thaw regimes rather than temperature alone under climate uncertainty and inform local adaptation decisions practically.

这项研究使用了超过35年的1100多个路段的记录，量化了气候变化对路面网络的相互竞争的影响，温度上升与减少结冰。考虑到气候集合和ML残差的两层不确定性，我们将可解释的机器学习（ML）与蒙特卡罗模拟相结合，将全球气候模型（GCM）预测传播到未来的基础设施影响。结果显示gcm模式间存在显著差异，偶尔出现相反趋势，强调了气候预估的不确定性。经过训练的ML模型可以准确预测路面的长期性能；冻结指数和气温是两个主要的驱动因素。减少未来的冻结往往会延长使用寿命，部分抵消变暖的负面影响。因此，气候变化并不总是加速路面退化：在某些地区（特别是潮湿、容易结冰的地区）以及在某些时间范围或情景下，净影响可能是中性的或有益的。在潮湿、冻结的区域，在SSP585下，到2050-2060年，路面使用寿命将延长近65%，而干燥、冻结的模拟结果仅为35%左右。这些发现表明，在气候不确定性下，路面弹性评估应同时考虑变暖和冻融机制的变化，而不仅仅是考虑温度，并为当地的适应决策提供实际信息。

{"title":"Quantifying the counteracting impacts of climate change on large-scale pavement infrastructure serviceability","authors":"Jin Li , Wentao He , He Zhang , Hao Shi , Huailei Cheng , Lijun Sun","doi":"10.1016/j.trd.2026.105208","DOIUrl":"10.1016/j.trd.2026.105208","url":null,"abstract":"<div><div>This study quantifies competing climate-change effects, temperature rise versus reduced freezing, on pavement networks using over 35 years of records from more than 1,100 sections. We combine explainable machine learning (ML) with Monte Carlo simulation to propagate global climate model (GCM) projections to future infrastructure impacts, considering the two-layer uncertainty from climate ensemble and ML residuals. Results reveal substantial inter-GCM model differences and occasional opposing trends, underscoring climate projection uncertainty. Trained ML models accurately predict long-term pavement performance; the freezing index and air temperature are the two dominant drivers. Reduced future freezing tends to extend service life, partially offsetting warming’s negative effects. Thus, climate change does not always accelerate pavement deterioration: in some regions (notably wet, freeze-prone zones) and for some time horizons or scenarios, net effects can be neutral or beneficial. In wet, freeze zones, pavement service life is being extended in nearly 65 % simulations under SSP585 by 2050–2060, whereas dry, freeze counterparts only show a figure of around 35 %. These findings indicate that pavement resilience assessments should consider both warming and changing freeze–thaw regimes rather than temperature alone under climate uncertainty and inform local adaptation decisions practically.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105208"},"PeriodicalIF":7.7,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928583","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

Carbon emission reduction strategy in shipping industry: A stochastic evolutionary game analysis 航运业碳减排策略：一个随机进化博弈分析

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-01-05 DOI: 10.1016/j.trd.2025.105201

Yufang Fu, Qing Chen, Bojun Gu, Peng Tian

Faced with the constant changes in carbon policies, consumer markets, and the climatic environment, the sustainable low-carbon transition of the shipping industry has become a key challenge in global carbon emission reduction. Utilizing Itô stochastic differential equation theory, this study develops a tripartite stochastic evolutionary game incorporating Gaussian white noise to simulate uncertainties in abatement process, analyzes strategic interactions among governments, shippers, and carriers, and explores the influence of key parameters and policy mechanisms on the system. The results indicate that increased intensities of stochastic disturbances weaken the stability of emission reduction strategies. Implementing regulation, enhancing consumers’ low-carbon preferences, and establishing compensation mechanisms can boost the emission reduction willingness of shippers and carriers, reducing strategic fluctuations. Moreover, reasonable carbon subsidies alongside a hybrid carbon tax and emissions trading system, with allocation ratios aligned with the decarbonization progress of the shipping industry, are critical for reducing emissions and maintaining strategic stability.

面对碳政策、消费市场和气候环境的不断变化，航运业的可持续低碳转型已成为全球碳减排的关键挑战。本文利用Itô随机微分方程理论，建立了一个包含高斯白噪声的三方随机演化博弈模型，模拟了减排过程中的不确定性，分析了政府、托运人和承运人之间的战略互动关系，并探讨了关键参数和政策机制对系统的影响。结果表明，随机扰动强度的增加削弱了减排策略的稳定性。实施监管，增强消费者的低碳偏好，建立补偿机制，可以提高托运人和承运人的减排意愿，减少战略波动。此外，合理的碳补贴以及混合碳税和排放交易体系，其分配比例与航运业的脱碳进展相一致，对于减少排放和保持战略稳定至关重要。

{"title":"Carbon emission reduction strategy in shipping industry: A stochastic evolutionary game analysis","authors":"Yufang Fu, Qing Chen, Bojun Gu, Peng Tian","doi":"10.1016/j.trd.2025.105201","DOIUrl":"10.1016/j.trd.2025.105201","url":null,"abstract":"<div><div>Faced with the constant changes in carbon policies, consumer markets, and the climatic environment, the sustainable low-carbon transition of the shipping industry has become a key challenge in global carbon emission reduction. Utilizing Itô stochastic differential equation theory, this study develops a tripartite stochastic evolutionary game incorporating Gaussian white noise to simulate uncertainties in abatement process, analyzes strategic interactions among governments, shippers, and carriers, and explores the influence of key parameters and policy mechanisms on the system. The results indicate that increased intensities of stochastic disturbances weaken the stability of emission reduction strategies. Implementing regulation, enhancing consumers’ low-carbon preferences, and establishing compensation mechanisms can boost the emission reduction willingness of shippers and carriers, reducing strategic fluctuations. Moreover, reasonable carbon subsidies alongside a hybrid carbon tax and emissions trading system, with allocation ratios aligned with the decarbonization progress of the shipping industry, are critical for reducing emissions and maintaining strategic stability.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105201"},"PeriodicalIF":7.7,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897876","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 role of residential dissonance in active travel: Gendered evidence from Japan 居住失调在积极旅行中的作用：来自日本的性别证据

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-01-03 DOI: 10.1016/j.trd.2025.105204

Jie Gao , Yuze Qian , Toshiyuki Yamamoto , Marco Helbich

This study examined the gender-stratified mediating role of residential dissonance (mismatches between perceived actual and ideals) in relationships between built environment and transport-related active travel in Nagoya, Japan, using structural equation modeling. For men, safety-related positive dissonance (where perceived safety met or exceeded ideals) was positively associated with cycling frequency. For women, car-alternatives-related positive dissonance (where offering better conditions for non-car modes) was directly associated with higher cycling frequency. The effects of built environment showed further gender differences. For men, shorter subway proximity increased cycling frequency, an effect reinforced by safety-related positive dissonance. Land use diversity increased walking frequency through aesthetics-related positive dissonance. For women, longer distances to stations were indirectly associated with more walking frequency by reduced accessibility-related positive dissonance. Overall, residential dissonance is a critical, gender-stratified mediator in the built environment-active travel relationships. The distinct pathways for men and women emphasize the necessity of gender-responsive urban planning.

本研究使用结构方程模型，考察了居住不和谐（感知实际与理想之间的不匹配）在日本名古屋建筑环境与交通相关的主动旅行之间的关系中的性别分层中介作用。对于男性来说，与安全相关的积极失调（感知到的安全达到或超过理想）与骑车频率呈正相关。对于女性来说，与汽车选择相关的积极失调（为非汽车模式提供更好的条件）与更高的骑行频率直接相关。建筑环境的影响表现出进一步的性别差异。对于男性来说，更近的地铁距离增加了骑车的频率，这一效应被与安全相关的积极失调所强化。土地利用多样性通过与美学相关的积极失调增加了步行频率。对于女性来说，到车站的距离越远，步行频率越高，与可达性相关的正失调程度越低。总体而言，居住不和谐是一个关键的，性别分层的中介在建成环境-积极的旅行关系。男子和妇女的不同途径强调了促进性别平等的城市规划的必要性。

{"title":"The role of residential dissonance in active travel: Gendered evidence from Japan","authors":"Jie Gao , Yuze Qian , Toshiyuki Yamamoto , Marco Helbich","doi":"10.1016/j.trd.2025.105204","DOIUrl":"10.1016/j.trd.2025.105204","url":null,"abstract":"<div><div>This study examined the gender-stratified mediating role of residential dissonance (mismatches between perceived actual and ideals) in relationships between built environment and transport-related active travel in Nagoya, Japan, using structural equation modeling. Formen, safety-related positive dissonance (where perceived safety <em>met</em> orexceeded ideals) was positively associated with cycling frequency. For women, car-alternatives-related positive dissonance (where offeringbetterconditions for non-car modes) was directly associated with higher cycling frequency. Theeffects of built environment showed further gender differences.For men, shorter subway proximity increased cycling frequency, an effect reinforced by safety-related positive dissonance. Land use diversity increased walking frequency through aesthetics-relatedpositive dissonance.For women, longer distances to stations were indirectlyassociated with more walking frequency by reduced accessibility-relatedpositive dissonance. Overall, residential dissonance is a critical, gender-stratified mediator in the built environment-active travel relationships. The distinct pathways for men and women emphasize the necessity of gender-responsive urban planning.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"152 ","pages":"Article 105204"},"PeriodicalIF":7.7,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885884","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

Incorporating spatial context in nonlinear relationship between built environment and driving behavior 在建筑环境与驾驶行为的非线性关系中融入空间语境

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-01-02 DOI: 10.1016/j.trd.2025.105199

Chuan Ding , Tiantian Liu , Xinyu Zhou , Liya Yang , Sufeng Wu

Revisiting concerns over climate change have prompted research into the linkage between the built environment (BE) and travel behavior, aiming to provide evidence-based support for altering the urban fabric to reduce motorized travel. Numerous studies have examined the nonlinear associations between the BE attributes and motorized travel, but few efforts have fully accounted for the spatial context issues (i.e., spatial heterogeneity and spatial dependence). To fill this gap, this study proposes a semi-parametric multilevel model with conditional autoregressive (CAR) specification to re-estimate the nonlinear impacts of BE attributes on motorized travel while addressing the spatial context issues. We applied it to the household travel survey data from Beijing, China. Our findings indicate that including spatial heterogeneity and dependence in the nonlinear analysis leads to a superior model fit. The zonal BE attributes have clearly nonlinear impacts on household vehicle kilometers traveled (VKT) even after controlling for the significant spatial effects.

对气候变化的重新关注促使人们研究建筑环境（BE）与出行行为之间的联系，旨在为改变城市结构以减少机动出行提供循证支持。许多研究都考察了BE属性与机动化出行之间的非线性关联，但很少有研究充分考虑到空间背景问题（即空间异质性和空间依赖性）。为了填补这一空白，本研究提出了一个具有条件自回归（CAR）规范的半参数多层模型，以重新估计BE属性对机动化旅行的非线性影响，同时解决空间背景问题。我们将其应用于中国北京的家庭旅游调查数据。我们的研究结果表明，在非线性分析中考虑空间异质性和相关性可以获得更好的模型拟合。即使在控制了显著的空间效应后，地带性BE属性对家庭车辆行驶公里数也有明显的非线性影响。

{"title":"Incorporating spatial context in nonlinear relationship between built environment and driving behavior","authors":"Chuan Ding , Tiantian Liu , Xinyu Zhou , Liya Yang , Sufeng Wu","doi":"10.1016/j.trd.2025.105199","DOIUrl":"10.1016/j.trd.2025.105199","url":null,"abstract":"<div><div>Revisiting concerns over climate change have prompted research into the linkage between the built environment (BE) and travel behavior, aiming to provide evidence-based support for altering the urban fabric to reduce motorized travel. Numerous studies have examined the nonlinear associations between the BE attributes and motorized travel, but few efforts have fully accounted for the spatial context issues (i.e., spatial heterogeneity and spatial dependence). To fill this gap, this study proposes a semi-parametric multilevel model with conditional autoregressive (CAR) specification to re-estimate the nonlinear impacts of BE attributes on motorized travel while addressing the spatial context issues. We applied it to the household travel survey data from Beijing, China. Our findings indicate that including spatial heterogeneity and dependence in the nonlinear analysis leads to a superior model fit. The zonal BE attributes have clearly nonlinear impacts on household vehicle kilometers traveled (VKT) even after controlling for the significant spatial effects.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"152 ","pages":"Article 105199"},"PeriodicalIF":7.7,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885886","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

Stochastic profiles from real driving data for offline battery state estimation validation 基于实际驾驶数据的随机曲线，用于离线电池状态估计验证

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-01-02 DOI: 10.1016/j.trd.2025.105036

Franziska Berger , Araz Ismayilov , Katharina Lilith Quade , Dominik Jöst , Martin Florian Börner , Florian Ringbeck , Dirk Uwe Sauer

A crucial aspect of electric vehicle integration into sustainable transportation systems is the reliable estimation of battery states, such as the State of Charge, under realistic driving conditions to ensure the robustness of battery management systems. This work presents a method for generating stochastic power profiles using Markov chains based on real-world driving data of an electric vehicle. This data is classified into urban, rural, and highway segments, defining transition probability matrices for driving events like acceleration, deceleration, cruise, and idle. The resulting driving cycles serve as input for a vehicle model to simulate vehicle-specific power profiles, which are then used to validate three different state-of-charge estimators in a Model-in-the-Loop environment. Our results reveal significant differences in algorithm accuracy under various driving conditions. This work demonstrates the necessity for comprehensive validation using diverse, realistic profiles to ensure reliable battery state estimation, ultimately enhancing the understanding of algorithm performance.

电动汽车融入可持续交通系统的一个关键方面是在实际驾驶条件下可靠地估计电池状态，例如充电状态，以确保电池管理系统的鲁棒性。本文提出了一种基于电动汽车实际驾驶数据的马尔可夫链随机生成功率分布的方法。这些数据分为城市、农村和高速公路段，定义了加速、减速、巡航和怠速等驾驶事件的转移概率矩阵。由此产生的驾驶循环作为车辆模型的输入，以模拟车辆特定的功率分布，然后用于在模型在循环环境中验证三种不同的充电状态估计器。我们的研究结果表明，在不同的驾驶条件下，算法的准确性存在显著差异。这项工作证明了使用不同的、现实的配置文件进行全面验证的必要性，以确保可靠的电池状态估计，最终增强对算法性能的理解。

{"title":"Stochastic profiles from real driving data for offline battery state estimation validation","authors":"Franziska Berger , Araz Ismayilov , Katharina Lilith Quade , Dominik Jöst , Martin Florian Börner , Florian Ringbeck , Dirk Uwe Sauer","doi":"10.1016/j.trd.2025.105036","DOIUrl":"10.1016/j.trd.2025.105036","url":null,"abstract":"<div><div>A crucial aspect of electric vehicle integration into sustainable transportation systems is the reliable estimation of battery states, such as the State of Charge, under realistic driving conditions to ensure the robustness of battery management systems. This work presents a method for generating stochastic power profiles using Markov chains based on real-world driving data of an electric vehicle. This data is classified into urban, rural, and highway segments, defining transition probability matrices for driving events like acceleration, deceleration, cruise, and idle. The resulting driving cycles serve as input for a vehicle model to simulate vehicle-specific power profiles, which are then used to validate three different state-of-charge estimators in a Model-in-the-Loop environment. Our results reveal significant differences in algorithm accuracy under various driving conditions. This work demonstrates the necessity for comprehensive validation using diverse, realistic profiles to ensure reliable battery state estimation, ultimately enhancing the understanding of algorithm performance.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"152 ","pages":"Article 105036"},"PeriodicalIF":7.7,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885821","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