Transportation Research Part D-transport and Environment最新文献_第9页

Charging behavior differences between BEVs and PHEVs: Evidence from vehicle log data 纯电动汽车和插电式混合动力车的充电行为差异：来自车辆日志数据的证据

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-21 DOI: 10.1016/j.trd.2025.105094

Aoi Watanabe , Ken Hidaka , Tomoki Nishi , Takeyuki Sasai , Shintaro Fukushima

Battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) are central to transport decarbonization, yet most studies analyze them separately, limiting direct comparison. This study leverages large-scale vehicle log data from Japan and a unified mixed logit framework that enables statistically consistent comparison of BEV and PHEV users while capturing user heterogeneity. The estimation reveals average-level systematic contrasts only in three dimensions: BEVs respond more strongly to state of charge and increase charging with longer trips, whereas PHEVs reduce charging on longer trips and are more reluctant to use public chargers. A policy simulation highlights similarly divergent responses: home-charger installation sharply reduces public charging for BEVs (-63 %) but fosters regular home charging for PHEVs (about 6.3 times per month). Importantly, BEV users retain bimodal reliance on public charging, while PHEV users converge toward predominantly home-based charging. These findings underscore the need for both vehicle-specific and user-specific charging policies.

纯电动汽车（bev）和插电式混合动力汽车（phev）是交通运输脱碳的核心，但大多数研究将它们分开分析，限制了直接比较。本研究利用了来自日本的大规模车辆日志数据和统一的混合日志框架，在捕获用户异质性的同时，实现了纯电动汽车和插电式混合动力汽车用户的统计一致性比较。该估计仅在三个维度上揭示了平均水平的系统对比：纯电动汽车对充电状态的反应更强烈，并且在更长的行程中增加充电，而插电式混合动力车在更长的行程中减少充电，并且更不愿意使用公共充电器。一项政策模拟显示了类似的不同反应：家庭充电器的安装大幅减少了纯电动汽车的公共充电（减少了63%），但却促进了插电式混合动力车的定期家庭充电（每月约6.3次）。重要的是，纯电动汽车用户仍然依赖公共充电，而插电式混合动力汽车用户则主要倾向于家庭充电。这些发现强调了制定针对车辆和用户的收费政策的必要性。

{"title":"Charging behavior differences between BEVs and PHEVs: Evidence from vehicle log data","authors":"Aoi Watanabe , Ken Hidaka , Tomoki Nishi , Takeyuki Sasai , Shintaro Fukushima","doi":"10.1016/j.trd.2025.105094","DOIUrl":"10.1016/j.trd.2025.105094","url":null,"abstract":"<div><div>Battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) are central to transport decarbonization, yet most studies analyze them separately, limiting direct comparison. This study leverages large-scale vehicle log data from Japan and a unified mixed logit framework that enables statistically consistent comparison of BEV and PHEV users while capturing user heterogeneity. The estimation reveals average-level systematic contrasts only in three dimensions: BEVs respond more strongly to state of charge and increase charging with longer trips, whereas PHEVs reduce charging on longer trips and are more reluctant to use public chargers. A policy simulation highlights similarly divergent responses: home-charger installation sharply reduces public charging for BEVs (-63 %) but fosters regular home charging for PHEVs (about 6.3 times per month). Importantly, BEV users retain bimodal reliance on public charging, while PHEV users converge toward predominantly home-based charging. These findings underscore the need for both vehicle-specific and user-specific charging policies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105094"},"PeriodicalIF":7.7,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145567504","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

Linking freight transport and energy system models for strategic investments decisions 将货运和能源系统模型与战略投资决策联系起来

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-21 DOI: 10.1016/j.trd.2025.105114

Céline Pagnier , Steffen J.S. Bakker , Pernille Seljom

Decarbonizing the transport sector calls for investments that align freight transport with energy systems. Freight transport and energy system models are commonly employed to guide such decisions, yet they often operate in isolation, neglecting interdependencies between transport energy demand and the evolution of energy-related infrastructure. To address this gap, we establish a quantitative framework linking two models: IFE-TIMES-Norway, a linear programming-based energy system model, and STraM, a multi-stage stochastic mixed-integer linear program for freight transport infrastructure planning. STraM informs IFE-TIMES-Norway with modal and fuel splits, while IFE-TIMES-Norway enriches STraM with detailed insights into fuel costs and constraints on energy infrastructure investments. Applied to a Norwegian case study, the framework significantly alters model outputs, including energy mix in freight transport and the scale and location of infrastructure investments such as charging stations. A single iteration of information exchange, as often seen in the literature, proves insufficient for achieving stable results.

运输部门的脱碳需要将货运与能源系统结合起来的投资。货运和能源系统模型通常用于指导此类决策，但它们往往是孤立运作的，忽视了运输能源需求与能源相关基础设施发展之间的相互依赖关系。为了解决这一差距，我们建立了一个连接两个模型的定量框架：life - times - norway，一个基于线性规划的能源系统模型，以及STraM，一个用于货运基础设施规划的多阶段随机混合整数线性规划。STraM为life - times - norway提供了模态和燃料划分信息，而life - times - norway则为STraM提供了燃料成本和能源基础设施投资限制的详细见解。应用于挪威的案例研究，该框架显著改变了模型输出，包括货运中的能源结构以及充电站等基础设施投资的规模和位置。文献中经常看到的信息交换的单一迭代不足以获得稳定的结果。

{"title":"Linking freight transport and energy system models for strategic investments decisions","authors":"Céline Pagnier , Steffen J.S. Bakker , Pernille Seljom","doi":"10.1016/j.trd.2025.105114","DOIUrl":"10.1016/j.trd.2025.105114","url":null,"abstract":"<div><div>Decarbonizing the transport sector calls for investments that align freight transport with energy systems. Freight transport and energy system models are commonly employed to guide such decisions, yet they often operate in isolation, neglecting interdependencies between transport energy demand and the evolution of energy-related infrastructure. To address this gap, we establish a quantitative framework linking two models: IFE-TIMES-Norway, a linear programming-based energy system model, and STraM, a multi-stage stochastic mixed-integer linear program for freight transport infrastructure planning. STraM informs IFE-TIMES-Norway with modal and fuel splits, while IFE-TIMES-Norway enriches STraM with detailed insights into fuel costs and constraints on energy infrastructure investments. Applied to a Norwegian case study, the framework significantly alters model outputs, including energy mix in freight transport and the scale and location of infrastructure investments such as charging stations. A single iteration of information exchange, as often seen in the literature, proves insufficient for achieving stable results.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105114"},"PeriodicalIF":7.7,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145560109","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

Enhancing resilience and sustainability: an inductive approach to innovations in cruise industry 增强弹性和可持续性：邮轮行业创新的归纳方法

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-20 DOI: 10.1016/j.trd.2025.105118

Muhammad Hasan Ashraf , Naima Saeed , Kevin Cullinane , Martin Dresner

This study identifies key challenges to achieving a resilient and sustainable cruise industry, examines stakeholder actions, and proposes strategies to balance these objectives. Employing a qualitative multi-method approach, it develops a theoretical framework for a resilient and sustainable cruise industry grounded in multi-level, multi-dimensional, and multi-stakeholder perspectives. The research design combines: (1) a review of extant literature to identify key challenges and proposed strategies related to resilience and sustainability; and (2) a case study utilizing semi-structured interviews with key industry stakeholders to validate the literature review findings and uncover additional insights not readily accessible through published sources. By jointly examining resilience and sustainability, two objectives often studied in isolation, this study contributes to the cruise operations literature by offering a holistic and integrated framework. Additionally, it contributes to practice by providing actionable guidance for stakeholders aiming to foster an industry that is adaptable to disruption and committed to sustainable development.

本研究确定了实现弹性和可持续邮轮行业的关键挑战，检查了利益相关者的行动，并提出了平衡这些目标的策略。采用定性的多方法方法，它建立了一个基于多层次、多维度和多利益相关者视角的弹性和可持续邮轮产业的理论框架。研究设计包括：(1)对现有文献的回顾，以确定与弹性和可持续性相关的关键挑战和提出的策略；(2)利用与主要行业利益相关者的半结构化访谈进行案例研究，以验证文献综述的发现，并揭示不易通过公开来源获得的其他见解。通过联合研究复原力和可持续性这两个通常单独研究的目标，本研究通过提供一个整体和综合的框架，为邮轮运营文献做出了贡献。此外，它还通过为利益相关者提供可操作的指导来促进实践，旨在培育一个适应破坏并致力于可持续发展的行业。

{"title":"Enhancing resilience and sustainability: an inductive approach to innovations in cruise industry","authors":"Muhammad Hasan Ashraf , Naima Saeed , Kevin Cullinane , Martin Dresner","doi":"10.1016/j.trd.2025.105118","DOIUrl":"10.1016/j.trd.2025.105118","url":null,"abstract":"<div><div>This study identifies key challenges to achieving a resilient and sustainable cruise industry, examines stakeholder actions, and proposes strategies to balance these objectives. Employing a qualitative multi-method approach, it develops a theoretical framework for a resilient and sustainable cruise industry grounded in multi-level, multi-dimensional, and multi-stakeholder perspectives. The research design combines: (1) a review of extant literature to identify key challenges and proposed strategies related to resilience and sustainability; and (2) a case study utilizing semi-structured interviews with key industry stakeholders to validate the literature review findings and uncover additional insights not readily accessible through published sources. By jointly examining resilience and sustainability, two objectives often studied in isolation, this study contributes to the cruise operations literature by offering a holistic and integrated framework. Additionally, it contributes to practice by providing actionable guidance for stakeholders aiming to foster an industry that is adaptable to disruption and committed to sustainable development.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105118"},"PeriodicalIF":7.7,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145559667","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

Graph-theoretic analysis of vehicle ownership dynamics and regional fuel transitions in India 印度汽车拥有量动态和区域燃料转换的图论分析

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-20 DOI: 10.1016/j.trd.2025.105099

Baibhav Mohanty, Suprava Mishra, Agnivesh Pani

This research examines the changing landscape of vehicle ownership across India’s heterogeneous regional markets, where fuel adoption shows considerable spatio-temporal variation. The analysis focuses on four major fuel types (petrol, diesel, electric vehicles-EVs, and compressed natural gas-CNG) to understand the functional similarities across regions, by using proximity-based analysis with the Revealed Comparative Advantage (RCA) framework and applies graph-theoretic community detection algorithms, namely Louvain and Leiden. The resulting clusters represent distinct market typologies, ranging from affluent urban regions with strong growth in cleaner fuel registrations to areas that remain heavily reliant on conventional fuels. Furthermore, forecasting performance is evaluated using Composite Goodness-of-Fit (CGF) measure, reflects a 57% improvement in predictive accuracy when using clustered Prophet model compared to the unclustered SARIMA model. The findings identified the behavioural linkages and varying degrees of transition readiness, offering a systematic perspective on India’s ongoing transition toward cleaner vehicle technologies.

本研究考察了印度异质区域市场中不断变化的汽车所有权格局，其中燃料采用显示出相当大的时空变化。该分析侧重于四种主要燃料类型（汽油、柴油、电动汽车和压缩天然气），通过使用基于邻近度的分析和显示比较优势（RCA）框架，并应用图论社区检测算法，即Louvain和Leiden，来了解不同地区的功能相似性。由此产生的集群代表了不同的市场类型，从清洁燃料注册量强劲增长的富裕城市地区到仍然严重依赖传统燃料的地区。此外，使用复合拟合优度（CGF）测量来评估预测性能，与未聚类的SARIMA模型相比，使用聚类Prophet模型的预测精度提高了57%。调查结果确定了行为联系和不同程度的过渡准备，为印度正在向更清洁的汽车技术过渡提供了系统的视角。

{"title":"Graph-theoretic analysis of vehicle ownership dynamics and regional fuel transitions in India","authors":"Baibhav Mohanty, Suprava Mishra, Agnivesh Pani","doi":"10.1016/j.trd.2025.105099","DOIUrl":"10.1016/j.trd.2025.105099","url":null,"abstract":"<div><div>This research examines the changing landscape of vehicle ownership across India’s heterogeneous regional markets, where fuel adoption shows considerable spatio-temporal variation. The analysis focuses on four major fuel types (petrol, diesel, electric vehicles-EVs, and compressed natural gas-CNG) to understand the functional similarities across regions, by using proximity-based analysis with the Revealed Comparative Advantage (RCA) framework and applies graph-theoretic community detection algorithms, namely Louvain and Leiden. The resulting clusters represent distinct market typologies, ranging from affluent urban regions with strong growth in cleaner fuel registrations to areas that remain heavily reliant on conventional fuels. Furthermore, forecasting performance is evaluated using Composite Goodness-of-Fit (CGF) measure, reflects a 57% improvement in predictive accuracy when using clustered Prophet model compared to the unclustered SARIMA model. The findings identified the behavioural linkages and varying degrees of transition readiness, offering a systematic perspective on India’s ongoing transition toward cleaner vehicle technologies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105099"},"PeriodicalIF":7.7,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145553969","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

Exploring dynamic attitudes to hydrogen energy vehicles: Evidence from China’s media 探索对氢能源汽车的动态态度：来自中国媒体的证据

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-19 DOI: 10.1016/j.trd.2025.105120

Yu Bai , Xiaoting Zhou , Jinling Tan , Xiaomin Ding

Hydrogen energy vehicles (HEVs) are crucial for reducing transportation emissions. Grounded in the Technology Acceptance Model (TAM), this study is the first to examine attitudes toward HEVs using large-scale data from mainstream and social media. Latent Dirichlet Allocation (LDA) topic modeling and SnowNLP sentiment analysis were employed to dynamically measure attitudes toward HEVs in Chinese media. The results indicate that, from 2019 to 2024: (1) social media discussions focused on performance, safety, patents, China–Japan hydrogen technology, costs, and safety, whereas mainstream media emphasized subsidies, corporate transformation, technological advancements, industry collaboration, consumer markets, and intelligent vehicles; (2) as attention to HEVs increased, negative real-time comments declined from 70.5 % to 53 %; (3) discussions on social media generally recognized the technological and environmental benefits, market potential, and performance of HEVs, while expressing concerns about safety, costs, incentives, and infrastructure. This study provides valuable insights into attitudes toward HEVs, supporting their development and promotion.

氢能源汽车（hev）对于减少交通排放至关重要。本研究以技术接受模型（TAM）为基础，首次使用主流媒体和社交媒体的大规模数据来调查人们对混合动力汽车的态度。采用潜在狄利克雷分配（Latent Dirichlet Allocation， LDA）主题模型和SnowNLP情感分析对中国媒体对混合动力汽车的态度进行动态测量。结果表明：2019 - 2024年，社交媒体讨论主要集中在性能、安全、专利、中日氢能技术、成本和安全等方面，主流媒体则强调补贴、企业转型、技术进步、产业协作、消费市场和智能汽车等方面；(2)随着对混合动力汽车关注度的提高，实时负面评论从70.5%下降到53%；(3)社交媒体上的讨论普遍认可混合动力汽车的技术和环境效益、市场潜力和性能，同时表达了对安全、成本、激励和基础设施的担忧。这项研究为人们对混合动力汽车的态度提供了有价值的见解，为其发展和推广提供了支持。

{"title":"Exploring dynamic attitudes to hydrogen energy vehicles: Evidence from China’s media","authors":"Yu Bai , Xiaoting Zhou , Jinling Tan , Xiaomin Ding","doi":"10.1016/j.trd.2025.105120","DOIUrl":"10.1016/j.trd.2025.105120","url":null,"abstract":"<div><div>Hydrogen energy vehicles (HEVs) are crucial for reducing transportation emissions. Grounded in the Technology Acceptance Model (TAM), this study is the first to examine attitudes toward HEVs using large-scale data from mainstream and social media. Latent Dirichlet Allocation (LDA) topic modeling and SnowNLP sentiment analysis were employed to dynamically measure attitudes toward HEVs in Chinese media. The results indicate that, from 2019 to 2024: (1) social media discussions focused on performance, safety, patents, China–Japan hydrogen technology, costs, and safety, whereas mainstream media emphasized subsidies, corporate transformation, technological advancements, industry collaboration, consumer markets, and intelligent vehicles; (2) as attention to HEVs increased, negative real-time comments declined from 70.5 % to 53 %; (3) discussions on social media generally recognized the technological and environmental benefits, market potential, and performance of HEVs, while expressing concerns about safety, costs, incentives, and infrastructure. This study provides valuable insights into attitudes toward HEVs, supporting their development and promotion.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105120"},"PeriodicalIF":7.7,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145554256","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

Well-to-wheel emission of electric vehicles: Influence of driving cycles, grid composition, policies 电动汽车从井到轮的排放：驾驶周期、电网构成、政策的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-19 DOI: 10.1016/j.trd.2025.105116

Aishree Boruah , Digvijay Sampatrao Pawar , Prashanth Sri Putcha , Pritha Chatterjee

Electric vehicle (EV) emission reduction potential varies by region due to traffic conditions, electricity grid mix, and local policies. This study presents a framework for estimating Well-to-Wheel (WTW) emissions of electric four-wheelers using tailored driving cycles and local electricity grid consumption data. Tailored driving cycles, developed through a hybrid genetic algorithm-based approach, reflect mixed traffic conditions in two Indian cities. Energy consumption from developed driving cycles, combined with regional grid emissions, yields an emission factor of 204 gCO₂/km in the cleaner-grid and 226 gCO₂/km in the coal-dependent region. Sensitivity analysis shows driving cycle variation affects WTW factors more than the grid mix, raising emissions by 91.2–128.7% compared to standard tests. State-level emission projections show near-zero WTW emissions by 2060 (low-carbon) and 2070 (net-zero) due to grid decarbonization. The results highlight the need for localized emission modeling to capture spatial disparities and support more effective, region-specific sustainable mobility policies.

电动汽车（EV）的减排潜力因地区交通状况、电网结构和当地政策而异。本研究提出了一个框架，利用定制的驾驶周期和当地电网消耗数据来估计电动四轮车的井到轮（WTW）排放。通过基于混合遗传算法的方法开发的量身定制的驾驶周期，反映了两个印度城市的混合交通状况。发达驾驶循环的能源消耗，加上区域电网的排放，在清洁电网中产生的排放系数为204克二氧化碳/公里，在依赖煤炭的地区产生的排放系数为226克二氧化碳/公里。敏感性分析表明，工况变化对WTW因素的影响大于电网混合，与标准测试相比，排放增加了91.2-128.7%。州级排放预测显示，由于电网脱碳，到2060年（低碳）和2070年（净零），WTW排放将接近于零。研究结果强调，需要建立局域化的排放模型，以捕捉空间差异，并支持更有效的、特定区域的可持续交通政策。

{"title":"Well-to-wheel emission of electric vehicles: Influence of driving cycles, grid composition, policies","authors":"Aishree Boruah , Digvijay Sampatrao Pawar , Prashanth Sri Putcha , Pritha Chatterjee","doi":"10.1016/j.trd.2025.105116","DOIUrl":"10.1016/j.trd.2025.105116","url":null,"abstract":"<div><div>Electric vehicle (EV) emission reduction potential varies by region due to traffic conditions, electricity grid mix, and local policies. This study presents a framework for estimating Well-to-Wheel (WTW) emissions of electric four-wheelers using tailored driving cycles and local electricity grid consumption data. Tailored driving cycles, developed through a hybrid genetic algorithm-based approach, reflect mixed traffic conditions in two Indian cities. Energy consumption from developed driving cycles, combined with regional grid emissions, yields an emission factor of 204 gCO<sub>2</sub>/km in the cleaner-grid and 226 gCO<sub>2</sub>/km in the coal-dependent region. Sensitivity analysis shows driving cycle variation affects WTW factors more than the grid mix, raising emissions by 91.2–128.7% compared to standard tests. State-level emission projections show near-zero WTW emissions by 2060 (low-carbon) and 2070 (net-zero) due to grid decarbonization. The results highlight the need for localized emission modeling to capture spatial disparities and support more effective, region-specific sustainable mobility policies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105116"},"PeriodicalIF":7.7,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145559668","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

Impact of road density on the coupling of forest resilience and fragmentation 道路密度对森林恢复力与破碎化耦合的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-17 DOI: 10.1016/j.trd.2025.105119

Weiguo Qiu , Miaomiao Liu , Qingjie Fu , Zhanyong Wang , Lanyi Zhang , Li Jiang , Mengwei Li , Xisheng Hu

Road construction profoundly affects forest landscapes, but its impact on the coupling between forest resilience and fragmentation remains underexplored. Thus, we calculated kernel density estimation (KDE) as an indicator of road density and quantified spatiotemporal dynamics of forest resilience and fragmentation in China from 2010 to 2020. We further examined how road density influences the coupling between forest resilience and fragmentation. Results showed that: (1) Forest resilience increased nationally, and fragmentation declined in most regions. (2) Bivariate spatial autocorrelation between coupling dynamics and KDE revealed high–high clusters in the Yangtze and Pearl River Deltas, and low–low in Daxinganling and southwestern Tibet. (3) SHapley Additive exPlanations showed that high KDE contributed positively and low KDE contributed negatively to coupling dynamics; multiscale geographically weighted regression revealed stronger synergistic effects in the pan-south and weaker in the northeast. This study offers quantitative insights into sustainable road planning and supports ecological restoration strategies.

道路建设对森林景观有着深刻的影响，但其对森林恢复力与破碎化耦合的影响尚不充分。为此，我们计算了核密度估算（KDE）作为道路密度的指标，并量化了2010 - 2020年中国森林恢复力和破碎化的时空动态。我们进一步研究了道路密度如何影响森林恢复力和破碎化之间的耦合。结果表明：①全国森林恢复力增强，大部分地区破碎化程度下降；(3) SHapley加性解释表明，高KDE对耦合动力学有正向贡献，低KDE对耦合动力学有负向贡献；多尺度地理加权回归显示，泛南方的协同效应较强，东北地区的协同效应较弱。该研究为可持续道路规划和支持生态恢复策略提供了定量见解。

{"title":"Impact of road density on the coupling of forest resilience and fragmentation","authors":"Weiguo Qiu , Miaomiao Liu , Qingjie Fu , Zhanyong Wang , Lanyi Zhang , Li Jiang , Mengwei Li , Xisheng Hu","doi":"10.1016/j.trd.2025.105119","DOIUrl":"10.1016/j.trd.2025.105119","url":null,"abstract":"<div><div>Road construction profoundly affects forest landscapes, but its impact on the coupling between forest resilience and fragmentation remains underexplored. Thus, we calculated kernel density estimation (KDE) as an indicator of road density and quantified spatiotemporal dynamics of forest resilience and fragmentation in China from 2010 to 2020. We further examined how road density influences the coupling between forest resilience and fragmentation. Results showed that: (1) Forest resilience increased nationally, and fragmentation declined in most regions. (2) Bivariate spatial autocorrelation between coupling dynamics and KDE revealed high–high clusters in the Yangtze and Pearl River Deltas, and low–low in Daxinganling and southwestern Tibet. (3) SHapley Additive exPlanations showed that high KDE contributed positively and low KDE contributed negatively to coupling dynamics; multiscale geographically weighted regression revealed stronger synergistic effects in the pan-south and weaker in the northeast. This study offers quantitative insights into sustainable road planning and supports ecological restoration strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105119"},"PeriodicalIF":7.7,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145554252","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

Enhancing bikeshare systems with e-bikes in semi-hilly Cities: Insights from Washington D.C 在半丘陵城市用电动自行车加强自行车共享系统：来自华盛顿特区的见解

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-17 DOI: 10.1016/j.trd.2025.105097

Vahid Bakhshi , Kuldeep Dixit , Mohammad Abrari Vajari , Xiao Qin , Alireza Ermagun , Steve Hankey , Ralph Buehler

This study investigates spatial and temporal usage patterns of e-bikes and regular bikes within the Capital Bikeshare system in Washington, D.C. Based on over 6 million bikeshare trips, the analysis highlights distinct usage patterns shaped by the city’s semi-hilly terrain and bikeshare station placement. Comparing e-bikes and regular bikes, two main distinctions emerge: (i) e-bikes are predominantly used for longer distances and in areas with greater elevation (2.27 km vs. 1.73 km; 1.38% vs. 1.12% average slopes), and (ii) e-bikes enable broader dispersion across the city by connecting more distant bikeshare stations and supporting extended mobility. This disparity underscores the adaptability of e-bikes to more challenging urban terrains and longer trip distances. The findings are useful for urban planners and practitioners aiming to optimize bikeshare systems and suggest that incorporating e-bikes can address mobility challenges related to topography and trip distance.

本研究调查了华盛顿特区首都共享单车系统内电动自行车和普通自行车的时空使用模式。基于超过600万次的共享单车出行，分析突出了城市半丘陵地形和共享单车站位置形成的独特使用模式。将电动自行车与普通自行车进行比较，可以发现两个主要区别：(i)电动自行车主要用于长距离和高海拔地区（2.27公里vs 1.73公里；平均坡度1.38% vs 1.12%）；（ii）电动自行车通过连接更远的共享单车站和支持更广泛的机动性，使城市更广泛地分散开来。这种差异强调了电动自行车对更具挑战性的城市地形和更长的旅行距离的适应性。研究结果对旨在优化共享单车系统的城市规划者和实践者很有帮助，并表明纳入电动自行车可以解决与地形和行程距离相关的移动性挑战。

{"title":"Enhancing bikeshare systems with e-bikes in semi-hilly Cities: Insights from Washington D.C","authors":"Vahid Bakhshi , Kuldeep Dixit , Mohammad Abrari Vajari , Xiao Qin , Alireza Ermagun , Steve Hankey , Ralph Buehler","doi":"10.1016/j.trd.2025.105097","DOIUrl":"10.1016/j.trd.2025.105097","url":null,"abstract":"<div><div>This study investigates spatial and temporal usage patterns of e-bikes and regular bikes within the Capital Bikeshare system in Washington, D.C. Based on over 6 million bikeshare trips, the analysis highlights distinct usage patterns shaped by the city’s semi-hilly terrain and bikeshare station placement. Comparing e-bikes and regular bikes, two main distinctions emerge: (i) e-bikes are predominantly used for longer distances and in areas with greater elevation (2.27 km vs. 1.73 km; 1.38% vs. 1.12% average slopes), and (ii) e-bikes enable broader dispersion across the city by connecting more distant bikeshare stations and supporting extended mobility. This disparity underscores the adaptability of e-bikes to more challenging urban terrains and longer trip distances. The findings are useful for urban planners and practitioners aiming to optimize bikeshare systems and suggest that incorporating e-bikes can address mobility challenges related to topography and trip distance.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105097"},"PeriodicalIF":7.7,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145553975","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

Driving behavior shapes PHEV brake energy and brake wear particle emissions 驾驶行为影响PHEV制动能量和制动磨损颗粒排放

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-17 DOI: 10.1016/j.trd.2025.105087

Rui Hu , Jintao Zheng , Xinyi Chen , Li Li , Yonghong Liu

Driving behavior strongly influences both energy efficiency and non-exhaust emissions of plug-in hybrid electric vehicles (PHEVs), yet quantitative evidence comparing adaptive cruise control (ACC) and human braking is scarce. We instrumented a PHEV on mountainous Chongqing roads and extracted >3000 braking events classified as normal, aggressive, or ACC across peak/off-peak traffic and benchmarked against nine standard cycles. Regenerative efficiency ranked normal 64 % > ACC 58 % > aggressive 53 %. Over 90 % of aggressive-mode friction energy occurred beyond the power limit of regenerative braking system (RBS); increasing RBS deceleration/power limits could regenerate 12–18 % additional braking energy. Estimated brake-wear PM₁₀ under aggressive driving was 2–4 times normal and often exceeded MOVES3/COPERT emission factors, indicating that inventory models underpredict where hard braking dominates. Behavior-energy-emission profiling suggests three levers: behavior-aware ACC tuning, higher-performance RBS hardware, and emission factors calibrated to local traffic and driving heterogeneity.

驾驶行为对插电式混合动力汽车（phev）的能源效率和非废气排放有很大影响，但比较自适应巡航控制（ACC）和人为制动的定量证据很少。我们在重庆山区的道路上测试了一辆插电式混合动力汽车，并提取了3000个在高峰/非高峰交通中被分类为正常、剧烈或ACC的制动事件，并以9个标准循环为基准。再生效率排名正常64%；ACC 58%；进取53%。超过90%的主动模式摩擦能量发生在再生制动系统（RBS）的功率限制之外；提高RBS减速/功率限制可再生12 - 18%的额外制动能量。在积极驾驶下，估计的制动器磨损PM10是正常情况的2-4倍，并且经常超过MOVES3/COPERT排放因子，这表明库存模型低估了硬制动占主导地位的情况。行为-能量-排放分析提出了三个杠杆：行为感知ACC调优、更高性能的RBS硬件以及针对本地流量和驱动异质性进行校准的排放因子。

{"title":"Driving behavior shapes PHEV brake energy and brake wear particle emissions","authors":"Rui Hu , Jintao Zheng , Xinyi Chen , Li Li , Yonghong Liu","doi":"10.1016/j.trd.2025.105087","DOIUrl":"10.1016/j.trd.2025.105087","url":null,"abstract":"<div><div>Driving behavior strongly influences both energy efficiency and non-exhaust emissions of plug-in hybrid electric vehicles (PHEVs), yet quantitative evidence comparing adaptive cruise control (ACC) and human braking is scarce. We instrumented a PHEV on mountainous Chongqing roads and extracted >3000 braking events classified as normal, aggressive, or ACC across peak/off-peak traffic and benchmarked against nine standard cycles. Regenerative efficiency ranked normal 64 % > ACC 58 % > aggressive 53 %. Over 90 % of aggressive-mode friction energy occurred beyond the power limit of regenerative braking system (RBS); increasing RBS deceleration/power limits could regenerate 12–18 % additional braking energy. Estimated brake-wear PM<sub>10</sub> under aggressive driving was 2–4 times normal and often exceeded MOVES3/COPERT emission factors, indicating that inventory models underpredict where hard braking dominates. Behavior-energy-emission profiling suggests three levers: behavior-aware ACC tuning, higher-performance RBS hardware, and emission factors calibrated to local traffic and driving heterogeneity.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105087"},"PeriodicalIF":7.7,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145554255","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

Last-mile transit PM2.5 under ultra low emission zone: a network-based exposure assessment 超低排放区下最后一公里交通PM2.5：基于网络的暴露评估

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-11-16 DOI: 10.1016/j.trd.2025.105117

Qi Long , Jun Ma , Cui Guo , Feifeng Jiang

Evaluating the hyper-local effectiveness of transport policies like the Ultra Low Emission Zone (ULEZ) on commuter air pollution exposure is critical for urban health yet remains challenging. Existing studies often lack high-resolution pollution data integrated with realistic pedestrian pathways, which constrains precise exposure evaluation. This study proposes an innovative framework that combines machine learning-based spatial–temporal street-level air pollution (SLAP) estimation with a network-based metric, the Public Transit-oriented Exposure Value (PTEV), to quantify last-mile cumulative PM2.5 exposure within a station’s walkable service areas. Applying this framework to pre- and post-ULEZ periods in London, we find that while the policy reduced overall exposure, a central transit hub persisted as a high-risk hotspot, revealing significant spatial heterogeneity in policy impact. Our research contributes a replicable, fine-scale methodology for assessing transport-environment interactions, providing critical evidence for targeted planning to mitigate commuter health risks within complex urban transport systems.

评估超低排放区（ULEZ）等交通政策对通勤者空气污染暴露的超局部有效性对城市健康至关重要，但仍具有挑战性。现有的研究往往缺乏与真实行人路径相结合的高分辨率污染数据，这限制了精确的暴露评估。本研究提出了一个创新的框架，将基于机器学习的时空街道空气污染（SLAP）估计与基于网络的度量标准——公共交通导向暴露值（PTEV）结合起来，量化车站可步行服务区内最后一英里的累积PM2.5暴露。将这一框架应用于伦敦超低排放区前后，我们发现，虽然政策降低了总体风险，但中央交通枢纽仍然是一个高风险热点，揭示了政策影响的显著空间异质性。我们的研究为评估交通与环境的相互作用提供了一种可复制的、精细尺度的方法，为有针对性的规划提供了关键证据，以减轻复杂城市交通系统中通勤者的健康风险。

{"title":"Last-mile transit PM2.5 under ultra low emission zone: a network-based exposure assessment","authors":"Qi Long , Jun Ma , Cui Guo , Feifeng Jiang","doi":"10.1016/j.trd.2025.105117","DOIUrl":"10.1016/j.trd.2025.105117","url":null,"abstract":"<div><div>Evaluating the hyper-local effectiveness of transport policies like the Ultra Low Emission Zone (ULEZ) on commuter air pollution exposure is critical for urban health yet remains challenging. Existing studies often lack high-resolution pollution data integrated with realistic pedestrian pathways, which constrains precise exposure evaluation. This study proposes an innovative framework that combines machine learning-based spatial–temporal street-level air pollution (SLAP) estimation with a network-based metric, the Public Transit-oriented Exposure Value (PTEV), to quantify last-mile cumulative PM2.5 exposure within a station’s walkable service areas. Applying this framework to pre- and post-ULEZ periods in London, we find that while the policy reduced overall exposure, a central transit hub persisted as a high-risk hotspot, revealing significant spatial heterogeneity in policy impact. Our research contributes a replicable, fine-scale methodology for assessing transport-environment interactions, providing critical evidence for targeted planning to mitigate commuter health risks within complex urban transport systems.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"150 ","pages":"Article 105117"},"PeriodicalIF":7.7,"publicationDate":"2025-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145554487","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