Transportation Research Part D-transport and Environment最新文献

英文中文

Modelling potential demand for cycling in a small city and surrounding region 模拟小城市及周边地区对自行车的潜在需求

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-15 DOI: 10.1016/j.trd.2025.105115

William Brazil , Karen Whitaker , Robert Egan , Abhilash C. Singh , Barry Colleary , Brian Caulfield

Increased cycling for non-leisure purposes is often proposed as a solution to the negative externalities of car-dependent transport systems, offering a cheap, fast, and flexible alternative. Public discourse frequently assumes mass cycling uptake will displace car trips over short distances. However, transport systems are complex, and such direct car-to-bicycle substitution cannot be assumed. This study examines the potential for increased cycling in Cork City and its region using a regional strategic transport model across scenarios incorporating improved infrastructure and more favourable cycling perceptions. Analysis uses the National Transport Authority’s Regional Modelling System for the Southwest (Cork), a four-stage model calibrated with Irish census and survey data and containing the country’s most detailed coded cycling network. Mode choice constants are adjusted and benchmarked to walking, and cycling speeds increased to reflect network upgrades. Results suggest significant potential for cycling uptake, but most trips diverted to cycling come from other sustainable modes (walking and public transport). Even optimistic scenarios yield only modest emissions reductions, highlighting the complex dynamics of modal shift and the need for complementary demand management measures to reduce car use effectively.

增加非休闲目的的自行车经常被提议作为一种解决依赖汽车的交通系统的负面外部性的方法，提供了一种廉价、快速和灵活的替代方案。公共话语经常假设大众骑自行车将取代短距离的汽车出行。然而，交通系统是复杂的，不能假设这种直接的汽车到自行车的替代。本研究考察了科克市及其地区增加自行车骑行的潜力，采用了一种跨场景的区域战略交通模型，包括改善基础设施和更有利的骑行观念。分析使用了国家交通管理局的西南区域建模系统（科克），这是一个四阶段模型，根据爱尔兰人口普查和调查数据进行校准，并包含了该国最详细的编码自行车网络。模式选择常数调整和基准步行，骑自行车的速度增加，以反映网络升级。研究结果表明，自行车的使用潜力巨大，但大多数转向骑自行车的旅行都来自其他可持续模式（步行和公共交通）。即使是乐观的情况也只能产生适度的减排，这突出了模式转变的复杂动态以及有效减少汽车使用的补充需求管理措施的必要性。

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引用次数: 0

Noise and vibration in metro rail transit systems 地铁轨道交通系统的噪声与振动

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-11-29 DOI: 10.1016/j.trd.2025.105124

Shashi Kant Tiwari , Rakesh Kumar , Naveen Garg

The study offers systematic overview of the mechanisms, evaluation, and mitigation of noise and vibration in Metro Rail Transit Systems (MRTS) and high-speed rail corridor. It discusses about advanced empirical noise and vibration predictive models, and clarifies their limitations and applicability. Cutting-edge mitigation solutions such as acoustic barriers, resilient track infrastructure, and vibration-isolating materials are critically assessed. The study also highlights the physiological and psychological impacts of long-term noise and vibration exposure. Despite significant progress, the study underscores persisting challenges in developing context-specific mitigation strategies for developing countries like India. The paper concludes by outlining existing research gaps and proposing targeted recommendations for policymakers, transportation engineers, and urban infrastructure planners to promote sustainable and resilient rail transit infrastructure.

本研究系统地概述了地铁轨道交通系统（MRTS）和高速铁路走廊的噪声和振动的机制、评估和缓解。讨论了先进的经验噪声和振动预测模型，并阐明了它们的局限性和适用性。对声学屏障、弹性轨道基础设施和隔振材料等尖端缓解解决方案进行了严格评估。该研究还强调了长期接触噪音和振动对生理和心理的影响。尽管取得了重大进展，但该研究强调，在为印度等发展中国家制定针对具体情况的缓解战略方面仍然存在挑战。最后，本文概述了现有的研究差距，并为政策制定者、交通工程师和城市基础设施规划者提出了有针对性的建议，以促进可持续和有弹性的轨道交通基础设施。

引用次数: 0

Digital twin applications for transportation decarbonization and air quality improvement 数字孪生应用于交通脱碳和空气质量改善

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-11-14 DOI: 10.1016/j.trd.2025.105112

Jinghui Wang, Hao Yang, Hongdi He, Fatemeh Fakhrmoosavi

引用次数: 0

Assessment of intended electric vehicle charging behaviours during wildfire evacuations 野火疏散期间电动汽车充电行为的评估

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-12 DOI: 10.1016/j.trd.2025.105145

Mohammad Hossein Babaei, Stephen D. Wong

Electric vehicle (EV) adoption is a growing challenge for disaster planning, requiring resilient grids and strategies. With minimal research on EV user behaviour in an evacuation context, this study addresses this gap by developing a series of discrete choice models to understand the factors that impact EV charging behaviour in a hypothetical wildfire evacuation. Through a non-probability panel from the Canadian provinces of Alberta and British Columbia of people living in high/medium fire risk, we collected survey data (n = 1371) on intended actions, assuming a 400 km range EV. Results indicate diverse EV charging patterns, and no single charging location type nor one form of charging behaviour dominated across scenarios throughout the evacuation time period. Across all models, we found that EV ownership, a preference to reduce risk to property and family, intended evacuation choices, and past hazard experience influenced charging behaviour. Targeted grid improvements and strategic placement of both fixed and mobile charging stations would likely be sufficient to meet electricity demand from EVs in evacuations.

电动汽车（EV）的采用对灾难规划来说是一个越来越大的挑战，需要有弹性的电网和战略。本研究对疏散背景下的电动汽车用户行为进行了很少的研究，通过开发一系列离散选择模型来理解在假设的野火疏散中影响电动汽车充电行为的因素，从而解决了这一空白。通过来自加拿大阿尔伯塔省和不列颠哥伦比亚省生活在高/中等火灾风险中的人们的非概率小组，我们收集了关于预期行动的调查数据（n = 1371），假设电动汽车续航里程为400公里。结果表明，在疏散时间段内，电动汽车的充电模式多种多样，没有一种充电地点类型或一种充电行为占主导地位。在所有车型中，我们发现电动汽车拥有量、降低财产和家庭风险的偏好、有意疏散的选择以及过去的危险经历都会影响充电行为。有针对性的电网改进和固定和移动充电站的战略布局可能足以满足疏散期间电动汽车的电力需求。

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引用次数: 0

Quantifying the nonlinear causal impact of commute time on U.S. remote work 量化通勤时间对美国远程工作的非线性因果影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-12 DOI: 10.1016/j.trd.2025.105153

Donghang Li , Yunhan Zheng , Shenhao Wang , Xiaotong Guo , Jinhua Zhao

Urban commuting is a significant contributor to environmental pollution and emissions, while remote work offers a sustainable alternative. This study investigates the nonlinear causal impact of commute time on remote work decisions using U.S. monthly survey data from May 2020 to March 2025. To address residential self-selection bias, we apply propensity score matching (PSM) and find that commutes exceeding 30 mins increase the odds of higher-category remote work preferences and frequency by 31.1 % and 20.8 %, respectively. We then apply the generalized propensity score (GPS) method and uncover a nonlinear causal effect of commute time on remote work preferences and frequency: the marginal effect is negative within the first 15 mins, turns positive afterward, and plateaus after 50 mins. Heterogeneity analysis reveals the strongest effects among onsite workers, with weaker effects on hybrid and remote workers. These findings offer behavioral insights for remote work policies and sustainable transportation planning.

城市通勤是造成环境污染和排放的一个重要因素，而远程工作提供了一个可持续的选择。本研究利用美国2020年5月至2025年3月的月度调查数据，调查了通勤时间对远程工作决策的非线性因果影响。为了解决居住自我选择偏差，我们应用倾向得分匹配（PSM），发现通勤时间超过30分钟会使高类别远程工作偏好和频率的几率分别增加31.1%和20.8%。然后，我们应用广义倾向评分（GPS）方法，揭示了通勤时间对远程工作偏好和频率的非线性因果效应：边际效应在前15分钟为负，之后变为正，50分钟后趋于平稳。异质性分析显示，对现场工作者的影响最大，对混合型和远程工作者的影响较弱。这些发现为远程工作政策和可持续交通规划提供了行为学见解。

引用次数: 0

Potential ecological risk assessment of proposed transportation infrastructure on the Qinghai-Tibet Plateau

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.trd.2025.105164

Yaohang Sun , Yongbin Wang , Kangde Liao , Gang Jin , Dongxia Yue , Jianjun Guo

Rapid expansion of transportation infrastructure threatens ecosystems, making forward-looking ecological risk assessment essential for sustainable development. However, quantitative methods tailored to proposed transportation infrastructure (PTI), particularly those that capture indirect and cumulative effects, remain underdeveloped. Accordingly, based on the IPCC risk definition and principles of sustainable transportation, we develop a spatially explicit ecological risk assessment framework for PTI that integrates a nested multi-model coupling approach. We apply it to Shigatse on the Qinghai-Tibet Plateau to evaluate potential ecological risks of PTI under alternative 2035 development scenarios. The results indicate that higher risks are concentrated around the Shigatse urban periphery and in the middle reaches of the Yarlung Tsangpo River. By 2035, ecological risk increases by 1.95%, 2.16%, and 2.29% under the railway-only, highway-only, and combined scenarios, respectively. Risk zones expand outward along planned transport corridors and major urban nodes, and they attenuate rapidly with increasing distance from the infrastructure.

交通基础设施的快速扩张威胁着生态系统，因此前瞻性生态风险评估对于可持续发展至关重要。然而，针对拟议的交通基础设施（PTI）量身定制的定量方法，特别是那些捕捉间接和累积效应的方法，仍然不发达。因此，基于IPCC风险定义和可持续交通原则，我们开发了一个空间显式的PTI生态风险评估框架，该框架集成了嵌套的多模型耦合方法。结果表明：日喀则城市外围和雅鲁藏布江中游地区的风险较高；到2035年，纯铁路、纯公路和复合情景下的生态风险分别增加1.95%、2.16%和2.29%。风险区沿着规划的交通走廊和主要城市节点向外扩展，并随着与基础设施距离的增加而迅速减弱。

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引用次数: 0

Urban road network resilience under emergencies: a microscopic simulation framework 突发事件下城市路网弹性：微观模拟框架

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-10 DOI: 10.1016/j.trd.2025.105158

Weiping Wang , Yingying Wan , Qian Liu , Hao Liu , Chunhong Li , Saini Yang , Xinjun Lai , Yimeng Liu , Qin Yue

Urban transportation systems face growing risks from climate-induced disasters and infrastructure disruptions. This study presents a resilience-oriented evaluation framework integrating microscopic traffic simulation via SUMO to examine both structural and functional performance of urban road networks facing four distinct emergency scenarios. Utilized in the context of China’s Greater Bay Area, the framework quantifies system responses in terms of travel delays, congestion propagation, and network connectivity. Results indicate that (i) peak-hour delays are nearly six times higher than off-peak under severe disturbances; (ii) flood events lead to the highest departure delays despite limited changes in travel distance; and (iii) failure of coastal bridges triggers significant structural fragmentation. These findings highlight spatial temporal vulnerabilities in urban transport systems and provide actionable insights for emergency traffic management, climate adaptation planning, and resilient infrastructure design in rapidly urbanizing regions.

城市交通系统面临着气候引发的灾害和基础设施中断带来的越来越大的风险。本研究提出了一个以弹性为导向的评估框架，结合微观交通模拟，通过SUMO来研究面对四种不同紧急情况的城市道路网络的结构和功能性能。在中国大湾区的背景下，该框架量化了交通延迟、拥堵传播和网络连接方面的系统响应。结果表明：(1)在严重干扰下，高峰时段的延误时间比非高峰时段高出近6倍；（ii）尽管旅行距离变化有限，但洪水事件导致的出发延误却是最高的；(3)沿海桥梁的破坏引发了显著的结构破碎。这些发现突出了城市交通系统的时空脆弱性，并为快速城市化地区的应急交通管理、气候适应规划和弹性基础设施设计提供了可操作的见解。

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引用次数: 0

Transportation-induced gentrification: new perspectives and evidence 交通诱导的中产阶级化：新的视角和证据

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-11-03 DOI: 10.1016/j.trd.2025.105085

Jen-Jia Lin, Karen Chapple, Sylvia Y. He, Tim Schwanen

引用次数: 0

Identifying high-emitting Euro 7 vehicles with the NOx-to-fuel mass ratio 识别具有nox与燃油质量比的高排放欧7车辆

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-05 DOI: 10.1016/j.trd.2025.105121

Alvin Barbier , José Miguel Salavert , Stefan Hausberger , Carlos E. Palau , Carlos Guardiola

This paper examines the introduction of the NO_x-to-fuel mass ratio in the Euro 7 regulation, a parameter designed to evaluate the effectiveness of the vehicle emission control by assessing the mass of NO_x emitted relative to fuel consumption. This approach has been selected for its potential to identify high-emitting vehicles, which may result from malfunctioning or manipulated emission control systems. This study reviews in detail the methodology proposed by the European Commission for this parameter utilizing data from an on-road Euro 6d-Temp diesel vehicle, anticipating its outcomes within the Euro 7 framework and highlighting some potential limitations.

本文考察了在欧7法规中引入的NOx与燃料质量比，该参数旨在通过评估NOx排放相对于燃料消耗的质量来评估车辆排放控制的有效性。选择这种方法是因为它具有识别高排放车辆的潜力，这些车辆可能是由故障或操纵的排放控制系统造成的。本研究利用一辆欧6d-Temp柴油车的道路数据，详细回顾了欧盟委员会为该参数提出的方法，预测了其在欧7框架内的结果，并强调了一些潜在的局限性。

引用次数: 0

Exploring preference heterogeneity of electric ride-hailing drivers’ charging decisions under time uncertainty 时间不确定性下电动网约车司机充电决策的偏好异质性研究

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-15 DOI: 10.1016/j.trd.2025.105166

Mengru SHAO , Chao CHEN , Tao FENG

The rapid electrification of ride-hailing fleets intensifies demands on public charging infrastructure, making drivers’ charging behavior pivotal for effective system planning. Unlike studies focusing on private electric vehicle (EV) users or taxi drivers, this study examines electric ride-hailing drivers’ charging preferences under waiting time uncertainty using a conjoint stated choice experiment. A latent class mixed logit model is employed to capture behavioral heterogeneity, identifying two driver classes: flexible and proactive drivers and time- and price-constrained drivers. Results show that while both classes value shorter waits and lower prices, the time- and price-constrained drivers are considerably more sensitive to uncertainty and costs, diverging from patterns observed among private EV users. Preferences for ancillary facilities also differ across classes. These findings extend existing knowledge by providing new behavioral evidence on how electric ride-hailing drivers manage trade-offs under operational uncertainty and offering actionable implications for differentiated infrastructure and policy design.

网约车的快速电气化加剧了对公共充电基础设施的需求，使得司机的充电行为对有效的系统规划至关重要。与关注私人电动汽车（EV）用户或出租车司机的研究不同，本研究使用联合陈述选择实验考察了等待时间不确定性下电动网约车司机的充电偏好。使用潜在类别混合logit模型来捕捉行为异质性，确定了两种驱动类别：灵活和主动的驱动类别以及时间和价格受限的驱动类别。结果表明，尽管这两类人都重视更短的等待时间和更低的价格，但受时间和价格限制的司机对不确定性和成本更为敏感，这与私人电动汽车用户的模式不同。对辅助设施的偏好也因班级而异。这些发现扩展了现有的知识，提供了关于电动叫车司机如何在运营不确定性下管理权衡的新行为证据，并为差异化的基础设施和政策设计提供了可行的启示。

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