Transportation Research Part D-transport and Environment最新文献

英文中文

Corrigendum to “How will arctic shipping emissions evolve? A spatiotemporal topology-aware transformer approach”. [Transp. Res. Part D Transp. Environ. 151 (2025) 105134] “北极航运排放将如何演变？”一种时空拓扑感知转换器方法”。(透明。Res. D部分运输环境。151 (2025)105134]

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: 2025-12-30 DOI: 10.1016/j.trd.2025.105179

Younghwi Kim , Jaehoon Lee , Hyerim Bae , Sunghyun Sim

引用次数: 0

Prioritizing light-vehicle electrification cities through real-world pollution-based GIS assessment 通过基于现实世界污染的GIS评估优先考虑轻型汽车电气化城市

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: 2026-01-28 DOI: 10.1016/j.trd.2026.105242

Corrado Maria Caminiti , Davide Fratelli , Aleksandar Dimovski , Antonio Piersanti , Mattia Ricci , Biagio Di Pietra , Marco Merlo

Achieving decarbonization targets requires major reductions in fossil-fuel use. Electrifying light-duty vehicles offers substantial environmental benefits, yet quantifying these gains is challenging due to heterogeneous traffic patterns and pollution levels. This study introduces a GIS-based method that maps pollutant emissions and traffic volumes onto the road network to produce municipal-level mobility-impact indexes. Daily travel routines derived from mobility surveys are combined with real pollution maps to compute segment-level emissions, which are then aggregated for spatial comparison and policy prioritisation. Applied to Lombardy, Italy, the method shows that although Milan and other dense cities benefit markedly, numerous peri-urban and semi-rural municipalities also show high potential due to large intermunicipal commuting flows. Overall, 13% of municipalities are classified as highest-priority areas, accounting for nearly a quarter of regional traffic-related emissions. The results reveal non-linear urbanisation-benefit relationships and underscore the need to include less-urbanised territories in equitable and effective electrification strategies.

实现脱碳目标需要大量减少化石燃料的使用。轻型车的电气化带来了巨大的环境效益，但由于交通模式和污染水平的不同，量化这些收益是具有挑战性的。本研究引入了一种基于gis的方法，将污染物排放量和交通量映射到道路网络中，从而产生市级的交通影响指数。从流动性调查中得出的日常出行规律与真实的污染地图相结合，以计算路段水平的排放量，然后将其汇总用于空间比较和政策优先级。将该方法应用于意大利伦巴第，结果表明，尽管米兰和其他人口密集的城市受益显著，但由于大量的城际通勤流量，许多城郊和半农村城市也显示出很高的潜力。总体而言，13%的城市被列为最优先区域，占该地区交通相关排放的近四分之一。研究结果揭示了城市化与效益之间的非线性关系，并强调了将城市化程度较低的地区纳入公平有效的电气化战略的必要性。

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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 : 2026-04-01 Epub 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。

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引用次数: 0

Electric vehicle manufacturers’ operation of charging stations: Higher range, greater benefits 电动汽车厂商运营充电站：里程越长，效益越大

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: 2026-01-24 DOI: 10.1016/j.trd.2026.105232

Ruolin Yao , Shuai Ling , Qing Wang , Shiquan Zhong

To alleviate range anxiety among electric vehicle (EV) users, some EV manufacturers have begun operating charging stations in public areas, offering charging services to vehicle owners. Based on data from the Chinese EV market, we investigate how the strategy of operating charging stations influences demand for manufacturers’ own-brand EVs and examine its interaction with EV range, as well as the moderating effect of public charging infrastructure. Specifically, we integrate the strategy of operating charging stations as a model-specific charging service attribute, measure it using the scale of the charging stations, and incorporate it into a structural model. Our results indicate that this strategy enhances consumers’ willingness to purchase, although it increases their price sensitivity. Moreover, this willingness to purchase increases with EV range but decreases as public charging infrastructure improves. These findings offer valuable insights for the collaborative development of the EV and charging station industries.

为了缓解电动汽车用户的里程焦虑，一些电动汽车制造商开始在公共场所开设充电站，为车主提供充电服务。基于中国电动汽车市场的数据，我们研究了充电站运营策略如何影响制造商对自有品牌电动汽车的需求，并考察了充电站运营策略与电动汽车续航里程的交互作用，以及公共充电基础设施的调节作用。具体而言，我们将充电站运营策略作为一种特定于模型的充电服务属性进行整合，利用充电站的规模对其进行度量，并将其纳入结构模型。我们的研究结果表明，这种策略增强了消费者的购买意愿，尽管它增加了他们的价格敏感性。此外，这种购买意愿随着电动汽车续航里程的增加而增加，但随着公共充电基础设施的改善而降低。这些发现为电动汽车和充电站产业的协同发展提供了有价值的见解。

引用次数: 0

Optimizing evacuation routes for human mobility during wildfires: A case study of the 2023 McDougall Creek Wildfire 野火期间优化人员疏散路线：以2023年麦克杜格尔河野火为例

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: 2026-01-14 DOI: 10.1016/j.trd.2026.105216

Bahareh Raei , Apratim Sen , Max Kinateder , Noureddine Bénichou , Xin Wang

Wildfires present significant challenges to evacuation planning due to their dynamic nature, rapid spread, and the limitations of static routing methods, which often lead to congestion and increased safety risks. This study addresses these issues by analyzing the 2023 McDougall Creek Wildfire (Kelowna, BC) using GPS data, identifying congestion bottlenecks, and developing a dynamic Dijkstra-A* algorithm with a multi-criteria cost function that integrates distance, congestion, and fire risk. Validated through SUMO simulations across two scenario groups with fire origins in the northwest and southwest, we tested four evacuation strategies: simultaneous departure, temporally staggered departure, region-based evacuation with uniform response times, and region-based evacuation with realistic response time variability. Our results demonstrate that region-based, staggered evacuations with realistic response times effectively reduce peak congestion and improve safety compared to simultaneous approaches. This research highlights the potential of GPS-informed behavior and hazard-aware routing to improve adaptive evacuation strategies for climate-driven wildfire events.

由于野火的动态性、快速蔓延和静态路径方法的局限性，往往导致拥堵和安全风险增加，给疏散规划带来了重大挑战。本研究通过使用GPS数据分析2023年McDougall Creek野火（Kelowna， BC），识别拥堵瓶颈，并开发了一种动态Dijkstra-A*算法，该算法具有集成距离、拥堵和火灾风险的多标准成本函数。通过在西北和西南两个场景组中进行SUMO模拟验证，我们测试了四种疏散策略：同时离开，暂时交错离开，统一响应时间的基于区域的疏散，以及具有现实响应时间变化的基于区域的疏散。我们的研究结果表明，与同时进行的方法相比，基于区域的、具有现实响应时间的错开疏散有效地减少了高峰拥堵，提高了安全性。这项研究强调了gps信息行为和危险意识路径在改善气候驱动的野火事件适应性疏散策略方面的潜力。

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引用次数: 0

Co-hub charging planning for electric bus and paratransit using fuzzy multi-objective optimization 基于模糊多目标优化的电动客车与辅助交通枢纽充电规划

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: 2026-01-27 DOI: 10.1016/j.trd.2026.105233

Bingkun Chen , Zhuo Chen , Xiaoyue Cathy Liu , Ran Wei , Arman Malekloo

Paratransit, a demand-responsive transit mode serving passengers with mobility challenges, is increasingly electrified to enhance urban transportation sustainability. However, high investments required for dedicated charging infrastructure and the scarcity of public charging resources remain significant hurdles to large-scale deployment. This study investigates a shared charging scheme that integrates paratransit electric vehicles (EVs) into existing electric bus (EB) charging networks. A fuzzy multi-objective optimization framework is proposed to identify optimal charging co-hub locations and EV assignments by balancing supply–demand dynamics. The framework incorporates two-step floating catchment area (2SFCA) and inverted 2SFCA (i2SFCA) methods to formulate objectives and constraints for EB and paratransit systems, respectively. Through fuzzy programming, trade-offs among supply–demand dynamics are resolved, yielding efficient shared-charging plans. The framework is validated with Utah Transit Authority data, demonstrating improved charging accessibility and operational efficiency while offering actionable insights for transit agencies in planning shared charging schemes among various public transport modes.

辅助交通（parattransit）是一种需求响应型交通模式，为出行困难的乘客提供服务，它越来越电气化，以提高城市交通的可持续性。然而，专用充电基础设施的高投资和公共充电资源的稀缺仍然是大规模部署的重大障碍。本研究探讨了一种将辅助交通电动汽车（ev）整合到现有电动巴士（EB）充电网络中的共享充电方案。提出了一种模糊多目标优化框架，通过平衡供需动态来确定最优充电中心位置和电动汽车分配。该框架采用两步浮动集水区（2SFCA）和倒2SFCA （i2SFCA）方法，分别为EB和辅助交通系统制定目标和约束。通过模糊规划，解决了供需动态之间的权衡，得到了高效的共享充电方案。该框架与犹他州交通管理局的数据进行了验证，展示了改进的收费可及性和运营效率，同时为交通机构规划各种公共交通模式之间的共享收费方案提供了可操作的见解。

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引用次数: 0

Understanding electric vehicle charging behavior: A multidisciplinary review and conceptual framework 理解电动汽车充电行为：多学科回顾和概念框架

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: 2026-01-23 DOI: 10.1016/j.trd.2026.105227

Farnoosh Roozkhosh, X. Angela Yao

EV charging behavior refers to the observable patterns and underlying decision processes through which drivers decide when, where, how often, and how much to charge, and which charging technologies to use. Despite rapid growth in empirical research, the term is operationalized inconsistently across disciplines (e.g., as load profiles, session dynamics, location choice, or socio-demographic differences), making evidence difficult to compare and limiting its transferability to infrastructure planning, grid management, and equity assessment. In this review, we synthesize the interdisciplinary literature on EV users’ charging behavior and propose a unified, behavior-centered framework that organizes studies into four complementary lenses with explicit units of analysis and boundaries: (1) spatiotemporal-based (when and where charging occurs), (2) EV-based (vehicle state and technical constraints), (3) user-based (heterogeneity in users and charging access), and (4) session-based (within-event dynamics). For each lens, we summarize common data types, methods, and application domains, highlight overlaps, and identify opportunities for integration across datasets and modeling traditions.

电动汽车充电行为是指可观察到的模式和潜在的决策过程，驾驶员通过这些决策过程决定何时、何地、多久、充电多少，以及使用哪种充电技术。尽管实证研究快速增长，但该术语在不同学科（例如，负载概况，会话动态，位置选择或社会人口差异）中的操作不一致，使得证据难以比较，并限制了其在基础设施规划，电网管理和公平评估中的可转移性。在这篇综述中，我们综合了关于电动汽车用户充电行为的跨学科文献，提出了一个统一的、以行为为中心的框架，将研究分为四个互补的视角，具有明确的分析单元和边界：(1)基于时空的（充电发生的时间和地点），(2)基于电动汽车的（车辆状态和技术约束），(3)基于用户的（用户和充电接入的异质性），以及(4)基于会话的（事件内动力学）。对于每个镜头，我们总结了常见的数据类型、方法和应用领域，突出了重叠部分，并确定了跨数据集和建模传统集成的机会。

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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 : 2026-04-01 Epub 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。

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引用次数: 0

Multi-scenario simulation of emission reduction and subsidy scheme for dangerous goods vehicles 危险品车辆减排及补贴计划的多情景模拟

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: 2026-01-14 DOI: 10.1016/j.trd.2026.105220

Jiansong Li , Guoqi Li , Jiahui Cao , Xiumei Lu

Using trajectory data of dangerous goods vehicles (DGVs) in Chengdu, this study develops a three-phase framework to characterize spatio-temporal patterns of pollutant emissions, evaluate emission reduction benefits, and optimize subsidy policies. Results show that DGVs’ emissions exhibit a bimodal distribution, peaking between 9:30 and 11:30. These emissions expose over 3.2 million residents to health risks, with middle-income groups being the most affected. They lead to approximately 114 premature deaths and $18.68 million in annual economic losses. A combined strategy of improving fuel quality and electrifying heavy-duty DGVs could reduce over 76% of PM_2.5 emissions annually, prevent 84–93 premature deaths, and save $13.76–15.23 million. To close the cost gap and achieve optimal emission reduction benefits, this study recommends raising the subsidy cap for heavy-duty DGVs from $13800 to at least $21100 to promote electrification of China III or lower emission standard DGVs. Concurrently, charging infrastructure deployment should be accelerated.

利用成都市危险品车辆运行轨迹数据，构建了一个三阶段框架，用于表征污染物排放时空格局、评估减排效益和优化补贴政策。结果表明：dgv排放呈双峰分布，在9:30 ~ 11:30达到峰值；这些排放使320多万居民面临健康风险，中等收入群体受影响最大。这些疾病导致大约114人过早死亡，每年造成1 868万美元的经济损失。提高燃料质量和重型dgv电气化的综合战略每年可减少76%以上的PM2.5排放量，防止84-93人过早死亡，节省1376 - 1523万美元。为了缩小成本差距并实现最佳减排效益，本研究建议将重型dgv的补贴上限从13800美元提高到至少21100美元，以促进中国III或更低排放标准dgv的电气化。同时，加快充电基础设施建设。

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引用次数: 0

Operationalizing social justice theory in transport resource allocation 社会公平理论在交通资源配置中的应用

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: 2026-01-10 DOI: 10.1016/j.trd.2026.105218

Esta Qiu , David Rey , Travis Waller

Operationalizing social justice is challenged by the absence of a universal equity definition and inherent policy trade-offs. This study bridges theoretical social justice principles with operational decision-making by integrating four commonly discussed distributive justice theories—Utilitarianism, Rawls’ Egalitarianism, Prioritarianism, and Capabilitarian Sufficiency—into a bilevel bus frequency optimization model. It introduces linearized equity-oriented formulations to reflect the distinct distributive principles of these theories and proposes justice theory-driven equity metrics to evaluate distributive impacts using different ethical criteria. Using cumulative opportunity as a unit of distribution, the proposed frameworks and metrics are applied to Canberra’s southern suburbs. The results demonstrate that the choice of justice framework is not a neutral modelling decision but a normative one, with each framework producing distinct redistributive patterns and community-level trade-offs. This highlights the importance of aligning equity frameworks with policy objectives and governance contexts, as these choices ultimately shape public perception, political feasibility, and the long-term societal goals of transport investment.

由于缺乏普遍的公平定义和内在的政策权衡，社会正义的实施受到挑战。本研究通过将四种常用的分配正义理论——功利主义、罗尔斯的平均主义、优先主义和能力充足论——整合到一个双层公交频率优化模型中，将理论社会正义原则与运营决策联系起来。它引入了线性化的公平导向公式，以反映这些理论的不同分配原则，并提出了正义理论驱动的公平指标，以评估使用不同伦理标准的分配影响。将累积机会作为分配单位，提议的框架和指标应用于堪培拉南部郊区。结果表明，司法框架的选择不是一个中立的建模决策，而是一个规范的决策，每个框架产生不同的再分配模式和社区层面的权衡。这凸显了将公平框架与政策目标和治理环境相结合的重要性，因为这些选择最终会影响公众对交通投资的看法、政治可行性和长期社会目标。

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