Transportation Research Part D-transport and Environment最新文献

英文中文

Beyond adoption: Adaptation and usage patterns among electric vehicle drivers 超越采用：电动汽车驾驶员的适应和使用模式

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-03-01 Epub Date: 2025-12-22 DOI: 10.1016/j.trd.2025.105175

Anne Voigt , Christina Kurpiers , Stefan Brandenburg

Battery electric vehicle (BEV) technology continues to advance, offering longer driving ranges. As the market shifts from early adopters to mainstream consumers, who differ in their characteristics, understanding their adaptation process becomes crucial. With advanced BEVs and more diverse users, questions arise about how current BEV drivers use their vehicles, adapt to them, and whether past issues like range anxiety remain significant. To explore these questions, we conducted qualitative interviews with N = 24 BEV owners. Findings reveal diverse usage patterns, from multi-car households using BEVs for short commutes to single-car households relying on them for long trips. Despite improved technical capabilities, concerns about range and charging persist, even as actual range meets daily needs for most drivers. The adaptation process of the drivers involves developing new habits and behaviours, with gained experience reducing initial concerns. Understanding these individual adaptation processes becomes increasingly important to facilitate widespread BEV adoption.

纯电动汽车（BEV）技术不断进步，提供了更长的行驶里程。随着市场从早期采用者转变为特征不同的主流消费者，了解他们的适应过程变得至关重要。随着先进的纯电动汽车和更多样化的用户，关于当前纯电动汽车司机如何使用他们的车辆，适应它们，以及过去的问题（如里程焦虑）是否仍然严重的问题出现了。为了探讨这些问题，我们对N = 24名纯电动汽车车主进行了定性访谈。调查结果揭示了不同的使用模式，从多辆车的家庭使用纯电动汽车进行短途通勤，到单辆车的家庭依靠纯电动汽车进行长途旅行。尽管技术能力有所提高，但对续航里程和充电的担忧仍然存在，即使实际续航里程满足了大多数司机的日常需求。驾驶员的适应过程包括发展新的习惯和行为，获得的经验减少了最初的担忧。了解这些个体适应过程对于促进纯电动汽车的广泛采用变得越来越重要。

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引用次数: 0

Collaborative prediction of bike-sharing demand around metro stations using spatiotemporal neural network 基于时空神经网络的地铁车站共享单车需求协同预测

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-03-01 Epub Date: 2025-12-31 DOI: 10.1016/j.trd.2025.105188

Wenxiang Li , Xingguang Zhang , Guojian Zou , Weiwei Liu

Accurate prediction of bike-sharing demand around metro stations is essential for enhancing multimodal integration. However, existing approaches often model bike-sharing demand in isolation, neglecting its strong spatiotemporal interdependence with metro ridership. To address this gap, this study proposes a spatiotemporal neural network that fuses multi-source data of bike-sharing trips, metro ridership, built environment characteristics, and weather conditions. The model combines graph convolutional networks to capture station-level spatial correlations with long term memory networks to learn temporal dynamics, while explicitly incorporating metro entry and exit flows to represent cross-modal dependencies. Using large-scale datasets from bike-sharing and metro systems in Shanghai, empirical analyses show that the proposed model substantially outperforms seven baseline models across multiple temporal granularities. Moreover, the model effectively captures peak-period demand surges, spatial clustering patterns, and imbalances between unlock and lock activities of bike-sharing. These findings provide practical insights for optimizing bike-sharing redistribution and enhancing metro–bike integration in urban environments.

准确预测地铁站周围的共享单车需求对于加强多模式融合至关重要。然而，现有的方法往往孤立地模拟共享单车需求，忽视了它与地铁客流量之间强烈的时空依赖关系。为了解决这一差距，本研究提出了一个时空神经网络，该网络融合了共享单车出行、地铁乘客、建筑环境特征和天气条件的多源数据。该模型将图形卷积网络与长期记忆网络相结合，以捕获站级空间相关性，以学习时间动态，同时明确地结合地铁入口和出口流量来表示跨模式依赖关系。利用上海共享单车和地铁系统的大规模数据集，实证分析表明，该模型在多个时间粒度上显著优于七个基线模型。此外，该模型还能有效地捕捉共享单车的高峰时段需求激增、空间聚类模式以及开锁活动之间的不平衡。这些发现为优化共享单车再分配和加强城市环境中的地铁自行车整合提供了实践见解。

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引用次数: 0

A three-stage evaluation of airline low-carbon competitiveness 航空公司低碳竞争力的三阶段评价

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-03-01 Epub Date: 2026-01-02 DOI: 10.1016/j.trd.2025.105173

Mengyuan Lu , Jinglei Yu , Fei Li , Yue Zhang , Quanxing Jia

Achieving deep decarbonisation in aviation requires a systematic understanding of how airlines differ in their carbon efficiency and what operational or technological factors drive these differences. This study proposes an integrated three-stage analytical framework that combines a non-oriented SBM-DDF model, the Global Malmquist–Luenberger (GML) productivity index, Random Forest regression and a cloud-model heterogeneity assessment to evaluate the low-carbon competitiveness of 20 major global airlines from 2018 to 2022. The SBM-DDF model benchmarks multi-input–multi-output environmental efficiency, while the GML index captures dynamic productivity changes and decomposes them into efficiency change and technical change. Random Forest analysis identifies the key operational determinants of carbon efficiency, and the cloud model characterises heterogeneity in performance level, volatility and uncertainty.

Results reveal pronounced cross-airline and intertemporal heterogeneity. Mean efficiency declined markedly during 2020–2021 and rebounded in 2021–2022, although absolute CO₂-slack reductions lagged behind relative technical efficiency improvements. GML analysis shows that productivity changes were modest and mainly driven by managerial and operational efficiency rather than technological progress, indicating the limited short-run impact of fleet renewal on low-carbon competitiveness. Airline-level patterns demonstrate consistently strong and stable performance among Singapore Airlines, EasyJet and Cathay Pacific. Random Forest results identify revenue tonne-kilometres (RTK), employment scale and fleet size as dominant drivers of emission efficiency, while the cloud-model heterogeneity typology reveals four distinct groups ranging from efficient-stable to inefficient-volatile. Policy implications emphasise the need for performance-sensitive benchmarks in ETS and SAF-crediting schemes, and for managerial efficiency improvements to complement long-run technological transitions.

在航空业实现深度脱碳需要系统地了解航空公司在碳效率方面的差异，以及驱动这些差异的运营或技术因素。本研究提出了一个综合的三阶段分析框架，结合非导向SBM-DDF模型、全球Malmquist-Luenberger （GML）生产力指数、随机森林回归和云模式异质性评估，对2018 - 2022年全球20家主要航空公司的低碳竞争力进行了评估。SBM-DDF模型以多投入多产出的环境效率为基准，而GML指数捕捉生产率的动态变化，并将其分解为效率变化和技术变化。随机森林分析确定了碳效率的关键操作决定因素，云模型表征了绩效水平、波动性和不确定性的异质性。结果显示明显的跨航空公司和跨时间异质性。平均效率在2020-2021年期间显著下降，并在2021-2022年反弹，尽管绝对的二氧化碳排放减少落后于相对技术效率的提高。GML分析显示，生产率变化不大，主要由管理和运营效率驱动，而非技术进步，这表明车队更新对低碳竞争力的短期影响有限。在航空公司层面，新航、易捷航空和国泰航空表现出一贯强劲和稳定的业绩。随机森林的结果确定了收入吨公里（RTK）、就业规模和车队规模是排放效率的主要驱动因素，而云模式异质性类型揭示了从高效-稳定到低效-不稳定的四种不同类型。政策影响强调需要在碳排放交易体系和saf信贷计划中建立对绩效敏感的基准，以及需要提高管理效率以补充长期的技术转型。

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引用次数: 0

Shifting gears? The CO2-emission impact of Austria’s car purchase and use policies 将齿轮吗?奥地利汽车购买和使用政策对二氧化碳排放的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-03-01 Epub Date: 2025-12-21 DOI: 10.1016/j.trd.2025.105160

Tobias Eibinger , Hans Manner , Karl W. Steininger

Policy makers likely have to resort to a mix of complementary policies to achieve global carbon-neutrality targets. To support effective policy design, we analyse the effect of environmental policies targeting vehicle use and purchase decisions on CO₂ emissions from passenger cars in Austria from 1965 to 2019. First, we propose a novel environmental policy stringency index tailored to the Austrian transport sector. Second, we analyse the effect of policies on transport-related CO₂ emissions using a structural vector autoregressive model to account for interdependencies between variables. We find that policies targeting the investment decision to buy new cars reduce emissions in Austria in the long run, but their effect materializes with a delay. In terms of stringency levels implemented, the annual engine-related tax shows the strongest impact, while the new vehicle registration tax shows a weaker effect. In contrast, policies targeting car usage produce immediate effects that fade over time.

为了实现全球碳中和目标，政策制定者可能不得不采取多种互补政策。为了支持有效的政策设计，我们分析了1965年至2019年奥地利针对车辆使用和购买决策的环境政策对乘用车二氧化碳排放的影响。首先，我们提出了一个新的环境政策严格指数量身定制奥地利运输部门。其次，我们使用结构向量自回归模型来分析政策对交通相关二氧化碳排放的影响，以解释变量之间的相互依赖性。我们发现，从长期来看，针对购买新车的投资决策的政策减少了奥地利的排放，但其效果的实现是延迟的。就实施的严格程度而言，年度发动机相关税的影响最大，而新车辆登记税的影响较弱。相比之下，针对汽车使用的政策会产生立竿见影的效果，但随着时间的推移会逐渐消退。

引用次数: 0

Technical performance evolution of BEVs: range, consumption and weight projections to 2050 纯电动汽车的技术性能演变：到2050年的范围、消耗和重量预测

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-03-01 Epub Date: 2025-12-18 DOI: 10.1016/j.trd.2025.105172

Abdullah Isilti, James E. Tate

Battery Electric Vehicles (BEVs) are assuming a pivotal role in the road electrification, with continuous advancements in technology. This UK-focused study analyses the evolution of the technical parameters of BEVs between 2011 and 2024 and forecasts their development to 2050 for a range of scenarios (pessimistic, realistic and optimistic) focusing on range, energy consumption and vehicle weight. The research is underpinned by a data set of the technical specifications of 575 BEV models. The relationships between the parameters were revealed by machine learning (Random Forest and SHAP), with the forecast performed using the Prophet. The driving range of a typical C segment Sports Utility Vehicle (SUV) is forecast to increase by between 60 % and 180 %, vehicle weight and energy consumption varied between 1051–2000 kg and 267–286 Wh/mile, respectively, depending on the scenarios and underlying assumptions. The findings provide evidence-based insights for automotive technology planning and weight-based fiscal policy responses.

随着技术的不断进步，纯电动汽车（BEVs）在道路电气化中扮演着举足轻重的角色。这项以英国为重点的研究分析了2011年至2024年间纯电动汽车技术参数的演变，并对其到2050年的发展进行了一系列情景（悲观、现实和乐观）的预测，重点是续航里程、能耗和车辆重量。这项研究以575款纯电动汽车的技术规格数据集为基础。通过机器学习（随机森林和SHAP）揭示参数之间的关系，并使用Prophet进行预测。典型的C级运动型多功能车（SUV）的行驶里程预计将增加60%至180%，车辆重量和能耗分别在1051-2000公斤和267-286 Wh/mile之间变化，具体取决于不同的场景和潜在的假设。研究结果为汽车技术规划和基于权重的财政政策响应提供了基于证据的见解。

引用次数: 0

Economic and environmental analysis for electric bus system with dynamic wireless charging 电动客车动态无线充电系统的经济与环境分析

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: 2025-12-13 DOI: 10.1016/j.trd.2025.105159

Jinhua Ji , Linhong Wang , Yiming Bie , Shiwu Li

Dynamic wireless charging (DWC) enables real-time energy replenishment for electric buses (EBs) while in motion, substantially reducing onboard battery capacity requirements, vehicle curb mass, and associated procurement and electricity expenditures. However, charging infrastructure entails significant upfront capital investment, and economic viability and decarbonization potential remain insufficiently quantified, which hinders its widespread adoption. To analyze the advantages and challenges of DWC in EB systems, this paper constructs a life cycle assessment framework. First, the system boundary is defined, and the life cycle duration is determined. Then, the operating costs and greenhouse gas emissions are calculated to analyze the economic and environmental impacts of the system. A case study is carried out on an actual route, and results show that DWC reduces emissions compared with plug-in charging. Economically, DWC lowers operating costs under the flat-rate tariff policy, but increases them under the time-of-use pricing policy.

动态无线充电技术（DWC）能够为行驶中的电动公交车（EBs）提供实时能量补充，大大降低了车载电池容量要求、车辆控制质量以及相关的采购和电力支出。然而，充电基础设施需要大量的前期资本投资，经济可行性和脱碳潜力仍然没有充分量化，这阻碍了其广泛采用。为了分析DWC在电子商务系统中的优势和挑战，本文构建了一个生命周期评估框架。首先，定义了系统边界，确定了系统的生命周期。然后，计算运行成本和温室气体排放量，分析系统的经济和环境影响。在实际路线上进行了案例研究，结果表明，与插电式充电相比，DWC可以减少排放。从经济上讲，DWC在统一费率政策下降低了运营成本，但在分时定价政策下却增加了运营成本。

引用次数: 0

Explicit consideration of human exposure to minimize freight routing impacts 明确考虑人类暴露，以尽量减少货运路线的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-12-03 DOI: 10.1016/j.trd.2025.105133

Sarah Dennis-Bauer , Anmol Pahwa , Miguel Jaller

As freight demand grows, so do its negative externalities, such as health and environmental impacts. This study integrates a reduced-complexity air quality model (RCM) with a multimodal traffic assignment model to analyze the scenario in which trucks minimize their public health costs. The study compares the least health-cost path (LHCP) with the shortest, fastest, and least-emissions paths. Two LHCP scenarios with geofences around sensitive populations differed in travel time (TT), health costs, and community impacts. LHCP had 10.9% higher TT and 29% lower costs than the next lowest scenarios. Under the LHCP, within-scenario burdens increased for some communities (e.g., PM_2.5 burden) but decreased for others (e.g., ozone burden). The other routing scenarios similarly produced differential effects across communities, highlighting tradeoffs. Geofences increased TT and health costs relative to the LHCP and produced different community impacts. This study provides new, actionable insights into methods to mitigate transportation externalities, particularly in communities.

随着货运需求的增长，其负面外部性（如健康和环境影响）也在增长。本研究将降低复杂性的空气质量模型（RCM）与多式联运交通分配模型相结合，以分析卡车将其公共卫生成本最小化的情景。该研究将最低健康成本路径（LHCP）与最短、最快和最少排放的路径进行了比较。在敏感人群周围设置地理围栏的两种LHCP情景在旅行时间（TT）、卫生成本和社区影响方面存在差异。LHCP比次低方案的TT高10.9%，成本低29%。在LHCP下，一些社区的情景内负担增加（如PM2.5负担），但其他社区的负担减少（如臭氧负担）。其他路由场景同样在社区之间产生了不同的影响，突出了权衡。相对于LHCP，地理犯罪增加了TT和保健费用，并产生了不同的社区影响。这项研究为减轻交通外部性的方法提供了新的、可操作的见解，特别是在社区。

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引用次数: 0

Strategies, opportunities, and challenges of integrating shared micromobility with public transport 共享微交通与公共交通整合的策略、机遇和挑战

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: 2025-12-09 DOI: 10.1016/j.trd.2025.105165

Anne Brown , Niels van Oort

Shared micromobility may enhance accessibility as part of a comprehensive public transport network. A qualitative stakeholder perspective is needed to reflect the practical opportunities and challenges for integrating shared micromobility and public transport. This research synthesizes literature alongside 25 interviews with professionals across North America and Europe to answer: 1) what challenges and opportunities do different integration approaches offer? And 2) what should be prioritized when integrating shared micromobility and public transport? We frame integration efforts in three pillars: 1) institutional, 2) physical, and 3) digital integration. Findings show that integration efforts are effective only when foundational preconditions are met including high-quality public transport, dedicated micromobility infrastructure, supportive land uses, and issue framing. Institutional and physical integration are both necessary to facilitate multimodal travel and create cohesive regional travel networks. Digital tools can support integration but often requires substantial resources, and faces data sharing and privacy, feasibility, and scaling challenges.

作为综合公共交通网络的一部分，共享微型交通工具可以提高可达性。需要一个定性的利益相关者视角来反映整合共享微型交通和公共交通的实际机遇和挑战。本研究综合了文献以及对北美和欧洲的25位专业人士的采访，以回答：1)不同的整合方法提供了哪些挑战和机遇？2)在整合共享微出行和公共交通时，应该优先考虑什么？我们将整合工作分为三个支柱：1)制度整合，2)实体整合，3)数字整合。研究结果表明，只有满足基本前提条件，包括高质量的公共交通、专用的微交通基础设施、支持性土地利用和问题框架，整合工作才会有效。为了促进多式联运和创建有凝聚力的区域旅游网络，制度和物质一体化都是必要的。数字工具可以支持集成，但通常需要大量资源，并面临数据共享和隐私、可行性和可扩展性方面的挑战。

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引用次数: 0

Charging forward or falling behind? Effects of electric vehicle subsidy removal 前进还是落后？取消电动汽车补贴的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-02-01 Epub Date: 2025-11-27 DOI: 10.1016/j.trd.2025.105126

Liv Lundberg , Gustaf Bengtsson , Frances Sprei , Niklas Fernqvist , Jonas Zetterholm

To reach climate goals in the transport sector the pace of electrification needs to speed up. Sweden has one of the highest shares of electric vehicles (EV) in the world, and 45% of the EV fleet operates under leasing agreements. In 2018, the Swedish government introduced a bonus for low emission cars and a taxation on fossil-fuelled vehicles. The bonus was however eliminated in November 2022, effective immediately. We show that this led to a significant decline in private leasing of EVs while other market segments remained stable. Private leasing played a key role in expanding the stock of lightweight EVs and dominated new EV registrations among low-income households, which declined following the bonus withdrawal. We also show that the subsidy removal led to a significant increase in EV-leasing prices, making EVs the most expensive option across price segments.

为了实现交通部门的气候目标，电气化的步伐需要加快。瑞典是世界上电动汽车（EV）份额最高的国家之一，45%的电动汽车是通过租赁协议运营的。2018年，瑞典政府推出了对低排放汽车的奖励和对化石燃料汽车的征税。然而，该奖金于2022年11月取消，立即生效。我们发现，这导致私人电动汽车租赁大幅下降，而其他细分市场保持稳定。私人租赁在扩大轻型电动汽车库存方面发挥了关键作用，并主导了低收入家庭的新电动汽车注册量，但在奖金取消后，这一数字有所下降。我们还发现，补贴取消导致电动汽车租赁价格大幅上涨，使电动汽车成为各个价格区间中最昂贵的选择。

引用次数: 0

Resilience assessment of interdependent transit networks: an indifference perception threshold-based approach 相互依赖的交通网络弹性评估：基于冷漠感知阈值的方法

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.2025.105128

Yichen Liang , Yajuan Deng , Chen Zhang , Ketong Hao , Yujie Guo , Yu Li , Liangbin Cui

Enhancing the resilience of interdependent metro-bus networks has become a critical issue with the continuous development of urban public transportation and the growing travel demands. Unfortunately, existing studies predominantly focus on single transportation modes, neglecting the interdependencies among multimodal systems. Alternatively, while some studies investigate topological changes after disruptions, they fail to account for travelers’ choice behaviors under perception threshold constraints. This study proposes a resilience analysis framework incorporating two disruption scenarios and travelers’ perception thresholds for path selection. The proposed framework accurately evaluates metro-bus network resilience from both topological and functional perspectives, while authentically replicating travelers’ route choice behavior. The case study conducted in Xi’an reveals scale-free characteristics in metro-bus network resilience, where a limited number of critical nodes significantly influence the metro-bus network’s resilience. Traveler types also show divergent disruption responses, yielding varying resilience across groups. These insights aid risk management and multimodal transportation coordination.

随着城市公共交通的不断发展和出行需求的不断增长，增强相互依存的地铁公交网络的弹性已成为一个关键问题。遗憾的是，现有的研究主要集中在单一的运输方式上，而忽视了多式联运系统之间的相互依赖性。另外，尽管一些研究调查了交通中断后的拓扑变化，但它们未能解释感知阈值约束下旅行者的选择行为。本研究提出了一个包含两种中断情景和旅行者感知阈值的路径选择弹性分析框架。该框架从拓扑和功能两个角度准确地评估了地铁公交网络的弹性，同时真实地复制了乘客的路线选择行为。以西安为例，揭示了地铁公交网络弹性的无标度特征，其中有限数量的关键节点显著影响地铁公交网络的弹性。旅行者类型也表现出不同的中断反应，产生不同群体的弹性。这些见解有助于风险管理和多式联运协调。

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