Transportation Letters-The International Journal of Transportation Research最新文献

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Electric vehicles in emergencies and evacuations: a review of resilience and future research directions 紧急情况和疏散中的电动汽车：弹性回顾和未来研究方向

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2415753

Mohammad Hossein Babaei , Stephen D. Wong

Disasters often require large-scale evacuations, and damage key infrastructure (e.g., power, transportation). With growing electric vehicle (EV) adoption and electrification of transportation, governments and utilities may face significant power challenges during disasters, especially during the evacuation stage. Low state-of-charge, sporadic charging infrastructure, or power outages could significantly hamper safe and effective evacuations. Yet, EVs also offer possible resilience benefits to emergency response by more easily charging electronics or sending power back to the grid through vehicle-to-grid (V2G) technology. This paper focuses on the opportunities, benefits, and drawbacks of EVs in disasters and evacuations through a systematic review of current literature, reports, and sources. Overall, this review discovered EVs show promise as modes of transportation and mobile energy supply units. However, crucial challenges such as charging infrastructure locations, upfront cost of resilience technologies, and user behavior necessitate more dedicated research to overcome shortcomings and guide more realistic implementation of benefits.

灾害通常需要大规模疏散，并破坏关键基础设施（如电力、交通）。随着电动汽车（EV）的普及和交通工具的电气化，政府和公用事业公司在灾害期间可能面临重大的电力挑战，特别是在疏散阶段。低电量状态、零星充电基础设施或停电可能严重妨碍安全有效的疏散。然而，电动汽车还可以通过更容易地为电子设备充电或通过车辆对电网（V2G）技术将电力发回电网，从而在应急响应方面提供可能的弹性优势。本文通过对当前文献、报告和来源的系统回顾，重点介绍了电动汽车在灾害和疏散中的机会、好处和缺点。总的来说，这篇综述发现电动汽车作为一种交通方式和移动能源供应单元是有希望的。然而，诸如充电基础设施位置、弹性技术的前期成本和用户行为等关键挑战需要更专门的研究来克服缺点，并指导更现实的效益实现。

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引用次数: 0

Design a robust joint service of integrating demand responsive connectors (DRC) and shared bikes 设计一个集成需求响应连接器（DRC）和共享单车的强大联合服务

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2401237

Xin Li , Hang Xu , Zhanghua Teng , Qingxin Yin , Yun Yuan

The integration of shared bikes and flexible transit services offers significant potential and benefits for urban transit systems. This paper presents a novel robust optimization framework for designing demand responsive connectors (DRC) that are fed by shared bikes. A two-stage model is formulated, with the first stage focusing on prereserved requests and the second stage addressing en-route random requests. The findings demonstrate that incorporating shared bikes can enhance the efficiency of serving en route late requests and reduce the required DRC vehicle fleet size. Additionally, it is observed that e-bikes are particularly suitable for this joint service due to their adaptability.

共享单车和灵活交通服务的整合为城市交通系统提供了巨大的潜力和效益。本文提出了一种新的鲁棒优化框架，用于设计由共享单车提供的需求响应连接器（DRC）。建立了一个两阶段模型，第一阶段关注保留请求，第二阶段处理途中随机请求。研究结果表明，加入共享单车可以提高服务途中延迟请求的效率，并减少所需的DRC车队规模。此外，据观察，电动自行车由于其适应性特别适合这种联合服务。

引用次数: 0

Comparative analysis of macroscopic traffic models for evaluating shockwaves under lane closures on an urban highway using the LWR model 用LWR模型对城市高速公路封闭车道下冲击波的宏观交通模型进行比较分析

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2404351

Mohammad Amin Yasari , Iman Aghayan , Gholam Reza Shiran , Farhad Hadadi

Lane closure due to traffic crashes is a complex phenomenon that negatively affects the operational performance of highways and leads to secondary lane closures. The present study investigates the effects of shockwaves caused by a heavy vehicle run-off-road crash on a three-lane urban highway in Isfahan, Iran. Additionally, the study simulates the effects of lane closures on shockwaves and density using the Lighthill, Whitham, and Richards (LWR) theory and macroscopic traffic flow based on field data. An analysis of traffic flow models revealed that one-lane and two-lane closures reduce maximum flow by 29% and 61%, respectively, compared to normal conditions. The results showed that the minimum relative error (RE) for lane closures is associated with shockwave models based on the Underwood speed-density model, expanded using the Taylor series. Therefore, the shockwave model based on the Underwood model with Taylor series expansion outperforms other models.

交通事故导致的车道关闭是一种复杂的现象，它会对高速公路的使用性能产生负面影响，并导致次级车道关闭。本研究调查了在伊朗伊斯法罕的一条三车道城市高速公路上发生的重型车辆越野车碰撞所引起的冲击波的影响。此外，该研究利用Lighthill， Whitham, and Richards （LWR）理论和基于现场数据的宏观交通流模拟了车道关闭对冲击波和密度的影响。一项交通流模型分析显示，与正常情况相比，单车道和双车道关闭分别减少了29%和61%的最大流量。结果表明，关闭车道的最小相对误差（RE）与基于Underwood速度-密度模型的冲击波模型有关，该模型采用Taylor级数展开。因此，基于Taylor级数展开的Underwood模型的冲击波模型优于其他模型。

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引用次数: 0

Analysis of congestion key parameters, dynamic discharge process, and capacity estimation at urban freeway bottlenecks: a case study in Beijing, China 城市高速公路瓶颈拥堵关键参数分析、动态排放过程及容量估算——以北京为例

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2404349

Yuyan (Annie) Pan , Qixiu Cheng , Anran Li , Jianbo Zhang , Jifu Guo , Yanyan Chen

Recurring bottlenecks significantly contribute to urban freeway congestion, making their analysis essential. This study examines six bottlenecks on Beijing’s Ring Road using multi-day data, identifying them via Dynamic Time Warping and Fuzzy C-Means Clustering (DTW+FCM). Key parameters—free-flow speed, critical speed, critical density, and jam density—are calibrated using fundamental diagram models. The Weibull distribution analyzes flow and speed patterns during congestion phases. The DTW+FCM method effectively identified bottlenecks and congestion levels. Severe congestion lasting over 10 hours on the West Second and Third Ring Roads averaged speeds of 15 km/h. The S3 model best fits data for the West Ring Roads, while the Van Aerde model suits the North Ring Roads. Different methods yield varying traffic capacity estimates, highlighting the need for nuanced approaches in urban expressway planning to maintain traffic quality and comfort. These findings offer valuable guidance for research and practical traffic management solutions.

反复出现的瓶颈严重加剧了城市高速公路的拥堵，因此对其进行分析至关重要。本研究使用多日数据考察了北京环路上的六个瓶颈，并通过动态时间扭曲和模糊c均值聚类（DTW+FCM）来识别它们。关键参数——自由流速、临界流速、临界密度和堵塞密度——使用基本图模型进行校准。威布尔分布分析拥塞阶段的流量和速度模式。DTW+FCM方法有效地识别瓶颈和拥塞水平。西二环和三环的严重拥堵持续了10个多小时，平均速度为15 公里/小时。S3模型最适合西环的数据，而Van Aerde模型适合北环的数据。不同的方法产生不同的交通容量估算，突出了在城市高速公路规划中需要细致入微的方法来保持交通质量和舒适度。这些发现为研究和实际的交通管理解决方案提供了有价值的指导。

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引用次数: 0

Exploring factors affecting the injury severity of highway-rail grade crossing crashes during the COVID-19 pandemic 探究 COVID-19 大流行期间影响公路铁路道口碰撞事故伤害严重程度的因素

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2392062

Qiaoqiao Ren , Min Xu

The outbreak of COVID-19 pandemic could alter the injury severity pattern of highway-rail grade crossing (HRGC) crashes. To compare factors affecting injury severities before and during the pandemic, HRGC crashes occurring between 2018 and 2021 in the United States were collected. A random parameters logit model with heterogeneity in means was developed to investigate the impact of multiple factors during the pandemic (2020-2021). Besides, a multinomial logit model was developed for the pre-pandemic (2018-2019) crashes. The present study indicates that the existence of old drivers and illuminated crossings generated random parameters with heterogeneity in means during the pandemic, which were affected by the driver in vehicle, estimated train speed, and crossing AADT indicators. As for the pre-pandemic period, no significant random parameters and unobserved heterogeneity were captured. Significant variables also differed markedly between these two periods, with no significant driver-related or vehicle-related indicators identified from 2018 to 2019.

COVID-19大流行的爆发可能会改变公路-铁路道口（HRGC）碰撞事故的伤害严重程度模式。为了比较在COVID-19疫情爆发前和爆发期间影响受伤严重程度的因素，我们采用了以下方法。

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引用次数: 0

Exploring the effect of built environment on spatiotemporal evolution of traffic congestion using a novel GTWR model: a case study of Hefei, China 利用新型 GTWR 模型探索建筑环境对交通拥堵时空演变的影响：中国合肥案例研究

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2396773

Huiwen Liu , Weihua Zhang , Shiguang Wang , Zeyang Cheng , Liyang Wei , Wenjuan Huang

Understanding the impact of the built environment on traffic congestion can provide reliable references for alleviating traffic congestion. Previous research has explored traffic congestion evolution but often overlooks two key aspects: the frequency of congestion state updates and the spatial-temporal impact of built environment features. Based on data from Hefei, China, we propose a novel geographically and temporally weighted regression (GTWR) model that integrates temporal variables and spatial grids into the traditional GWR model. The empirical results show that public facilities most significantly impact congestion during morning peak hours, scenic spots during afternoon peaks, and motorcycle services in the evening. The study also reveals the rules for the spatiotemporal impact of the built environment on traffic congestion. Finally, the comparison of models shows that the GTWR model outperforms the OLS and GWR models. The findings can guide traffic managers in creating targeted strategies to enhance transportation system efficiency.

了解建筑环境对交通拥堵的影响可以为缓解交通拥堵提供可靠的参考。以往的研究对交通拥堵的演变进行了探讨。

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引用次数: 0

Predicting and explaining parking space sharing behaviors using LightGBM and SHAP with individual heterogeneity considered 考虑个体异质性的LightGBM和SHAP车位共享行为预测与解释

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2392332

Ange Wang , Jiyao Wang , Xiao Wen , Dengbo He , Ran Tu

Shared parking plays a crucial role in alleviating parking pressure, but the heterogeneity of potential suppliers’ intentions was often ignored. This study addresses this gap by adopting an interpretable Machine Learning (ML) framework to investigate parking space sharing intentions, considering individual differences. A survey with 383 respondents from mainland China was conducted, and a Latent Class Model (LCM) identified three distinct groups of potential suppliers. The Light Gradient Boosting Machine (LightGBM), outperforming other ML models, was used to quantify factors influencing sharing behaviors. The SHapley Additive exPlanation (SHAP) approach revealed that influential factors vary across different latent classes. These findings provide insights for shared parking operators to encourage potential suppliers’ participation in shared parking.

共享停车在缓解停车压力方面发挥着至关重要的作用，但潜在供应商意愿的异质性往往被忽视。本研究通过采用可解释的机器学习（ML）框架来调查考虑个体差异的停车位共享意图，从而解决了这一差距。我们对来自中国大陆的383名受访者进行了一项调查，并通过潜在类别模型（LCM）确定了三组不同的潜在供应商。光梯度增强机（Light Gradient Boosting Machine, LightGBM）被用于量化影响共享行为的因素，优于其他ML模型。SHapley加性解释（SHAP）方法揭示了影响因素在不同潜在类别之间存在差异。这些发现为共享停车运营商提供了鼓励潜在供应商参与共享停车的见解。

引用次数: 0

Toward mainstreaming care activities in transportation: a time use and mobility segmentation approach 将护理活动纳入交通主流：时间利用和流动性细分方法

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2393536

Sebastián Henríquez , Juan Antonio Carrasco , Sebastián Astroza

This paper assesses the importance of incorporating care dimensions into activity-travel segmentation to understand daily life mobility strategies. The data came from six neighbourhoods in Concepción, Chile, and included detailed information on activity-travel time use and interaction and classification schemes to identify care purposes. The study uses self-organizing maps to build incremental behavioural segments from weekly mobility and time use variables, adding care activities to assess their role in this segmentation. The results identify groups with a higher burden on care than others, emphasizing the role of transport mode and time use patterns. The result remarks caregiving activities hidden within other categories, identifying groups of caregivers, including domestic workers and women who work and have intense accompanying activities with children. The results highlight the differences between mobility patterns between different segments to make more invisible care and other related activities disproportionately performed by groups of women.

本文评估了将护理维度纳入活动-旅行细分以了解日常生活移动策略的重要性。数据来自康塞普西的六个社区。

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引用次数: 0

Network effects from the provision of charging stations in the market diffusion of electric vehicles 在电动汽车市场普及过程中提供充电站的网络效应

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2398323

Xiaoling Liu , Xu Guo , Xiaohua Sun , Helen Song-Turner

This study investigates the long-term effects of charging station construction on electric vehicle (EV) diffusion, considering different deployment approaches and scales. Using China as a case study, we first examined the impact of network effects on consumers’ willingness to purchase EVs through discrete choice experiments. Based on the survey, an agent-based model that integrates agents and geographical context was developed to simulate EV diffusion under various charging station deployment scenarios. The main results are: (i) both direct and indirect network effects jointly influence consumer adoption of EVs (ii) a U-shaped relationship between network effects intensity and charging station scale exists, and (iii) concentrated charging station deployment accelerates EV diffusion more effectively than a systematic approach. These findings provide new evidence and policy implications for the development of the EV industry.

本研究调查了充电站建设对电动汽车（EV）推广的长期影响，并考虑了不同的部署方法和规模。以中国为例，研究了充电站建设对电动汽车（EV）推广的长期影响。

引用次数: 0

En-route recharging scheduling strategy for electric trucks serving inter-terminal container transportation 集装箱码头间运输电动卡车的途中充电调度策略

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2389609

Yuxiong Ji , Pengliang Cao , Kum Fai Yuen , Yujing Zheng , Yu Shen

Container ports are increasingly deploying electric trucks (ETs) for inter-terminal transportation (ITT). However, en-route recharging activities, which reduce ITT efficiency, are necessary for ETs because of limited battery capacity. This study proposes a real-time strategy to schedule the en-route recharging activities for ETs. The strategy dynamically monitors the ITT system, and simultaneously designates charging piles for ETs and determines their positions in the service sequences. An ET may be designated to a remote but shorter-queued pile. The total queue time of the ETs served by a designated pile can be reduced by adjusting the service sequence. The effectiveness is demonstrated in comparison with an alternative strategy in a real-world case. The results indicate that the proposed strategy effectively reduces container throughput time by 21.8% and ET energy consumption by 12.3%. Sensitivity analyses suggest that the strategy is applicable for ports with multiple charging stations and moderate ET fleet size.

集装箱港口越来越多地采用电动卡车（ET）进行码头间运输（ITT）。然而，途中充电活动会降低 ITT 的效率，是电动卡车的必要条件...

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Transportation Letters-The International Journal of Transportation Research

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