Transportmetrica A-Transport Science最新文献

Competition or cooperation? The impact of built environment on the role of ride-hailing services around subway stations 竞争还是合作？地铁车站周边建筑环境对网约车服务作用的影响

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-05-04 Epub Date: 2025-06-10 DOI: 10.1080/23249935.2025.2516062

Kuang Guo , Jinjing Yuan , Di Huang , Haixiao Pan , Yang Liu , Zhuangbin Shi

{"title":"Competition or cooperation? The impact of built environment on the role of ride-hailing services around subway stations","authors":"Kuang Guo , Jinjing Yuan , Di Huang , Haixiao Pan , Yang Liu , Zhuangbin Shi","doi":"10.1080/23249935.2025.2516062","DOIUrl":"10.1080/23249935.2025.2516062","url":null,"abstract":"<div><div>The rapid expansion of ride-hailing services highlights the need for a deeper understanding of their competitive and cooperative relationships with subway systems to promote the integration of these transportation services, which is crucial for enhancing overall transportation service integration. Most studies focus on interactions within network grids or traffic analysis zones, yet there is limited research on how the built environment around subway stations – key nodes in this dynamic – affects these relationships. To address this gap, this study proposes an index to quantify the competitive and cooperative utility of ride-hailing services around subway stations. Using 2023 ride-hailing data from Hangzhou, China, a random forest model is applied to analyze the impact of built environment factors on this competitive and cooperative utility, revealing significant nonlinear and threshold effects. These findings provide valuable insights for urban planners aiming to optimise the integration of public transportation networks.</div></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"22 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Examining the adoption potential of a new travel chain integrating electric vehicle sharing and rail transit 研究整合电动汽车共享和轨道交通的新型出行链的采用潜力

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-05-04 Epub Date: 2025-09-23 DOI: 10.1080/23249935.2025.2561893

Shunchao Wang , Qi Cao , Qinghai Lin , Chunting Nie , Yuchen Song

{"title":"Examining the adoption potential of a new travel chain integrating electric vehicle sharing and rail transit","authors":"Shunchao Wang , Qi Cao , Qinghai Lin , Chunting Nie , Yuchen Song","doi":"10.1080/23249935.2025.2561893","DOIUrl":"10.1080/23249935.2025.2561893","url":null,"abstract":"<div><div>Electric Vehicle Sharing (EVS) can reduce transport-related emissions, yet its scalability faces operational and cost barriers. Integrating EVS with Rail Transit (EVS + RT) offers a sustainable mobility pathway by enhancing first-/last-mile connections. Prior studies often view EVS as a substitute for traditional modes, overlooking multimodal adoption willingness. This study investigates EVS + RT adoption via a web-based commuter survey, analyzing demographics, travel patterns, and latent preferences. A Mixed Logit model quantifies the roles of income, environmental awareness, commute distance, and station proximity. Findings show that access to transit hubs, charging convenience, and unified payment platforms raise adoption, while cost sensitivity and car dependence hinder it. Results highlight the need for user-centered planning, such as optimizing EVS station placement and dynamic pricing. By integrating practical and psychological factors, the study provides policy insights to scale EVS + RT and support low-carbon urban mobility.</div></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"22 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

A two-stage game-theoretical framework for Pricing & Management problem of shared mobility in a competitive market 竞争市场中共享交通定价与管理问题的两阶段博弈理论框架

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-05-04 Epub Date: 2024-07-04 DOI: 10.1080/23249935.2024.2372462

Wenshan Liu , Zihao Tian , Yixiao Liu , Rui Zhao , Lixin Tian , David Z. W. Wang

{"title":"A two-stage game-theoretical framework for Pricing & Management problem of shared mobility in a competitive market","authors":"Wenshan Liu , Zihao Tian , Yixiao Liu , Rui Zhao , Lixin Tian , David Z. W. Wang","doi":"10.1080/23249935.2024.2372462","DOIUrl":"10.1080/23249935.2024.2372462","url":null,"abstract":"<div><div>With the global proliferation of shared mobility systems, the vehicle-sharing market has witnessed an influx of companies and investors, thereby intensifying competition and potentially leading to suboptimal decision-making. Consequently, there is a pressing need for a modelling framework that specifically addresses operational and strategic-level policy design for multiple vehicle-sharing companies in a competitive market. In this study, we develop a two-stage game-theoretical framework to simulate the competitive process between multiple vehicle-sharing companies, facilitating their business decisions regarding pricing and management (P&M) problem, where management mainly include service area design, vehicle deployment, redirecting, and rebalancing. In the first stage of the framework, two companies operating under the same shared mobility service form a strategic alliance to compete against another vehicle-sharing service. Subsequently, in the second stage, these two companies engage in competition to maximise their individual profits. Based on the factors such as generalised travel cost, average acceptance level and vehicle availability, the competition process of each stage is formulated as a generalised Nash equilibrium problem. A linearisation method is employed for solving the equilibrium solution. Finally, we apply our proposed models to various vehicle-sharing systems and application scenarios to demonstrate their applicability. The numerical results illustrate that our model assists companies in making rational management decisions amidst intense competition while also revealing market competition landscape of vehicle-sharing systems based on different travel distances in the shared mobility market.</div></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"22 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141884655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Joint optimization of truck-drone routing for last-mile deliveries in urban areas 针对城市地区最后一英里配送的卡车-无人机联合路由优化

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-05-04 Epub Date: 2024-08-23 DOI: 10.1080/23249935.2024.2392611

Meiqi Liu , Yalan Li , Xinwei Wang

引用次数: 0

Customised bus service design considering flexible vehicle size and transfer incentivization 考虑到灵活的车辆尺寸和换乘激励措施的定制公交服务设计

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-01-02 Epub Date: 2024-08-10 DOI: 10.1080/23249935.2024.2388618

Jianbiao Wang , Tomio Miwa , Dawei Li , Takayuki Morikawa

引用次数: 0

In loving memory of Professor Richard Allsop: a great loss to HKSTS and the transportation community 深切缅怀理查德-艾尔索普教授：香港科技学院和交通运输界的重大损失

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-01-02 Epub Date: 2024-04-06 DOI: 10.1080/23249935.2024.2338993

S. C. Wong (Professor)

引用次数: 0

Correlation-based feature selection and parallel spatiotemporal networks for efficient passenger flow forecasting in metro systems 基于相关性的特征选择和并行时空网络用于地铁系统的高效客流预测

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-01-02 Epub Date: 2024-04-04 DOI: 10.1080/23249935.2024.2335244

Cong Xiu , Shuguang Zhan , Jinyi Pan , Qiyuan Peng , Zhiyuan Lin , S.C. Wong

{"title":"Correlation-based feature selection and parallel spatiotemporal networks for efficient passenger flow forecasting in metro systems","authors":"Cong Xiu , Shuguang Zhan , Jinyi Pan , Qiyuan Peng , Zhiyuan Lin , S.C. Wong","doi":"10.1080/23249935.2024.2335244","DOIUrl":"10.1080/23249935.2024.2335244","url":null,"abstract":"<div><div>This paper presents a novel framework for predicting metro passenger flow that is both interpretable and computationally efficient. The proposed method first uses a correlation-based spatiotemporal feature selection strategy (Cor-STFS) to identify the optimal input scheme for the prediction model, effectively reducing unnecessary interference. The framework then introduces a new multivariate passenger flow prediction architecture called STA-PTCN-BiGRU, which combines a spatiotemporal attention (STA) mechanism, parallel temporal convolutional networks (PTCN), and bidirectional gated recurrent units (BiGRU) to capture the dynamic internal patterns of passenger flow. By utilising parallel computing, this architecture significantly reduces resource consumption. The effectiveness of the proposed approach is evaluated using four datasets from the Shanghai Metro. Experimental results show that the new method outperforms baseline approaches in terms of root mean square error (RMSE), mean absolute error (MAE), and symmetric mean absolute percentage error (SMAPE), achieving average reductions of 9.98%, 8.08%, and 13.29% in these metrics, respectively.</div></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"22 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140594901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Logistics vehicle routing optimisation with synchronised transfer 同步转移的物流车辆路线优化

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-01-02 Epub Date: 2024-05-23 DOI: 10.1080/23249935.2024.2355954

Shuai Wang , Xiaoning Zhu , Siyu Zhuo , Pan Shang

引用次数: 0

Diversity-oriented dynamic ensemble selection approach for multi-class road traffic injury severity predictions with interpretable insights 面向多样性的多类别道路交通伤害严重程度预测的动态集成选择方法

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-01-02 Epub Date: 2025-08-06 DOI: 10.1080/23249935.2025.2542283

Kamran Aziz , Feng Chen , Inamullah Khan , Zahid Ullah , Mona Jamjoom , Muhammad Imran Khan

{"title":"Diversity-oriented dynamic ensemble selection approach for multi-class road traffic injury severity predictions with interpretable insights","authors":"Kamran Aziz , Feng Chen , Inamullah Khan , Zahid Ullah , Mona Jamjoom , Muhammad Imran Khan","doi":"10.1080/23249935.2025.2542283","DOIUrl":"10.1080/23249935.2025.2542283","url":null,"abstract":"<div><div>Accurately predicting crash injury severity in multi-class settings is vital for improving road safety, as different injury levels require tailored interventions. This study explores the effectiveness of Dynamic Ensemble Selection (DES) combined with Static Ensemble Selection (SES) classifiers for multi-class injury severity prediction. We employ diversity-driven DES methods—DES-KNN and DES-Clustering—alongside classifiers such as Extra Trees, AdaBoost, and XG-Boost. To address data imbalance, SMOTE and its variants are applied for equitable class representation. Results show that DES-KNN with XG-Boost, using SMOTE preprocessed data, achieves the best performance with a Balanced Accuracy Score of 0.56, G-Mean of 0.66, and MCC of 0.26. Additionally, LIME is used to interpret model predictions and enhance transparency by highlighting influential features. Our findings demonstrate that integrating DES with SES classifiers significantly improves predictive performance and interpretability, highlighting DES as a valuable approach for handling imbalanced multi-class crash severity data in support of sustainable transportation strategies.</div></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"22 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Toll road crash severity using mixed logit model incorporating heterogeneous mean structures 使用包含异质平均结构的混合对数模型计算收费公路车祸严重程度

IF 3.1 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2026-01-02 Epub Date: 2024-04-19 DOI: 10.1080/23249935.2024.2343755

Subasish Das , Monire Jafari , Ahmed Hossain , Rohit Chakraborty , Mahmuda Sultana Mimi

{"title":"Toll road crash severity using mixed logit model incorporating heterogeneous mean structures","authors":"Subasish Das , Monire Jafari , Ahmed Hossain , Rohit Chakraborty , Mahmuda Sultana Mimi","doi":"10.1080/23249935.2024.2343755","DOIUrl":"10.1080/23249935.2024.2343755","url":null,"abstract":"<div><div>The current study examined 1,465 crash observations (2017–2021) from Louisiana, identifying significant variables grouped into three major categories: drivers’, crash, and road characteristics. Considering crash injury severity as a dependent variable, we employed classic Multinomial Logit (MNL) model, and several other models to address unobserved heterogeneity in crash data including Random Parameter Logit (RPL), Random Parameter Logit with Heterogeneity in Means (RPLHM), and Random Parameter Logit with Heterogeneity in Means and Variance (RPLHMV). Our findings highlight the impact of factors such as driver gender, age, traffic violations, driver distractions, crash types, surface conditions, and roadway attributes on crash injury severity. These insights emphasise the complexity of toll road safety and inform targeted interventions to mitigate crash injury severity. Notably, male drivers and those under 25 years old increased property damage likelihood, while factors like driver distractions and lower posted speed limits reduced the likelihood of severe injuries or fatalities.</div></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"22 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140610480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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