Journal of Transport Geography最新文献

{"title":"Exploring the nonlinear effects of greenery on active travel among the ageing population","authors":"Ruoyu Wang ,&nbsp;Jiaying Zhang ,&nbsp;Dongwei Liu ,&nbsp;Yao Yao ,&nbsp;Mengqiu Cao","doi":"10.1016/j.jtrangeo.2025.104299","DOIUrl":"10.1016/j.jtrangeo.2025.104299","url":null,"abstract":"<div><div>This paper examines the nonlinear influences of the quantity and quality of street-level greenery on active travel among older adults. The active travel information was obtained from the Study on Global Ageing and Adult Health conducted in Shanghai, China. Street-level greenery was assessed based on street view data and a deep learning approach, namely street view greenery quantity (SVG-quantity) and quality (SVG-quality). Gradient boosting decision tree models and SHapley Additive exPlanations were applied. The results showed that SVG-quantity had a positive and nonlinear link with active travel. However, SVG-quality was positively correlated to the propensity for active travel, but the association became inverse when SVG-quality exceeded a specific cut-off point. SVG-quality also had a nonlinear and positive association with the duration of active travel. This research demonstrates the importance of improving the provision of street-level greenery in urban areas, which is crucial for facilitating active lifestyles among the ageing population.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104299"},"PeriodicalIF":5.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167470","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}

{"title":"Spatio-temporal dynamic characteristics of the substitution effect of ride-hailing travel and its multi-activity network: a case study of Chengdu","authors":"Zhicheng Zheng ,&nbsp;Yang Li ,&nbsp;Peijun Rong ,&nbsp;Lijun Zhang ,&nbsp;Yaochen Qin ,&nbsp;Gangjun Liu","doi":"10.1016/j.jtrangeo.2025.104298","DOIUrl":"10.1016/j.jtrangeo.2025.104298","url":null,"abstract":"<div><div>The substitution relationship between ride-hailing and public transit significantly impacts urban transport carbon emissions. However, a quantitative analysis exploring the spatio-temporal dimensions of the substitution effect between these two modes of transport is still lacking. Furthermore, the motivations for travel and the associated activity networks remain unclear. This study proposes a spatio-temporal measure of the substitution effect of ride-hailing travels by introducing demand elasticity theory and big data technology to address these limitations. It explores the multi-activity network of the substitution effect and its community clustering features using an improved trip purpose identification method and complex network techniques. An empirical study in Chengdu, China, revealed a significant substitution influence of ride-hailing for public transport in central urban areas. Specifically, 28.69 % and 27.08 % of ride-hailing trips substituted public transport on weekdays and weekends, respectively. Regarding temporal variation, the substitution rate fluctuates dynamically with travel time and motivation changes and increases significantly during peak hours. Non-subsistence travel activities are the dominant type of substitute trips, while subsistence activities occur primarily during weekday peak hours. The complex network models reveal that the activity network of substitution effects exhibits significant spatial heterogeneity, hierarchy, and dependency characteristics. This research also confirms that differences in residents' travel patterns cause the coexistence of a monocentric and polycentric structure in the city. Furthermore, the community structure of substitute trips reveals that communities can shrink, disappear, or emerge depending on various temporal scenarios. These findings provide a basis for determining residential activity boundaries and travel circles. The study deepens the understanding of the dynamic interaction of the “substitution effect-multiple activity network-urban spatial structure” of travel modes. It provides valuable empirical evidence to enhance the competitiveness of public transport and more effectively regulate ride-hailing services. This holds significant practical value for sustainable urban development.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104298"},"PeriodicalIF":5.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167471","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}

{"title":"Empirical analysis of global crude oil transportation network amid the Russia-Ukraine conflict","authors":"Jie Zhu,&nbsp;Jing Lu,&nbsp;Wan Su","doi":"10.1016/j.jtrangeo.2025.104305","DOIUrl":"10.1016/j.jtrangeo.2025.104305","url":null,"abstract":"<div><div>This study examines the global Crude Oil Maritime Transportation Network (COMTN) in the context of the Russia-Ukraine conflict, focusing on its key structural elements, port communities and interdependencies. The COMTN is constructed using AIS data, along with a trade network built from the UNComtrade dataset. An analysis of changes in community structures within the trade network is then conducted, followed by the application of complex network theory and Point-wise mutual information (PMI) to evaluate port centrality and port interdependencies in COMTN. The findings reveal: (1) Western sanctions on Russia have resulted in a significant redirection of crude oil flows from Europe to Asia, leading to the formation of new trade clusters centered around China, India, and Russia, as well as emerging communities in Europe and the United States. (2) The structural and port analysis of the COMTN highlights the strong central positions of key hubs such as Fujairah, Singapore, and Rotterdam, reinforcing their roles as key hubs. (3) PMIs analysis identifies strong dependency relationships between ports, notably Ras Tanura and Zhoushan, Al Basra Oil Terminal and various India ports. The results provide essential insights to maritime authorities for the development of strategic import network plans and support policy initiatives aimed at enhancing global energy security and diversifying energy supply channels.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104305"},"PeriodicalIF":5.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167567","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}

{"title":"Built environment, car ownership and PM2.5: Stronger causal estimates from a quasi-experiment","authors":"Lin Shi ,&nbsp;Yiliang Jiang ,&nbsp;Faan Chen ,&nbsp;Kaiyi Zhu ,&nbsp;Chris P. Nielsen ,&nbsp;Yuejiao Wang ,&nbsp;Fang Tian ,&nbsp;Jiaorong Wu ,&nbsp;Xiaohong Chen","doi":"10.1016/j.jtrangeo.2025.104301","DOIUrl":"10.1016/j.jtrangeo.2025.104301","url":null,"abstract":"<div><div>The causal relationship between the built environment, car ownership, and travel-induced pollutant emissions remains obscured by residential self-selection (RSS) bias. This study leverages China's unique housing demolition and resettlement program to conduct a quasi-experiment, analyzing how the built environment impacts car ownership and travel-induced vehicle-related PM2.5 emissions in Shanghai. By employing structural equation modeling (SEM) on data from 5370 households relocated via government-assigned housing (i.e., replacement housing), we circumvent RSS bias and isolate the built environment's causal effects. Results reveal that higher residential density and land-use mix decrease car ownership but increase PM2.5 emissions to a certain extent, while increased road network density and bicycle/pedestrian connectivity reduce both car ownership and emissions. Car ownership, influenced by socio-demographics, the built environment, and transport services, mediates the relationship. Findings highlight the dual role of transportation and urban planning: extremely dense, mixed-use areas may inadvertently elevate emissions without green transport modes, whereas pedestrian-friendly designs and robust public transit reduce car dependency, hence decreasing emissions. This study provides actionable insights for policymakers to align urban and transport development with sustainability goals, advancing empirical evidence in a high-density Asian metropolis and addressing gaps in regional literature.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104301"},"PeriodicalIF":5.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167469","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}

{"title":"Envisioning shared autonomous vehicles (SAVs) for 374 small and medium-sized urban areas in the United States: The roles of road network and travel demand","authors":"Zihe Zhang ,&nbsp;Jun Liu ,&nbsp;Xinwu Qian ,&nbsp;Shuocheng Guo ,&nbsp;Chenxuan Yang ,&nbsp;Steven Jones","doi":"10.1016/j.jtrangeo.2025.104302","DOIUrl":"10.1016/j.jtrangeo.2025.104302","url":null,"abstract":"&lt;div&gt;&lt;div&gt;This study envisions a future of operating shared autonomous vehicles (SAVs) to provide mobility services in 374 small and medium-sized urban areas (population &lt; 375,000) in the United States. Specifically, this study 1) generates large-scale synthetic commuting trip data for 374 urban areas, 2) employs an agent-based modeling framework to simulate the operations of SAV fleets serving commuters in these areas, and 3) develops models to explain the variations of fleet performances across study areas. The main objectives of this study are to compare the performances of SAVs serving commuting trips across urban areas and to identify the correlates of SAV fleet performances related to regional road networks and travel demand characteristics. This study generated 30 million synthetic commuting trips for 374 small and medium-sized urban areas based on the Census' latest Longitudinal Employer-Household Dynamics (LEHD) data and the National Household Travel Survey (NHTS) data. Based on the agent-based modeling results, SAV fleet performances across 374 urban areas were analyzed. Key performance measures include the average number of trips per SAV vehicle for fleet efficiency and the percentage of empty vehicle miles traveled (VMT) for extra operating costs. Results showed significant spatial variations in SAV fleet performances across 374 urban areas. The results highlighted urban areas that either outperform or underperform other areas. For example, Great Falls MT, is associated with the highest fleet efficiency, and Fort Walton Beach-Navarre-Wright, FL, has the lowest percentage of empty VMT. Through statistical modeling, this study identified significant correlates of SAV fleet performance, which are significantly related to factors of road network properties and travel demand characteristics. A larger, denser, and more connected network is associated with greater fleet efficiency and reduced operating cost, while a network with a local clustering tendency may lead to decreased fleet efficiency and increased operating cost. Areas with denser trips or longer trips are associated with lower fleet efficiency and decreased operating costs. More modeling results are discussed in the paper, providing insights into how different local road network characteristics and travel patterns influence the operation of SAVs. These results help to identify strategies for tailoring SAV services to the unique needs of different regions. This study complements the literature on shared mobility and automation research currently centered on great metropolitan areas. The research findings are intended to serve as the basis for future discussions regarding opportunities and challenges of deploying emerging mobility services in small and medium-sized areas. The large-scale synthetic commuting data generated in this study are valuable for researchers and agencies to develop advanced travel and mobility models and to further explore the potential of deploying emergi","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104302"},"PeriodicalIF":5.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147524","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}

{"title":"Integrating track layout into urban rail vulnerability envelope assessment: A case of Hong Kong rail transit network","authors":"Yingying Xu ,&nbsp;Yu Gu ,&nbsp;Ho-Yin Chan ,&nbsp;Yi-Qing Ni ,&nbsp;Anthony Chen","doi":"10.1016/j.jtrangeo.2025.104271","DOIUrl":"10.1016/j.jtrangeo.2025.104271","url":null,"abstract":"<div><div>Vulnerability envelope is a recently proposed systematic tool for analyzing transportation network vulnerability, which evaluates the lower and upper bounds of vulnerability and reveals the possible range of network performance degradations under various disruption severities. However, in urban transit systems, vulnerability envelopes are typically evaluated using a simplified node-link topology. While this approach captures service resilience through train rescheduling, flexible stops and short turnaround times enabled by redundant tracks, it often overlooks the critical role of track layout in train operations during disruptions. Moreover, it may fail to accurately reflect system behavior, as operators might close rail sections to maintain service efficiency, preventing turnback operations. This article integrates track layout into vulnerability envelope analysis for urban rail transit networks. The proposed method is demonstrated using the urban rail transit network in Hong Kong, comparing vulnerability envelopes derived from track-based and link-based approaches. By considering both physical infrastructure and operational strategies, it enhances the realism of vulnerability assessments and provides actionable insights for decision-making.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104271"},"PeriodicalIF":5.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147525","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}

{"title":"The multimodal dynamics of “ride-pooling” and metro: Spatial-temporal patterns from East Asia","authors":"Weiping Xu ,&nbsp;Tianqi Gu ,&nbsp;Hyungchul Chung ,&nbsp;Zhuonan Jiang ,&nbsp;Han Li ,&nbsp;Kai Huang ,&nbsp;Wenbo Zhu","doi":"10.1016/j.jtrangeo.2025.104295","DOIUrl":"10.1016/j.jtrangeo.2025.104295","url":null,"abstract":"<div><div>“Ride-pooling” services provided by transportation network companies have gained substantial popularity and demonstrate significant potential for integration with mass rapid transit to form competitive multimodal transportation options. However, data-driven studies on these services, particularly those using spatial-temporal analysis, remain complex and underexplored. This study examines the intricate relationship between ride-pooling and metro services through a large-scale dataset from Suzhou, China, focusing on identifying cooperative and competitive dynamics between the two modes, classifying multimodal trips that include both ride-pooling and metro services, and uncovering spatial-temporal patterns within these interactions. The analytical framework incorporates joint methods such as time-sequence analysis, non-negative matrix factorization, and metro passenger origin-destination matrix inference to achieve the study's objectives. Findings reveal that 4.26 % of all ride-hailing trips were pooled rides, while multimodal trips involving transfers between ride-pooling and mass rapid transit accounted for 13.5 % of total trips, offering economic benefits for users. These multimodal trips primarily cater to commuting demands and exhibit distinct, imbalanced peak-hour usage patterns. Spatial analysis indicates that the majority of these trips occur in suburban and outskirt areas, where mass rapid transit coverage is limited and correlates strongly with “industrial” land use. The distribution of corresponding metro trips shows similar spatial patterns. This research provides new insights into the integration potential of ride-pooling and metro services, highlighting critical multimodal spatial-temporal patterns.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104295"},"PeriodicalIF":5.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147523","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}

{"title":"Exploring the complex relationships between air pollution, life satisfaction and mental health through the lens of daily activity-travel patterns: The case of a suburban residential community in Beijing","authors":"Wenbo Guo ,&nbsp;Tim Schwanen ,&nbsp;Christian Brand ,&nbsp;Yanwei Chai","doi":"10.1016/j.jtrangeo.2025.104300","DOIUrl":"10.1016/j.jtrangeo.2025.104300","url":null,"abstract":"<div><div>The association of air pollution with subjective wellbeing and mental health is a topic of growing discussion in the fields of environment science, public health, psychology and geography of health. However, short-term (activity/trip episode and momentary) to medium-term (day and week) air pollution exposure, however, has not been fully studied in relation to long-term (month and year) subjective wellbeing and mental health. Using an activity-travel diary survey conducted in the Meiheyuan residential community, Beijing between November 2017 and January 2018, we investigated the associations of day-level ambient and perceived air pollution exposure with day-level satisfaction, long-term life satisfaction and mental health through the lens of daily activity-travel patterns. Here we found that day-level perceived air pollution, rather than day-level ambient PM_2.5 exposure, is negatively related to people's life satisfaction and mental health in the long term, primarily by reducing day-level satisfaction. Among attributes of people's daily activity and travel pattern, public transport duration is directly and positively associated with life satisfaction, and indirect connections are established through day-level satisfaction and day-level perceived air pollution. However, no activity-travel pattern variables are statistically significantly related to mental health. Moreover, life circumstances have a stronger association with life satisfaction than with mental health, with both direct effects and indirect effects related to day-level perceived air pollution and day-level satisfaction.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104300"},"PeriodicalIF":5.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135103","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}

{"title":"The 15-minute city around one's trajectory: Evaluating food accessibility for transit users in Stockholm, Sweden","authors":"Kaitlyn Ng ,&nbsp;Cynthia Chen ,&nbsp;Erik Jenelius","doi":"10.1016/j.jtrangeo.2025.104283","DOIUrl":"10.1016/j.jtrangeo.2025.104283","url":null,"abstract":"<div><div>The “15-minute city” concept provides a framework for livable, sustainable cities but often overlooks human mobility, public transit, and factors beyond proximity when measuring accessibility. This study introduces an interpretable, individual-level, trajectory-based accessibility measure considering connections to amenities through the transportation system, affordability, and operating hours in addition to proximity. A case study is performed in Stockholm, Sweden. Using ST-DBSCAN, travel patterns are mined from transit smartcard data of frequent transit users to build representative trajectories. Grocery store accessibility is defined as the number of stores reachable within a 15-walk of anchors along individual trajectories. Results show residents of the dense, walkable city center have high home-based accessibility, but fewer affordable stores. Considering mobility, individuals living in rural or suburban areas with high transit connectivity observe large, positive accessibility increases. However, those living in areas with poor transit connectivity observe marginal accessibility improvements. Residents of the city center also observe marginal accessibility improvements as they already live in resource-rich areas. The trajectory-based accessibility measure can identify areas requiring accessibility improvements or evaluate policy effects (e.g., changes in transit routes) on accessibility.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104283"},"PeriodicalIF":5.7,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115119","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}

{"title":"Complex network analysis of China's integrated air-high-speed rail network: Topological characteristics, centrality measures, and cluster analysis","authors":"Mengyuan Lu ,&nbsp;Edgar Jimenez Perez ,&nbsp;Keith Mason","doi":"10.1016/j.jtrangeo.2025.104292","DOIUrl":"10.1016/j.jtrangeo.2025.104292","url":null,"abstract":"<div><div>This paper presents a comprehensive complex network analysis of China's integrated air-High-Speed Rail (HSR) network by constructing a directed weighted network and comparing its complex characteristics with its sub-networks. The findings reveal that, beyond small-world properties, the networks exhibit broad-scale characteristics with a rapid decline in degree distribution, deviating from the traditional scale-free model due to operational constraints and market saturation. Centrality analysis highlights the rising importance of secondary hubs, such as Xi'an, Kunming, and Zhengzhou, as strategic transit points linking urban centres and peripheral regions. The integrated network achieves enhanced efficiency through hybrid modularity, combining the aviation network's centralised structure with the HSR network's corridor-focused design. While this integration fosters economic connectivity and regional development, resilience challenges emerge due to reliance on high-centrality nodes. These findings offer implications for intermodal transport planning and regional development.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104292"},"PeriodicalIF":5.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099377","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}