Journal of Transport Geography最新文献

{"title":"Corrigendum to “Comparing shared autonomous vehicle adoption in Beijing and Busan: The role of rideshare perception” [Journal of Transport Geography, 133 (2026) 104647]","authors":"Jinhyeok Jang, Gahyeong Yu, Fei Wang, Sunxuhan Wang, Haotian Zhong, Jinuk Hwang","doi":"10.1016/j.jtrangeo.2026.104662","DOIUrl":"https://doi.org/10.1016/j.jtrangeo.2026.104662","url":null,"abstract":"","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"46 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147726705","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":"From proximity to equity: Rethinking X-minute-city policies for accessibility equity through a spatial optimization perspective","authors":"Jianying Wang ,&nbsp;Mei-Po Kwan ,&nbsp;Dong Liu ,&nbsp;Yang Liu ,&nbsp;Lan Wang","doi":"10.1016/j.jtrangeo.2026.104581","DOIUrl":"10.1016/j.jtrangeo.2026.104581","url":null,"abstract":"<div><div>The 15-min city (15mC) framework has emerged as a transformative urban planning strategy to promote equitable access to essential urban services. However, existing studies predominantly focus on descriptive, static, and urban-core-based analyses of accessibility coverage, neglecting predictive insights into how this policy shift might impact systemic spatiotemporal disparities in suburban and peri-urban contexts. This study introduces a novel optimization-based evaluation framework that integrates temporal accessibility metrics to assess how different policy objectives—minimizing average travel time versus maximizing population coverage within 15-, 30-, and 45-min thresholds—shape spatial equity across urban-suburban gradients. Leveraging high-resolution data on COVID-19 testing sites in 10 Chinese megacities, we identify persistent suburban accessibility deserts, particularly under nighttime conditions, and quantify the implications of different planning strategies. Our findings reveal that proximity-driven goals, while effective in boosting 15-min coverage, often fail to mitigate temporal and spatial inequities, especially in underserved suburban areas. In contrast, efficiency-driven approaches not only enhance overall travel performance but also deliver disproportionate benefits to marginalized populations in peripheral zones. This study challenges proximity-centric assumptions embedded in current 15mC discourse and highlights the need for context-sensitive, temporally-aware equity metrics. Our methodological innovations offer transferable tools for equitable public service allocation and provide strategic guidance for suburban planning under both crisis and normal conditions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"132 ","pages":"Article 104581"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147668","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":"Investigating intercity commuting using distance decay in a two-stage regression framework: A case study of Shenzhen Metropolitan Area in China","authors":"Zhaodong Zhang ,&nbsp;Yaoyu Lin ,&nbsp;Kezhou Ren ,&nbsp;Li Guo ,&nbsp;Yongxi Gong ,&nbsp;Yu Liu","doi":"10.1016/j.jtrangeo.2026.104585","DOIUrl":"10.1016/j.jtrangeo.2026.104585","url":null,"abstract":"<div><div>Metropolitan areas are the most concentrated spaces of population and economic activity. Intercity commuting is not only a core driver of metropolitan operations but also an important indicator of metropolitan integration. However, existing studies lack a systematic framework to characterize intercity commuting and compare it with intracity commuting. This study uses mobile phone signaling data from the Shenzhen Metropolitan Area and proposes a two-stage regression framework. In the first stage, a flow-based geographically weighted regression model is used to estimate distance decay coefficients; in the second stage, random forest combined with SHAP analysis is applied to examine the influence of the built environment. The results show that intercity commuting decays faster than intracity commuting and exhibits spatial heterogeneity. Along city boundaries, short-distance intercity commuting shows quick decay due to limited transport supply and administrative barriers; along the perpendicular direction, medium- and long-distance intercity commuting is influenced by cross-border coordination, high-level transport infrastructure, and housing price differences, which reduce decay, but poor connectivity or high combined costs of housing and transport can still increase it. This framework systematically reveals the distance sensitivity and spatial heterogeneity of intercity commuting, enabling comparison with intracity commuting and providing empirical evidence for metropolitan integration and sustainable development</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"132 ","pages":"Article 104585"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175065","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":"Long or short-distance travel? Mobile phone data reveals how the built environment affects elderly travel patterns","authors":"Yu Zhu ,&nbsp;Xinyue Gu ,&nbsp;Xiangping Zhang ,&nbsp;Jie Liu","doi":"10.1016/j.jtrangeo.2026.104586","DOIUrl":"10.1016/j.jtrangeo.2026.104586","url":null,"abstract":"<div><div>As global societies enter an aging phase, optimizing urban environments to accommodate the diverse mobility needs of older adults has become a central issue for sustainable urban development. However, current research predominantly emphasizes the impact mechanisms of walkable environments in city centers, often ignoring the different travel demands of peripheral communities and lacking a comprehensive framework to match varied needs with targeted interventions.<!--> <!--> This study addresses these gaps by examining Nanjing, China, utilizing mobile phone data to monitor spatial disparities in both long-distance and short-distance travel among older adults. An integrated research framework was developed, combining Micro-environmental Perception with Macro-environmental Services. Employing MGWR, XGBoost, and SHAP models, the study elucidates the spatial characteristics and nonlinear influences of various factors. A four-dimensional framework encompassing travel intensity, residential density, micro perception, and macro services was established to identify existing mismatches in resource allocation.<!--> <!--> Key findings include: (1) Long-distance travel forms multiple clusters in the urban periphery and is primarily influenced by factors such as traffic service, healthcare facilities, and land-use mix. (2) Short-distance travel is concentrated in the city center and is more affected by scenic density, safety perception, and human-scale features. (3) Two types of mismatched communities with regeneration potential were identified: those with high travel intensity but poor environmental quality, and those with low travel intensity but high residential density. <!--> <!-->These insights offer a nuanced understanding of older adults' travel patterns and provide concrete references for policymakers aiming to enhance travel environments from the perspective of the elderly.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"132 ","pages":"Article 104586"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175072","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":"Multimodal transport path planning for New International Land-Sea Trade Corridor of China based on deep reinforcement learning","authors":"Weipan Zhang ,&nbsp;Kui Yi ,&nbsp;Zhihan Huang ,&nbsp;Jihong Chen ,&nbsp;Xianhua Wu ,&nbsp;Jingyan Wu","doi":"10.1016/j.jtrangeo.2026.104587","DOIUrl":"10.1016/j.jtrangeo.2026.104587","url":null,"abstract":"<div><div>The New International Land-Sea Trade Corridor is located in western China. It connects the Silk Road Economic Belt, the 21st Century Maritime Silk Road, and the Yangtze River Economic Belt, and holds an important strategic position in the regional coordinated development. Aiming at the high-dimensional decision-making problem of multimodal transport path planning for the new corridor, this paper proposes a path planning algorithm that combines a multi-hierarchy heterogeneous graph attention network with deep Q-network (MHGAN-DQN). The algorithm dynamically incorporates the multiple heterogeneous relationships between nodes and edges in the transportation network into the action selection process, significantly enhancing the model's ability to capture key paths. Additionally, the algorithm introduces a node decomposition method to ensure consistency in the reward of action selection, avoiding conflicts with the requirements of the Bellman equation, effectively simplifying the state space management in path planning. Finally, this paper thoroughly examines the multi-objective impact of cost, time, and carbon emission on multimodal transport path selection. It further explores the comprehensive impact of railway freight subsidies, carbon tax policies, and uncertainties in transportation time on the final transportation scheme. The research results significantly improve the accuracy and efficiency of path decision-making, deepen the application of deep reinforcement learning in multimodal transport, and provide decision-making support for policy development related to the sustainable development of logistics systems of the New International Land-Sea Trade Corridor.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"132 ","pages":"Article 104587"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160572","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":"Visual clustering of urban environments: Associations with household and travel characteristics","authors":"Zeyu Wang ,&nbsp;Yingjie Liu ,&nbsp;Don MacKenzie","doi":"10.1016/j.jtrangeo.2025.104546","DOIUrl":"10.1016/j.jtrangeo.2025.104546","url":null,"abstract":"<div><div>This study explores the relationship between the built environment and travel behaviors, emphasizing eye-level visual features and subjective experiences often overlooked in traditional metrics. Using the Semantic-SAM image segmentation model and machine learning, Seattle’s built environment was categorized into three visually distinct clusters based on time series street view imagery collected from 2017 to 2021. Integrating these clusters with three corresponding waves of Puget Sound Travel Surveys revealed clear links between built environments, travel modes, vehicle use, and equity. The findings demonstrate how visually distinct environments shape travel behavior and household changes, emphasizing the possible effect of urban design and infrastructures provided. While Seattle has made strides in creating walkable, transit-accessible neighborhoods, challenges such as equity and automobile dependence remain. This study provides the possibility of complementing traditional built environment metrics with imagery data.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104546"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925971","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":"Examining airport intermodal access mode choice behaviour using interpretable machine learning","authors":"Bozhan Qin ,&nbsp;Min Yang ,&nbsp;Yucheng Wang ,&nbsp;Fan Jiang ,&nbsp;Boqing Wang ,&nbsp;Mingye Zhang","doi":"10.1016/j.jtrangeo.2026.104558","DOIUrl":"10.1016/j.jtrangeo.2026.104558","url":null,"abstract":"<div><div>Understanding the ground access travel behaviour of airport users is essential for improving airport services. While previous studies largely focus on unimodal travel, limited attention has been paid to door-to-airport intermodal access. This study examines ground intermodal access mode choice behaviour, using Beijing Daxing International Airport as a case study. We apply Extreme Gradient Boosting (XGBoost) to model mode choice behaviour, and utilise interpretable machine learning techniques including SHapley Additive exPlanation (SHAP) values and Accumulated Local Effects (ALE) plots to capture nonlinear behavioural patterns. Findings reveal that intermodal choices are strongly shaped by traveller characteristics and access/feeder travel time thresholds. The metro-private vehicle intermodal is attractive when metro travel time is 43–62 or 75–105 min, and feeder time exceeds 7 min. The airport coach-private vehicle intermodal is appealing when the feeder time is under 16 min and the coach line-haul time exceeds 79 min. Although the effect is modest, the high-speed rail–private vehicle intermodal is facilitated by a feeder time of 14–33 min. Key policy implications include time- and threshold-specific strategies, with integrated bundles and real-time coordination of feeder and line-haul services. The study advances understanding of threshold-sensitive intermodal decisions and provides insights for developing sustainable and traveller-oriented airport ground transport services.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104558"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146015042","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":"Beyond the plug: Enhancing the user experience at public electric vehicle (EV) charging hubs. Insights from a multi-site UK study","authors":"Labib Azzouz ,&nbsp;Christian Brand ,&nbsp;Tina Fawcett ,&nbsp;Zhaoqi Zhou ,&nbsp;Maryam Altaf","doi":"10.1016/j.jtrangeo.2025.104530","DOIUrl":"10.1016/j.jtrangeo.2025.104530","url":null,"abstract":"<div><div>As electric vehicle (EV) adoption accelerates, the need for accessible, efficient, and inclusive charging infrastructure has become increasingly critical. However, the user experience at public EV charging stations remains largely underexplored. Existing research often focuses narrowly on instrumental dimensions of the charging process, overlooking attitudinal and affective aspects. Addressing this and other gaps, this study investigates diverse instrumental, attitudinal, and affective user experiences at public EV charging hubs, focusing on accessibility, usability, and reliability. An onsite questionnaire gathered data on user demographics, journey characteristics, EV driving patterns, charging habits and preferences, and (30) EV charging experiences. Beyond traditional performance ratings, the study differentiated between expected and actual ‘realised’ experiences, calculating disgruntlement scores and dissatisfaction levels. Findings suggested that expectations were highest for ease of use and payment, availability of functioning rapid chargers, station accessibility, and perceptions of safety, security, and hygiene. Aggregate disgruntlement analysis identified dissatisfaction with remote assistance, mobile app usability, clarity in data sharing and costs, and service information provision. MANOVA results revealed significant cross-hub variations, underscoring the impact of location and site-specific characteristics. Additionally, factors such as age, trip purpose, charging duration, EV driving experience, residential location, and user type significantly influenced experiences. The ‘combined’ influence of hubs and user- and trip-related factors revealed further novel insights. The study concluded by highlighting areas for improvement and interventions. It is hoped that the findings and recommendations discussed will assist policymakers, planners, designers, and operators in creating more efficient, equitable, and inclusive EV charging hubs, supporting wider EV transitions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104530"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145823494","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 knowledge, attitudes, and practices of active mobility in a developing economy city","authors":"Jotham I. Sempewo ,&nbsp;Isaac G. Musaazi ,&nbsp;Jochen Eckart ,&nbsp;Catharina Lutz ,&nbsp;Hidaya Namakula ,&nbsp;Mary W. Mwangi ,&nbsp;Winnie Mitullah ,&nbsp;Azeb Tesfaye ,&nbsp;Amanda A. Ngabirano ,&nbsp;Umaru Bagampadde ,&nbsp;Gebremariam G. Feleke ,&nbsp;Joseph Tusubira ,&nbsp;Angela Francke","doi":"10.1016/j.jtrangeo.2026.104579","DOIUrl":"10.1016/j.jtrangeo.2026.104579","url":null,"abstract":"<div><div>Active mobility options such as walking and cycling offer affordability and environmental benefits, making them essential in rapidly urbanizing cities. Yet these modes remain underused in many developing contexts due to limited evidence to guide planning and investment. This study examines how socioeconomic, behavioral, and spatial factors shape active mobility choices in Kampala, Uganda. A cross-sectional survey of nearly 500 respondents across three city divisions collected information on demographics, travel behavior, infrastructure perceptions, and self-reported barriers. Using chi-square tests, latent class analysis, and logistic regression, we explored gender differences, occupational mobility patterns, and spatial accessibility. Findings show broad agreement across genders on the benefits of active mobility, though men more often linked it to congestion reduction likely reflecting greater exposure to peak-hour traffic. No gender differences were found in perceived barriers, suggesting shared infrastructural challenges. Occupational patterns revealed equity-linked mobility with unemployed individuals and students relying more on walking and cycling, underscoring economic necessity. Spatial analysis indicated significant variation in walking times across divisions due to urban form and walkway encroachments from informal trading. A two-class latent model further distinguished frequent active-mobility dependents, who face daily infrastructural challenges and develop adaptive familiarity with their environment, from occasional users whose limited engagement produces more favorable but less informed perceptions. Overall, these findings highlight that active mobility in Kampala is shaped as much by structural constraints as by preference. Advancing a more equitable and resilient transport system therefore demands a dual strategy, investing in safer, continuous, and better-connected infrastructure while reshaping social perceptions so that walking and cycling are viewed not as modes of necessity but as accessible, aspirational, and sustainable choices for all.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104579"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153101","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":"Dynamic accessibility modelling for cycling: Incorporating time-of-day and demographic variability in infrastructure preferences","authors":"Hans-Heinrich Schumann ,&nbsp;Craig Morton ,&nbsp;John Weightman ,&nbsp;Chuka John-Paul Agbu","doi":"10.1016/j.jtrangeo.2025.104508","DOIUrl":"10.1016/j.jtrangeo.2025.104508","url":null,"abstract":"<div><div>Increasing the opportunities for people to cycle addresses some of society's greatest challenges, including congestion, low air quality, health concerns, and unequal access to amenities. Current accessibility modelling identifies reachable spatially distributed activities but falls short of incorporating cycle parking facilities as well as riders' characteristics and time-dependent perceptions of cycling infrastructure.</div><div>This article addresses this gap by developing the dynamic accessibility framework. It is applied to the university market town of Loughborough, UK, in an exemplary manner. The results showcase that accessibility to services depends on personal characteristics alongside time-dependent variables and that accessibility models should account for the presence of cycle parking facilities.</div><div>The presented framework can be used as a tool to determine the best strategy to increase cycling accessibility on a spatially granular level, be it through improvements of cycling infrastructure and street lighting or behaviour change interventions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104508"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694920","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}