Journal of Transport Geography最新文献

{"title":"Reframing the holiday peak: Structural reconfiguration and shifting mechanisms of intercity mobility networks in China","authors":"Haosong Wen ,&nbsp;De Zhao ,&nbsp;Zhen Meng ,&nbsp;Qi Ai ,&nbsp;Wei Wang ,&nbsp;Xuedong Hua ,&nbsp;Weijie Yu","doi":"10.1016/j.jtrangeo.2025.104501","DOIUrl":"10.1016/j.jtrangeo.2025.104501","url":null,"abstract":"<div><div>Intercity human mobility networks exhibit pronounced temporal heterogeneity, yet the structural and mechanistic reconfigurations that occur during high-demand episodes such as national holidays remain underexplored, particularly regarding their integrated dynamics. Addressing this gap, this study examines how China’s intercity mobility network reorganizes across regular and holiday periods through a multi-scale analytical framework that integrates network structural analysis with relational modeling. Drawing on nationwide location-based services data, the findings reveal a fundamental reconfiguration: the macro-scale network backbone shifts focus from established economic and administrative corridors toward alternative regional transport hubs, while meso-scale organization transitions from a dual-core hierarchy dominated by national centers to a more dispersed, tripolar pattern comprising supra-regional communities. This structural adaptation occurs alongside a significant recalibration of spatial interaction mechanisms: distance friction intensifies, economic complementarity such as income weakens, while non-economic factors like cultural proximity gain prominence, and notably, housing prices shift from deterrents to attractors. Synthesizing these results, the study demonstrates the coordinated evolution of network structure and relational mechanisms, revealing the temporally conditioned nature of spatial interaction principles. These insights challenge static frameworks, highlight the adaptive capacity of urban systems, and underscore the need for context-sensitive transport planning.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104501"},"PeriodicalIF":6.3,"publicationDate":"2025-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694919","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":"Corrigendum to “Siting for demand and equity: Optimizing level 2 electric vehicle charger placement” [Journal of Transport Geography, Volume 128, October 2025, 104369]","authors":"Carlos Mateo Samudio Lezcano ,&nbsp;Corey D. Harper ,&nbsp;Destenie Nock","doi":"10.1016/j.jtrangeo.2025.104505","DOIUrl":"10.1016/j.jtrangeo.2025.104505","url":null,"abstract":"","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104505"},"PeriodicalIF":6.3,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657551","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":"Coordinated emergency resource allocation for resilience enhancement in post-disaster electrified transportation networks","authors":"Yingjie Song ,&nbsp;Dong Ngoduy ,&nbsp;Chuan Ding","doi":"10.1016/j.jtrangeo.2025.104503","DOIUrl":"10.1016/j.jtrangeo.2025.104503","url":null,"abstract":"<div><div>The growing adoption of electric vehicles (EVs) and fast charging stations (FCSs) has intensified the coupling between urban transportation network (TN) and power distribution network (PDN), forming a closely coupled transportation and power network (CTPN). This interdependence, however, can exacerbate urban vulnerability during disasters: disruptions in one subnetwork can trigger internal cascading failures, which propagate to the interdependent subsystem via coupling mechanisms. Existing research often overlooks these dynamic cross-system interactions during disruptions, leading to suboptimal emergency resource allocation and potentially misleading recovery strategies. To address this limitation, this study proposes an optimized decision-making framework for coordinated emergency resource allocation in CTPN, aiming to minimize total travel time and active/reactive power curtailments under resource constraints. As a result, a mixed-integer linear programming (MILP) model is developed that integrates, for the first time, TN lane reversal, FCS charging pile management, and PDN line switching within a unified framework. Route choice behavior, EV charging dynamics, and PDN operational constraints are concurrently considered in this model, meticulously characterizing the multi-scale interdependencies among traffic flow dynamics, FCS operations, and power dispatch. Numerical simulations demonstrated that compared to link reversing or isolated optimization strategies for TN and PDN, the proposed method exhibited significant advantages in mitigating traffic congestion, fulfilling travel demand, and reducing power curtailment. This study provides urban planners with a scalable and high-precision modeling methodology and decision tool, offering theoretical support for CTPN resilience enhancement and coordinated post-disaster recovery.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104503"},"PeriodicalIF":6.3,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657984","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":"Can railway station areas become inclusive 24-h urban spaces? A chronotopic approach with empirical evidence from China","authors":"Jingyao Dong ,&nbsp;Ryuzo Ohno","doi":"10.1016/j.jtrangeo.2025.104500","DOIUrl":"10.1016/j.jtrangeo.2025.104500","url":null,"abstract":"<div><div>Many railway stations operate around the clock, particularly in densely populated regions where transport capacity remains inadequate. Yet planning practice still treats them as purely spatial entities, overlooking temporal dynamics, which risks overestimating theiravailability and efficiency. Framing railway station areas as chronotopes, this study applies Lefebvre's rhythmanalysis to capture 24-h space-time–behavior interactions and evaluate the 24-h inclusiveness. Based on a survey of ten major hubs in China, we first construct a typology of four train operational patterns that function as domain pacemakers. Then, through an in-depth case study of Nanjing Station Area, we uncover the misalignment between institutional/service rhythms and lived behaviors. The findings reveal that the station's rhythmic conflicts are not mere scheduling errors, but manifestations of three deeper systemic contradictions: 1) the logic of “node” and “place”, 2) the decoupling of national and local governance, and 3) the unequal power in temporal framing. To address these contradictions, we propose a set of planning implications. Strategically, we call for a paradigm shift in planning along three axes: from optimizing spatial allocation to coordinating rhythmic relationships; from pursuing universal synchronization to fostering differentiated coordination; and from a provision-oriented to a capability-oriented logic. Tactically, we offer a hierarchical toolkit of Rhythmic Choreographies with a Rhythmic Negotiation Framework to facilitate stakeholder coordination. The chronotopic framework enriches transport-geography theory on space-time convergence and offers guidance for urban planners and policymakers to pursue 24-h urban inclusiveness.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104500"},"PeriodicalIF":6.3,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658142","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":"Evaluating spatial disparities in public EV charging infrastructure across the United States","authors":"T.M. Junaid Bashar ,&nbsp;Ran Tao ,&nbsp;Caleb Fernandes ,&nbsp;Zhenzhi Jiao","doi":"10.1016/j.jtrangeo.2025.104507","DOIUrl":"10.1016/j.jtrangeo.2025.104507","url":null,"abstract":"<div><div>Growing environmental concerns and rising energy demand have driven efforts to promote electric vehicles (EVs). However, geographic disparities in public EV charging station (EVCS) distribution continue to hinder progress toward a cleaner transportation future. While previous studies have largely focused on local or regional patterns, this study provides a comprehensive national analysis of public EVCS accessibility across the contiguous United States. Integrating spatial statistics (Bivariate Local Moran's I, colocation analysis) with machine learning (XGBoost) and explainable GeoAI (GeoShapley), we assess how EVCS distribution relates to socioeconomic, demographic, built environment, policy, and environmental factors. We find that EVCS accessibility is positively associated with population density, income, and the driving-age population, but negatively associated with road length per capita in many regions, including Florida, California, and parts of the Northeast. Spatial mismatches persist: EVCSs colocate with restaurants in urban areas and with hotels in rural areas, while proximity to gas stations emerges as a stronger predictor of EVCS accessibility; EV-friendly warm regions in the South show a lack of EVCS. Racial and ethnic disparities are evident, disproportionately affecting Black communities in the Deep South, Hispanic populations in the Southwest, and White populations in the central Midwest. These findings underscore the need for equitable, region-specific planning and targeted policy interventions. Addressing geographic and social disparities in EV infrastructure is critical to ensuring a just energy transition and broad-based access to clean mobility.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104507"},"PeriodicalIF":6.3,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657987","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":"Modeling urban activity-travel demand with activity pattern heterogeneity: An integrated LDA and interpretable ML framework","authors":"Dawei Li ,&nbsp;Tong Zhang ,&nbsp;Dongding Li","doi":"10.1016/j.jtrangeo.2025.104498","DOIUrl":"10.1016/j.jtrangeo.2025.104498","url":null,"abstract":"<div><div>The Activity-Based travel demand Model (ABM) operates at the individual level, integrating spatiotemporal constraints, personal attributes, and activity preferences to predict comprehensive daily activity-travel schedules. This approach facilitates the evaluation of both immediate effects of urban transportation/land-use policies on residents' mobility patterns and long-term projections of urban demand structures. However, in the context of expanding multi-source activity-travel data and growing demands for sophisticated urban planning tools, ABM methodologies face four key technical challenges: (1) insufficient incorporation of population heterogeneity in activity demand modeling, (2) inadequate resolution of high complexity of activity information and internal correlations within activity sequences, (3) disconnects between activity pattern recognition and ABM systems in data compatibility and variable interoperability, and (4) a trade-off between the interpretability of traditional econometric models and the predictive accuracy of data-driven machine learning. To address these challenges, this study develops an integrated analytical framework using large-scale household survey data (71,170 residents) from Chongqing, China. Our methodology first applies Latent Dirichlet Allocation (LDA) modeling to reframe activity pattern identification as a document classification task, generating probabilistic distributions of activity topics. Subsequent clustering analysis extracts heterogeneous urban mobility patterns, while Classification And Regression Tree (CART) modeling reveals correlations between these patterns and socioeconomic attributes to guide ABM feature selection. For demand prediction, we implement a hybrid Particle Swarm Optimization-Random Forest (PSO-RF) algorithm that simultaneously predicts activity sequences (accounting for temporal dependencies), activity durations (incorporating non-home initial activity uniqueness), and chained travel mode choices. The framework explicitly addresses data imbalance, intra-sequence correlations, and trip-chain decision dynamics through tailored computational strategies. The methodology has been rigorously validated using precision metrics and SHapley Additive exPlanations (SHAP) analysis, yielding both quantitative performance assessments and interpretable policy insights into Chongqing's activity-travel patterns. This integrated approach can provide data-driven solutions for activity-based demand modeling and analysis in high-density cities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104498"},"PeriodicalIF":6.3,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657985","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":"Quantifying willingness-to-walk across varying urban visual contexts using a global-local path choice model","authors":"Jianbiao Wang,&nbsp;Yuki Oyama","doi":"10.1016/j.jtrangeo.2025.104502","DOIUrl":"10.1016/j.jtrangeo.2025.104502","url":null,"abstract":"<div><div>Understanding pedestrians' preferences for network and street attributes is essential for improving walkability, but conclusions from previous studies vary. Thus, to comprehensively investigate pedestrians' preferences, this study conducts a comparative analysis of walking route choices across six areas around stations in the Tokyo metropolitan region. The six selected areas represent a range of typical urban contexts. The focus is on two types of attributes: global attributes, which pedestrians can consistently perceive (e.g., route length) in the whole network, and local attributes, which they can only perceive at local surroundings through visual observation (e.g., streetscapes). A global-local path choice model, a state-of-the-art path choice model proposed by Oyama (2024a), is used to incorporate both types of attributes. The estimation shows consistent preferences for global attributes across all areas, with pedestrians generally preferring wide sidewalks and avoiding crosswalks and long paths. However, the responses to local streetscape attributes are consistent in some areas, while varying in others, highlighting the context-specific nature of pedestrian preferences. To ensure fair and consistent comparisons across different areas, willingness-to-walk (WTW) is calculated as an indicator of the additional distance pedestrians are willing to walk in response to a unit improvement in a specific attribute. Given that pedestrians perceive environmental attributes differently, WTW is derived and analyzed separately for global and local attributes. For global attributes, widening sidewalks is identified as the most effective strategy in the Omiya area. Regarding local streetscape characteristics, enhancing the open sky view emerges as the most effective intervention across all areas. Moreover, increasing green vegetation is particularly recommended in residential areas, while it may not be necessary in other types of urban settings. These findings offer valuable insights to inform policy decisions on context-sensitive pedestrian infrastructure and streetscape design strategies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104502"},"PeriodicalIF":6.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651154","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":"Optimization of China's foreign trade container liner shipping network considering the risks and uncertainty of transit time of shipping corridors","authors":"Xu Yi ,&nbsp;Kang Chen ,&nbsp;Zhongzhen Yang","doi":"10.1016/j.jtrangeo.2025.104495","DOIUrl":"10.1016/j.jtrangeo.2025.104495","url":null,"abstract":"<div><div>In the context of the China-Railway Express (CRE) diversifying intercontinental transportation modes and the Northern Sea Route (NSR) expanding intercontinental shipping corridors, frequent regional political crises and military conflicts have increased the risks and costs associated with intercontinental transportation, threatening the stability of the international supply chain. This paper first quantifies the risk costs of international shipping corridors based on data related to global political conflicts, military conflicts, and piracy incidents, identifying the probability distributions of the risk costs of the corridors. Secondly, the historical navigation data of ships in the NSR are utilized to fit the probability distribution of transit times for the NSR. Then, for addressing the freight demand for trade container transportation in China, a liner shipping network optimization model is established with considering the corridor risks and uncertainties in NSR transit time. The model optimizes the liner shipping network for coordinal transporting China's domestic and foreign trade containers and determines the containers' travel routes. Finally, the heuristic algorithm based on Sample Average Approximation (SAA) is proposed to solve the stochastic planning model, and a numerical analysis on the case of China-Europe trade transportation verifies the validity and feasibility of the model and clarify the sensitivity of parameter settings.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104495"},"PeriodicalIF":6.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651155","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":"Utilizing long-term crowdsourced sparse trajectory data to extract temporal regularity in behavioral patterns","authors":"Hyungsub Jee ,&nbsp;Jan-Dirk Schmöcker ,&nbsp;Theeranai Pullarp ,&nbsp;Kari Edison Watkins ,&nbsp;Sean Barbeau","doi":"10.1016/j.jtrangeo.2025.104494","DOIUrl":"10.1016/j.jtrangeo.2025.104494","url":null,"abstract":"<div><div>In response to the increasingly diverse and evolving travel patterns, capturing comprehensive and long-term data on travel behavior has become critical for designing effective transport policies. We conducted experiments using the real-time transit information application OneBusAway in which we asked Android OneBusAway users if they are willing to provide location data. To save battery, rather than continuously tracking the trajectory, relatively sparse data is recorded only when the Google's Android Activity Transition Application Programming Interface detects a transition of the mobile device's activities, including “still,” “in-vehicle,” “walking,” “running” and “on-bicycle.” As the data are only collected in the background, many users provided data long-term, allowing us to collect four years of data from more than 7000 users. We analyzed the movements of users who provided meaningful data over most of this period. By applying Fast Fourier Transforms to the activity data over the observation period, we are able to analyze the sparse dataset even with incomplete records. Based on extracting likely public transport trips from the data we identify those with temporal regular public transport usage and classify them as “regular” riders. We find that temporal regularity is associated with spatial regularity and that in particular regular public transport users have less diverse spatial travel patterns. Such differences between regular public transport and regular car users can be used to develop an index for the public transport network quality. We also find that regular public transport users spend more time on walking activities, which can lead to improved health outcomes.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104494"},"PeriodicalIF":6.3,"publicationDate":"2025-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145619439","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":"Uncovering urban tourist mobility patterns based on large-scale mobile phone data","authors":"Rihong Ke ,&nbsp;Kuang Wang ,&nbsp;Qi Liu ,&nbsp;Ling Liu ,&nbsp;Pu Wang","doi":"10.1016/j.jtrangeo.2025.104496","DOIUrl":"10.1016/j.jtrangeo.2025.104496","url":null,"abstract":"<div><div>Amid the rapid global recovery of tourism and the increasing popularity of urban travel, cities are experiencing mounting spatial and functional pressures driven by tourists' unique mobility patterns. Although urban managers and researchers have focused on tourists' impact on urban space and transportation, systematic empirical studies at the individual level remain scarce, particularly in the detailed characterization of spatiotemporal behavior patterns. This study, based on high-frequency mobile phone data, develops an integrated analytical framework that combines tourist identification, activity inference, and multidimensional mobility indicators to systematically uncover the behavioral patterns and underlying mechanisms of tourist mobility in urban space. The results show that tourists, compared to residents, exhibit stronger spatial exploration tendencies and greater behavioral diversity, reflecting distinct non-routine mobility characteristics. Tourist activities are organized around accommodation locations, forming anchor-based activity chains. Tourist visitation is highly concentrated in certain attractions, resulting in spatially uneven “tourism corridors”. In addition, the integration of POI features and machine learning methods enables the inference of tourist activities, further enhancing the understanding of individual-level behavioral heterogeneity. This study not only extends urban mobility theories to tourism contexts but also provides data-driven insights for spatial governance, transportation planning, and service optimization in tourism-oriented cities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104496"},"PeriodicalIF":6.3,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145611674","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}