{"title":"Multi-period electric vehicle charging infrastructure planning considering path deviation and service capacity","authors":"Zhou Gao , Jiaxin Liu , Peng Yang , Rui Chen","doi":"10.1016/j.jtrangeo.2026.104583","DOIUrl":"10.1016/j.jtrangeo.2026.104583","url":null,"abstract":"<div><div>The strategic planning of electric vehicle (EV) charging infrastructure is essential for supporting the growing adoption of EVs. This study develops a Multi-Period Capacity and Deviation Flexible Reformulation of the Flow Refueling Location Model (M-CDFRFRLM) to optimize charging station placement while accounting for both path deviation and service capacity within a multi-period framework. The model dynamically adapts to fluctuations in charging demand over time, ensuring improved accessibility and reduced waiting times. To assess its effectiveness, we employ both exact and heuristic algorithms for solution validation. Sensitivity analysis using the exact algorithm examines the impact of key parameters on model performance, while heuristic algorithms are applied to real-world data from Jiading District, Shanghai, to evaluate practical applicability. Experimental results demonstrate that integrating path deviation and service capacity into a multi-period planning approach enhances charging service availability and operational efficiency. The proposed model also exhibits strong scalability, making it well-suited for large-scale EV infrastructure deployment.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104583"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153099","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":"Trapped by proximity, exiled by distance: Theorising transport access inequality in Tunisia through spatial friction and structural voids","authors":"Aymen Ghédira","doi":"10.1016/j.jtrangeo.2026.104582","DOIUrl":"10.1016/j.jtrangeo.2026.104582","url":null,"abstract":"<div><div>Spatial justice in transport access remains a critical challenge for territorial planning, particularly in nations where developmental imbalances foster complex inequalities. This paper introduces an innovative conceptual framework for diagnosing spatial injustice, moving beyond the traditional core-periphery dichotomy. We propose a dialectic of two complementary phenomena: spatial friction, which defines territories where hyper-concentration and constrained mobility generate systemic dysfunction, and structural voids, which characterizes spaces afflicted by a fundamental lack of infrastructure and economic opportunity. Applying this framework to Tunisia, we develop a multidimensional Access Inequality Index (<span><math><mtext>IIAccess</mtext></math></span>) combining four indicators (travel time ratio, motorisation rate, road network density, and average daily traffic) which are objectively weighted using Principal Component Analysis (PCA). The findings reveal a complex geography of injustice, highlighted by the paradoxical result of Sfax, a major economic hub, exhibiting the highest level of inequality (0.853), followed by the metropolitan governorates of Ariana (0.824) and La Manouba (0.737). This analysis culminates in a typology of four distinct territorial profiles, metropolitan saturation territories, structural deficiency spaces, regional hubs under pressure, and precarious rural zones, each demanding differentiated and spatially attuned policy responses. This framework offers a robust, transferable methodology for understanding and addressing the multifaceted nature of transport inequality in the Global South and beyond.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104582"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153103","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}
Shengao Yi , Xiaojiang Li , Lehan Wang , Wei Tu , Qinyu Cui , Yatao Zhang , Xiana Chen , Tianhong Zhao
{"title":"Assessing nighttime homeless shelter accessibility and its socioeconomic associations in Los Angeles","authors":"Shengao Yi , Xiaojiang Li , Lehan Wang , Wei Tu , Qinyu Cui , Yatao Zhang , Xiana Chen , Tianhong Zhao","doi":"10.1016/j.jtrangeo.2026.104553","DOIUrl":"10.1016/j.jtrangeo.2026.104553","url":null,"abstract":"<div><div>Equitable access to homeless shelters is a critical urban and transportation challenge, particularly for vulnerable populations who often rely on non-motorized travel. This study introduces a Gaussian Two-Step Floating Catchment Area (G2SFCA) method to evaluate nighttime shelter accessibility across the City of Los Angeles. We then utilize Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) to investigate the spatially varying relationships between accessibility and neighborhood-level socioeconomic factors. Results reveal distinct spatial inequality, with “service deserts” concentrated in the city’s affluent western and northern areas, while shelter services are clustered in historically disadvantaged southern communities. The GWR results confirm that the influence of key predictors, such as housing costs, public assistance enrollment, and demographic composition, is not uniform, but spatially heterogeneous, with some relationships even inverting across the city. These findings suggest that shelter access is shaped by a complex set of local socioeconomic conditions, highlighting the limits of global models. These findings offer empirical support for developing place-based, spatially sensitive policies to address service gaps for vulnerable urban populations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104553"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925973","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}
Zhuo Liu , Yining Pang , Long Chen , Xue Zhang , Jixiang Liu
{"title":"The nonlinear effect of the built environment on older adults' BMI and its spatial differentiation in a metropolis: Evidence from Beijing","authors":"Zhuo Liu , Yining Pang , Long Chen , Xue Zhang , Jixiang Liu","doi":"10.1016/j.jtrangeo.2026.104578","DOIUrl":"10.1016/j.jtrangeo.2026.104578","url":null,"abstract":"<div><div>This study investigates the nonlinear impacts of both macro- and micro-scale built environment factors on the Body Mass Index (BMI) of older adults, with a particular focus on spatial heterogeneity across urban functional zones in Beijing. Drawing on health records from over 2.3 million elderly residents and integrating multi-source spatial data—including POI, road networks, and street view images—the research constructs a comprehensive set of 24 variables encompassing land-use, transportation, and socio-demographic characteristics. Using an XGBoost machine learning model, the analysis reveals the relative importance and threshold effects of built environment features on elderly BMI. Findings indicate that transportation-related factors exert a greater influence than land-use factors, and micro built environment variables such as green view index and physical disorder exhibit complex, non-linear relationships with BMI. Notably, the impact of these factors varies significantly across Beijing's four urban functional zones, with transportation factors becoming more dominant in peripheral areas. These insights offer new empirical evidence to support age-friendly urban design and inform differentiated spatial planning strategies aimed at promoting healthy aging.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104578"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135017","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-min city in transition: Spatial and structural evolution of proximity to essential services in Sweden over 25 years","authors":"Erik Elldér","doi":"10.1016/j.jtrangeo.2026.104563","DOIUrl":"10.1016/j.jtrangeo.2026.104563","url":null,"abstract":"<div><div>This study investigates how neighborhood-scale proximity to key urban social functions (USFs)—has changed across Sweden between 1992 and 2017, and to what extent these shifts can be attributed to relocations of population and/or USFs. Drawing on longitudinal, geocoded register data covering the entire Swedish population and all workplaces, the study takes an exploratory, descriptive approach to map proximity dynamics over time. The analysis focuses on nine everyday USFs: pharmacies, district healthcare centers, dentists, preschools, primary schools, grocery stores, convenience stores (e.g., corner shops, bakeries), restaurants, and clothing/shoe stores. By disaggregating trends across these different functions, the study highlights the interplay between USF structural changes (e.g., regulatory regimes, market development), and population distribution in shaping proximity outcomes.</div><div>Findings show that proximity is not static but evolves over time—though in geographically uneven and function-specific ways. While the share of residents living in neighborhoods that contain some services, such as pharmacies and restaurants, has generally improved, neighborhood-level presence of others—particularly grocery stores, convenience stores, and clothing/shoe retailers—has declined. For functions like preschools, primary schools, and dentists, proximity has improved in larger cities but worsened in smaller urban areas, revealing growing regional disparities. These patterns are discussed in the context of ongoing centralization of market-driven services and mixed trends among more policy-regulated functions.</div><div>Overall, the study underscores the need to complement proximity-based planning frameworks with a deeper understanding of structural transformations and governance arrangements. Such integration is crucial to achieving equitable and sustainable goals within the evolving 15-min city paradigm.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104563"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077906","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}
Xiaoxia Wang , Xiang Wang , Zhenlong Fan , Hong Zou , Zhicheng Pan , Peng Liu
{"title":"The impact of urban built environment on multi-mode public transportation behavior under abnormal weather conditions","authors":"Xiaoxia Wang , Xiang Wang , Zhenlong Fan , Hong Zou , Zhicheng Pan , Peng Liu","doi":"10.1016/j.jtrangeo.2026.104566","DOIUrl":"10.1016/j.jtrangeo.2026.104566","url":null,"abstract":"<div><div>The integration of bike-sharing and metro systems is a key form of multimodal public transport (MPT), vital for alleviating urban traffic congestion. However, as bike-sharing operates in the external environment, it is susceptible to the impacts of the urban built environment and abnormal weather conditions. This study aims to identify the built environment characteristics that influence the resilience of this transfer system during abnormal weather. We established a spatial weight matrix and calculated the Global and Local Moran's I for the “bike-metro variation rate” (BMVR) to explore the spatial correlation of MPT trips among different traffic analysis zones (TAZs). Subsequently, a spatial Durbin model (SDM) was developed to analyze the impact of the urban built environment on MPT transfers under abnormal weather and to determine the spatial spillover effects between the built environments of TAZs. The research findings indicate that: (1) The impact of the urban built environment on BMVR exhibits a positive spatial correlation under abnormal weather. (2) Several built environment variables significantly influence transportation resilience. Specifically, a higher share of the commuting population and a greater density of public service facilities enhance system resilience by mitigating the decline in transfer volumes, whereas higher intersection density exacerbates the impact and reduces resilience. (3) Built environment variables also generate significant spatial spillover effects, revealing that transportation resilience is an area-wide phenomenon influenced by neighboring environments. The results of this study offer targeted guidance for urban planners aiming to build a more robust MPT system capable of withstanding weather-related shocks through the optimization of local built environments.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104566"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110668","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":"Analyzing the effects of the transportation environment and green spaces on residents' satisfaction","authors":"Hanyan Li, Jing Ma, Sui Tao","doi":"10.1016/j.jtrangeo.2025.104536","DOIUrl":"10.1016/j.jtrangeo.2025.104536","url":null,"abstract":"<div><div>The transportation environment and green spaces play important roles in well-being. Nonetheless, research on the combined effects of the transportation environment and green spaces on both short-term and long-term satisfaction is scarce. Using survey data from Beijing, this research aims to reveal the mutual relationships among commute satisfaction, daily travel satisfaction and life satisfaction. Furthermore, it examines the role of objective/perceived transportation environment and green spaces in commuting characteristics and satisfaction at different time scales, controlling for urban form factors and socioeconomic attributes. The results reveal that commute, daily travel, and life satisfaction are interrelated and mutually reinforcing. Perceived transport accessibility is related to satisfaction at multiple time scales, whereas travel costs, road connectivity and safety are directly associated with daily travel satisfaction only. Subway density has direct and indirect effects on commute satisfaction and daily travel satisfaction, mediated by perceived transport accessibility and travel costs. Moreover, green space density is indirectly related to satisfaction through its effect on people's perceptions. This study provides policy implications for optimizing the geographical environment to improve residents' well-being.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104536"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145823787","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":"Probabilistic space-time prisms in road networks with travel time uncertainties","authors":"Hui-Ping Chen , Zhi-Chun Li , Bi Yu Chen","doi":"10.1016/j.jtrangeo.2025.104544","DOIUrl":"10.1016/j.jtrangeo.2025.104544","url":null,"abstract":"<div><div>The space-time prism (STP) is a core concept in time geography for scheduling flexible activities given various space-time constraints. However, the classical STP model overlooks travel time uncertainties pervasive in real-world road networks. In this study, we propose a novel model, probabilistic STP, for scheduling flexible activities under travel time uncertainties. This model explicitly quantifies heterogeneous probabilities (or reliabilities) of completing flexible activities at space-time locations within the STP. Solution algorithms are developed to effectively construct probabilistic STPs in real-world road networks. The proposed model is further applied to evaluate accessibility under travel time uncertainties. Two accessibility measures are introduced by explicitly setting distinctive weightings to facilities based on their activity completion probabilities. A comprehensive case study is carried out by using real-world travel time distributions. Results of the case study show the effectiveness of the probabilistic STP model in the evaluations of accessibility to supermarkets.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104544"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902905","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":"Platform-induced time-space trade-offs in ride-hailing: Multi-homing as a response to operational constraints","authors":"Chutian Zhuang , Tianqi Gu , Inhi Kim , Hyungchul Chung , Kaihan Zhang","doi":"10.1016/j.jtrangeo.2025.104533","DOIUrl":"10.1016/j.jtrangeo.2025.104533","url":null,"abstract":"<div><div>This study examines how ride-hailing drivers adjust their time-use and spatial behavior under platform-induced constraints, with a focus on multi-homing—the practice of operating across multiple ride-hailing platforms. Drawing on a city-scale, driver-identified dataset from Suzhou, China, we propose a data-driven framework to identify multi-homing behavior and quantify its impacts using four operational metrics: working hours, travel distance, revenue, and order interval. A common assumption is that full-time multi-homing drivers earn more and work longer than single-platform drivers. However, our results show that this assumption does not hold in the Suzhou market. Instead, multi-homing appears to serve as a behavioral adaptation to regulatory and algorithmic restrictions—allowing drivers to bypass platform-imposed work-hour caps and optimize engagement with temporal demand fluctuations. Using clustering to separate full-time and part-time drivers, and applying Geographically Weighted Random Forest (GWRF) modeling, we further find that multi-platform activity is not spatially concentrated in low-demand or remote areas. These findings reveal that multi-homing is less about spatial expansion and more about temporal strategy and coping with institutional uncertainty. The study contributes to understanding time-space adaptation in digitally mediated mobility, especially amid evolving platform governance. It also underscores the need for time-use models and transport policy to account for the real-time flexibility and constraint navigation strategies employed by gig workers in fragmented digital environments.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104533"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145813889","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 human mortality impacts from air pollution as U.S. commuting reaches its extremes","authors":"Yue Jing , Yujie Hu , Chen Chen , Daniel S. Cohan","doi":"10.1016/j.jtrangeo.2025.104541","DOIUrl":"10.1016/j.jtrangeo.2025.104541","url":null,"abstract":"<div><div>Commuting significantly influences environmental quality and public health, thereby shaping urban sustainability. However, the effects of air pollution from vehicle emissions and associated mortality at both lower and upper commuting extremes remain unexplored. This study utilizes nationwide commuting flow and geodemographic segmentation datasets to implement a disaggregated excess commuting framework across 918 U.S. metropolitan regions (MSAs). Three reduced-complexity air quality health effect models are then employed to assess changes in vehicle emissions and related mortality for these extreme scenarios. Results show that achieving the minimum commuting scenario could prevent approximately 1273 premature deaths nationwide, whereas the maximum commuting scenario could result in 3480 additional deaths linked to elevated air pollution. These impacts vary considerably across urban forms and regions, with densely populated, polycentric MSAs accounting for over 70 % of total mortality changes. In some MSAs, health outcomes diverge from emission changes due to geographic factors that influence pollutant dispersion. Overall, the findings highlight the need for targeted policies that promote more sustainable and health-conscious mobility systems.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"131 ","pages":"Article 104541"},"PeriodicalIF":6.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145823493","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}