Journal of Transport Geography最新文献

{"title":"A network-based approach to understand the risk of mobility-related social exclusion in spatiotemporal activities","authors":"Zihan Kan ,&nbsp;Jiaomin Wei ,&nbsp;Tim Schwanen ,&nbsp;Mei-Po Kwan ,&nbsp;Dong Liu ,&nbsp;Jianwei Huang","doi":"10.1016/j.jtrangeo.2026.104712","DOIUrl":"10.1016/j.jtrangeo.2026.104712","url":null,"abstract":"<div><div>This study proposes a novel network-based approach to understand the risk of mobility-related social exclusion (MRSE) in people's daily activities. Compared to existing approaches focusing on physical mobility and individual travel network, this study develops an integrated analysis method that considers both population-level mobility network and spatiotemporal dynamics of individual activity patterns. This method considers strong connections, frequent interactions, and key structural roles within a population-level mobility network to be able to better facilitate spatial and social interactions. Further, individuals who are regularly exposed to these locations during their daily activities are considered to be more likely to engage in various activities, access services, and participate in social interactions. With a 7-day bus travel dataset of older adults in Beijing China, this study investigates the risk of MRSE of older adults as a case study, using both the proposed network-based and traditional activity space-based measures. The results obtained using the proposed network-based approach offers insights into the potential spatiotemporal behavior and dynamics for interactions. This study also highlights the importance of evaluating not only physical mobility but also the connectivity, interactions and between different locations and key structural roles within a travel network when investigating the risk of MRSE during daily activities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104712"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184589","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 impact of liveability on active (leisure) travel","authors":"Aslan Zorlu ,&nbsp;Mirjam Schindler","doi":"10.1016/j.jtrangeo.2026.104716","DOIUrl":"10.1016/j.jtrangeo.2026.104716","url":null,"abstract":"<div><div>Active mobility offers important health and environmental benefits, making the promotion of walking and cycling a key objective for urban and transport planners. While studies suggest a positive association between more liveable areas and higher active travel rates, establishing a causal relationship remains challenging due to potential endogeneity. This study addresses this issue by quantifying the impact of liveability on active leisure travel, using data from the Dutch National Travel Survey and a comprehensive measure of neighbourhood liveability. Recognising that active mobility is a viable substitute for motorised travel for shorter distances and less time-sensitive journeys, this study examines leisure-time travel mode choices for distances up to 20 km. We estimate a multilevel mixed effect probit model with endogenous liveability, accounting for the spatial interdependence of neighbourhood liveability. Our results – accounting for endogeneity and spatial autocorrelation - show that higher neighbourhood liveability significantly increases the likelihood of choosing active travel modes (by 10 percentage points between the least and most liveable neighbourhoods). We show that even modest improvements in neighbourhood liveability could meaningfully shift travel behaviour. These results emphasise the importance of creating more liveable environments to stimulate active (leisure) travel and indirectly promote healthy and sustainable lifestyles.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104716"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184590","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":"Estimating annual average daily traffic on local roads: Integrating spatial insights with machine learning","authors":"Liang Ma ,&nbsp;Rami Al-Shukairi ,&nbsp;Marc E.J. Stettler ,&nbsp;Daniel J. Graham","doi":"10.1016/j.jtrangeo.2026.104715","DOIUrl":"10.1016/j.jtrangeo.2026.104715","url":null,"abstract":"<div><div>Obtaining street-level annual average daily traffic (AADT) is crucial for environmental assessments, infrastructure planning, and sustainable transport policy. However, comprehensive traffic data collection remains resource intensive and spatially sparse. This study presents a scalable machine learning (ML) framework to predict AADT of road links across large networks. The framework integrates over 900 contextual features (e.g. demographics) with over 100 engineered spatial statistical features (e.g. eigenvector spatial filtering) to capture spatial dependencies and heterogeneity. Model performance is evaluated at over 19,000 count point locations in England and Wales with two spatially informed cross-validation (CV) strategies, i.e. sampling-intensity-weighted and spatial block CV, and achieves test R² of 0.80 and 0.72, respectively. Residual diagnostics further confirm the model's effectiveness in capturing spatial dependencies. This framework is then applied to estimate street-level AADT and vehicle kilometres travelled (VKT) by vehicle and fuel type across all road links in Greater London in 2021. Aggregated VKT estimates at the local authority level broadly align with official statistics, with median absolute relative differences of 8–10%. Agreement is stronger in data-rich central areas, while larger discrepancies occur in west and south outer London, reflecting limited observational coverage where spatial extrapolation is needed. To inform future traffic monitoring, we further classify local authorities by model disagreement and data density. By integrating spatial statistical theory with computationally efficient ML, the framework offers a bottom-up approach for large-scale spatial prediction in urban analytics, environmental modelling, and regional science. The disaggregated outputs also support high-resolution emissions modelling and inform sustainable transport planning.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104715"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184582","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":"How public transport costs influence the residential location choice of German commuters","authors":"Johannes Nießen,&nbsp;Tobias Kuhnimhof","doi":"10.1016/j.jtrangeo.2026.104710","DOIUrl":"10.1016/j.jtrangeo.2026.104710","url":null,"abstract":"<div><div>The negative utility of commuting arises from the time spent and the costs incurred. While numerous studies have examined the effect of commuting time on residential location choice, only a few studies published in recent decades have included commuting costs in their analyses, especially public transport costs. We used the official commuter statistics listing the number of commuters by residential and workplace municipality, i.e. a revealed preference origin-destination commuter matrix, for the Frankfurt region in Germany. We estimated multinomial logit models examining residential location choice as the explained variable and using public transport commuting costs as an explanatory variable. The results indicate that public transport commuting costs have an impact on residential location choice, but should not replace public transport commuting time as an explanatory variable. We calculated the value of travel time for commuting by public transport as a function of the number of working days per month. It ranges from 4.3 €/hour for ten working days per month to 8.6 €/hour for twenty working days per month. These results fall in line with existing research, despite the fact that our data and methods diverge from the approaches used in previous studies. Our results show that public transport commuting costs should be taken into account when analysing residential location choices, especially in the light of new pricing policies such as fare-free public transport or nationwide transit passes.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104710"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184587","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":"A big data causal approach to social inequalities in urban jogging: Decoding pathways linking neighborhood socioeconomic status and built environment","authors":"Shiliang Su,&nbsp;Guangxiang Zhou","doi":"10.1016/j.jtrangeo.2026.104714","DOIUrl":"10.1016/j.jtrangeo.2026.104714","url":null,"abstract":"<div><div>Urban jogging is widely recognized as a key component of healthy and active cities, yet its participation is often unequally distributed across different communities. Understanding the social inequities in jogging activity is critical for designing inclusive, health-promoting urban environments. This study investigates how neighborhood socioeconomic status (SES) and built environment jointly shape jogging activity, using a causal perspective. Proposing a novel big data causal approach that integrates trajectory clustering, causal machine learning, and econometric techniques, we explore 835,111 jogging trajectories from the Keep App alongside geospatial data from Hangzhou, China. Our results reveal that SES plays both direct and indirect roles in shaping jogging patterns, with residential self-selection amplifying disparities. For the built environment, design and diversity show threshold effects on both weekdays and weekends, while topology and subjective perception have a stronger causal influence on weekends. Additionally, our study suggests that the high-density intersections and overall density often promoted in walking studies may not support jogging behavior. These findings reveal the complex drivers of inequalities in urban jogging and offer actionable insights for urban planners seeking to promote equitable access to physical activity. By integrating Bayesian network-based causal inference with propensity score matching and endogeneity evaluations, this study delivers robust causal estimates and offers novel insights into the spatial mechanisms of human mobility beyond mere associations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104714"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184588","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 role of accessibility in mitigating the risk of transport-related social exclusion: Evidence from Fortaleza, Brazil","authors":"Mateus Felipe Marques de Oliveira ,&nbsp;Carlos Felipe Grangeiro Loureiro ,&nbsp;Diego Bogado Tomasiello","doi":"10.1016/j.jtrangeo.2026.104721","DOIUrl":"10.1016/j.jtrangeo.2026.104721","url":null,"abstract":"<div><div>Many Latin American cities are characterized by a scenario of socio-spatial segregation of disadvantaged groups. This segregation prevents them from participating in the social life of their communities due to, notably, reduced or even nonexistent accessibility to opportunities, creating a risk of Transport-Related Social Exclusion (TRSE). Literature is not unanimous regarding the effect of accessibility on the level of individual participation in activities, which may be due to gaps in the formulation of proposed models, limiting their ability to identify causal relationships. Thus, this paper aims to develop a methodological framework to investigate the causal relationship between accessibility and participation in non-mandatory activities from the perspective of TRSE, and to provide empirical evidence of its applicability in the urban context of Fortaleza, Brazil. The main findings of this study highlight the importance of accounting for the effects of time budget constraints on the risk of TRSE among low-income individuals. It emphasized the need to incorporate the moderating role of gender into statistical modeling and to represent conceptually complex constructs through latent variables within the modeling framework. The results contribute to a better understanding of TRSE and provide insights to support the formulation of public policies to mitigate its effects.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104721"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184583","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 double-edged sword of the 15-minute city: Mediation and moderation effects of built environment on social segregation","authors":"Yun Han ,&nbsp;Si Qiao ,&nbsp;Anthony Gar On Yeh ,&nbsp;Xiaohu Zhang","doi":"10.1016/j.jtrangeo.2026.104717","DOIUrl":"10.1016/j.jtrangeo.2026.104717","url":null,"abstract":"<div><div>The 15-min city is widely promoted as a model for sustainable and livable urban development, but its implications for social segregation remain unclear. Using anonymized mobile phone trajectory data of 8.6 million residents in Shenzhen, China, this study examines whether localized daily activity patterns foster social integration or reinforce socioeconomic homogeneity in everyday encounters. We measure localized living as the share of non-work activities conducted within a 15-min walking radius of home, and characterize the neighborhood built environment by density, diversity, and connectivity within the same catchment. Activity-based social segregation here measures the degree to which individuals are exposed to others with similar socioeconomic status during daily activities. The results reveal that a higher 15-min activity share is associated with greater social homogeneity. Density reinforces this pattern indirectly by encouraging more localized activities, whereas amenity diversity plays a distinct moderating role. When neighborhood diversity exceeds a threshold (Shannon entropy &gt; 0.84), the association reverses, indicating that highly mixed-use environments can mitigate the “social bubble” effect of localized living. These findings show that proximity alone does not ensure social integration. The social consequences of the 15-min city depend critically on neighborhood opportunity structures, especially amenity diversity.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104717"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184455","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":"Walking, waiting, relying: The everyday mobilities of older people in an Indonesian City","authors":"Dadang Meru Utomo,&nbsp;Imma Widyawati Agustin,&nbsp;Christia Meidiana,&nbsp;Budi Sugiarto Waloejo,&nbsp;Ismu Rini Dwi Ari,&nbsp;Septiana Hariyani,&nbsp;Ghina Fadhilah","doi":"10.1016/j.jtrangeo.2026.104719","DOIUrl":"10.1016/j.jtrangeo.2026.104719","url":null,"abstract":"<div><div>Indonesia is ageing, yet the quality of later life depends as much on everyday mobility as on longevity. This study examines how older adults in Malang, East Java, navigate and make sense of daily movement in moral, social, and practical terms. Drawing on qualitative fieldwork with forty-five seniors across kampung neighbourhoods and formal housing estates, it employs an interpretive phenomenological approach combining semi-structured interviews, walking observations, and iterative manual analysis. Findings show that mobility justice is lived through three intertwined practices, i.e., walking, waiting, and relying, that reveal how recognition, distribution, and participation unfold in everyday life. Recognition arises through visibility and affirmation in short neighbourhood trips; distribution is experienced through uneven access to safe streets, crossings, vehicles, and ride-hailing services; and participation occurs less in formal planning than through family negotiations of care, safety, and autonomy. Across cases, moral adaptation and local ethics of gotong royong, nrimo, and ikhlas help people cope with infrastructural gaps, though they cannot substitute for material provision. The study reframes mobility justice as relational and embodied, arguing that slower mobilities should be valued as civic assets for cities where people can age well, not simply grow old.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104719"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184586","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":"Towards African geographies of electric vehicle battery and infrastructure risks","authors":"Festival Godwin Boateng,&nbsp;Tim Schwanen","doi":"10.1016/j.jtrangeo.2026.104720","DOIUrl":"10.1016/j.jtrangeo.2026.104720","url":null,"abstract":"<div><div>Governments, non-governmental organisations, development agencies, private firms, and an expanding network of actors are exploring ways to accelerate the adoption of electric vehicles (EVs) across Africa. As their initiatives grow, a body of research in transport geography and wider social sciences on EVs is emerging. However, reflecting policy priorities, most of this research concentrates on encouraging adoption. Less attention has been paid to EV battery and infrastructure risks during routine use—risks that may be intensified in African contexts by second-hand import pathways, local servicing and emergency capacities, socio-economic inequality, colonial land-use legacies, and weak regulatory and cybersecurity capabilities. This paper calls for increased focus on the specifically African geographies of EV battery and infrastructure operation risks throughout their operational lifespan and not only during the afterlife stage, with due consideration for the socially differentiated and spatially uneven nature of such risks across scales, places and networks. The paper concludes with phased research and policy recommendations for an EV transition rooted in preparedness, spatial justice, and institutional resilience, rather than reactive crisis management of the risks embedded in EV battery and infrastructure systems.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104720"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184453","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":"Multiscalar accessibility and the activity spaces of older women: The unequal influence of individual and socio-spatial determinants","authors":"Giovanni Vecchio ,&nbsp;Diego Sánchez-González ,&nbsp;Paula Castillo-Rojas","doi":"10.1016/j.jtrangeo.2026.104718","DOIUrl":"10.1016/j.jtrangeo.2026.104718","url":null,"abstract":"<div><div>Mobility and accessibility are central to autonomy and social participation in later life, yet limited research examines how individual capacity and multiscalar accessibility shape activity spaces in highly unequal metropolitan contexts. This study investigates how functional health, labour engagement, neighbourhood socioeconomic context and urban accessibility conditions influence the activity spaces of older women in Santiago de Chile. Based on a non-probabilistic survey of 70 women aged 60 and over, three complementary mobility dimensions are analysed: weekly participation frequency (number of places visited), daily mobility intensity (accelerometer-based steps), and spatial extension beyond the neighbourhood. Negative binomial models indicate that weekly participation is primarily structured by labour engagement and functional illness: economically active women exhibit significantly higher participation rates, while functional illness is associated with reduced out-of-home activity. OLS models with log-transformed daily steps show substantial reductions in daily steps among women aged 80 or over and those reporting dependency when leaving home, with behaviourally meaningful differences in predicted values. Logistic regression results reveal that spatial extension is significantly associated with neighbourhood socioeconomic status and functional illness, suggesting that travel beyond local boundaries may reflect structural necessity in disadvantaged contexts rather than enhanced autonomy. Metro access and neighbourhood walkability display bivariate associations but do not retain independent statistical significance in multivariate specifications once controls are introduced. Overall, findings provide differentiated and partial support for accessibility-based explanations of activity spaces, and suggest that improving transport infrastructure alone may be insufficient to enhance participation and well-being in later life, highlighting the multidimensional, context-dependent and equity-sensitive nature of urban ageing and mobility in rapidly ageing cities of the Global South.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"134 ","pages":"Article 104718"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184454","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}