{"title":"Transit-induced restructuring: On the mobility inequalities in Tokyo","authors":"Yudi Liu , Erli Zeng , Lichen Luo , Kojiro Sho","doi":"10.1016/j.jtrangeo.2025.104389","DOIUrl":"10.1016/j.jtrangeo.2025.104389","url":null,"abstract":"<div><div>Discussions about urban restructuring typically regard transportation infrastructure as a key stimulus, but they seldom consider how such stimulus occurs. Many suggest that transit infrastructure construction and surrounding land development, often labeled as transit-oriented development (TOD), change neighborhoods; others, however, doubt this. Thus far, the discussion has disproportionately focused on capitalizing transit accessibility by building new infrastructure while neglecting the indirect and incremental role of existing infrastructure in the long term. Taking 2010–2020 as the study period, this research explored urban restructuring in Tokyo, a city characterized by transit–development synthesis and short building lifespans. We identified rail transit (RT) stations as the anchors of urban redevelopment projects, which have capitalized on physical mobility to gradually restructure central Tokyo over time. Geographical and regression analyses indicated that RT use increased over time but served socioeconomically privileged groups better than others, suggesting the influence of existing transit infrastructure rather than new infrastructure or major upgrades. This pattern reflects a “post-TOD” challenge that exists worldwide, highlighting a quadrant categorization of TOD divided according to policy for public interest and profit in the market. These categories emphasize more inclusive progress guided by planning principles that go beyond corporate-led models.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104389"},"PeriodicalIF":6.3,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864566","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 attitudes and behavioural intentions towards e-scooter use in Türkiye: Differences between users and non-users","authors":"İbrahim Öztürk , Nazlı Akay","doi":"10.1016/j.jtrangeo.2025.104393","DOIUrl":"10.1016/j.jtrangeo.2025.104393","url":null,"abstract":"<div><div><em>E</em>-scooters, as a relatively recent emerging mode of transport, have gained considerable significance for research in recent years, including attitudes and behavioural intentions of the public towards these vehicles. To enhance our understanding, it is essential to examine the roles of previous e-scooter experience and gender on attitudes and behavioural intentions. In order to address this need, the present study aimed to investigate the attitudes and behavioural intentions towards e-scooters of 443 young adults between 18 and 25 years old in Türkiye. Prior experience with e-scooters was found to enhance perceived behavioural control and usefulness, as well as behavioural intention. Males exhibited higher perceived behavioural control and greater behavioural intention than females. Additionally, positive attitudes and greater perceived behavioural control were related to greater behavioural intention. Finally, this study highlights the significance of prior experience with e-scooters and gender as two factors influencing young road users' perception of e-scooter use in Türkiye. The findings provide important inputs for future policy and the development of intervention programmes for safe and inclusive implementation of e-scooters.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104393"},"PeriodicalIF":6.3,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864698","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 aspects of transport-induced gentrification across the project lifecycle: An NLP approach","authors":"Lara K. Mottee , Wei-Ting Hong , John D. Nelson","doi":"10.1016/j.jtrangeo.2025.104388","DOIUrl":"10.1016/j.jtrangeo.2025.104388","url":null,"abstract":"<div><div>Public transport projects reshape neighbourhoods, creating opportunities for urban revitalisation, place-based and transit-oriented development. However, project planning processes may create social disbenefits, enacting gentrification and community displacement. This paper explores the relationship between Light Rail Transit (LRT) and economic and socio-demographic aspects that provide early indications of gentrification processes, by analysing public engagement sources. We adopt a mixed-method case study approach using Natural Language Processing (NLP) and document review to analyse public engagement data during the design, construction and operation phases of the project. A case study of the CBD and South-East Light Rail Project in Sydney, Australia, is employed. Our results indicate that while early indications show gentrification processes may be occurring, they are not reflected in the project-led public engagement or project documentation. Identifying aspects of gentrification processes earlier through public engagement during the design and construction phases could facilitate timely intervention to mitigate adverse impacts on local communities. We conclude that metropolitan governments and project leaders must improve engagement practices about the potential effects of gentrification processes and work with local authorities and communities to be transparent about the significance of effects over time.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104388"},"PeriodicalIF":6.3,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841958","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}
Luyu Liu , Xiaojiang Li , Rafael H.M. Pereira , Xiang Yan
{"title":"Measuring exposure to extreme heat in public transit systems","authors":"Luyu Liu , Xiaojiang Li , Rafael H.M. Pereira , Xiang Yan","doi":"10.1016/j.jtrangeo.2025.104383","DOIUrl":"10.1016/j.jtrangeo.2025.104383","url":null,"abstract":"<div><div>Public transit users are among the most vulnerable to extreme heat due to the urban heat island effect and longer outdoor exposure. However, few studies have provided detailed measurement of transit riders' heat exposure and discussed the resilience of transit systems in responses to heat exposure. Using 1 m-by-1 m microclimate simulations and transport network analysis, this paper introduces the <em>Transit Heat Exposure Index</em> (THEI) to gauge high-fidelity heat exposure for transit riders. A case study of THEI's application in Miami, one of the hottest US cities, shows that downtown Miami has lower heat exposure due to better transit access, despite higher local feels-like temperature. Walking is the primary source of heat compared to waiting, and a few streets and stops contribute most exposure. The methodology developed in this study provides a valuable tool to enhance transit resilience to heat and develop effective mitigation strategies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104383"},"PeriodicalIF":6.3,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810410","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}
Zhu Yao , Mi Gan , Li Wang , Tao Peng , Hao Yu , Xiaobo Liu
{"title":"Impact of carbon inequality embodied in interprovincial trade on National Road Freight Supply Chain Resilience","authors":"Zhu Yao , Mi Gan , Li Wang , Tao Peng , Hao Yu , Xiaobo Liu","doi":"10.1016/j.jtrangeo.2025.104384","DOIUrl":"10.1016/j.jtrangeo.2025.104384","url":null,"abstract":"<div><div>The uneven distribution of carbon emissions along interprovincial trade links presents a significant yet underrecognized threat to national supply chain resilience. This study introduces an innovative trade flow-based framework to assess and enhance resilience, using carbon emission changes as a core indicator of resilience to capture the environmental impact of trade activities. Utilizing a multi-region input-output (MRIO) model, we quantify the interactions between road freight emissions and commodity trade flows. Resilience is then evaluated through network efficiency and the coupling coordination degree model. Percolation theory provides quantitative failure threshold for resilience planning, while a cascade failure model simulates the network's dynamic response to node disruptions. Findings reveal that disparities in emission intensity embedded in trade significantly affect regional resilience, with resilience more closely tied to traded products and freight structure than to economic development, and that failures at key bottlenecks can cause multilevel breakdowns in supply chain network. Furthermore, the allocation of carbon responsibilities and emissions-trade relationships emerge as pivotal drivers for enhancing supply chain resilience. The study underscores the necessity for differentiated policies that account for geographical and industrial heterogeneity, promoting strategies to mitigate freight emissions and foster sustainable development.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104384"},"PeriodicalIF":6.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772202","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}
Shuo Yang , Leyu Zhou , Zhehao Zhang , Haidong Li , Liang Guo , Xiaoli Sun , Tongyang Song
{"title":"Revisiting the causal relationship between the built environment, automobile ownership, and mode choice using double machine learning","authors":"Shuo Yang , Leyu Zhou , Zhehao Zhang , Haidong Li , Liang Guo , Xiaoli Sun , Tongyang Song","doi":"10.1016/j.jtrangeo.2025.104379","DOIUrl":"10.1016/j.jtrangeo.2025.104379","url":null,"abstract":"<div><div>This study addresses endogenous challenges in modeling the built environment, automobile ownership, and mode choice. While conventional methods like Hackman 2-stage models and structural equation modeling attempt to address these confounds, their reliance on fixed-parameter assumptions constrains accuracy and fails to capture nonlinear relationships. Using a double machine learning model, by controlling for endogeneity introduced by car ownership, we analyze the potential causal and nonlinear associations between the built environment, car ownership, and mode choice in Wuhan, China. Results demonstrate that built environment attributes directly explain 15–20 % of transit mode variations and 40–50 % of active travel decisions after addressing endogeneity, with significant heterogeneity between car-owning and car-less households. The effects of the built environment are more modest compared to those derived from single-layer modeling. Built environment variables exhibits nonlinear effects on car ownership, transit and active travel choice, with effect magnitudes and patterns varying across car-owning and car-less groups. This study highlights the potential of using machine learning to accurately capture the complex causal relationship between the built environment and travel behavior in observational data.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104379"},"PeriodicalIF":6.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772201","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}
Carlos Mateo Samudio Lezcano , Corey D. Harper , Destenie Nock
{"title":"Siting for demand and equity: Optimizing level 2 electric vehicle charger placement","authors":"Carlos Mateo Samudio Lezcano , Corey D. Harper , Destenie Nock","doi":"10.1016/j.jtrangeo.2025.104369","DOIUrl":"10.1016/j.jtrangeo.2025.104369","url":null,"abstract":"<div><div>Governments and automakers are accelerating the transition to electric vehicles (EVs). However, a key barrier to widescale electrification is the lack of access to the supporting electric vehicle supply equipment (EVSE). A bi-objective optimization model is developed and applied to Pittsburgh, PA and Seattle, WA as case studies, to illuminate how stakeholder preferences towards equity (i.e., improving EVSE access for disadvantaged communities) impacts the spatial distribution of EVSE. Performance metrics, including EVSE coverage, average number of nearby EVSE, and average number of households per EVSE, were evaluated across seven demographic groups: White, Asian, Black, Hispanic, low income, medium income, and high income households. In Pittsburgh, the results revealed that at lower budgets, changes to stakeholder equity preference had minimal impact on demographic access to EVSE. At higher budgets, prioritizing equity leads to higher access, coverage and less overcrowding for low income and minority households, at the expense of high income households. In Seattle, equity-focused strategies consistently improved outcomes across all demographics. High income households, being geographically dispersed, still benefited when equity was prioritized. In both regions, the most balanced outcomes were achieved when there was a neutral preference for equity. The findings suggest that while equity-focused strategies can improve access for underserved demographics (e.g., low-income and minorities), the optimal strategy varies based on budget and city-specific characteristics (e.g., existing EVSE placement, population density and spatial distribution of different demographics). The study underscores the importance of considering demographic equity in EVSE deployment to ensure widespread and fair access to EVSE.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104369"},"PeriodicalIF":6.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772200","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}
José B. Paiva Neto , Narciso F. Santos , Romulo D. Orrico Filho
{"title":"Paths to prosperity: How transport networks and income accessibility shape retail location","authors":"José B. Paiva Neto , Narciso F. Santos , Romulo D. Orrico Filho","doi":"10.1016/j.jtrangeo.2025.104377","DOIUrl":"10.1016/j.jtrangeo.2025.104377","url":null,"abstract":"<div><div>Retail location patterns in large cities are shaped by multiple factors, with transport accessibility playing a crucial role in commercial concentration. Traditional approaches often rely on proximity to transport infrastructure or network centrality, overlooking actual travel times. This study refines these methods by incorporating real travel-time data for both private and public transport to assess their influence on retail clustering in Rio de Janeiro. Using estimated travel times from Google API for private travel and GTFS data for transit networks, we analyze how retail density responds to network betweenness and gravity-based accessibility to income, given that income is likely a stronger predictor of retail activity than population density, as we show. Results from the XGBoost machine learning algorithm indicate that accessibility to income via public transport exhibits a stronger correlation with retail density than private transport, highlighting transit networks as a decisive factor in shaping commercial activity. Additionally, transit network centrality emerges as a key predictor of retail concentration, reinforcing the economic advantages of well-connected public transport services. These findings emphasize the importance of integrating transport accessibility metrics into urban planning, as they offer practical tools for guiding policy interventions. Enhancing transit coverage, frequency, and integration could support retail activity in underserved areas, reducing spatial inequalities and fostering balanced urban development. Future research should explore the role of informal retail and alternative modeling techniques to refine the understanding of transport-driven commercial patterns, particularly in cities where economic disparities and accessibility constraints pose significant challenges.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104377"},"PeriodicalIF":6.3,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772140","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":"MIKTA maritime research gaps: Data-driven machine learning approach for sustainable collaboration","authors":"Yong-Jae Lee","doi":"10.1016/j.jtrangeo.2025.104375","DOIUrl":"10.1016/j.jtrangeo.2025.104375","url":null,"abstract":"<div><div>The maritime industry is a cornerstone of global trade but faces significant sustainability challenges. International collaboration is crucial to address these issues, particularly for middle-income nations like MIKTA countries. This study employs a data analytics and machine learning approach to identify potential areas for collaborative research in sustainable maritime technology within MIKTA. By utilizing Latent Dirichlet Allocation (LDA) topic modeling, we categorized research papers into sub-fields and identified potential collaborations. Network and self-organizing map (SOM) analyses further refined these findings, revealing three priority areas with high collaboration potential but limited research: (1) developing a Sustainable Maritime Economy Realization Model (Indonesia-Korea), (2) creating an environmentally friendly and efficient port operation system (Mexico-Australia), and (3) establishing a Sustainable Management System for port workforce safety and health (Indonesia-Turkey). These insights can inform research and policy agendas, accelerating the development and adoption of sustainable maritime technologies within MIKTA and contributing to global maritime sustainability.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104375"},"PeriodicalIF":6.3,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772141","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}
Jiayu Liu , Xiping Yang , Lin Luo , Junyi Li , Hongfei Chen , Rui An , Jiyuan Li
{"title":"Inspecting urban transit-oriented development from the perspective of human activity: A case study of Xi'an, China","authors":"Jiayu Liu , Xiping Yang , Lin Luo , Junyi Li , Hongfei Chen , Rui An , Jiyuan Li","doi":"10.1016/j.jtrangeo.2025.104381","DOIUrl":"10.1016/j.jtrangeo.2025.104381","url":null,"abstract":"<div><div>Evaluation of transit-oriented development (TOD) can inform the exploitation of transportation and land use around metro stations. This study evaluates TOD by focusing on human activity patterns around metro stations, addressing a gap in previous research that mainly integrated transport capacity, land use, and the built environment. Using data from Xi'an, China, three types of human flow (home-work, home-other, work-other) are analyzed to construct five-dimensional activity indicators representing diversity, intensity, and the proportion of home, work, and other activities near metro stations. Stations are classified into seven clusters based on these activity characteristics. Multinomial logistic regression and random forest models are applied to examine the relationship between the built environment and TOD clusters, revealing their impact on human activity patterns. The findings offer insights into how the built environment influences TOD categories, supporting future transportation planning and decision-making.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104381"},"PeriodicalIF":6.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144749612","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}