Journal of Transport Geography最新文献

{"title":"Unveiling inequalities: The intersection of gender and income in accessibility in Curitiba, Brazil","authors":"Agnes Silva de Araujo ,&nbsp;Jaqueline Massucheto ,&nbsp;Geisa Tamara Bugs ,&nbsp;Marcus Vinícius Pereira Saraiva ,&nbsp;Fábio Duarte","doi":"10.1016/j.jtrangeo.2025.104136","DOIUrl":"10.1016/j.jtrangeo.2025.104136","url":null,"abstract":"<div><div>This research investigates accessibility inequalities in Curitiba, Brazil, employing an intersectional analysis of gender and income groups within the urban context. We utilized an Agent-based model (AxS model) to generate artificial trajectories from the Origin-Destination (OD) survey aggregated dataset and calculate individual accessibility metrics. The findings reveal that, overall, men have greater accessibility to opportunities than women in Curitiba. The exception is in income class A (the highest), where women tend to travel shorter, more central routes and use cars more frequently, leading to higher accessibility. However, women in other income groups (lower income) face lower accessibility than their male counterparts, largely due to living in peripheral areas with fewer local opportunities and being more dependent on slower transport modes such as public transportation and walking to access these opportunities. The gender accessibility gap widens notably as income decreases, showing the significance of intersectionality of income and gender factors. Counterfactual simulations revealed that the choice of transport modes has a greater impact on women's individual accessibility than the distances traveled. The discussion emphasizes the need for mixed land use in peripheral areas and improvements on public transportation to ensure extensive coverage and reduce travel times to mitigate the effects of gender and income inequalities. This research contributes to studies on gender-sensitive urban planning, providing insights for policymakers and urban researchers seeking to foster inclusivity and equality in transportation systems and spatial development.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104136"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unlocking the gates: Pedestrian route choice in transforming metro station paid areas into mobile public spaces","authors":"Ho Yin Chan ,&nbsp;Wai-Yi Tse ,&nbsp;Anthony Chen","doi":"10.1016/j.jtrangeo.2024.104083","DOIUrl":"10.1016/j.jtrangeo.2024.104083","url":null,"abstract":"<div><div>Recent discussions on <em>public transport as public space</em> are particularly relevant in transit-oriented cities, where urban design profoundly shapes connectivity and pedestrian flow. Strategies such as destination consolidation, node manipulation, and privatized infrastructure, including walkways and transit systems, significantly influence these patterns. Assimilating ideas from nudge and practice theories, this study examines pedestrians' reactions to hypothetical scenarios of opening quasi-public paid areas in metro stations to the public. Using three pairs of interconnected metro stations in Hong Kong—two linked by private paid walkways (stated preference) and one by public unpaid walkways (revealed preference)—a questionnaire survey (<em>N</em>=419) and discrete choice modeling were conducted. Results show adverse weather, such as rain or extreme temperatures, is a primary driver for choosing weather-protected underground paths. However, proximity and distance do not consistently predict route choice, suggesting the influence of less visible factors. For example, retail shops along a route subtly encourages usage, even for individuals with limited interest in shopping, serving as markers of convenience or familiarity. Routes with proprietary underground exits also promote underground usages. These findings reveal how deliberate design, ingrained habits and symbolic meanings collectively shape pedestrian decisions. By uncovering the social-political dynamics of pedestrian movement, this study contributes to the <em>politics of routes</em> discourse and offers quantitative insights for integrating micro-scale flow management in public space with broader urban planning strategies for transport infrastructure. It underscores the need to design public spaces that consider the subtle power dynamics emerging from the interplay between everyday practices and the socio-material configuration of space.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104083"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790020","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":"Addressing spatial heterogeneity and MAUP in urban transport geography: A multi-scale analysis of accessibility and warehouse location","authors":"Carlos David Pedrosa Pinheiro ,&nbsp;Jesus Gonzalez Feliu ,&nbsp;Bruno Vieira Bertoncini","doi":"10.1016/j.jtrangeo.2024.104078","DOIUrl":"10.1016/j.jtrangeo.2024.104078","url":null,"abstract":"<div><div>This research delves into the intricate spatial interplay between the siting of urban warehouses and accessibility within Fortaleza, Brazil, employing Multiscale Geographically Weighted Regression (MGWR) across varied Basic Spatial Units (BSUs). It unveils a nuanced relationship between the density of warehouses and accessibility, marked by significant variations across BSUs. The findings highlight distinct spatial distributions for large and small warehouses: large warehouses tend to aggregate near key transport arteries for strategic benefits, whereas small warehouses are more evenly dispersed throughout the city. The study accentuates the critical role of transportation, land use, temporal, and individual accessibility components in influencing warehouse density. These revelations are pivotal for shaping urban transport policies, indicating the need for finely calibrated, location-specific interventions to tackle the complexities introduced by warehouse locations on urban accessibility and operational efficiency. By shedding light on the nuanced spatial dynamics between warehouse locations and accessibility factors, this study paves the way for fostering more effective urban freight transport solutions, advocating for policies tailored to the unique demands and characteristics of urban environments.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104078"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790025","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":"Madina Python package: Scalable urban network analysis for modeling pedestrian and bicycle trips in cities","authors":"Andres Sevtsuk,&nbsp;Abdulaziz Alhassan","doi":"10.1016/j.jtrangeo.2025.104130","DOIUrl":"10.1016/j.jtrangeo.2025.104130","url":null,"abstract":"<div><div>There is growing interest around sustainable mobility in cities, particularly pedestrian mobility, but methodological limitations and scarcity of software tools to analyze the dynamics between pedestrians and urban land uses have limited both research on and policy-relevant planning applications of pedestrian modeling. To address these challenges, we introduce <em>Madina</em>, a new <em>Python</em> package for modeling pedestrian and cycling trips along spatial networks in urban environments. The package enables managing and visualizing spatial network datasets and implements a set of <em>Urban Network Analysis</em> (UNA) tools for measuring pedestrian accessibility to given destination facilities, for identifying critical walking routes between origin-destination types, and for estimating pedestrian flows over network segments. While some of the methods we use for modeling pedestrian trips along networks have been previously implemented in desktop software plugin-ins, such as <em>ArcGIS</em> or <em>Rhinoceros 3D</em>, <em>Madina</em> introduces three new capabilities to researchers and practitioners. First, it incorporates innovative algorithms that enable computationally expensive pedestrian routing assignments to be scaled to larger geographic areas than previously possible the UNA Rhinoceros environment. Second, an implementation in <em>Python</em> offers new and powerful opportunities to automate various types of pedestrian and bic modeling steps through scripts and allows outputs to be connected with other types of analytic tasks, not available in desktop software applications. Enabling complex spatial analysis procedures to be replicated in automated ways contributes to verifiability, reproducibility, and the development of more robust urban science. And third, it presents the first end-to-end implementation of urban network analysis methods in an open-source Python environment, where no proprietary software is needed. We demonstrate the application of Madina tools in New York City, one of the largest pedestrian networks in the world.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104130"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the spatial distribution structure of intercity human mobility networks under multimodal transportation systems in China","authors":"Haosong Wen ,&nbsp;De Zhao ,&nbsp;Wei Wang ,&nbsp;Xuedong Hua ,&nbsp;Weijie Yu","doi":"10.1016/j.jtrangeo.2025.104144","DOIUrl":"10.1016/j.jtrangeo.2025.104144","url":null,"abstract":"<div><div>Intercity human mobility drives the redistribution of resources and accelerates the coordination of urban agglomeration systems. Current intercity transportation systems tend to develop in multiple modes, while there are limited investigations into the distribution structure of multimodal mobility networks. We construct intercity mobility networks under different flows including highway, railway, aviation, and their combination employing nationwide mobility data in China. The spatial analysis approach for complex networks is utilized to conduct a series of quantitative investigations on intercity mobility. Our findings reveal both similarities and differences in the multidimensional spatial patterns and hierarchical structures of various networks. These networks exhibit various distance decay effects due to different geographic constraints, contributing to competition or complementarity in travel distances. The spatial distribution of centrality is relatively consistent across various networks but with more polarized natures for aviation. Notably, cities with the most connections in intercity mobility networks are not necessarily the most central, practically within the highway network. Further, the core city drives clustering effects with surrounding cities, facilitating the formation of communities that contribute to heterogeneous mobility patterns inside and outside. We examine the connection patterns within and between communities, revealing distinct roles for cities within these spatial association networks. These findings provide valuable insights into spatial interactions among cities and contribute to the formulation of reasonable urban development policies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104144"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143307962","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 a better understanding of changes in cost per riders for bus routes before and after the COVID-19 pandemic in Montréal, Canada","authors":"Lancelot Rodrigue,&nbsp;Kevin Manaugh,&nbsp;Ahmed El-Geneidy","doi":"10.1016/j.jtrangeo.2025.104142","DOIUrl":"10.1016/j.jtrangeo.2025.104142","url":null,"abstract":"<div><div>The COVID-19 pandemic has severely impacted the finance of transit agencies by reducing farebox revenues. Combined changes in ridership and service operation levels have further transformed the financial efficiency of public-transit services. Understanding how these changes vary between routes is crucial to inform service optimization processes to reduce transit agencies' operational deficits. Using data from the bus network in Montréal, Canada, for 2019 and 2022, we assessed changes in cost per rider at the route-level before and right after the COVID-19 pandemic. We categorized daytime multi-stops bus routes (<em>N</em> = 184) based on the income of the areas they served and their cost per rider across both years to assess diverging temporal and spatial patterns. Our results highlighted that high cost per rider routes were mostly located in the periphery of the study area and in the downtown core and that such patterns worsened following the pandemic, particularly for the downtown core. We observed that routes which served higher income areas tended to have higher cost per rider on average than middle- or low-income ones. We further confirmed this finding by categorizing bus routes by their cost per rider, finding that high cost routes in both 2019 and 2022 tended to be serving higher income areas than other routes. The consideration of both temporal, spatial and socio-economic variation of the cost of bus services provides nuance insight to transportation planners as they aim to optimize bus services while being mindful of potential ridership loss and vertical equity issues.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104142"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do built environment characteristics influence metro-bus transfer patterns across metro station types in Shanghai?","authors":"Yuji Shi,&nbsp;Luohuan Zeng","doi":"10.1016/j.jtrangeo.2025.104137","DOIUrl":"10.1016/j.jtrangeo.2025.104137","url":null,"abstract":"<div><div>Unravelling the complex relationship between metro-bus transfer behavior and the built environment is crucial for the construction of a sustainable urban public transportation system. The current research prominently emphasizes modeling station-level metro-bus transfer ridership in relation to the built environment that surrounds with transit stations, few has specially focused on exploring and comparing this relationship among various transit station types. Based on the case study of Shanghai central city, this research clustered metro stations according to the time-series similarity of metro-bus transfer ridership pattern by combining Derivative Dynamic Time Warping and K-medoids. Then, for each metro station group, the spatiotemporal heterogeneity and nonlinearity of built environment effects on transfer ridership pattern were examined simultaneously by applying an adapted GTWR-RF method that integrates Geographically and Temporally Weighted Regression (GTWR) and Random Forest (RF). Our empirical analysis confirmed the importance of key built environment determinants and their associations with transfer ridership vary significantly among different metro station types. Furthermore, this research highlighted the proposed GTWR-RF model, which considers both spatiotemporal heterogeneity and nonlinearity effects of the built environment on the transfer ridership, can significantly improve the prediction ability. These findings provide a comprehensive perspective for policymakers, enabling them to formulate transportation policies with consideration of station type specification and to bolster the overall public transportation usage in cities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104137"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350645","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":"Relocating home or changing job? The impact of long commuting","authors":"Liang Ma,&nbsp;Yan Huang,&nbsp;Wenqian Shi,&nbsp;Jian Lin","doi":"10.1016/j.jtrangeo.2025.104114","DOIUrl":"10.1016/j.jtrangeo.2025.104114","url":null,"abstract":"<div><div>Commuting is commonly perceived as a burdensome aspect of daily life, with adverse effects on individuals' physical and mental well-being and social interactions. Existing “search theory” suggests that people make decisions about job searches and home relocations by weighing the costs of commuting against the potential benefits, such as increased income and improved living conditions. However, few studies have thoroughly examined how and to what extent commuting influences home relocation and job mobility. Addressing this gap is essential for gaining a deeper understanding of the complex relationship between commuting and job-housing arrangements, and for informing policies aimed at improving urban spatial layouts, housing, and transportation services. This study uses four waves of longitudinal data on urban commuters in China to analyze the effects of commuting time on job move and home relocation through panel multinomial logistic regression models. It also explores the role of life and job satisfaction in this relationship. The findings reveal a significant association between longer commuting times and job mobility, particularly in cities with urban populations exceeding five million. Conversely, no statistically significant correlation is found between commuting time and home relocations. Longer commuting times are associated with decreased job satisfaction, which in turn increases the likelihood of changing jobs. Additionally, the study identifies a critical tolerance threshold for commuting time, noting an increased propensity for job changes when commuting exceeds 30 min. These insights contribute new knowledge on commuting dynamics and the intricate relationship between employment and housing.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104114"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968038","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":"Nonlinearities and threshold points in the effect of contextual features on the spatial and temporal variability of bus use in Beijing using explainable machine learning: Predictable or uncertain trips?","authors":"Sui Tao ,&nbsp;Francisco Rowe ,&nbsp;Hongyu Shan","doi":"10.1016/j.jtrangeo.2025.104126","DOIUrl":"10.1016/j.jtrangeo.2025.104126","url":null,"abstract":"<div><div>In pursuing sustainable transport, understanding the dynamics of transit passengers' travel demand is necessary for establishing more attractive public transport relative to cars. However, to what extent daily transit use displays geographic and temporal variabilities or predictability, and identifying what are the contributing factors explaining these patterns have not been fully addressed. Drawing on smart card data in Beijing, China, this study adopts new indices to capture the spatial and temporal variability of bus use during peak hours and investigates their associations with relevant contextual features. Using explainable machine learning, our findings reveal non-linearities and threshold points in the spatial and temporal variability of bus trips as a function of trip frequency. Greater distance to the urban centres (&gt;10 km) is associated with increased spatial variability of bus use, while greater separation of trip origins and destinations from the subcentres reduces both spatial and temporal variability reflecting highly predictable of trips. Higher availability of bus routes is linked to higher spatial variability but lower temporal variability. Meanwhile, both lower and higher road density is associated with higher spatial variability of bus use especially in morning times. These findings indicate that different built environment features moderate the flexibility of choosing travel time and locations influencing the predictability of trips. Understanding highly predictable trips is key to develop more effective planning and operation of public transport.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104126"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143035310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh under climate change","authors":"Naser Ahmed ,&nbsp;Jesmin Jui ,&nbsp;Dong Liu ,&nbsp;Kyusik Kim ,&nbsp;Junghwan Kim ,&nbsp;Jinhyung Lee","doi":"10.1016/j.jtrangeo.2025.104134","DOIUrl":"10.1016/j.jtrangeo.2025.104134","url":null,"abstract":"<div><div>This research aims to explore inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh, a country in the Global South that is prone to natural disasters. We begin by quantifying the walking time to the nearest cyclone shelters as a basic measure of accessibility. Additionally, we compute a more practical measure of accessibility by considering crowding effects in shelters due to the interactions between supply (e.g., shelter capacity) and demand (e.g., population levels) using the two-step floating catchment area (2SFCA) method. Using these accessibility measures as a basis, we examine accessibility inequalities through the Gini index. Furthermore, we perform a statistical analysis with an equity lens to examine whether marginalized populations are disproportionately located in underserved areas with limited accessibility. The results reveal substantial inequalities in 2SFCA-based cyclone shelter accessibility across different regions. The statistical analysis results show that seniors, females, individuals with physical disabilities, and religious minorities are disproportionately located in areas where walking time to the nearest shelters exceeds the government guideline of 20 min. This study is one of the first attempts to understand the inequalities in geographic accessibility to emergency cyclone shelters in an under-examined low- and middle-income country (LMIC) in the Global South such as Bangladesh. By shedding light on the inequalities faced in accessing these critical facilities, our research contributes to the broader understanding of human mobility and accessibility in response to the increasing intensity and frequency of unexpected disruption events in the context of climate change.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"123 ","pages":"Article 104134"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}