Journal of Transport Geography最新文献

{"title":"Exploring the nexus between transit-based job accessibility and labor market outcomes among marital immigrants","authors":"Joshua Philip Suarez ,&nbsp;S.K. Jason Chang ,&nbsp;Jen-Jia Lin","doi":"10.1016/j.jtrangeo.2025.104358","DOIUrl":"10.1016/j.jtrangeo.2025.104358","url":null,"abstract":"<div><div>Foreign spouses often face disadvantages which may directly impede their ability to gain and retain employment. This research investigates the role of transit-based job accessibility in overcoming employment barriers among marital immigrants in Taiwan. Leveraging government survey data, we develop multilevel econometric models to disentangle the differential impact of job accessibility on labor market outcomes across metropolitan (Taichung City) and regional (Central Taiwan) settings. We find that better transit-based job accessibility positively influences the employment status and likelihood of above-minimum-wage earnings among foreign spouses in Taichung City. In Central Taiwan, better accessibility is associated with higher income and an increased likelihood of above-minimum-wage earnings. These results challenge the notion that improving accessibility offers a silver bullet to tackle all issues related to social equity. Instead, we highlight the necessity of targeted interventions to address the multifaceted needs of marital immigrants, with implications aimed at fostering economic integration and social inclusion.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104358"},"PeriodicalIF":5.7,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611686","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":"Assessing mobile phone data as proxy census commuting data for transport geography research: a critical review and case study","authors":"Lucas Martínez-Bernabéu ,&nbsp;Mike Coombes ,&nbsp;José Manuel Casado-Díaz","doi":"10.1016/j.jtrangeo.2025.104361","DOIUrl":"10.1016/j.jtrangeo.2025.104361","url":null,"abstract":"<div><div>Census commuting datasets underpin much research on spatial patterns of journey-to-work but fewer Censuses now collect such data. Major post-Covid changes to working practices call for mid-2020s commuting data, making any Census 2020/1 commuting datasets less relevant. Detailed geographical research needs commuting flow matrices at a local scale, and sample surveys cannot provide Census-like granular datasets. Declining Census data availability has stimulated growing interest in ‘big’ data, and data from mobile phones in particular. This paper provides a case study of using mobile phone data as a proxy for Census commuting data to define labour market areas. The case study is of Spain and exemplifies issues that can arise in any transport geography research using mobile phone data. The paper first itemises numerous ‘mismatches’ between such data and most Census commuting datasets. A critical problem for commuting studies is that many mobile owners/users are not workers, but commercial and confidentiality concerns prevent the release of metadata, and so non-workers cannot be excluded from this form of ‘commuting’ data. In this work we demonstrate a method to filter out most non-working flows to better approximate actual commuting flows. Our results suggest that mobile phone data, with appropriate transformations, may be a useful substitute for Census commuting data flows. However having data from both sources for the same territory and period remains vital to fully validate this conclusion.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104361"},"PeriodicalIF":5.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying informal public transport using GPS data","authors":"Lourens de Beer ,&nbsp;Christo Venter ,&nbsp;Lourens Snyman","doi":"10.1016/j.jtrangeo.2025.104355","DOIUrl":"10.1016/j.jtrangeo.2025.104355","url":null,"abstract":"<div><div>Informal public transport modes transport the largest number of passengers in most developing countries. Despite its significance, limited information is available on the extent of its operations, and passenger counts alone do not provide sufficient insight into network coverage or passenger turnover. GPS tracking has emerged as a valuable tool, yet its potential for understanding minibus taxi operations at the road segment level remains underexplored. GPS studies of informal operators have rarely been extrapolated to volume counts per time period, due to statistical problems (non-representative sampling) and small sample sizes. This paper addresses this gap by developing a methodology to determine the minibus taxi vehicle trip count per street segment from GPS data, to map routes, and identify high-traffic corridors, with an illustrative application in the City of Tshwane, South Africa.</div><div>The methodology includes data inspection, addressing limitations, and counting trips per street segment using a database and QGIS visualisation. Additionally, the paper outlines detailed steps in QGIS for processing GPS data. We show that the method delivers plausible results at the segment level. The methodology can help to address the global South's need for data-driven interventions in its predominant public transport mode.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104355"},"PeriodicalIF":5.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604653","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 propagation effect of high-speed rail from air passenger to air cargo traffic in China","authors":"Zhe Chen ,&nbsp;Haowen Ni ,&nbsp;Zhengli Wang","doi":"10.1016/j.jtrangeo.2025.104335","DOIUrl":"10.1016/j.jtrangeo.2025.104335","url":null,"abstract":"<div><div>The profound influence of high-speed rail (HSR) on air transportation has attracted widespread recognition. Considering that the air cargo in China is primarily transported in belly holds of passenger planes, the impacts of HSR entry on air cargo traffic are highly correlated with air passenger traffic. That is, there exists a propagation effect from HSR impacts on air passenger to cargo. Although existing studies have separately analyzed the impacts of HSR on air passenger and air cargo traffic, none of them investigate the propagation effect. To address this research gap in the literature, we propose to analyze the propagation effect of HSR from air passenger traffic to air cargo traffic. Specifically, we develop a hierarchical panel regression model to capture the propagation effect. We use dummy variables representing the opening HSR services to capture the impacts of HSR on air passenger traffic and air cargo traffic at the lower level. At the upper level, we employ a structural equation incorporating the coefficients of HSR dummy variables from air passenger and air cargo, along with other relevant determinants, to examine the propagation effect. We undertake a case study utilizing annual data on air passenger traffic and air cargo traffic in China, using a dataset of 233 city pairs spanning the period from 2001 to 2019. Our results reveal a significant propagation effect: 66.89% of HSR-induced passenger traffic reduction propagates to air cargo. Moreover, 60% of cargo traffic heterogeneity stems from this propagation, with backbone network and regional factors explaining an additional 25.4%.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104335"},"PeriodicalIF":5.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595720","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":"Walkability as a measure of the attractiveness of tourist walking itineraries","authors":"Gaetana Rubino ,&nbsp;Domenico Gattuso ,&nbsp;Juliane Stark ,&nbsp;Karolina Taczanowska","doi":"10.1016/j.jtrangeo.2025.104354","DOIUrl":"10.1016/j.jtrangeo.2025.104354","url":null,"abstract":"<div><div>Active mobility has long been overlooked compared to conventional means of transportation. However, both research and institutions now recognize its importance for a balanced and sustainable transportation system, crucial for human and environmental health. Active mobility is often seen in the context of everyday mobility, but it is increasingly significant for leisure mobility, particularly in tourism. Academic research has primarily focused on urban paths or rural hiking trails, neglecting tourist itineraries that blend urban and rural environments, such as the Camino de Santiago or the Via Francigena. This paper proposes an extension of the walkability concept to rural contexts, particularly in relation to infrastructure for pedestrian tourism mobility (Walking Tourism). This research, grounded in comprehensive on-site analysis, focus groups with organizers of Calabrian pedestrian itineraries, and surveys with users from both national and international backgrounds, is framed within the context of active mobility for sustainable tourism. Key aspects such as itinerary quality, surrounding environment, and available infrastructures are examined alongside socio-demographic characteristics and travel habits to uncover the varying importance of these attributes for pedestrians and their satisfaction. A methodology for assessing the Attractiveness of the itineraries is proposed, highlighting a shift in walkers' priorities, with factors like landscape quality gaining importance over traditionally significant aspects like support services. The study tested this method on the Paths and Ways Network in Calabria ranking them based on their appeal. Additionally, a strategic intervention framework is proposed, correlating walking attributes with satisfaction levels to guide effective planning and promotion of itineraries in order to develop sustainable tourism mobility. The case study on the itineraries in the Calabria region highlights how the method can be extended to other similar itineraries. Moreover, this research lays the foundational groundwork for subsequent simulations of walking itineraries, further supporting future developments in walking tourism and sustainable mobility.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104354"},"PeriodicalIF":5.7,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595722","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":"Defining rural: Inconsistencies in observed travel behavior across rural and urban classifications in Vermont","authors":"Clare Nelson,&nbsp;Erica Quallen,&nbsp;Gregory Rowangould","doi":"10.1016/j.jtrangeo.2025.104357","DOIUrl":"10.1016/j.jtrangeo.2025.104357","url":null,"abstract":"<div><div>Transportation research and funding programs frequently use geographic identifiers like rural, urban, or something in-between, but the ways these terms are defined vary widely. This can have real consequences on funding decisions, identifying transportation burdens, and what we think we know about travel behavior. In this study, we examine how observations of travel behavior change when we apply different rural-urban classification schemes. We use data collected from the odometers of vehicles used by 150,088 Vermont households to assess similarities and differences in vehicle miles travelled (VMT) when aggregated using four rural-urban classification schemes that are frequently used in transportation research and practice. We find that, on average, rural drivers travel farther than urban drivers as expected, but with important caveats. The scale at which rurality is defined and the choice of a rural-urban definition results in statistically significant differences in VMT estimates. Additionally, places classified as somewhere in between urban and rural can exhibit comparable if not higher mileage than rural areas. And finally, the heterogeneity of community travel cannot be ignored: all communities have low and high mileage drivers. We conclude with a broad call to move beyond rural-urban classification for many transportation research and policy applications rather than creating more refined definitions. A greater focus on identifying travel burdens faced by individuals and different population groups using an accessibility framework would provide more policy relevant and actionable information that gets to core purpose of transportation – the ability to get to where you need to go.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104357"},"PeriodicalIF":5.7,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588544","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":"Does a short journey get me to the food bank? An empirical study on fare-based public transport accessibility and its implications for social equity","authors":"Christoph Aberle ,&nbsp;Carsten Gertz","doi":"10.1016/j.jtrangeo.2025.104348","DOIUrl":"10.1016/j.jtrangeo.2025.104348","url":null,"abstract":"<div><div>Fares are a critical barrier for low-income earners towards using public transport (PT). While most literature focuses only on travel time and distance, we introduce the novel indicator of ‘fare accessibility’.</div><div>Fare accessibility extends <em>Hansen Accessibility</em> by incorporating pay-as-you-go costs as impedance, counting the amenity destinations reachable within a €2.30 ticket. To assess distributional equity of fare accessibility in the Greater Hamburg region (HVV) we use Lorenz curves. Furthermore, we employ spatial regression models to predict its variation based on eight factors, including PT service level, purchasing power and car availability. We calculate models at three spatial levels (municipality/PT stop/500 m grid) to discuss the influence of the Modifiable Area Unit Problem. In doing so, we assess the sensitivity and suitability of this indicator beyond established metrics.</div><div>Fare accessibility shows a significant relationship with centrality at all spatial levels. A single ticket offers the highest accessibility in densely-populated regions with a high PT service index, short travel times, low purchasing power and low car availability. While this hints towards using existing indicators at a regional level, fare accessibility helps to identify local deficits e.g. by quantifying the population without access to a food bank (which we understand as exemplary for any kind of destination). Overall, fare accessibility is less equally distributed than PT service and car availability; the HVV residents holding around half of the purchasing power are not able to reach any destination on a €2.30 budget, which is supposed to connect everyone to the next shopping centre. The share is dependent on spatial resolution, while a finer level improves sensitivity to inequity. With the Modifiable Area Unit Problem in mind, the stop level offers a suitable compromise between precision and computational capacity. Moreover, stop level analysis is compatible with practical PT planning.</div><div>Overall, fare accessibility emerges as an informative indicator for planners and policymakers. It can be expressed for numerous amenity destinations, offer insights into the daily struggles faced by low-income earners, and provide a tool to assess and improve accessibility for those most in need.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104348"},"PeriodicalIF":5.7,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580478","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 efficiency determinants of rural bus routes in northern Taiwan: A network DEA with temporal data aggregation","authors":"Ming-Miin Yu,&nbsp;Yi-Hsuan Chiang","doi":"10.1016/j.jtrangeo.2025.104352","DOIUrl":"10.1016/j.jtrangeo.2025.104352","url":null,"abstract":"<div><div>This study evaluates the production, service, and overall operational efficiency of 19 rural bus routes in northern Taiwan, focusing on the challenges of delivering transport services in remote and low-density areas. A two-stage analytical framework was adopted. In the first stage, multi-period Network Data Envelopment Analysis (NDEA) was employed to assess stage-specific efficiencies across time. Particular attention was given to ensuring consistency between data-level and efficiency-level aggregation, addressing a critical methodological issue in multi-period efficiency measurement. In the second stage, Bootstrap Truncated Regression (BTR) was applied to examine the influence of external factors beyond conventional inputs and outputs. The findings identify route length, operating mode, and taxi service integration as significant determinants of efficiency. Further, quadrant-based importance-performance analysis reveals critical mismatches between route efficiency and strategic relevance, offering a basis for targeted improvement. This study provides actionable recommendations for policymakers and transit operators, including optimizing route design to reduce inefficiencies, integrating flexible transport modes, tailoring subsidy mechanisms, and institutionalizing multi-period evaluation frameworks to support data-driven governance in rural transportation systems.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104352"},"PeriodicalIF":5.7,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571673","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":"Developing a framework for resilience assessment of electric vehicle charging station networks","authors":"Omar Faruqe Hamim,&nbsp;Xiaowei Chen,&nbsp;Satish V. Ukkusuri","doi":"10.1016/j.jtrangeo.2025.104349","DOIUrl":"10.1016/j.jtrangeo.2025.104349","url":null,"abstract":"<div><div>The growing adoption of electric vehicles (EVs) demands a resilient charging infrastructure for supporting sustained usage. This study introduces a framework for generating EV charging station (EVCS) networks using weighted Voronoi diagrams. EV Charging Attractiveness Potential (ECAP) metric, reflecting varying levels of EVCS attractiveness, is developed considering visits to commercial points of interest, daily trips per person, direct current fast charger equivalents, and EV penetration rates. The resilience of EVCS networks across twelve U.S. states is assessed by analyzing relative global efficiency under random and targeted node removal strategies, including single and multiple node removals. Results indicate higher resilience against random versus targeted attacks and single versus simultaneous node removals. Using a 0.2 relative global efficiency threshold, Florida, New York, and Washington are most vulnerable, reaching the threshold with fewer than 10% of stations removed, while Colorado, North Carolina, Oregon, and Texas collapse with 10%–15% removed, and Indiana, Maine, Minnesota, and Wisconsin remain resilient until more than 15% are removed. Notably, the most critical stations do not necessarily align with areas of high EV charging demand, indicating that resilience is influenced by more than demand alone. Furthermore, the distribution of critical stations varies across different community types (i.e., city, suburban, town, and rural), highlighting the importance of local socio-demographic and geographic factors in shaping network resilience. These findings provide valuable insights for policymakers and stakeholders, underscoring the need for strategic planning and deployment of EVCS infrastructure to enhance resilience and ensure reliable access to charging facilities across diverse regions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104349"},"PeriodicalIF":5.7,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571674","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":"Assessing the impacts of transit systems and urban street features on bike-sharing ridership: A graph-based spatiotemporal analysis and prediction model","authors":"Kai-Fa Lu ,&nbsp;Yanghe Liu ,&nbsp;Zhong-Ren Peng","doi":"10.1016/j.jtrangeo.2025.104356","DOIUrl":"10.1016/j.jtrangeo.2025.104356","url":null,"abstract":"<div><div>Accurate analysis and forecasting of bike-sharing ridership, particularly accounting for the effects of urban street features and public transit systems, is vital for optimizing system design, improving operational efficiency, and promoting multimodal integration in urban transport. However, existing models focus more on spatiotemporal pattern analysis and prediction accuracy improvement, often overlooking the role of transit effects and street characteristics. This gap limits our understanding of their interplay and forces a trade-off between accuracy and interpretability. This study presented a graph-based modeling framework that incorporated spatiotemporal bike-sharing data with transit networks and schedules, street view imagery, demographics, built environment metrics, points of interest, and weather conditions to both analyze and predict ridership patterns and their underlying causes. This framework leveraged the predictive power of machine learning, the interpretability of manually extracted features, and the availability of data for these factors, particularly integrating transit networks and schedules to represent transit-related effects. We first employed Spatial Vector Autoregressive Lasso and graph-based models to identify key temporal variables, capture spatial dependencies, and extract spatiotemporal graph attributes. These were combined with other contextual variables and fed into an eXtreme Gradient Boosting (XGBoost) model to elucidate factor-ridership relationships and predict bike-sharing ridership. Using 2019 Capital Bikeshare trip data from Washington D.C., our results showed that incorporating transit and street features greatly improved ridership prediction performance, especially during rush hours and in high-demand areas. This implied strong connections among bike-sharing usage, public transit systems, and street forms. Notably, bike stations within 100 m of bus stops and 50 m of metro stops often showed higher ridership. Bike stations located near major transit hubs, busy streets, traffic intersections, and open urban areas with fewer buildings also experienced greater shared bike use. These findings emphasize the need to integrate transit accessibility and urban street form data into micromobility planning and operation, offering actionable insights for optimizing station placement, rebalancing strategies, and system integration with public transport to advance more efficient and sustainable urban mobility.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"128 ","pages":"Article 104356"},"PeriodicalIF":5.7,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571675","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}