Journal of Transport Geography最新文献

{"title":"Transport quality and user perception: Effect of bus station hedonic quality on student trip behavior","authors":"Armando Cartenì ,&nbsp;Ilaria Henke ,&nbsp;Antonella Falanga ,&nbsp;Mariarosaria Picone","doi":"10.1016/j.jtrangeo.2025.104235","DOIUrl":"10.1016/j.jtrangeo.2025.104235","url":null,"abstract":"<div><div>This study examines the impact of bus station quality on users' travel choices, with a specific focus on the hedonic aspects related to architectural design and passenger services offered. It is widely shown that a safer, reliable, and comfortable transport service fosters greater trust in the transport system and leaves users with a positive perception of ease of movement within a geographical area. Moreover, the quality of public transport services has long been recognized as a crucial factor in shaping perception of accessibility to a place, potentially expanding the catchment area by attracting a larger number of users. In designing new terminals, many planners worldwide specifically focus on hedonic (aesthetic) aspects, also influencing the user's quality perception. Unlike rail stations, bus stations have had little attention with respect to aesthetic quality and passenger services, even if many studies have highlighted the significant impact that the design, services, and amenities of bus waiting areas have on user satisfaction. This study focuses on the hedonic value of a bus station and estimates users' willingness to pay (WTP) for enhanced station quality. The research targets are university students (aged 18–25) traveling on extra-urban routes, involving three major Italian cities: Milan, Rome, and Naples. Using a Discrete Choice Experiment (DCE) conducted through a Virtual Reality (VR) immersive experience, this study explores users' willingness to switch from a conventional bus station to a newly designed high-quality one, assessed in terms of both architectural standards (i.e. the “beauty”) and the functional quality (i.e. passenger's services offered, like restaurant, bar, free Wi-Fi, shops, comfortable waiting room, e-ticketing devices). Analyzing various cost and travel time SP scenarios, the model results shows that the average Italian student is willing to pay an additional €3.11 per trip (equivalent to 25 % of the actual average trip cost) or extend their travel time by up to 20.9 min per trip (26 % of the average actual travel time) to experience a superior bus station instead of a traditional one. The practical implications of this study are clear for urban planners, policymakers, and transport authorities: prioritizing investments in high-quality stations can significantly improve passenger satisfaction and promote greater use of public transport.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104235"},"PeriodicalIF":5.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817051","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":"Prediction of high-risk areas using the interpretable machine learning: Based on each determinant for the severity of pedestrian crashes","authors":"Junho Yoon","doi":"10.1016/j.jtrangeo.2025.104216","DOIUrl":"10.1016/j.jtrangeo.2025.104216","url":null,"abstract":"<div><div>Despite the steady decline in the total number of pedestrian crashes in Korea, the pedestrian fatality rate per 100,000 people remains high compared to the Organization for Economic Cooperation and Development (OECD) average. As the data of traffic crashes is gradually accumulated every year, various machine learning methodologies are needed to analyze this data. This study proposed a new algorithmic approach using Local Interpretable Model-Agnostic Explanation (LIME) to identify vulnerable pedestrian crash areas based on each determinant influencing these severity in Seoul. Using the pedestrian crash data from 2016 to 2018, this study uses the XGBoost to model the determinants of pedestrian crash severity and LIME to predict high-risk areas for each determinant. A new algorithmic approach using LIME was proposed to enhance the reliability by filtering data based on an Explanation Fit (R² ≥ 0.26), in reference to <span><span>Cohen (1988)</span></span>. Upon synthesizing the results, Cheongnyangni Station and Gangnam Station in Seoul were predicted as vulnerable to severe pedestrian crashes due to the superposition of influencing variables considered in this study. In this study, the heatmap predictions derived from the proposed algorithm methodology provided insights into the vulnerable areas and non-linear determinants of pedestrian crash severity. Additionally, this study suggests policy implications aimed at reducing pedestrian crash severity and enhancing pedestrian safety.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104216"},"PeriodicalIF":5.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808493","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":"Unlocking the nonlinear TOD-metro ridership relationship: A novel machine learning approach embedding spatiotemporal heterogeneity","authors":"Yun Luo ,&nbsp;Bozhao Li ,&nbsp;Hui Zhang ,&nbsp;Mengjun Kang ,&nbsp;Shiliang Su","doi":"10.1016/j.jtrangeo.2025.104222","DOIUrl":"10.1016/j.jtrangeo.2025.104222","url":null,"abstract":"<div><div>Machine learning approaches to unlocking the TOD-metro ridership relationship have attracted great attention due to the strong capability of such approaches to handle the underlying nonlinearity and complexity in this relationship. Considering the peculiarities of spatiotemporal heterogeneity in metro ridership, however, one prominent challenge remains unsettled, namely, the issue that traditional machine learning algorithms are designed to be ‘aspatial’ and thus only produce global estimations. In this paper, a geographical and temporal random forest regression algorithm (GTRFR) is developed, which extends the traditional random forest (RF) as a disaggregation of a number of local submodels and computes an individual random forest regression for each location i at time j using neighboring observations across time and space. It further employs this algorithm to unlock the nonlinear TOD-metro ridership relationship in the case of the Hangzhou metropolitan area. The results show that the GTRFR outperforms the traditional RF in explaining the TOD-metro ridership relationship. Particularly, the nonlinear TOD-metro ridership relationship is unlocked from two major aspects: (1) the relative importance of TOD structural factors across time and space and (2) spatially and temporally varying threshold effects in the effects of the TOD structural factors. The findings portray a much broader picture of the mechanisms underlying the TOD-metro ridership relationship. This paper contributes to the argument that accounting for spatiotemporal heterogeneity should be beneficial to applying machine learning algorithms to transport geography.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104222"},"PeriodicalIF":5.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785051","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":"Patterns of temporal and spatial variability of parking in a large City in the context of road network configuration – The case of Łódź, Poland","authors":"Marta Borowska-Stefańska ,&nbsp;Mariusz Lamprecht ,&nbsp;Filip Turoboś ,&nbsp;Szymon Wiśniewski","doi":"10.1016/j.jtrangeo.2025.104236","DOIUrl":"10.1016/j.jtrangeo.2025.104236","url":null,"abstract":"<div><div>The article addresses the issue of spatiotemporal patterns of parking in the centre of Łódź. The discussion focuses on the interrelationships between the configuration of the road network and the distribution and utilization of parking spaces. The study employs the Space Syntax methodology and the DBSCAN clustering algorithm, with an additional analysis of the spatial distribution and intensity of parking in the context of the area's development. The objective of this research is to ascertain the impact of the configurational characteristics of urban space on parking behaviors in paid parking zones (PPZ). The study considers a number of variables, including vehicle accumulation, parking duration, the maximum occupancy of parking spaces during peak hours, and vehicle turnover. The findings indicate that, although configurational measures of the road network, such as integration and choice, are capable of identifying pivotal urban spaces, there is no evident correlation between these measures and the observed patterns of parking usage. It seems reasonable to posit that parking behaviors are more dependent on specific local features, such as proximity to important points of interest (POIs) or the availability of public transport. The DBSCAN method was demonstrated to be an effective means of identifying parking clusters exhibiting varying usage intensities. The findings indicate that the implementation of analytical techniques that integrate diverse methodologies can facilitate the formulation of adaptable strategies for the administration of public and parking spaces, thereby promoting sustainable mobility and enhancing the quality of life for residents.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104236"},"PeriodicalIF":5.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785052","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 neglected electric vehicle adoption context: Expert perspectives concerning barriers to uptake in rural communities","authors":"Alexandra Sbrocchi ,&nbsp;Léa Ravensbergen ,&nbsp;Mark Ferguson ,&nbsp;Sadia Tasnim ,&nbsp;Moataz Mohamed","doi":"10.1016/j.jtrangeo.2025.104220","DOIUrl":"10.1016/j.jtrangeo.2025.104220","url":null,"abstract":"<div><div>In an effort to decarbonize the transport sector, many countries are implementing policies to increase the uptake of Zero-Emission Vehicles (ZEVs). While ZEV adoption is on the rise, it is not occurring at the same rate geographically. With some exceptions, rural areas are adopting ZEVs at much slower rates compared to urban areas. It is likely that unique rural geographies require special policy considerations regarding ZEV uptake, yet few studies have focused on rural areas. This study addresses this gap through a qualitative investigation of barriers to ZEV adoption in rural areas. Twelve group interviews with experts in transport, energy, infrastructure, economics, and climate across Canada who serve on a Federal-Provincial-Territorial-Zero-Emission-Vehicle-Working-Group (FPT ZEV WG) were conducted. Group interviews were transcribed verbatim and analyzed using thematic analysis. Barriers to ZEV adoption that emerged from the analysis included logistical, perceptual, economic, and policy. Though provincial and territorial policies vary widely within Canada, a rural-urban ‘<em>one-size-fits-all</em>’ approach emerged. In other words, within provincial and territorial ZEV policy, there is a lack of distinguishment between rural and urban areas. Further, the heterogeneity of rural communities is rarely given explicit consideration in the policy landscape. Taken together, ZEV adoption policies may need to evolve to address rural blind spots that are apparent.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104220"},"PeriodicalIF":5.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791950","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":"Beyond infrastructure: Unpacking the complexity of exclusion and implications for just mobility transitions","authors":"Bárbara Oliveira Soares ,&nbsp;Meredith Glaser","doi":"10.1016/j.jtrangeo.2025.104202","DOIUrl":"10.1016/j.jtrangeo.2025.104202","url":null,"abstract":"<div><div>There is an emerging awareness that the transition towards sustainable transportation systems may contribute to widening social disparities, especially related to access to opportunities and services among marginalised communities manifested as transport exclusion. However, mechanisms that lead to or compound transport exclusion are less understood and empirics uncovering how marginalised communities experience exclusion are limited. This study uses a qualitative approach to explore the experiences of exclusion in mobility among ‘community leaders’ representing marginalised populations, including children, elderly, low-income individuals, disabled people, LGBTQ+, and communities of colour. We use the case of cycling to provide a lens into such transitions, as cycling is often referenced as a mode with sustainable and inclusive benefits. The study is based in Amsterdam, the Netherlands, which offers a unique context to situate mobility justice dilemmas due its matured cycling environment and policies. Findings highlight the complexity of exclusion and the need for a holistic, comprehensive approach to transportation planning to ensure a just mobility transition. The study calls for a transformation towards epistemic and procedural justice where knowledge, skills, and representation at all municipal levels become more inclusive of diverse perspectives in planning practices and decision-making processes, requiring a combination of top-down and bottom-up strategies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104202"},"PeriodicalIF":5.7,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783630","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":"The Trans-Caspian Corridor – Geopolitical implications and transport opportunities","authors":"J. Rentschler,&nbsp;A. Reinhardt,&nbsp;R. Elbert,&nbsp;D. Hummel","doi":"10.1016/j.jtrangeo.2025.104211","DOIUrl":"10.1016/j.jtrangeo.2025.104211","url":null,"abstract":"<div><div>Recent geopolitical developments, including the Russia-Ukraine war, the US-China trade war, and China's Belt and Road Initiative, have significantly altered the transportation landscape of Central Asia. Traditional corridors like the Trans-Siberian Corridor through Russia have become less viable, accelerating the rise of new alternatives, such as the Trans-Caspian Corridor (TCC). This corridor, connecting Asia and Europe via Kazakhstan and the Caspian Sea, has emerged as a geopolitical tool for nations seeking to diversify trade routes and reduce dependency on the traditional maritime trade route and Russian influence.</div><div>This study investigates the TCC, which remains largely underexplored in academic research. Employing an inductive qualitative research approach, we conducted 14 in-depth interviews with logistics companies and political authorities from Central Asia and Europe. Our analysis identified five key stakeholder groups and their geopolitical codes in shaping the TCC amid a shifting geopolitical context. We also examined five areas of strategic interest that drive the corridor's development: current and lasting interest, infrastructure and equipment, standardization and digitization, cooperation and coordination, and spillover effects.</div><div>The findings offer valuable real-world insights into the geopolitical significance of the TCC, contributing to the scarce body of research on the corridor. The study highlights how the TCC not only serves as a transport route but also as a strategic instrument for geopolitical influence. Based on this analysis, we propose research propositions and areas for further investigation, laying the groundwork for future analysis of the TCC's role in Eurasian geopolitics and connectivity.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"125 ","pages":"Article 104211"},"PeriodicalIF":5.7,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747549","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 rail users' mode choice behavior for first and last mile travel","authors":"Seung Jae Lieu,&nbsp;Gulsah Akar","doi":"10.1016/j.jtrangeo.2025.104214","DOIUrl":"10.1016/j.jtrangeo.2025.104214","url":null,"abstract":"<div><div>The first and last mile (FLM) travel is a challenge that affects urban rail usage and in some cases increases dependence on personal vehicles for accessing transit nodes. While previous studies have explored FLM travel, there is limited research that thoroughly examines the influence of street-level built environment factors on mode choice behavior and how these factors affect groups based on car dependency. This study analyzes rail users' mode choice behavior in Atlanta, focusing on socio-demographic traits, built environment, and trip characteristics. The study explores the varying impacts of these factors on two distinct groups: those with and without access to private cars by conducting segmented models. This nuanced approach helps explain why one may opt for walking or taking transit, even though they may have access to a car. Pooled model analyses confirm the significance of these factors in determining mode choice, with parking availability surprisingly not influencing car use. Segmented model results reveal that bus-specific factors, such as service frequency, number of transfers, fare discounts, and bus stop accessibility, significantly influence bus usage for both FLM travel, notably even among individuals with access to cars. Additionally, the greenery and building-to-street ratio along streets enhance walking appeal. By improving these aspects, urban planners and policymakers can effectively encourage the use of sustainable FLM travel options, thereby enhancing urban mobility and reducing the reliance on private vehicles.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"125 ","pages":"Article 104214"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748269","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":"Investigating dual-directional collective human mobility patterns of place-level incoming and outgoing travel behaviors using big data","authors":"Long Chen ,&nbsp;Yi Lu","doi":"10.1016/j.jtrangeo.2025.104215","DOIUrl":"10.1016/j.jtrangeo.2025.104215","url":null,"abstract":"<div><div>Collective human mobility is an important phenomenon within defined geographic areas for specific mobility patterns. Studies have been conducted to understand human mobility patterns and the determinants, including the built environment, and socioeconomic factors. However, there is a dearth of systematic investigation focusing on the dual-directional nature of collective human mobility in places, referring to both incoming and outgoing mobility behaviors. This study addresses this gap by analyzing mobility density, dwell time, and trip distance of both incoming and outgoing travel behaviors using mobile phone big data in 165,181 census block groups in U.S. cities in 2019. As the results show, built environment features usually demonstrate greater explanatory power than socioeconomic variables, highlighting their vital roles in shaping human mobility. Specifically, built environment characteristics, including developed open space, population density, employment diversity, street intersections, walkability, transit service, and destination accessibility, are noticeably associated with collective mobility patterns in terms of incoming and outgoing density, dwell time, and distance. Socioeconomic variables, such as the proportion of older adults, Black individuals, household income, commuting mode choices are also significantly linked to specific mobility patterns. We also suggest policy implications for built environment interventions to support sustainable place-level human mobility.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"125 ","pages":"Article 104215"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748270","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":"Spatial-temporal insights into gender gaps in East Asian ride-hailing: Workload, efficiency, nighttime safety, and operational patterns","authors":"Chutian Zhuang ,&nbsp;Tianqi Gu ,&nbsp;Hyungchul Chung ,&nbsp;Muyi Zhu ,&nbsp;Daniel Yonto","doi":"10.1016/j.jtrangeo.2025.104213","DOIUrl":"10.1016/j.jtrangeo.2025.104213","url":null,"abstract":"<div><div>This study investigates gender differences in the operational strategies of ride-hailing drivers in Suzhou, China, using identity-confirmed trip data from October 2023. Four novel operational metrics (workload, earning capacity, operational efficiency, and willingness to work far from home) were developed to quantify gender-based operational preferences between male drivers and female drivers, who were further divided into age groups. The Geographically Weighted Random Forest (GWRF) model was applied to examine spatial correlations with socioeconomic and built environment factors in order to understand the spatial and temporal preferences of the drivers. Statistics reveal only 5 % of the drivers are female and within that fewer (5 %) are young female drivers. Spatial-temporal analysis indicated that female drivers generally work shorter distances, earn less, and prioritize trips closer to home, which may be influenced by family caregiving responsibilities, but exhibit similar operational efficiency (indicated by revenue per hour) as male drivers under comparable demand conditions. Age gaps are further observed among female drivers: senior female drivers worked significantly longer during holidays but avoided nighttime operations similarly to younger females, reflecting the former group's heavier financial burdens related to family responsibilities and shared safety concerns with the latter. The results of GWRF show little impact of street safety on daytime pick-up locations across genders which is different than Western contexts. However, nighttime spatial preferences significantly differ among younger female drivers compared to older and male drivers, reflecting higher safety concerns. These insights inform platform operators to prioritize order allocation near female drivers' residences and improve safety measures, thereby supporting gender equity and inclusivity at a government level.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"125 ","pages":"Article 104213"},"PeriodicalIF":5.7,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725656","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}