Journal of Transport Geography最新文献

{"title":"Support for car-restrictive policies between individual affectedness, eco-consciousness, and fear of ecological gentrification. Evidence from a vignette analysis in Berlin","authors":"Katja Salomo ,&nbsp;Theresa Pfaff ,&nbsp;Lisa Ruhrort ,&nbsp;Franziska Zehl","doi":"10.1016/j.jtrangeo.2025.104441","DOIUrl":"10.1016/j.jtrangeo.2025.104441","url":null,"abstract":"<div><div>As cars account for about one sixth of all greenhouse gas emissions in Germany, a sustainable transformation of the German transport system is essential to combat climate change. However, effective policies to reduce private car use are often broadly unpopular. To better understand why, we conducted a representative survey of residents in two densely populated Berlin neighborhoods with extensive public transportation infrastructure in 2021 (<em>N</em> = 1041). With the help of the local municipality, we constructed three hypothetical scenarios (vignettes) of varying intrusiveness in restricting parking and other spatial privileges of private cars. We aim to identify the role of different individual-level factors for the acceptance of such policy measures: individual affectedness (habits of using private cars and other modes of transport), awareness of local problems caused by motorized private transport, general eco-consciousness, socio-economic status, and fear of rising rents in the neighborhood caused by the proposed policies. We find that individual affectedness, fear of rising rents, eco-consciousness, and, to a lesser extent local problem awareness explain about 56 % of the variation in residents' support for the policy. The socioeconomic status of residents (income, educational attainment, relative deprivation) is not an effective indicator of how they perceive car-restrictive policies. The fear of rising rents has not been widely acknowledged as a factor driving resistance to car-restrictive policies, and thus merits greater attention from both researchers and politicians.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104441"},"PeriodicalIF":6.3,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335227","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 spillovers in U.S. airport non-aeronautical revenue performance","authors":"Sen Wang ,&nbsp;Fecri Karanki ,&nbsp;Yi Gao","doi":"10.1016/j.jtrangeo.2025.104452","DOIUrl":"10.1016/j.jtrangeo.2025.104452","url":null,"abstract":"<div><div>Non-aeronautical revenue has become an increasingly vital component of airport financial sustainability, especially as airports face growing pressure to diversify income streams beyond traditional aeronautical sources. As airports expand retail, parking, and commercial services, competition for these revenue opportunities has intensified, particularly among airports in close geographic proximity. This study investigates the spatial interdependence in non-aeronautical revenue generation among 100 U.S. hub airports from 2010 to 2023. By applying the generalized spatial two-stage least squares method to the spatial Cliff-Ord type model, we identify negative spatial spillover effects in non-aeronautical revenue among neighboring hub airports. Our findings suggest that neighboring hub airports experience spatial competition for non-aeronautical revenue. We conduct a sensitivity analysis to assess the robustness of the negative spatial spillover effects, which remain consistent even after controlling for shared governance structures. By examining spatial interdependence among airports, this study extends the literature on airport competition into the non-aeronautical revenue domain. These findings highlight the need for airport authorities and policymakers to implement integrated strategies that explicitly incorporate spatial interdependencies across regional airport systems.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104452"},"PeriodicalIF":6.3,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335226","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":"Electric vehicle charging dissonance: Exploring how renters and multi-unit dwelling residents navigate limited charging access","authors":"Isrrah Malabanan ,&nbsp;Patrícia Sauri Lavieri ,&nbsp;Iderlina Mateo-Babiano ,&nbsp;Wahhaj Ahmed ,&nbsp;Jonas De Vos","doi":"10.1016/j.jtrangeo.2025.104453","DOIUrl":"10.1016/j.jtrangeo.2025.104453","url":null,"abstract":"<div><div>Electric vehicle (EV) charging infrastructure distribution primarily relies on early adopter data, overlooking challenges faced by later adopters, such as renters and multi-unit dwelling (MUD) residents, who may have different charging needs. These groups often face limited charging access, leading to a discrepancy between their desired and actual charging behaviours. We introduce the concept of <em>charging dissonance</em> to describe this discrepancy, drawing from the cognitive dissonance theory. This study (1) explores how charging dissonance manifests among renters and MUD residents, (2) examines user responses to this dissonance, and (3) evaluates the effectiveness and impacts of these responses through seven focus groups with current EV owners, prospective EV owners, and non-EV intenders in Greater Melbourne (Australia). Our analysis reveals that, first, charging dissonance often occurs when users cannot charge at home and must deliberately incorporate charging into their schedules. Second, users develop various responses to charging dissonance, including relying on less-preferred non-residential charging options, adopting workarounds like kerbside charging, and adjusting their activity-travel patterns to accommodate charging needs. Third, while some users alleviate dissonance through multitasking, others experience persistent dissonance due to schedule inflexibility. Users also rationalise charging difficulties by demonstrating willingness to adapt their behaviours for overall EV ownership benefits. Furthermore, in some cases, charging dissonance leads to undesired consequences like forgone trips, potentially triggering other travel-related dissonances. These insights underscore the need to streamline charging accessibility at rentals and MUDs and to provide non-residential charging alternatives that minimally disrupt user lifestyles to effectively support underserved groups in the EV transition.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"130 ","pages":"Article 104453"},"PeriodicalIF":6.3,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335225","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 spatiotemporal dynamic of metro ridership and the influence of built environment factors at the station level: A case study of Nanjing, China","authors":"Qvshun Wang ,&nbsp;Zhuanglin Ma ,&nbsp;Xing Yang ,&nbsp;Steven I-Jy Chien ,&nbsp;Shengrui Zhang ,&nbsp;Yifan Yin","doi":"10.1016/j.jtrangeo.2025.104440","DOIUrl":"10.1016/j.jtrangeo.2025.104440","url":null,"abstract":"<div><div>While previous research has examined the impact of built environment factors on urban rail transit (URT) station ridership, there has been limited focus on the spatiotemporal heterogeneity of these effects and the variation in ridership patterns. To address this gap, this study investigates the spatiotemporal relationship between URT station ridership and the built environment by integrating smart card data (SCD) with point of interest (POI) data. Using the Nanjing rail transit system in China as a case study, we apply the Gaussian Mixture Model (GMM) to classify URT stations based on hourly ridership data over ten consecutive weekdays. The Multiscale Geographically Weighted Regression (MGWR) model is then used to explore how the built environment influences various ridership patterns, including daily totals, peak hours (AM/PM), and boarding/alighting across different station types. The results show that GMM outperforms the K-means clustering algorithm, identifying six distinct station types. Furthermore, the MGWR model demonstrates greater reliability than both the Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models. It reveals that the variables influencing ridership differ between MGWR models, with single-function stations being affected by distinct factors, while mixed-use stations share common influencing variables. Moreover, the relative explanatory power analysis reveals that land use typically demonstrates the strongest explanatory power across most station types, while specific factors, such as residential amenities, office facilities, and shopping facilities, play dominant roles across different station types and time periods. This study contributes to understanding spatial variations in the relationship between station-level ridership and the built environment, offering empirical evidence for context-specific transit and land-use planning.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104440"},"PeriodicalIF":6.3,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145332610","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":"Optimization of heterogeneous emergency resources deployment considering road segment criticality under adverse weather","authors":"Rui Feng ,&nbsp;Qiang Feng ,&nbsp;Zhihao Qi ,&nbsp;Baozhen Yao","doi":"10.1016/j.jtrangeo.2025.104444","DOIUrl":"10.1016/j.jtrangeo.2025.104444","url":null,"abstract":"<div><div>The effective deployment of emergency resources under adverse weather is critical for maintaining road network functionality and enhancing transportation resilience. However, the spatial heterogeneity of road segment criticality poses a significant challenge to efficient resource deployment. To address this challenge, this study integrates road segment criticality into the emergency resource deployment process. Specifically, road segment criticality is quantified by integrating functional, structural, and resilience-based metrics, and synthesized using an entropy-weighted method. Subsequently, a multi-objective optimization model for heterogeneous emergency resource deployment is formulated, accounting for road segment criticality and the operational characteristics of resources across distinct response phases. The model aims to achieve three objectives: minimizing construction costs, maximizing road network accessibility, and ensuring effective coverage of critical road segments. The performance of the model is evaluated through a case study on Beijing's inner 4th Ring Road under adverse weather conditions. The effects of criticality thresholds, coverage distance, and facility capacity are further investigated through computational experiments. Results demonstrate that, compared to the baseline model that excludes segment criticality, the proposed criticality-based model reduces the number of facilities by 7.27 % while the compromise solution increases the coverage of critical road segments by 32.53 %. These findings emphasize that incorporating road segment criticality into the deployment model leads to more balanced and efficient resource allocation strategies.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104444"},"PeriodicalIF":6.3,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320520","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":"Spatiotemporal characteristics and influencing factors of connection and substitution relationships between shared E-bikes and public transit: A case study in Shenyang, China","authors":"Jiahao Bai ,&nbsp;Jianhong Ye ,&nbsp;Marco Diana","doi":"10.1016/j.jtrangeo.2025.104446","DOIUrl":"10.1016/j.jtrangeo.2025.104446","url":null,"abstract":"<div><div>Shared e-bikes interact with public transportation through connection and substitution, enhancing urban transportation services and user experience. However, the flexibility and speed advantages of shared e-bikes cause a significant substitution with public transit, thereby impacting public transit ridership and revenue. This study uses multinomial logit model to characterize connection and substitution behaviors between shared electric bikes and public transportation based on transactions data from Shenyang, China. Then, spatiotemporal analysis techniques and a generalized additive model are employed to explore characteristics and factors influencing connection and substitution interactions. Results show that connection and substitution behaviors respectively represent 12 % and 19 % of the total demand, with a concentration of substitution for commuting trips. Metro lines' layout and metro stations' proximity to the city center significantly affect connection demand, while business' density, bus stop density, trip locations, time savings, and travel distance significantly affect substitution demand. These findings can help city governments plan and maintain shared e-bike systems while avoiding negative impacts on public transit systems.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104446"},"PeriodicalIF":6.3,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320517","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":"Built environment's main and moderating associations with travel mode choice across trip purposes","authors":"Fajle Rabbi Ashik ,&nbsp;Christopher P. Barrington-Leigh ,&nbsp;Kevin Manaugh","doi":"10.1016/j.jtrangeo.2025.104434","DOIUrl":"10.1016/j.jtrangeo.2025.104434","url":null,"abstract":"<div><div>Limited research has simultaneously investigated both the main and moderating effects of the built environment on transport mode choice across various trip types. To fill this gap, we estimate the parameters of cross-classified random intercept and random slope logit models employing Bayesian inference. We use data on 97,564 trips taken by 76,819 residents of Montreal, Canada, and develop three models to analyze three specific types of trips: commuting, school, and non-work. Our results show that the built environment of a neighborhood affects the likelihood of car travel, not just among its residents but also among visitors. For instance, doubling the POI density of a neighborhood has a dual effect: a 2.60 % reduction in the likelihood of residents opting for a car for non-work travel, and a 4.20 % decrease for those traveling to the neighborhood for non-work purposes. The built environment also moderates the effect of sociodemographic variables on mode choice; for instance, though higher-income individuals generally tend to use their automobiles to commute, public transit or proximity to downtown reduces their use of private cars. The estimated main impact of the built environment is relatively homogeneous for commuting and non-work journeys but slightly different for school trips.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104434"},"PeriodicalIF":6.3,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320521","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 economic impacts of flood-driven transportation delays","authors":"Xinmeng Shan ,&nbsp;Qian Yao ,&nbsp;Jun Wang ,&nbsp;Jiahong Wen ,&nbsp;Mengya Li ,&nbsp;Paolo Scussolini ,&nbsp;Xuchen Wei ,&nbsp;Siyu Gao","doi":"10.1016/j.jtrangeo.2025.104436","DOIUrl":"10.1016/j.jtrangeo.2025.104436","url":null,"abstract":"<div><div>Besides direct damages, flood have indirect impacts on cities, an essential one being on transportation. Flooded road closures cause absences and delays for employees, with cascading impacts on business and community. This study estimates the indirect losses from commuting delays caused by flooding in the coastal megacity of Shanghai. Our framework includes modeling of commuting patterns, flood hydrodynamics, and wage loss. The results show that the commuting pattern in Shanghai exhibits core-periphery and multi-core interactions. Flood events in Shanghai significantly disrupt urban mobility and incur substantial economic losses. Average vehicle speeds decrease by 28 % to 54 % across 1/10-year, 1/100-year, and 1/1000-year flood scenarios, dropping as low as 22 km/h during the most severe floods. Accessibility is heavily impacted, with 47 % to 92 % of commuter connections lost due to 51 to 186 traffic zones becoming inaccessible. Economic losses range from US$3.7 billion to US$12 billion, with the highest losses concentrated in the central districts of Xuhui, Jingan, Huangpu, and Hongkou, where the dense commuter population and concentrated economic activities make them particularly vulnerable. Our analysis also indicates that climate change exacerbates the decline in commuting accessibility, leading to even greater economic and social disruptions in the future. The findings have significant implications for risk management and adaptation, and the methodology can be used to assess commuter delay losses from flooding in other coastal megacities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104436"},"PeriodicalIF":6.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320519","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":"Free transit for students to regain ridership: Users and boarding characteristics of LA Metro's GoPass program","authors":"Farzana Khatun ,&nbsp;Jean-Daniel Saphores","doi":"10.1016/j.jtrangeo.2025.104442","DOIUrl":"10.1016/j.jtrangeo.2025.104442","url":null,"abstract":"<div><div>The Los Angeles County Metropolitan Transportation Authority (LA Metro) started in October 2021 the largest free transit pass program in the U.S. to date. Known as GoPass, it serves students from kindergarten to community colleges in Los Angeles County, the most populated county in the U.S. Although many free transit pass programs have been created, few have been analyzed from the point of view of transit agencies (i.e., for the characteristics of their users and their impact on ridership). To address this gap, we first examine GoPass' contribution to LA Metro's bus boardings, before comparing selected characteristics of the students enrolled in GoPass in 2023 with census data. We find some opportunities for additional growth, including for female students. To understand GoPass usage, we estimated a generalized spatial regression model that explains annual GoPass boardings aggregated by census tract (detailed usage data are unavailable to protect the students' privacy) using a broad range of socioeconomic and built environment variables. Our results confirm the presence of strong spatial effects. We find that census tracts with more young males, more transit stops, mixed land use, and more participating schools accessible within 30 min by transit have more GoPass boardings. Conversely, the number of GoPass boardings decreases with more access to private vehicles, property crimes, multifamily units, and a higher population density. A better understanding of the characteristics of GoPass users and GoPass usage is useful to improve GoPass and to inform transit agencies interested in creating similar programs.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104442"},"PeriodicalIF":6.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320518","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":"Space–time prism and accessibility in multi-state supernetwork: a lens for locating mobility hubs","authors":"Jing Qin,&nbsp;Feixiong Liao","doi":"10.1016/j.jtrangeo.2025.104439","DOIUrl":"10.1016/j.jtrangeo.2025.104439","url":null,"abstract":"<div><div>There has been increasing research on the design of user-centric mobility hubs to enhance urban connectivity. However, limited studies have addressed the importance of space–time accessibility in the selection of mobility hub locations. This study proposes an optimization model that incorporates monetary budget and hub service area constraints to determine the optimal locations for mobility hubs of varying service levels. The model is grounded on space–time prism modeling in multi-state supernetworks, which integrates individual multimodal and multiactivity trip chains. To maximize population-level space–time accessibility, an efficient adaptive iterated tabu search method is developed. A case study in the Rotterdam–The Hague Metropolitan Area (the Netherlands) is conducted to validate the proposed model. The results demonstrate that the model effectively identifies mobility hub locations that altogether enhance population-level space–time accessibility. It is also found that budget and service coverage constraints have significant impacts on hub configurations.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"129 ","pages":"Article 104439"},"PeriodicalIF":6.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320516","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}