Journal of Transport Geography最新文献

{"title":"Geospatial resilience of shipping alliances: Navigating the Red Sea crisis","authors":"Dong Yang ,&nbsp;Xiang Yue ,&nbsp;Wei Yim Yap","doi":"10.1016/j.jtrangeo.2025.104254","DOIUrl":"10.1016/j.jtrangeo.2025.104254","url":null,"abstract":"<div><div>In recent years, various disruptions have had widespread effects on the shipping industry, making the resilience of shipping companies increasingly crucial. Limited research has linked resilience with the operational strategies of shipping alliances. This paper addresses this gap by proposing a framework that describes how alliances adjust their operations at a spatial level in response to crises, using the Red Sea crisis as a case study. By leveraging extensive shipping satellite data, data mining algorithms, and appropriately developed models, the response strategies, performance, and network characteristics of the three main shipping alliances are assessed. The findings reveal that during the crisis, the shipping networks of the alliances became significantly more dispersed, with alliances increasing their port skipping rates to maintain relatively stable schedule reliability. Ports in the Red Sea region were skipped the most, and other ports in Asia and the Middle East also showed some increase. Meanwhile, vessel allocation and port coverage remained relatively stable. We also discussed the possible relationship between response strategies and the performance of alliances and suggested that increasing port skipping can improve their performance during a crisis. This research provides insights into the resilience of shipping alliances when confronted with unexpected disruptions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104254"},"PeriodicalIF":5.7,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874197","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":"Nonlinear effects of built environment on ridesplitting ratio: Discrepancies across sharing motivations","authors":"Yite Sun ,&nbsp;Xiaobing Liu ,&nbsp;Rui Wang ,&nbsp;Yun Wang ,&nbsp;Xuedong Yan","doi":"10.1016/j.jtrangeo.2025.104255","DOIUrl":"10.1016/j.jtrangeo.2025.104255","url":null,"abstract":"<div><div>Ridesplitting consolidates passengers with similar routes, offering a sustainable alternative that enhances traffic efficiency, mitigates congestion, and reduces air pollution. However, currently the ridesplitting ratio remains low, with existing research inadequately addressing the combined effects of sharing motivations and built environment on its adoption. To address this gap, we develop a rule-based algorithm to infer ridesplitting motivations based on individual travel patterns, extracted from a massive set of observed ride-hailing data, the thresholds of which are determined by a time-based-sampling validation method. Employing eXtreme Gradient Boosting (XGBoost) models and partial dependence plots (PDP), we further analyze the nonlinear impacts of the built environment on the ridesplitting ratio across different user groups. Results indicate that our algorithm significantly outperforms k-means clustering in terms of accuracy, with company density at the destination being a key determinant of the ridesplitting ratio. Additionally, significant heterogeneity is observed in both travel patterns and the nonlinear effects of the built environment among different user groups. This study provides valuable insights on how governments and transportation network companies (TNCs) could promote ridesplitting services through strategic modifications based on the built environment.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104255"},"PeriodicalIF":5.7,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874196","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":"Discussing teleworking and travel implications in Barcelona from a gender perspective","authors":"Lucía Mejía-Dorantes ,&nbsp;Lídia Montero ,&nbsp;Jaume Barceló","doi":"10.1016/j.jtrangeo.2025.104251","DOIUrl":"10.1016/j.jtrangeo.2025.104251","url":null,"abstract":"<div><div>Two decades ago, information and communication technologies were expected to precipitate changes, manifesting in the reorganisation of mobility patterns. The pandemic led to a disruption in the established daily routines, prompting a surge in e-commerce, e-learning and remote working. However, reports indicate disparities in access to e-services and mobility reduction. Nowadays, the prevalence of e-commerce and the practice of remote work is indeed widespread but in-depth analyses are necessary. The objective of this study is to gain a better understanding of teleworking practices and their impact on everyday mobility considering individual's characteristics, such as gender, place of residence, family structure and other sociodemographic characteristics in the Metropolitan Region of Barcelona. This paper is based on a data-driven approach, based on sequence analysis of individual profiles and clustering techniques to examine the impact of teleworking on mobility choices and spatiotemporal patterns. Our results show that there are significant differences in teleworking practices according to the area of residence, education, and having young children in the household. Interestingly, gender does not play a determinant role as such, but rather as a combination of factors, including young children in the household or high educational level. Furthermore, this study highlights inequalities, individuals likely to have face-to-face working arrangements tend to have lower education levels, likely to live in poor-deserved public transport areas. The implications of this study are of relevance for transport and city planning policy interventions.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104251"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859055","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":"Resilience measurement and enhancement of population mobility network in Beijing-Tianjin-Hebei urban agglomeration under extreme rainfall impact","authors":"Na Zhao ,&nbsp;Yan Zhang ,&nbsp;Xinyan Chen ,&nbsp;Junjie Xiao ,&nbsp;Yuwen Lu ,&nbsp;Wei Zhai ,&nbsp;Guofang Zhai","doi":"10.1016/j.jtrangeo.2025.104253","DOIUrl":"10.1016/j.jtrangeo.2025.104253","url":null,"abstract":"<div><div>In the context of globalization and regional integration, population mobility has become a critical vector for inter-city connections, essential for the stability and prosperity of urban agglomerations. However, extreme rainfall can disrupt transportation network connectivity and inter-city population flow, potentially triggering chain reactions in social sectors, thereby threatening the sustainable development of urban regions. This study examines the resilience of population mobility networks in the Beijing-Tianjin-Hebei urban agglomeration using Unicom's Smart Footprint big data. Through complex network analysis methods, this study simulates a 100-year extreme rainfall scenario and develops a comprehensive resilience assessment model. The model incorporates perturbation factors specific to extreme rainfall conditions and lays the foundation for optimization and enhancement strategies. The study finds that the population mobility network of the Beijing-Tianjin-Hebei urban agglomeration would experience a relative efficiency decline of 26 % under extreme rainfall scenarios. Heavy precipitation causes a mobility decrease of 50 % or more across cities in the agglomeration, with declines exceeding 90 % in Tianjin and its surrounding areas. In contrast, Beijing maintains its central position in the network both before and after the heavy rainfall disturbance. Finally, in the analysis of network efficiency recovery, the prioritized restoration of Tianjin's urban nodes significantly enhances overall network efficiency. Due to its higher connectivity and superior flood control infrastructure, Beijing remains largely unaffected in the network before and after the heavy rainfall disturbance. These findings provide practical guidance for enhancing population mobility networks resilience in both the Beijing-Tianjin-Hebei urban agglomeration and similar urban regions facing extreme rainfall events.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104253"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858955","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 better parking provision: Insights from parking lot utilization analysis of Hangzhou, China","authors":"Wei Tang ,&nbsp;Liang Zheng ,&nbsp;Zhenyu Mei","doi":"10.1016/j.jtrangeo.2025.104247","DOIUrl":"10.1016/j.jtrangeo.2025.104247","url":null,"abstract":"<div><div>Parking provision is a key concern in parking planning and management. Policymakers and parking practitioners often over-supply parking due to fears of shortages, leading to inefficient and unstrategic allocation. There is limited understanding of how many existing parking spaces are used and what factors affect their use. Most past research has focused on residential or on-street parking, leaving travel-related parking, especially at the parking lot level, understudied. This study analyzes data from 2592 public parking lots with over 700,000 spaces in Hangzhou, China, to assess parking utilization and explore influencing factors. Using advanced machine learning techniques, including XGBoost and SHAP values, the study investigates nonlinear relationships between parking utilization and factors such as parking lot attributes, land use, urban accessibility, and trip factors. Results reveal a significant oversupply of parking in Hangzhou, with average parking lot utilization rates of 0.57 on workdays and 0.48 on non-workdays. 56 % of parking spaces remain unused during workdays, and 78.2 % of parking lots are oversupplied (utilization rate below 0.85). SHAP analysis shows that small-scale lots have higher utilization rates compared to large-scale ones. Heterogeneous land use leads to significant differences in utilization; facility aggregation increases utilization, while a high land use mix and good public transportation accessibility reduce it. Given the substantial amount of unused parking observed, this study emphasizes the need for better parking provision policies in cities. The findings offer policy implications for improving parking provision and promoting a sustainable urban parking market.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104247"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859058","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 role of parental involvement and gender on travel mode decisions to School in Bali, Indonesia","authors":"I. Made Sukmayasa ,&nbsp;Jaime Soza-Parra ,&nbsp;Dick Ettema","doi":"10.1016/j.jtrangeo.2025.104250","DOIUrl":"10.1016/j.jtrangeo.2025.104250","url":null,"abstract":"<div><div>Adolescence is marked by exploratory, risk-taking behaviours and gender-specific challenges that often involve parental involvement in travel decisions. This study examines the interplay between parental influence, gender, and travel mode choice in shaping school travel behaviours by analysing data from 2402 adolescents aged 12–18 in Bali, Indonesia. Explanatory factor analysis (EFA) was used to identify underlying latent constructs related to travel attitudes, and a multinomial logit (MNL) model was estimated to analyse the probability of choosing different travel modes while accounting for parental involvement, gender, and other individual-level characteristics. The findings show that grade, gender, school location, mode availability, parents' employment status, family income, and parental involvement influence travel mode decisions. The majority (55.62 %) of adolescents make travel decisions jointly with parents, with parental influence being more substantial in junior high school. Despite perceiving motorcycles as less safe than other modes, senior high school students are more likely to use these private vehicles. In particular, Boys prefer motorcycles as they are persuasive in convincing parents to grant them access, especially in areas with little societal pressure against underage driving. In contrast, girls are more likely to be escorted, aligning with parental preferences to avoid unsafe motorcycle use. Moreover, when parents are the primary decision-makers, gender differences in travel choices diminish as safety concerns take precedence, discouraging private vehicle use. These findings underscore the need for enforcing legal driving age limits, particularly during the transition to senior high school. Addressing this issue requires harmonising transport and school policies, strengthening traffic law enforcement, providing safer travel alternatives, ensuring secure school routes, and increasing parental oversight.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104250"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859059","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 accessibility measurement of urban fire stations considering multi-path characteristic of road networks","authors":"Jingjing Zhu ,&nbsp;Xiangdong Xu ,&nbsp;Xin Yang","doi":"10.1016/j.jtrangeo.2025.104248","DOIUrl":"10.1016/j.jtrangeo.2025.104248","url":null,"abstract":"<div><div>Given the travel time variability and potential disruptions in urban road networks, fire and rescue services may encounter unexpected response delays or even inaccessibility despite having the highest road privilege. This paper develops a multi-path accessibility measurement model tailored for fire stations (FSs). This model assesses the resilience of road networks surrounding fire and rescue systems by considering both the timely response requirement of fire and rescue services and the unique characteristics of multiple paths within road networks. The proposed model incorporates the availability of multiple road paths for fire vehicles as a strategic approach during the ex-ante stage to proactively address uncertainties inherent in road networks. By operating across three distinct levels, this model provides a comprehensive multi-path accessibility measurement of fire and rescue services in terms of their effectiveness at fire station - fire demand point (FS-FDP) pairs, spatial equity among FDPs, and resilience of FSs in navigating the challenges posed by uncertainties in road networks. The proposed model is applied to a realistic case study in Xuhui, Shanghai. Results indicate significant differences in the multi-path accessibility across three distinct levels, demonstrating the spatial inequity and disparity in the resilience of road networks surrounding fire and rescue systems. Meanwhile, we observe that the multi-path accessibility is greatly affected by road network density and travel time reliability. The proposed model can help identify the factors contributing to insufficient accessibility of fire and rescue services from the perspective of urban road network conditions, supplementing traditional accessibility measures to prevent misguided investments in fire and rescue facilities and guide the urban fire system planning.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104248"},"PeriodicalIF":5.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855957","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":"Network centralities and traffic safety in transportation networks: Evidence from the Amtrak railways","authors":"Shlok Kamat ,&nbsp;Satyam Mukherjee ,&nbsp;Tarun Jain","doi":"10.1016/j.jtrangeo.2025.104246","DOIUrl":"10.1016/j.jtrangeo.2025.104246","url":null,"abstract":"<div><div>Railway safety is crucial due to the significant human and economic costs of railway crashes. With more than 1000 accidents reported in the last decade in the United States, railway crashes along the Amtrak remain a major concern. This underscores an ongoing safety challenge that the industry must urgently address. How do network centrality measures explain traffic safety in transportation networks? In this work, we conduct an empirical investigation on the power and significance of the impact of four network centrality measures on the frequency of crashes in the USA's railway network. Leveraging two datasets on railway crashes at U.S. highway-rail grade crossings (HRGC) and Amtrak traffic from 2010 to 2020 and employing advanced spatial econometric models, we show that a station's weighted degree centrality (strength) and local clustering coefficient have no significant impact on the frequency of crashes. Interestingly, there exists a strong and positively significant effect of the weighted betweenness centrality and <em>k-</em>core index of the station on the number of crashes. In this analysis, a crash at an Amtrak station refers to an incident occurring at the nearest highway-rail grade crossing (HRGC) site. Our findings contribute to the growing body of research on transportation safety and offer valuable insights for policymakers and traffic analysts in identifying potential crash hotspots and enhancing safety interventions in the railway network.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104246"},"PeriodicalIF":5.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855956","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":"Analysis of ride-hailing service discontinuity: Links to built environment and public transportation","authors":"Hui Wang ,&nbsp;Xiaowei Hu ,&nbsp;Yantang Zhang ,&nbsp;Shi An","doi":"10.1016/j.jtrangeo.2025.104242","DOIUrl":"10.1016/j.jtrangeo.2025.104242","url":null,"abstract":"<div><div>The saturation of the ride-hailing market has intensified competition among drivers for ride requests, leading to a continuous decline in their satisfaction. Understanding the impact of built environment variables on drivers' access to services has become crucial. This study defines Ride-hailing Service Discontinuity (RSD) by weighting the transfer time and distance between two consecutive rides of drivers to quantify the difficulty drivers face in accessing services. This paper explores the effects of built environment variables on RSD in Hangzhou by integrating Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) clustering, Conditional Tabular Generative Adversarial Network (CTGAN) data augmentation, Light Gradient Boosting Machine (LightGBM) combined with SHapley Additive exPlanations (SHAP) explainable machine learning technique, and Stacking Ensemble Prediction. The results indicate that the impact of built environment variables on RSD exhibits regional variability and nonlinear effects. The nonlinear effects are manifested in two forms: similar nonlinear patterns with different thresholds and changes in nonlinear form. Threshold effects are widely observed in built environment variables, and some variables (e.g., Slope) exhibit consistent marginal contribution to RSD within a specific threshold range. In addition, the Stacking Ensemble Prediction is better at capturing the inherent relationships between variables and RSD, demonstrating higher prediction accuracy. In particular, when the performance of base models is moderate, the ensemble prediction performs better. This study provides a novel approach to understanding the impact of the built environment on ride-hailing from the driver's perspective.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104242"},"PeriodicalIF":5.7,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844107","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":"Active travel street intervention ideas in Malta: Evaluating citizen feedback using sentiment analysis","authors":"Karyn Scerri,&nbsp;Maria Attard","doi":"10.1016/j.jtrangeo.2025.104241","DOIUrl":"10.1016/j.jtrangeo.2025.104241","url":null,"abstract":"<div><div>Within the sphere of co-creation and experimentation and the promotion of sustainable urban mobility, urban living labs (ULLs) and digital engagement platforms have emerged as key methodological approaches and tools. This paper focuses on the context of a car-dependent island in the Mediterranean – Malta, where the introduction of active travel interventions is an essential but persistently difficult undertaking. The study aims to test a fully virtual method to better understand the perceptions of the islands' population of such interventions. The study deploys a Virtual Urban Living Lab (VULL), a purposely designed online participatory platform with interactive activities in which participants can give feedback on proposed intervention ideas and propose their own. The feedback was collected from 113 users over the span of a week in December 2023. Using sentiment analysis conducted through a large language model (ChatGPT 4), the findings from the VULL shed light on how the Maltese population perceives stakeholder-proposed ideas to re-design urban streets. A discussion on the main challenges and points of contention, and the positive features of the proposed intervention follows. The paper concludes with an overview of the policy-relevant feedback and the potential for urban planners and policymakers to use VULL and language models as tools for understanding public sentiment.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104241"},"PeriodicalIF":5.7,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834898","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}