Journal of Transport Geography最新文献

{"title":"Locating in informally-developed spaces: Disentangling the spatial preferences of e-commerce logistics microhubs","authors":"Zuopeng Xiao ,&nbsp;Xiangyu Du ,&nbsp;Takanori Sakai","doi":"10.1016/j.jtrangeo.2025.104287","DOIUrl":"10.1016/j.jtrangeo.2025.104287","url":null,"abstract":"<div><div>The growing demand for first- and last-mile delivery services, driven by the boom in online retailing, makes it crucial to establish a network of microhubs with relatively high density. This need prompts an investigation into how parcel delivery companies (PDCs) balance the goals of increasing microhub density while minimizing facility costs in the deployment process. Although several studies have examined the spatial distribution of microhub locations, few have fully explored the heterogeneity of urban spaces, including formally- and informally-developed spaces, and how these influence microhub placement across different PDC types. Focusing on Shenzhen, this study uses near analysis and identifies the spatial types where microhubs are located across different parcel delivery company (PDC) types. Furthermore, a discrete choice analysis is performed to explore the factors that influence location selection. The results indicate that informally-developed spaces, characterized by low rental prices and loose administrative regulation, are preferred by most types of PDCs. However, the degree of preference for informally-developed spaces varies across different PDC types. Such preference is primarily driven by affordability in terms of rental costs and proximity to customers. Variations in these factors across PDC types, each with different historical contexts, result in distinct patterns of microhub location distribution. These findings provide insights that can inform policy and urban planning strategies regarding the management and development of informally-developed spaces.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104287"},"PeriodicalIF":5.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069002","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":"Needs and norms shaping the mobility of care of women in rural areas: A case study in the Alps","authors":"Carolina Chizzali ,&nbsp;Alberto Dianin ,&nbsp;Chiara Rabbiosi","doi":"10.1016/j.jtrangeo.2025.104288","DOIUrl":"10.1016/j.jtrangeo.2025.104288","url":null,"abstract":"<div><div>The mobility of care encompasses trips made to fulfil caregiving and domestic responsibilities, like escorting children, visiting seniors in need, or grocery shopping. Although it plays a prominent role in adults' daily life, the mobility of care is still limitedly explored and most studies focus on its role in large cities. Conversely, it is understudied in rural areas despite the significant challenges their inhabitants face, such as availability and accessibility of care amenities, coordination of work and care duties, or population aging. To address this research gap, our study explores the needs and norms shaping the mobility of care of women in rural areas, by focusing on a case study in the Italian Alps. Specifically, we explore the needs and norms that 1) foster or hinder the care mobility practices of rural female caregivers, and 2) encourage or discourage them to make care trips by collective or active transport. To this end, we use the framework of the Social Practice Theory to interpret the mobility practices described in 12 semi-structured interviews with as many rural female caregivers. The results show some overlaps with urban research and some (partially) novel findings. The latter concern e.g. the third-place value attached to care practices by rural caregivers, the influence of residential dispersion on rural care trips, or the potential chances and barriers of carpooling to decrease the dependency of rural care practices on private car. We use these findings to suggest potential future research directions about the mobility of care in rural areas.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104288"},"PeriodicalIF":5.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947908","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":"Stuck in the sustainable mobility transition: A spatial analysis of transport poverty risk in the Netherlands","authors":"Francesco Dalla Longa ,&nbsp;Peter Mulder ,&nbsp;Reinier Sterkenburg","doi":"10.1016/j.jtrangeo.2025.104266","DOIUrl":"10.1016/j.jtrangeo.2025.104266","url":null,"abstract":"<div><div>Mobility policies aiming to reduce the use of fossil fuel vehicles put households that cannot afford sustainable transport alternatives at risk of transport poverty - i.e. limited access to work, health-care, education and social relationships. We exploit a unique set of administrative microdata covering 98 % of all privately owned fossil fuel cars in The Netherlands to calculate and map in detail, for the first time, how many households are at this risk of ‘getting stuck’ in the transition towards sustainable mobility. We find that a small group (1–3 %) of highly car-dependent Dutch households is at risk of transport poverty. In comparison with the general population, households at-risk of transport poverty drive older cars, display higher shares of single-parent families, and rely more heavily on social benefits; two-thirds of them also deal with energy poverty. Transport poverty risk shares are highest in rural areas, but absolute numbers peak in medium-sized cities. Generic excise duty reduction policies (as applied in the Netherlands) prove ineffective in supporting the most vulnerable households. This calls for targeted policy measures, while the (sub)urban context of the majority of these households suggests that improving metropolitan public transport networks and stimulating the adoption of e-bikes among low-income groups could potentially alleviate transport poverty.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104266"},"PeriodicalIF":5.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947907","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":"Machine Learning driven complex network analysis of transport systems","authors":"Yuqin Xia ,&nbsp;Kewei Wang ,&nbsp;Purin Tanirat ,&nbsp;Bryan Lee ,&nbsp;Irene Moulitsas ,&nbsp;Jun Li","doi":"10.1016/j.jtrangeo.2025.104270","DOIUrl":"10.1016/j.jtrangeo.2025.104270","url":null,"abstract":"<div><div>A complex network is a system of interconnected nodes linked by edges, exhibiting non-trivial structural features such as community structure or scale-free distributions. This study develops a novel and generic Machine Learning-driven framework that integrates Complex Network Theory and Machine Learning methods for a comprehensive and multifaceted analysis of transport systems. Specifically, four key functional development and analysis are undertaken: 1) Network analysis, using complex network indicators to study the static properties of the transport systems; 2) Network clustering, employing K-means and hierarchical clustering methods to identify underlying community structures; 3) Network resilience, examining the networks' dynamic characteristics and structural evolution under escalating node attacks to evaluate their robustness; 4) Link and feature prediction, developing Graph Convolutional Networks (GCNs) and Multi-Layer Perceptron (MLP) models to predict hidden links and features. The proposed framework is subsequently applied to two distinct transport systems, namely, the China railway network and the Paris multi-modal transport system. The complex network analysis reveals distinct complex network features in network scale, density, and efficiency, yet both demonstrate a power-law distribution. The clustering analysis based on various node and edge properties exhibits a pattern of concentric circles, radiating outward from the urban to peripheral cities in China railway network, while a high density of short-distance connections within central Paris and a prevalence of long-distance connections in the outskirts. The network attack simulations show fine resilience of the Parisian multi-modal system and low resilience of the China railway network. For link prediction, an encoder-decoder model based on GCN and multiple MLPs are developed for various scenarios. The results for the China railway network reveal critical interregional links, emphasizing the need to strengthen regional connectivity, such as expanding the high-speed railway between Hainan Island and the mainland, and establishing a major transportation artery running from south to north. In the Paris transport system, this study predicts an interesting link extending from southern Paris eastward toward northern Seine-et-Marne, indicating a demand for a direct connection. For both networks, the hidden links are largely concentrated in more developed areas, likely driven by strong economic and social interaction demands, highlighting the need for more balanced transport network development. Overall, the results of this study align closely with existing literature and official transport development plans. This research contributes to the theoretical development in Complex Network Analysis using Machine Learning and offers valuable insight to improve the two transport systems.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104270"},"PeriodicalIF":5.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947903","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":"Characterizing global air cargo: A study profiling air cargo operations worldwide","authors":"Bernardo Puente-Mejia,&nbsp;Anne Lange","doi":"10.1016/j.jtrangeo.2025.104260","DOIUrl":"10.1016/j.jtrangeo.2025.104260","url":null,"abstract":"<div><div>Global and local economic growth, international trade trends, logistics infrastructure, and air transport operational characteristics are some of the main drivers affecting the transport of goods by air. Since many of these factors differ among countries and regions, they might define how air cargo flows across different markets. This study explores the characteristics of air cargo operations and introduces a new methodology for categorizing them into individual air cargo logistics archetypes. Considering a set of economic, operational, and infrastructure features, we profile air cargo transport in three steps: 1) selecting and studying relevant variables affecting air cargo operations through regression analysis, 2) clustering together countries of similar relevant characteristics by testing several clustering techniques and studying their origin-destination flows, 3) defining individual air cargo logistics archetypes of unique characteristics. Our results include a set of ten unique archetypes for the air cargo industry. We detail each archetype's predominant characteristics, highlighting the importance of and difference between express and general cargo operating modes. We also position our results with practical implications for private, public, and regional stakeholders.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104260"},"PeriodicalIF":5.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947906","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":"Modeling women's perceived level of safety at night in Milan","authors":"Federico Messa ,&nbsp;Lily Scarponi ,&nbsp;Lamia Abdelfattah ,&nbsp;Gerardo Carpentieri ,&nbsp;Valerio Martinelli ,&nbsp;Tonia Stiuso ,&nbsp;Andrea Gorrini","doi":"10.1016/j.jtrangeo.2025.104243","DOIUrl":"10.1016/j.jtrangeo.2025.104243","url":null,"abstract":"<div><div>This article outlines the data analysis and modeling processes of the perceived level of safety for women at night time in the city of Milan. This research effort consists of the final phase of the STEP UP project, which was aimed to assess walkability for women in Milan using geospatial data analysis methods and involved three phases: literature review, data collection, and data analysis.</div><div>The modeling of perceived safety proposed in this paper takes into consideration a wide set of geospatial data, acquired from open data and proprietary platforms, quantifying factors identified in the literature review, and the Wher app data, a crowdsourced dataset of women's self-disclosed perceived safety on the street network. These two sets of information are used to explore the relationship between the built environment and safety perception. Moreover, this article covers the processes of filtering the factors emerged from scientific literature, and the translation from concepts into operationalizable quantitative indicators. The process of identifying the relations between the safety factors and the perceived safety consisted in testing several statistical models, ultimately leading to the implementation of a Geographically Weighted Regression (GWR) model, which appeared as the most suitable for capturing the spatial heterogeneity of the factors.</div><div>The results of the project showed the presence of three statistically significant indicators, namely Public Lighting, Public Transport, and Food &amp; Beverage, and include the spatial variation of Local R2 and Beta coefficient values, allowing for the inference of site-specific phenomena and complexities. Overall, the approach proposed in this article aims to bridge the gap between subjective crowdsourced data and city characteristics data, proposing a layered methodology to fine-tune the association between factors relevant to safety and geospatial data. It also proposed a quantitative approach to model the nighttime safety perception of women in Milan, ultimately contributing to the overarching goal of paving the way for additional gender-inclusive mobility planning and research routes.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104243"},"PeriodicalIF":5.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947902","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":"A walker's paradise Ain't a driver's hell: Evaluating the causal effect of temporary road pedestrianization on traffic conditions of surrounding roads","authors":"Giancarlos Parady ,&nbsp;Makoto Chikaraishi ,&nbsp;Yuki Oyama","doi":"10.1016/j.jtrangeo.2025.104269","DOIUrl":"10.1016/j.jtrangeo.2025.104269","url":null,"abstract":"<div><div>This study uses a natural experiment approach to evaluate the causal effect of three regular road pedestrianization schemes in Central Tokyo on traffic conditions in surrounding areas. Cross-sectional traffic volume data collected by the Metropolitan Police Department via traffic counters was used as the dependent variable and causal effect evaluation was done via a difference-in-differences (DID) approach, where the temporal pedestrianization of a street was used as the treatment of interest. We take advantage of (1) the variability in pedestrianization execution days and (2) the seasonal variability in pedestrianization time periods, to define the natural experiments. Furthermore, three different buffer areas of 500 m, 750 m and 1000 m were used to evaluate the sensitivity of effect estimates to the definition of the impact area. No evidence of severe increases in traffic volume in the surrounding areas of pedestrianized roads was found, suggesting that human-centric network design is not necessarily a zero-sum game between pedestrians and drivers. While small increases in traffic volume of around 5 % and slight increases in congestion near pedestrianized links can be expected, these changes are unlikely to translate into worsening traffic conditions and can be managed by the existing road network in Tokyo.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104269"},"PeriodicalIF":5.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947901","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":"Shaping active transport behavior: The impact of public safety agencies and judicial institutions","authors":"Mengbing Du ,&nbsp;Wen Li ,&nbsp;Ning Qiu ,&nbsp;Xiaoyang Liu","doi":"10.1016/j.jtrangeo.2025.104261","DOIUrl":"10.1016/j.jtrangeo.2025.104261","url":null,"abstract":"<div><div>Active transport offers substantial health and environmental benefits. While existing research and practices have predominantly focused on behavioral interventions and infrastructure improvements, the role of the distribution of safety resources on residents' daily behaviors has been largely overlooked. This study explores how proximity to public safety agencies and judicial institutions affects residents' active transport behaviors by enhancing their sense of safety. The findings indicate that living closer to these agencies significantly increases active transport adoption. However, the impact is less pronounced for women, middle-aged adults, rural residents, and individuals with lower education and socioeconomic status who may face additional barriers and varying perceptions of safety. Our findings highlight the importance of a governance-driven approach to enhancing safety perceptions in promoting active transportation, expanding the theoretical framework by integrating governance with traditional behavioral and infrastructural perspectives. Such approaches are essential to ensure safety measures are effective, inclusive, and contribute to equitable improvements in public health and environmental sustainability.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104261"},"PeriodicalIF":5.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941401","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":"Determinants of rail freight transportation impact on port competition in West Africa","authors":"Emmanuel Anu Thompson,&nbsp;Pan Lu","doi":"10.1016/j.jtrangeo.2025.104286","DOIUrl":"10.1016/j.jtrangeo.2025.104286","url":null,"abstract":"<div><div>The reform of rail freight transport is currently underway in several African countries due to its critical role in port operations, which is driven by economic and geographical factors. Consequently, rail transportation has emerged as a pivotal factor influencing port competition, connecting seaports with inland ports and landlocked countries. Although extensive research studies exist on the global impact of rail freight on ports, Africa remains underrepresented in this body of literature. Therefore, this study seeks to evaluate the factors of rail freight transport that influence port competition in West Africa. It employs the novel fuzzy consensus building (FCB) method and the fuzzy analytic hierarchy process (FAHP). The FCB method is used to address and validate the importance of rail freight determinants, while FAHP is utilized to assign weights to prioritize the determinants. As a result, 14 determinants were selected and categorized into <em>Operational Efficiency</em>, <em>Market Dynamics</em>, <em>Infrastructure Systems</em>, and <em>Economic Factors</em>. Infrastructure systems emerge as the most significant category, with rail networks being the highest specific determinant. Interestingly, cargo type is found to be the least specific determinant. The findings are compared with those derived from the traditional Best-Worst Method, validated by expert inputs, and discussed for their insights and practical implications. Its findings are relevant for policymakers and practitioners in the railway, maritime industry, and African Continental Free Trade Agreement to facilitate smoother trade flows.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104286"},"PeriodicalIF":5.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941494","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":"Gender differences in mobility: Exploring the non-linear relationship in multiple contexts using decision tree algorithms","authors":"Shi Xian,&nbsp;Huiying Zhang,&nbsp;Jiamin Wang,&nbsp;Yu Chen","doi":"10.1016/j.jtrangeo.2025.104273","DOIUrl":"10.1016/j.jtrangeo.2025.104273","url":null,"abstract":"<div><div>As the promotion of gender equality has become the consensus of humanity, gender differences in mobility and its influential factors have been widely discussed. Existing studies have revealed significant gender difference in key mobility indicators. However, most discussions have been limited to single or limited contexts or scenarios and mainly focused on the linear relationships of variables. In addition, most studies were carried out in large cities in the Global North, leaving a research gap in developing countries and rural areas. Particularly, investigations that highlight the heterogeneity within female populations, especially marginalized subgroups, remain scarce. To address these gaps, this study focuses on gender differences in mobility and their influencing factors across diverse contexts and scenarios. Using disaggregated spatiotemporal activity data collected in Guangzhou from 2023 to 2024, we employ statistical analysis and decision tree algorithms to identify key indicators of gendered mobility and explore the non-linear effects of the influential factors. The findings reveal significant gender differences in key mobility indicators. In general, women exhibited more frequent trips, smaller travel ranges, and fixed activity locations than men. The introduction of diverse contexts and multiple scenarios is able to identify more details. In addition, the results confirm nonlinear effects of factors including household division of labor, mobility-related fears, access to mobility tools and personal socioeconomic status. The effects differ between men and women. More importantly, the significance and influence of these factors vary across scenarios. Internal heterogeneity within the female population is further identified, with marginalized subgroup facing greater mobility constraints, including low-income, low-education, suburban, and urban village women residents. The analytical framework of multiple contexts and the methodological approach have also been proven both effective and efficient, offering valuable insights for relevant studies. Grounded in feminist geography and spatiotemporal behavior studies, this research advances the understanding of gendered mobility differences in the complex urban-rural setting in developing countries. Its findings also provide policy implications for reducing gender disparity in mobility and fostering a more equitable and inclusive social environment.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"127 ","pages":"Article 104273"},"PeriodicalIF":5.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941400","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}