Journal of Transport Geography最新文献

{"title":"Exploring factors influencing first-mile and last-mile connections to public transport from car users' perspective: Evidence from Greater Accra, Ghana","authors":"Eugene Sogbe ,&nbsp;Susilawati Susilawati ,&nbsp;Graham Currie ,&nbsp;Chee Pin Tan","doi":"10.1016/j.jtrangeo.2025.104240","DOIUrl":"10.1016/j.jtrangeo.2025.104240","url":null,"abstract":"<div><div>Public transport is commonly considered a solution to car dependence, aiming to address environmental degradation and social problems which car dependence creates in cities. However, first and last-mile connectivity problems are significant barriers to public transport ridership. Addressing first-mile and last-mile barriers may well reduce reliance on private cars and lead to a corresponding decrease in motorisation rates. Existing research has explored these factors; however, significant gaps remain as the approach overlooks explicit and implicit nuanced user experiences, especially those of car users. The scaler and relative influence of factors impacting first-mile and last-mile access, how car users perceive these issues and their impact on car usage are gaps to be explored. This study examines the factors influencing first and last-mile connections to public transport among car users who also use public transport. This study employs a framework to address this gap, integrating Exploratory Factor Analysis, Importance Performance Analysis and paired sample <em>t</em>-test to explore the interplay of first and last-mile factors. Findings indicate that safety while accessing bus stops, security at bus stops, pedestrian pathways or infrastructure, and proximity of bus stops, among other factors, are critical for improving overall satisfaction with first and last-mile connectivity for car users using public transport. More individuals walked when there was no alternative mode of transport, and individuals were more likely to choose ride-hailing for safety and convenience reasons. Implications of the results on practice and future research are explored.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104240"},"PeriodicalIF":5.7,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820529","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":"Securing power grids and charging infrastructure: Cyberattack resilience and vehicle-to-grid integration","authors":"Hamid R. Sayarshad","doi":"10.1016/j.jtrangeo.2025.104231","DOIUrl":"10.1016/j.jtrangeo.2025.104231","url":null,"abstract":"<div><div>The increasing interconnectivity of power grids and electric vehicle (EV) charging stations exposes them to the ever-growing threat of cyberattacks. This paper proposes a multifaceted approach that addresses the interdependencies between power grids, charging stations, and EVs. We explore a new EV routing challenge that includes regulations for charging and vehicle-to-grid (V2G) discharging. We estimate charging demands by analyzing EV usage patterns, charging/discharging plans, charging station availability, and user preferences such as routing and driver anxiety. The study explores a new EV charging optimization scenario considering charging costs, traffic, travel time, and setup time. A vital aspect of the proposed model is its ability to facilitate bidirectional energy flow between EVs and the power grid. This strategy enhances grid stability and facilitates efficient energy management, with charging stations actively participating in load balancing, peak shaving, and grid stabilization during a cyberattack. Furthermore, we formulate a network interdiction problem that strategically removes specific links in the power network to prevent the spread of a cyberattack. The effectiveness of the proposed approach is evaluated through five case studies. The findings suggest that the proposed hybrid planning solution (Case 5) is the most effective strategy. It successfully achieves zero load-shedding, reduces the charging and discharging constraints for electric vehicles (EVs), and eliminates susceptible nodes.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104231"},"PeriodicalIF":5.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817050","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 neuro-fuzzy and deep learning framework for accurate public transport demand forecasting: Leveraging spatial and temporal factors","authors":"Shariat Radfar ,&nbsp;Hamidreza Koosha ,&nbsp;Ali Gholami ,&nbsp;Atefeh Amindoust","doi":"10.1016/j.jtrangeo.2025.104217","DOIUrl":"10.1016/j.jtrangeo.2025.104217","url":null,"abstract":"<div><div>Efficient public transportation requires innovative planning and operational strategies. Accurate demand forecasting is crucial, as it is influenced by complex, non-linear interactions of various spatial and temporal factors. This study proposes a neuro-fuzzy inference and deep learning models to predict public transport demand in Mashhad's traffic zones for enhanced operational planning. The model's flexibility allows the integration of diverse temporal and spatial variables. Four Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Long Short-Term Memory (LSTM) models developed with two datasets were evaluated and compared to each other. Datasets one and two contained all possible variables without pre-judging their impact, encompassing daily and yearly horizons, respectively. Datasets three and four employed the identified influential variables from previous datasets using the Random Forest algorithm, leading to faster processing and reduced error. Five statistical coefficients including MSE (Mean Squared Error), BIAS, R² (Coefficient of Determination), WI (Willmott Index) and NSE (Nash-Sutcliffe Efficiency were presented to evaluate the performance of the proposed models. The results showed that the LSTM neural network model in the short-term daily scale (MSE = 0.0006, BIAS = 0.9308, R² = 0.9047, WI = 0.7591, NSE = 0.9047) and the ANFIS model in the long-term annual scale (MSE = 0.0024, BIAS = 0.0229, R² = 0.9415, WI = 0.9730, NSE = 0.8738) achieved superior performance in predicting demand for bus and rail systems in Mashhad. This research's forecasting models enable planners to estimate public transport demand under varying utilization levels of urban uses in Mashhad, offering insights for both daily and annual horizons across different traffic zones.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104217"},"PeriodicalIF":5.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817053","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":"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":"Social inclusion in sustainable urban mobility plans (SUMPs): The case of shared mobility in Utrecht, the Netherlands","authors":"Jasmijn van der Craats ,&nbsp;Dea van Lierop ,&nbsp;David Duran-Rodas","doi":"10.1016/j.jtrangeo.2025.104234","DOIUrl":"10.1016/j.jtrangeo.2025.104234","url":null,"abstract":"<div><div>This article explores the social inclusiveness of Sustainable Urban Mobility Plans (SUMPs), a policy tool introduced by the European Commission to inspire local governments in developing long-term sustainable visions to address the mobility needs of everyone. The aim of SUMPs is to accelerate the shift to sustainable mobility and achieve the complete decarbonisation of European Mobility by 2050. While the rationale behind SUMPs is that local governments understand the needs of their inhabitants and visitors, concerns have arisen regarding their capacity to recognise socially disadvantaged groups, potentially exacerbating social inequalities. Socially disadvantaged groups are prone to transport poverty, limiting their access to essential services and societal participation. Using a mixed-method approach, we analyse the social inclusiveness of SUMPs, focusing on Utrecht, the Netherlands. We conduct a qualitative analysis of policy documents to provide contextual understanding and assess the inclusion of socially disadvantaged groups within SUMPs. Our findings indicate that SUMPs recognise diverse social groups, including individuals with disabilities, children, older adults, and low-income groups, and acknowledge shared mobility as a tool to reduce transport poverty. We then develop a social indicator based on the identified socially disadvantaged groups to compare their distribution with the availability of shared mobility services. These are mapped for both 2019 and 2023, drawing on the municipality of Utrecht's 2020 action plan for shared mobility, which explicitly emphasises the role of shared mobility in reducing transport poverty by improving their availability for socially disadvantaged groups. Our study highlights that neighbourhoods with low social indicators are concentrated in the outskirts of the city, whereas shared mobility services are predominantly available in the city centre. Consequently, the ambition outlined in the documents regarding shared mobility's potential to reduce transport poverty has not yet materialized in the real world. This study provides insight into the capacity of SUMPs to address social inclusion issues, offering valuable guidance for the development of effective and socially inclusive sustainable mobility policies in European cities.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"126 ","pages":"Article 104234"},"PeriodicalIF":5.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817052","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}