Journal of Urban Mobility最新文献

{"title":"Media influence, trust, and perceived risks in passengers’ intentions to discontinue the ride-hailing services in Lahore, Pakistan","authors":"M. Aamir Basheer ,&nbsp;Aqsa Mehmood ,&nbsp;Farrukh Baig ,&nbsp;Muhammad Abdullah","doi":"10.1016/j.urbmob.2025.100137","DOIUrl":"10.1016/j.urbmob.2025.100137","url":null,"abstract":"<div><div>The popularity of ride-hailing services has gained momentum in recent years in developing countries due to the lack of proper public transport infrastructure to meet travel demand. However, security and safety issues may influence customers’ willingness to use ride-hailing services. To understand passengers’ intentions to discontinue the use of ride-hailing services, this study developed twelve hypotheses. Using partial least square structural equation modeling, the hypotheses of this study were tested using data collected from Lahore, Pakistan, through a questionnaire survey. Results highlight the factors contributing to discontinuing ride-hailing services, including trust, attitude, psychological risks, functional and financial risks, media influence, and shared prosperity. According to the results, psychological and perceived financial and functional risks significantly positively affect intention to discontinue ride-hailing services, while trust negatively affects users intending to discontinue services. Besides, media influence also positively affected the intention to discontinue the usage of ride-hailing services. The findings of the study indicate the need for new marketing strategies to tackle negative views in the media about ride-hailing services. The study also highlighted the need to develop passengers’ trust in ride-hailing platforms and the drivers to discourage the shift from using ride-hailing services. The study provides valuable insights for service providers and policymakers to encourage the usage of ride-hailing services.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"8 ","pages":"Article 100137"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pedestrian stress perception in the age of e-scooters: An epistemological and thematic analysis of Tel Aviv","authors":"M. Specktor ,&nbsp;Y. Shiftan","doi":"10.1016/j.urbmob.2025.100145","DOIUrl":"10.1016/j.urbmob.2025.100145","url":null,"abstract":"<div><div>As cities integrate e-scooters in line with the World Economic Forum’s vision for livable, sustainable urban environments, pedestrians are increasingly confronting new challenges in shared spaces. This study takes a multidisciplinary perspective and an epistemological approach to explore the cognitive and emotional aspects of pedestrian experiences with e-scooter traffic. By using stress perception as a key measure, the focus shifts from traditional safety concerns to wider considerations of emotional well-being in urban mobility. This research may help shape more inclusive, accessible, and pedestrian-friendly urban active mobility systems.</div><div>Prompted by concerns from the Tel Aviv Municipality and the Israeli National Road Safety Authority, 192 survey responses were analyzed. Findings show that 70% of participants consider pedestrian separation and sidewalk width important, highlighting challenges in navigating mixed-use paths. About 60% cited micromobility paths and road traffic as stressors, often seen as beyond pedestrian control. Although less immediate than factors like shade or air pollution, these elements impact walking experiences. Older participants emphasized accessibility, and women reported increased stress in crowded areas. Preferred solutions include wider, shaded, and well-lit sidewalks, dedicated micromobility lanes, and policies aimed at improving safety and easing pedestrian stress.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"8 ","pages":"Article 100145"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lane merging in autonomous vehicle urban driving using reinforcement learning models","authors":"El houssine Amraouy ,&nbsp;Ali Yahyaouy ,&nbsp;Hamid Gualous ,&nbsp;Hicham Chaoui ,&nbsp;Sanaa Faquir","doi":"10.1016/j.urbmob.2025.100150","DOIUrl":"10.1016/j.urbmob.2025.100150","url":null,"abstract":"<div><div>Autonomous vehicle lane merging is a critical task in urban driving, requiring precise navigation through complex and dynamic traffic environments. Challenges such as roadworks, lane reductions, merging from gas stations, low-visibility conditions, and crowded highway on-ramps demand continuous improvements in autonomous driving systems. Effective navigation in these situations, particularly at multi-lane junctions, merging onto high-speed roads, avoiding obstacles, and managing emergency vehicle lanes, requires robust decision-making that can adapt to changing road conditions. This paper compares three popular reinforcement learning (RL) algorithms—Proximal Policy Optimization (PPO), Advantage Actor-Critic (A2C), and Deep Q-Learning (DQL)—to address these challenges. Our findings show that in environments with specific decision points, DQL excels in tasks like lane reduction and obstacle avoidance due to its value-based approach. The A2C model, as an actor-critic policy, is particularly effective in dynamic environments, enabling the optimization of urban traffic control and merging at roundabouts. PPO, known for its policy optimization capabilities, offers a robust solution by balancing safety, efficiency, and adaptability, particularly in complex situations such as high-speed merging and low-visibility conditions. The simulation results confirm that DQL, A2C, and PPO collectively enhance autonomous vehicle performance by improving navigation capabilities, increasing safety, and adapting more effectively to the complexities of urban traffic environments. This work contributes valuable insights into the application of RL for real-world autonomous driving, providing a detailed comparative evaluation that supports the selection of algorithms tailored to specific driving tasks.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"8 ","pages":"Article 100150"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven methodology for identifying vehicle-to-grid parking regions in urban areas","authors":"Antonio Comi,&nbsp;Eskindir Ayele Atumo","doi":"10.1016/j.urbmob.2025.100161","DOIUrl":"10.1016/j.urbmob.2025.100161","url":null,"abstract":"<div><div>The transition of mobility to electrification resulted in a surge of electric vehicles (EVs) and an imbalance in demand and supply of electricity. In remedy, vehicle-to-grid (V2G) technology has been developed to balance and optimize energy use by integrating EVs and the electric grid. However, its implementation requires understanding the spatial and temporal patterns of demand and aggregation of EVs. In light of that, this study devises a multistage methodology that implements a data-driven approach to identify potential V2G parking zones and develops a localized Poisson model to characterize influence factors of parking duration. A real-case scenario is investigated, and a potential region for V2G is identified based on aggregated parking characteristics through the use of floating car data (FCD). The characterization, in average terms, shows that a unit increment in building footprint area, population, and area of existing parking lots entails a positive but insignificant effect on the expected parking duration. Similarly, an increase in duration is found to be related to the number of: hospitality, entertainment, food and beverage activities; retail, service, and financial centers; education, science, and research centers. On the other hand, the density of roads, a higher number of cultural places, community, and medical facilities are found to reduce the aggregated duration. Overall, the findings are expected to offer a valuable resource for parking infrastructure planners and grid operators, and contribute to the small pool of literature on V2G vehicle aggregation.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"8 ","pages":"Article 100161"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Delineating potential DRT operating areas: An origin–destination clustering approach","authors":"Hussein Mahfouz ,&nbsp;Malcolm Morgan ,&nbsp;Eva Heinen ,&nbsp;Robin Lovelace","doi":"10.1016/j.urbmob.2025.100135","DOIUrl":"10.1016/j.urbmob.2025.100135","url":null,"abstract":"<div><div>Investment in Demand-Responsive Transport (DRT) has emerged as a sustainable transport intervention option for areas that are traditionally hard to serve by high frequency public transport. When used as a first- and last-mile feeder, DRT has the potential to reduce car dependency and enhance access to the wider network. However, many DRT schemes fail—often due to overly flexible, poorly targeted service areas that do not align with actual travel patterns, making efficient pooling difficult. While planners may already have a general sense of where DRT might be useful, there is limited guidance on how to identify precise operating zones based on spatiotemporal demand. This paper presents a method for identifying potential DRT service areas using spatial clustering of origin–destination (OD) flows. We apply the method in Leeds, UK, focusing on OD pairs with poor public transport supply and low potential demand. The approach identifies spatial clusters where demand is both underserved and sufficiently concentrated to support DRT operation. By narrowing service areas to zones where pooling is more likely and where DRT complements rather than competes with fixed-route services, the method helps address two key challenges in DRT planning. The results offer a reproducible, data-driven input for delineating preliminary DRT service areas—supporting strategic planning, integration with downstream agent-based models, and further refinement through local knowledge. The method provides a foundation for future work on designing DRT services that complement the public transport network, particularly in low-density urban peripheries.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"8 ","pages":"Article 100135"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Still on track for electrification? A qualitative comparative analysis of e-mobility policy mixes in 14 European cities","authors":"Tobias Held ,&nbsp;Lasse Gerrits","doi":"10.1016/j.urbmob.2025.100114","DOIUrl":"10.1016/j.urbmob.2025.100114","url":null,"abstract":"<div><div>A major concern for policymakers in European cities is to identify the right policy mix that promotes the diffusion of battery electric vehicles (BEV's). Existing research focuses mainly on the effect of fiscal policies at the national, aggregated level. Consequently, less is known about policy mixes that include monetary and non-monetary policies implemented at both the national and local level. Building on prior research, we deploy a two-step fuzzy-set Qualitative Comparative Analysis (fsQCA) of BEV policies in 14 European cities to identify policy mixes that successfully promote the urban adoption of BEV's.</div><div>We find two policy mixes that promote BEV uptake. First, recurring monetary and non-monetary policies that address behavioral aspects of BEV-usage at the local level in conjunction with monetary incentives for home and workplace charging points as well as on-street residential charging points successfully propel BEV uptake. Second, the presence of monetary incentives for home and workplace charging points, as well as on-street residential charging points in conjunction with policies disincentivizing conventional car usage promote the adoption of BEV's.</div><div>Our study shows that BEV policies must be tailored carefully across different policy levels and individually to BEV-user contexts in cities. QCA provides a helpful tool for evaluating BEV policy mixes.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"7 ","pages":"Article 100114"},"PeriodicalIF":2.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A framework for ranking potential cities for implementing emerging urban mobility technologies: A case study for eVTOL aircraft","authors":"Felix Spühler ,&nbsp;Kristian Siebenrock ,&nbsp;Ivan Terekhov ,&nbsp;Dirk C. Mattfeld","doi":"10.1016/j.urbmob.2025.100102","DOIUrl":"10.1016/j.urbmob.2025.100102","url":null,"abstract":"<div><div>Urban mobility is an important component of a well-functioning city. Moreover, it is an important sector that must be considered in the steady transition of cities. During this transition, new opportunities for mobility technologies are constantly emerging, as, for example, electric Vertical Take-Off and Landing (eVTOL) aircraft. However, due to various factors, not every new mobility technology is suitable for every city. Finding suitable cities for implementing such a technology is therefore a crucial task. In our research, we address the problem of evaluating and ranking potential cities in terms of their suitability for the deployment of a particular emerging mobility technology. For this, we introduce an index and a framework for evaluating and ranking these cities. In this framework, we apply the novel Urban Mobility Innovation Adaption (UMIA) index and the well-known Analytical Hierarchy Process (AHP) to evaluate and rank each city regarding a chosen mobility technology. In our case study, we evaluate and rank cities on deploying eVTOL aircraft. Our results indicate the effectiveness and validity of our framework and the index. Based on this, a comprehensive analyze can be conducted for the top-ranked cities instead of all potential cities. Thus, the framework can support in the decision-making process for implementing new mobility technologies, but also support city officials to assess the current state of their city.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"7 ","pages":"Article 100102"},"PeriodicalIF":2.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Hierarchy of Cycling Needs: Modeling the self-assessed propensity to bicycle","authors":"Rosa Félix ,&nbsp;Filipe Moura ,&nbsp;Kelly J. Clifton","doi":"10.1016/j.urbmob.2025.100130","DOIUrl":"10.1016/j.urbmob.2025.100130","url":null,"abstract":"<div><div>As car dependent cities desire a transition to more sustainable and healthful transportation systems, they need guidance on how to support the adoption of cycling. In this research we measure and model the key factors that lead to a progressive behavioral change towards cycling, using Lisbon as the case study. Based on stated responses from a survey (n = 1079), sub-groups of potential cyclists were identified based on sociodemographic information, cycling experience, and their self-assessed willingness to adopt bicycling. Three binary logit models were calibrated to model the probability to shift between behavior-change stages: from “Pessimist” to “Optimist”, then to “Enthusiast”, and, finally, to “Cyclist”. Results suggest that cycling infrastructure and equipment have a greater effect during the earlier stages of change, while facilities and practical needs have more impact during the middle stages. Finally, the individual’s social network and personal concerns and attitudes are crucial for the final push towards changing behavior and taking-up cycling. Based upon these results, a Pyramid of Cycling Needs is proposed, summarizing the hierarchy of needs to cycling. This framework informs which interventions and policies can have the greatest impact at each different stage of the transition to bicycling, and thus, raise cycling levels if those needs are made redundant. This research is a contribution towards understanding of how a city may transition to a higher cycling maturity level, by adopting an approach of targeted policies to different population groups who are willing to bicycle but have different needs.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"7 ","pages":"Article 100130"},"PeriodicalIF":2.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the key criteria for shared mobility providers in their evaluation of potential markets","authors":"Elnert Coenegrachts,&nbsp;Thierry Vanelslander,&nbsp;Ann Verhetsel,&nbsp;Joris Beckers","doi":"10.1016/j.urbmob.2025.100115","DOIUrl":"10.1016/j.urbmob.2025.100115","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Previous literature on shared mobility has primarily focused on the factors impacting user adoption rates to explain the diffusion of these services across urban areas. However, there is no research incorporating the providers’ perspective and exploring the determinants of their expansion strategies. This study addresses this gap by identifying and prioritising the contextual factors that shared mobility providers deem (un)important in selecting the appropriate markets to become active in.&lt;/div&gt;&lt;div&gt;It regards international business, economic geography and shared mobility adoption literature to establish a theoretical framework that steers the search for potential contextual factors influencing these decisions. These criteria are evaluated using pairwise judgements and calculating the principal eigenvector values, as featured in the analytic hierarchy process (AHP) analysis framework, in order to determine their relative importance. The distribution of the utility values indicates the level of agreement regarding the perceived (un)importance of a certain criterion.&lt;/div&gt;&lt;div&gt;The results indicate that shared mobility providers are mainly considering the local institutional context, such as the type of permitting procedure to enter a market and the required key performance indicators with regard to fleet redistribution, fleet availability and parking compliance; the transportation infrastructure, where dedicated infrastructure for active mobility and parking infrastructure for shared mobility is valued; socio-demographics, in particular population density and income; and the coopetition environment, where public transport is considered a complementary service. In contrast, they are less valuing a potential integration within a MaaS application, the conditions specific to an area, such as weather conditions, topography and the land use mix, and the national regulations possibly impacting their services.&lt;/div&gt;&lt;div&gt;The results for different categories of shared mobility services, including free-floating scooters, station-based bicycles and cars, highlight different focal points. Car sharing operators prioritise factors impacting the utility of private vehicles, such as parking regulations and infrastructure, and attach significant importance to the existing uptake of sustainable travel modes by citizens. Micromobility providers, on the other hand, tend to target densely populated and touristic areas and, scooter sharing operators specifically, locations with less strict service level requirements, particularly regarding parking compliance and fleet availability. Furthermore, station-based bike sharing companies focus on the available infrastructure for micromobility vehicles and the assigned role of shared mobility in local policy objectives. There is also a contrast in how providers consider competition and collaboration opportunities with public transport or public sharing schemes, with scooter companies mainly regarding the extent of comp","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"7 ","pages":"Article 100115"},"PeriodicalIF":2.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autonomous delivery robots: differences in consumer´s acceptance in the USA, Europe, and Asia","authors":"Mariana Montero-Vega ,&nbsp;Miquel Estrada ,&nbsp;Matthieu Prouvier ,&nbsp;Alexander Siebeneich","doi":"10.1016/j.urbmob.2025.100110","DOIUrl":"10.1016/j.urbmob.2025.100110","url":null,"abstract":"<div><div>Recent advancements in autonomous delivery robots have the potential to transform the current paradigm of urban freight transport, lowering operational costs and improving reliability and safety. However, there is limited information on how users across the world will perceive these upcoming solutions. The study aims to pinpoint the key features influencing current users and future users of autonomous delivery robots. It employs two statistical models based on a field study of 1344 e-commerce customers across Europe, Asia, and the USA to explain these characteristics.</div><div>An ordered logit model combines data from all three continents to give insights into the factors influencing global current demand for autonomous delivery robots. Additionally, three independent structural equation models, each focusing on a specific region were employed to analyze future demand, facilitating a comparison of key variables influencing potential usage across regions.</div><div>Individuals already familiar with ADR technology tend to show greater acceptance, influenced by factors such as its design, perceived environmental benefits in urban settings, and overall trust and good perception toward the technology. Across the three surveyed regions, ease of use consistently emerges as a shared priority. However, in Europe and the USA, cost considerations and the perceived risks associated with technology competence play a more significant role, while social influences strongly impact adoption in Europe and Asia.</div></div>","PeriodicalId":100852,"journal":{"name":"Journal of Urban Mobility","volume":"7 ","pages":"Article 100110"},"PeriodicalIF":2.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}