Travel Behaviour and Society最新文献

{"title":"Exploring the influence of socio-demographic characteristics on the intention to share private electric vehicle chargers","authors":"Yanghui Cao,&nbsp;Yuerong Zhang,&nbsp;Mengqiu Cao","doi":"10.1016/j.tbs.2025.101084","DOIUrl":"10.1016/j.tbs.2025.101084","url":null,"abstract":"<div><div>The increasing global adoption of electric vehicles (EVs) has led to significant pressure on the development of the charging infrastructure. In this context, prior studies have proposed the need to use private EV chargers via charging sharing services (CSS) as a complementary solution. This research position CSS as a potential transitional and long-term solution to the challenges of urban EV charging, particularly in areas with limited public EV chargers. The study extends the aforementioned nascent field of research by exploring the importance of socio-demographic characteristics in shaping London private EV charger owners intentions to share them. Through the analysis of survey data and utilising an approach that combines binary logistic regression and decision tree models, the research identifies key predictors of intentions to share chargers. The findings also highlight several characteristics that are more likely to influence charger owners’ intentions and the adoption of CSS. These include homeownership, a higher income, older age, substantial driving experience, and the presence of children. Targeted strategies can be implemented based on these findings to facilitate the use of charger sharing services in the future, thereby contributing to a more efficient EV charging network.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101084"},"PeriodicalIF":5.1,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262804","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":"Why do passengers use pooled-rides services? Social effects and implications for policy making","authors":"Mohamed Abouelela ,&nbsp;Alejandro Tirachini ,&nbsp;Emmanouil Chaniotakis ,&nbsp;Constantinos Antoniou","doi":"10.1016/j.tbs.2025.101072","DOIUrl":"10.1016/j.tbs.2025.101072","url":null,"abstract":"<div><div>App-based pooled–ride services transform how passengers plan and execute their trips. Even though there is extensive research on the travel behavior and user characteristics of some shared-mobility services, such as ride-hailing, bike-sharing, and scooter-sharing, the user characteristics of pooled-rides platforms have not received as much attention. This paper thoroughly analyzes the travel behavior effects and user characteristics of a new pooled–ride service, the Jetty platform in Mexico, based on a large-scale user survey (N = 2484). The service provides pooled–rides in different-sized vehicles, such as cars, vans, and buses. We characterize the top reasons to choose the pooled–rides service and the activities performed by users while traveling, using Logit and Hybrid choice models, and we perform sentiment analysis to extract patterns from the users’ open opinions about the service. Our findings confirm common shared-mobility user attributes while identifying characteristics unique to pooled rides. First, women are more likely to use pooled–rides, as they find a greater sense of security in this shared-mobility platform. Second, pooled–ride services replace complex multi-modal trips, increasing users’ convenience and job accessibility by reducing door-to-door travel time. Third, regarding the use of time while traveling, passengers more commonly use their smartphones or try to sleep while traveling, a finding possibly related to the increased comfort and security perceived in Jetty vehicles relative to the usual public transport alternatives in the city. Regarding research methods, choice modeling, and sentiment analysis are complementary tools to uncover different dimensions of travel behavior effects and quality attributes of a new shared mobility mode. From a policy perspective, we conclude that the analyzed pooled-rides platform is a step towards improving the quality of service for people who do not want (or cannot) travel by car and that having a more inclusive pooled-rides service requires the provision of subsidies to low-income travelers.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101072"},"PeriodicalIF":5.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255098","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 safety assessment planning strategy proposal within the context of sustainable Urban mobility Plans: How to account for Connected and Autonomous vehicles in safety analysis in the SUMP?","authors":"Stefano Coropulis ,&nbsp;Nicola Berloco ,&nbsp;Paolo Intini ,&nbsp;Vittorio Ranieri","doi":"10.1016/j.tbs.2025.101083","DOIUrl":"10.1016/j.tbs.2025.101083","url":null,"abstract":"<div><div>In the context of Sustainable Urban Mobility Plans (SUMP), when road safety assessments are dealt with, different future scenarios are considered weighing the positive impacts of the proposed strategies for improving the transport system and road safety, globally. However, while considering those future scenarios, until now, the chance that Connected and Autonomous Vehicles (CAVs) will be introduced in the market has never been accounted. Neglecting CAVs can provide misleading results in terms of safety assessment. In this study, a general framework about how to include CAVs in SUMP safety assessments is provided. The general framework, which relies on traffic simulations and algorithms to count conflicts, was tested on two-way two-lane rural roads within the Province of Bari (Italy), where a SUMP was recently developed but the possible introduction of AVs has not been accounted, as it is a common practice in SUMP drafting. Results provided by simulations show a dramatic crash reduction when the traffic is made only of CAVs, while more dangerous situations are highlighted in the case of mixed traffic. Therefore, some countermeasures to handle mixed traffic, such as e.g., reserved lanes for CAVs in case of new roads, must be found and provided for stakeholders and practitioners while dealing with planning strategies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101083"},"PeriodicalIF":5.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255097","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 blue-green spaces in shaping leisure jogging: explainable machine learning insights into jogging flow and duration","authors":"Wei Yang,&nbsp;Hong Chen,&nbsp;Jun Fei,&nbsp;Xuefeng Xie","doi":"10.1016/j.tbs.2025.101081","DOIUrl":"10.1016/j.tbs.2025.101081","url":null,"abstract":"<div><div>Blue-green spaces (BGS) play a vital role in promoting leisure activities and healthy lifestyles. While numerous studies have investigated the impact of BGS on physical activity, limited research has explored the nonlinear and interaction effects of BGS on outdoor leisure jogging, particularly regarding how these effects vary across jogging behaviors and temporal contexts. Therefore, we propose an interpretable machine learning framework integrating Gradient Boosting Decision Trees (GBDT) with SHapley Additive exPlanations (SHAP) to examine these complex relationships. Leveraging multi-source big data, we explore the nonlinear and interaction effects of BGS on jogging flow and jogging duration in Beijing, China. The results reveal several key findings as follows. (1) BGS factors contribute approximately 30%-40% to jogging behaviors, with stronger effects on duration than on flow, more significant impacts on weekends than weekdays, and heightened influence during morning peak periods. (2) Availability-related BGS indicators are more influential than visibility or accessibility factors. (3) All BGS variables exhibit nonlinear and threshold effects on both jogging flow and duration. (4) BGS variables show stronger interaction effects with accessibility indicators and sports amenities, whereas certain factors demonstrate heterogeneous effects across different behaviors and time periods. These findings offer valuable insights for urban planners to create targeted strategies that encourage leisure jogging and healthy living.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101081"},"PeriodicalIF":5.1,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240614","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":"How urban form shapes bike-metro integration: A multidimensional typology of usage patterns and accessibility inequities","authors":"Xiaozheng Sun,&nbsp;Xu Cui,&nbsp;Yanan Gao","doi":"10.1016/j.tbs.2025.101080","DOIUrl":"10.1016/j.tbs.2025.101080","url":null,"abstract":"<div><div>Dockless bike-sharing (DBS) systems have emerged as a transformative solution for urban mobility, addressing the “last-mile” challenge in public transit networks while promoting sustainable transportation. This study develops a novel multi-dimensional framework to examine the spatio-temporal dynamics and equity implications of DBS usage in metro station catchment areas through three integrated perspectives − temporal user behaviour patterns, spatial-functional land-use attributes, and contextual interaction mechanisms between cycling demand and urban environment factors. The analytical approach leverages spatial<!--> <!-->clustering, entropy-weighted temporal typologies, and<!--> <!-->comparative regression modeling, with geographically weighted regression demonstrating superior capability in capturing spatial heterogeneity of demand drivers compared to global models. Results reveal five distinct metro station typologies: (1) ultra-high-demand urban centers with balanced commuting and leisure trips, (2) weekend-oriented leisure hubs dominated by recreational travel, (3) moderate balanced-use stations<!--> <!-->serving mixed daily activities,<!--> <!-->(4) event-driven stations<!--> <!-->exhibiting temporal usage spikes, and<!--> <!-->(5) low-activity peripheral stations<!--> <!-->with minimal demand. Mixed land use and transit connectivity significantly enhance DBS integration, whereas scenic areas unexpectedly suppress usage due to inadequate cycling infrastructure. Critically, spatial equity analysis reveals pronounced disparities in DBS accessibility, with service distribution disproportionately favoring higher-income neighborhoods.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101080"},"PeriodicalIF":5.1,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240612","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":"Transportation access equity analysis in two US cities using Bayesian inference-based logsum compensating variation metrics","authors":"Omid Armantalab ,&nbsp;Jason Hawkins ,&nbsp;Md. Sami Hasnine","doi":"10.1016/j.tbs.2025.101073","DOIUrl":"10.1016/j.tbs.2025.101073","url":null,"abstract":"<div><div>This paper develops a Bayesian inference-based logsum approach to quantify transportation equity. Equity is a pressing issue in the transportation research space for both moral and research reasons. In the first instance, there is a moral imperative to provide an equitable transportation service to the entire population. In the second instance, a lack of appropriate data and analytic methods forms a barrier to comprehensive equity analysis. This study provides a quantitative analysis of transportation equity based on a robust compensating variation approach to accessibility. A Bayesian hierarchical model, parameterized in race and income variables, is used to generate distributions of net benefits or losses from transportation policy changes. The model is applied to two metropolitan areas in the United States: the San Francisco Bay Area (Metropolitan Transportation Commission-MTC region) and the Minneapolis-St. Paul Area (MetCouncil region). The datasets used for the MTC and MetCouncil regions consist of data from a 2018–2019 Transportation Network Company (TNC) survey and a travel survey conducted during the same period in 2018–2019, respectively. We not only display the distribution of net benefits or losses for each region and compare them, but also highlight the differences in distributional net benefits among racial groups for each transportation improvement scenario in both regions. Our findings show that, similar to previous studies, considering only the average change in logsum accessibility values fails to reveal the differences between racial groups, as their average values are very close. However, by plotting the minimum and maximum curves for all samples generated by the model, potential differences among the various racial groups can be clearly observed. As one example, for larger net benefits, the net benefits to Black residents of a 20% decrease in travel cost are greater in the MetCouncil region, with more variability in the probability of receiving net benefits compared to the MTC region.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101073"},"PeriodicalIF":5.1,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240613","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":"Unveiling the impact of micro-level visual features on urban congestion in Chicago","authors":"Mingyue Xu ,&nbsp;Qihao Weng","doi":"10.1016/j.tbs.2025.101079","DOIUrl":"10.1016/j.tbs.2025.101079","url":null,"abstract":"<div><div>Urban traffic congestion remains a persistent challenge in contemporary cities, with most existing research focusing on macro-scale built environment features such as land use and transport network and overlooking the visual and perceptual cues embedded in micro-scale streetscapes that influence real-time driving behavior. To address this gap, this study investigates the relationship between street-level visual features—captured from Google Street View imagery—and traffic congestion at the road segment scale in Chicago, U.S.A. Leveraging semantic segmentation and geographically weighted regression, we extract seven key visual features and examine their spatially varying associations with congestion intensity. We further propose a dual-pathway interpretive framework, distinguishing a physical-functional path (where visual features act as proxies for traffic-generating land use and street function) and a perceptual-behavioral path (where visual complexity and natural elements shape driver cognition and behavior). Our findings demonstrate that incorporating visual features significantly improves model performance, increasing the explanatory power by approximately 19 % compared to models using only macro-level variables. Visual elements such as buildings and vehicles are found positively associated with congestion in high-demand corridors, while features like sky visibility, trees, and sidewalks exhibit congestion—mitigating effects—not universally, but in specific visual and functional contexts as experienced by drivers. Importantly, these effects are spatially heterogeneous, reflecting variations in local land use patterns, street hierarchy, and perceptual environments, as captured from a driver’s viewpoint. This study highlights the value of integrating visual-perceptual attributes into urban mobility analysis and calls for context-sensitive transport planning that considers both structural and cognitive dimensions of the streetscape.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101079"},"PeriodicalIF":5.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212392","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":"From trajectory to behavior: Capturing individual travel details using an applet-based GPS tracking system","authors":"Yang Zhou ,&nbsp;Chao Yang ,&nbsp;Quan Yuan ,&nbsp;Xiaoyi Ma ,&nbsp;Fangyi Ding ,&nbsp;Tianren Yang","doi":"10.1016/j.tbs.2025.101078","DOIUrl":"10.1016/j.tbs.2025.101078","url":null,"abstract":"<div><div>Household travel survey data form the foundation of travel behavior modeling and transportation planning, yet traditional interview-based methods face significant challenges related to high labor costs and data quality limitations. Smartphone-based travel surveys have emerged as promising alternatives, but barriers to participation persist despite technological advances. This paper presents an innovative applet-based GPS tracking system designed to minimize participant burden through four integrated modules: (i) data collection via a freely-installed mini-program embedded within a widely-used social media platform, (ii) automated trip extraction using cloud-based algorithms, (iii) intuitive user interfaces for trip validation, and (iv) a comprehensive survey supervision platform. We evaluate this system through comparative analysis across three survey phases conducted in an urban district: an app-based pilot study, a traditional interview-based survey, and our applet-based field implementation. Results indicate that smartphone-based methods match interview-based methods in capturing trip chains, while significantly outperforming them in detecting multi-modal trip details. The applet-based survey approach also achieved notably lower recruitment rejection rates compared to the app-based method, demonstrating greater effectiveness in participant engagement. These findings underscore the feasibility and advantages of lightweight, participant-friendly smartphone-based travel survey methods, providing valuable insights for transportation research and planning practices.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101078"},"PeriodicalIF":5.1,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203948","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":"Vehicle automation, onboard environment, and in-vehicle time use: Findings from a stated choice experiment","authors":"Sailesh Acharya","doi":"10.1016/j.tbs.2025.101076","DOIUrl":"10.1016/j.tbs.2025.101076","url":null,"abstract":"<div><div>This study examines the impact of vehicle automation and onboard activities on travel mode preferences based on a stated choice experiment conducted among 696 visitors to US national parks. Several multinomial and mixed logit models were estimated to analyze preferences for human-driven vehicles (HV), autonomous vehicles (AV), and AVs with work and leisure interiors (AV-WL), and to calculate the associated value of travel time (VOTT). The estimated VOTT values for HV, AV, and AV-WL were $34.80, $31.10, and $29.90 per hour, respectively. The reduction in VOTT from HV to AV and further from AV to AV-WL indicates that vehicle automation and onboard environments have a tangible monetary impact on travelers’ perceived value of time. While in-vehicle activities did not significantly contribute to VOTT for HV, entertainment activities had a measurable impact on VOTT for AV and AV-WL. Although the results indicate that the influence of in-vehicle activities and onboard environments on AV adoption and associated VOTT is less substantial than expected, they highlight that vehicle automation, interior designs, and the propensity for in-vehicle activities and their usefulness are critical factors influencing mode choice decisions in the AV era. Furthermore, these findings suggest that a shift in activity travel patterns due to automation is unlikely unless suitable vehicle interiors are designed to support work and leisure activities. Thus, from a time-use perspective, vehicle automation may exacerbate the issue of larger car sizes, increasing energy consumption and space requirements as automated vehicles with favorable and more spacious interiors become more desirable.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101076"},"PeriodicalIF":5.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167828","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":"Street matters: Linking perceived street environment to older adults’ bike-sharing","authors":"Tanhua Jin ,&nbsp;Xiaobing Wei ,&nbsp;Long Cheng ,&nbsp;Kailai Wang ,&nbsp;Yanan Xin ,&nbsp;Frank Witlox","doi":"10.1016/j.tbs.2025.101071","DOIUrl":"10.1016/j.tbs.2025.101071","url":null,"abstract":"<div><div>Shared micromobility has established its role as a viable solution for sustainable transportation worldwide. Despite the widespread discourse on bike-sharing, there remains a paucity of research addressing its utilization among older adults (aged 65 and over). To this end, this research delves into the analysis of docked bike-sharing trip records in Chicago, aiming to understand the impact of land use and perceived street environment (derived from Google Street View Images) on the utilization of bike-sharing services among older adults at both the station and route levels. This study adopts the Extreme Gradient Boosting (XGBoost) method and interprets the results using Shapley Additive explanations (SHAP). Results show that older adults have specific preferences for different land use and perceived street environments when using shared bikes, differing notably from the general user population. Regarding land use effects, older adults are more likely to use shared bikes in areas with high mixed land use and more green spaces. Areas with more cycling lane density also increase older adults’ likelihood to cycle more. For perceived street environments, older adults are prone to streets with high enclosure and low sky openness levels. This research also finds that the route-level perceived street environment has more pronounced marginal effects in comparison to the station-level counterparts. Our findings can provide evidence-based guidance to transportation planners to develop age-friendly transportation systems, thus alleviating the potential inequalities in access to bike-sharing services.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101071"},"PeriodicalIF":5.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147886","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}