Travel Behaviour and Society最新文献

{"title":"How can metro-integrated multimodal travel substitute for ride-hailing trips in the era of mobility as a service?","authors":"Wenxiang Li ,&nbsp;Bo Liu ,&nbsp;Weiwei Liu ,&nbsp;Yang Yang","doi":"10.1016/j.tbs.2025.101214","DOIUrl":"10.1016/j.tbs.2025.101214","url":null,"abstract":"<div><div>The rapid growth of ride-hailing services has reshaped urban mobility but also intensified congestion, emissions, and car dependency, raising concerns about sustainability. The metro-integrated multimodal travel (MIMT), enabled by Mobility as a Service (MaaS) platforms, offers promising low-carbon alternatives by integrating metro systems with convenient access and egress modes such as ridesplitting, buses, cycling, and walking. This study aims to develop a pratical analytical framework to assess the substitution potential of MIMT for ride-hailing trips in the era of MaaS. First, a trip reconstruction method is proposed to generate ten types of MIMT alternatives under identical origin–destination (OD) conditions. Second, a multidimensional evaluation model is established to quantify substitution benefits by jointly considering cost savings, carbon emission reductions, and time delays. Third, an interpretable machine learning approach (CatBoost integrated with SHAP and PDP) is applied to identify the travel and built environment factors influencing substitution potential. A case study based on 837,503 ride-hailing trips in Shanghai indicates that 56.46 % of trips could feasibly be replaced by MIMT alternatives. On average, each substituted trip yields a comprehensive benefits of 13.83 CNY, comprising cost savings of 24.03 CNY and carbon emission reductions of 1.29 kg, at the cost of an average travel time increase of 17.51 min. The results further reveal that substitution potential is primarily driven by route nonlinearity, trip distance, and metro accessibility. Travel-related variables account for 61.11 % of explanatory power, while built environment features contribute the remaining 38.89 %. Sensitivity analyses demonstrate that travelers' transition from ride-hailing to MIMT is predominantly influenced by the value of time, with current carbon pricing exerting only a marginal effect. These findings highlight the role of MaaS in promoting multimodal integration and provide actionable insights for policymakers and platform operators to reduce ride-hailing dependency and advance low-carbon urban mobility.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101214"},"PeriodicalIF":5.7,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145822775","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":"Rail transit and travel satisfaction: Evidence from a natural experiment in Wuhan","authors":"Zhenhua Li ,&nbsp;Yi Lu ,&nbsp;Jingjing Wang ,&nbsp;Yihao Wu","doi":"10.1016/j.tbs.2025.101211","DOIUrl":"10.1016/j.tbs.2025.101211","url":null,"abstract":"<div><div>The impact of rail transit infrastructure on residents’ travel satisfaction and subjective well-being has gained increasing attention among researchers and policymakers. However, few studies have used longitudinal data to analyze the causal effects of rail transit systems on travel satisfaction and its underlying mechanisms. This study employed a natural experiment approach, using two waves of survey data (2020 &amp; 2021) from 422 participants in Wuhan, China, to assess the effects of a newly opened subway line on travel satisfaction. Applying a mixed-effects difference-in-differences (DID) method, we found that the new subway line significantly improved residents’ travel satisfaction after accounting for socio-demographic and travel attitude covariates. Mediation analysis revealed that this improvement was primarily driven by increased perceived accessibility to downtown and transit stops or stations, as well as a reduction in the number of out-of-home activities on weekends. Heterogeneous analysis indicated that the subway’s benefits are more pronounced among females, individuals under 60 years old, and those from middle-income households. These findings provide new causal evidence on the link between rail transit infrastructure and travel satisfaction, deepening our understanding of this complex relationship and offering practical insights for formulating strategies to improve urban residents’ quality of life.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101211"},"PeriodicalIF":5.7,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789607","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":"E-scooters in Qatar: Public perception, adoption intentions, and implications for urban mobility policy","authors":"Zahid Hussain ,&nbsp;Wael K.M. Alhajyaseen ,&nbsp;Mohammad N.H. Naser ,&nbsp;Qinaat Hussain ,&nbsp;Charitha Dias ,&nbsp;Miho Iryo-Asano","doi":"10.1016/j.tbs.2025.101215","DOIUrl":"10.1016/j.tbs.2025.101215","url":null,"abstract":"<div><div>Despite growing global interest in e-scooters as micromobility solutions, limited research has explored factors influencing their adoption in car-dependent, high-income contexts with extreme summer climates. This study addresses this gap through nationwide web-based survey in Qatar, where high private vehicle dependency, summer temperatures exceeding 45 °C, and limited cycling infrastructure as well as limited cycling culture create unique challenges for micromobility integration. The final sample consisted of 2736 respondents (339 e-scooter users and 2397 non-users), capturing usage patterns, demographic information, and non-users’ perceptions of public acceptance and intention to use e-scooters. Among current users, e-scooters were predominantly used for leisure and commuting, with males and notably, individuals without driving licenses using them frequently. Usage patterns differed between ownership types, with shared/rental users predominantly using e-scooters for leisure, while owned e-scooter users primarily used them for commuting. To examine non-users’ perspectives, structural equation modeling was used to assess influence of different factors on usage intention and perceived public acceptance. Findings revealed that regulatory and infrastructure support, along with social influence and preference, were the most significant predictors, while cost and service quality barriers negatively influenced usage intention. Importantly, perceived public acceptance strongly influenced personal intention to use, demonstrating that social legitimacy substantially shapes adoption even in car-oriented contexts. Sociodemographic analysis revealed that car ownership and higher income negatively predicted adoption, while non-license holders, non-Arab residents, and employed individuals showed significantly higher adoption potential. These findings offer valuable insights for policymakers and urban planners in developing targeted interventions to promote safe and sustainable integration of e-scooters. Such interventions include improved infrastructure, effective regulations, competitive pricing, enhanced service quality, and community engagement initiatives. While grounded in Qatar’s context, these findings can be generalized to urban environments globally characterized by high motorization rates, cultural preferences for private vehicles, challenging climatic conditions, and infrastructure limitations.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101215"},"PeriodicalIF":5.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786366","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 EV charging behavior: The impact of service experience and user heterogeneity","authors":"Ming Yao,&nbsp;Xinchun Lu,&nbsp;Shuchao Cao","doi":"10.1016/j.tbs.2025.101216","DOIUrl":"10.1016/j.tbs.2025.101216","url":null,"abstract":"<div><div>Electric vehicles (EVs) play a pivotal role in advancing sustainable transportation, with ongoing improvements in driving range and charging infrastructure reshaping user expectations—shifting focus from basic functionality to enhanced service experience. Therefore, to examine EV users’ charging behavior, a comprehensive questionnaire survey was performed in this paper. Based on the discrete choice modeling, a Binary Logit (BL) model under the assumption of homogeneous user preferences, and a Latent Class Logit (LC) model considering the unobserved heterogeneity are established. Key findings reveal that charging decisions are significantly influenced by state of charge (SOC), pricing, queueing time, and station accessibility, reflecting user sensitivity to both economic and service-quality factors. Additionally, individual characteristics including age, risk aversion, and ownership of fixed charging locations exert substantial moderating effects. Willingness-to-pay (WTP) analysis further demonstrates that users prioritize service enhancements over mere cost reductions. The LC model delineates two distinct user segments: Class 1 (37.7 %), comprising younger, cost- and efficiency-driven early adopters (predominantly male), and Class 2 (62.3 %), characterized by older, risk-averse users (with higher female representation) who prioritize reliability and initiate charging at lower SOC to mitigate uncertainty. The results underscore the importance of integrating service experience and user heterogeneity into EV infrastructure planning, which provides actionable insights for policymakers and stakeholders to develop tailored, user-centric charging solutions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101216"},"PeriodicalIF":5.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786069","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":"Long-distance travel impacts of automated vehicles: A survey of American households","authors":"Yantao Huang,&nbsp;Natalia Zuniga-Garcia,&nbsp;Kara M. Kockelman","doi":"10.1016/j.tbs.2025.101168","DOIUrl":"10.1016/j.tbs.2025.101168","url":null,"abstract":"<div><div>This study assesses long-distance (LD) travel demand in near-future scenarios where automated vehicles (AVs) are easily available. Stated and revealed preference data were obtained from 1,004 American adults. The survey includes questions about general LD trip-making behavior with AVs, after investigating the possibility of using AVs to substitute for respondents’ recent LD trips (over 75-miles one-way) prior to the COVID-19 pandemic. After cleaning and weighting the responses, respondents’ willingness to use AVs for a past LD trip are shared, and their future travel behaviors with AVs are explored via statistical models. Ordered logit regression model results suggest AVs would increase the trip-making frequency of high-income households, households with more children, and young people who are part-time employed. The multinomial logit model for overnight stopping suggests that high-income travelers prefer staying overnight in hotels, while young and solo-drivers are expected to more often stay overnight in moving AVs. Mornings departures are preferred for LD travel - both with and without AVs, but some travelers shift to later departures when AVs become available, particularly those who are employed full-time and/or have more children in their household. Results of the mode choice model for mid-range LD travel (200 to 500 miles) suggest those who are unmarried and/or employed full time prefer AVs, while those over age 65 do not. Car and AV cost are the most practically significant variables impacting people’s mode choices, and aircraft and AVs are more appealing than human-driven vehicles for trips over 500 miles long.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101168"},"PeriodicalIF":5.7,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759417","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":"Youths on the move: Social disparities in public transportation use among school students","authors":"Anastasios Skoufas,&nbsp;Erik Jenelius","doi":"10.1016/j.tbs.2025.101212","DOIUrl":"10.1016/j.tbs.2025.101212","url":null,"abstract":"<div><div>Public transportation (PT) plays a crucial role in catering to the mobility needs of school students. However, the disparities of PT travel characteristics among different socioeconomic groups have been underexplored. In this study, we explore disparities in PT usage, after-school activity participation, journey length, and on-board crowding among different socioeconomic groups as well as between different educational stages (primary, secondary). We specifically focus on <em>home-to-school</em> and <em>school-to-activity</em> PT journeys utilizing automated data sources (smart card data). Results from the case study of Region Stockholm show that travel time and crowding exposure vary across the case study area. Specifically, school students coming from areas with higher income levels, higher shares of cooperative housing, or lower vehicle ownership tend to need less time to travel to school. In terms of student categorization, secondary students with diverse socioeconomic backgrounds tend to travel longer to school compared to primary students. Concerning journeys to after-school activities using PT, results reveal that school students from areas with high vehicle ownership and education or lower employment levels, as well as students from suburban/rural areas, have lower odds of using PT. The findings can assist policy makers and PT agencies in designing more equitable and youth-friendly PT systems, improving access to schools and to after-school activity locations.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101212"},"PeriodicalIF":5.7,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732696","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":"Exploring different patterns of bike-and-ride trips and influencing factors using geographically weighted random forest","authors":"Zijian Yang ,&nbsp;Guocong Zhai ,&nbsp;N.N. Sze ,&nbsp;Hongliang Ding ,&nbsp;Nikolai Bobylev ,&nbsp;Hongtai Yang","doi":"10.1016/j.tbs.2025.101201","DOIUrl":"10.1016/j.tbs.2025.101201","url":null,"abstract":"<div><div>Numerous studies have examined the effectiveness of urban transportation planning policies such as park-and-ride, transit-oriented development, and multimodal transportation hubs in promoting public transit use. In the past decades, bike sharing, both dockless and docking systems, has been increasingly popular as a green transport mode, connecting to public transit. However, the influence of socioeconomic conditions, land-use factors, transport infrastructure, and station characteristics on bike-and-ride remains underexplored, particularly across different patterns of bike-and-ride. In this study, an integrated random forest (RF) and geographically weighted regression (GWR) model is applied to capture nonlinear relationships and spatial heterogeneity between bike-and-ride usage and explanatory variables, including socioeconomic variables, land-use factors, transportation infrastructure, and metro characteristics, based on the integrated bike sharing and metro ridership data in Chengdu, China. Additionally, a novel similarity metric, Dynamic Time Warping (DTW), is applied to classify the metro stations based on the temporal pattern of bike-and-ride trips at all stations. Hence, four clusters of metro stations with a varying pattern of bike-and-ride trips are established. The results show that the importance of determinants and their association with bike-and-ride vary significantly among different clusters of metro stations. This study proposes a fine-grained analytical framework for bike-and-ride, providing theoretical and empirical support for station function classification.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101201"},"PeriodicalIF":5.7,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731902","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":"Do Pedestrians Respond Differently to Perceived Vehicle Automation in Monitor-based and Head-Mounted immersive Experiments?","authors":"Vladimir Maksimenko ,&nbsp;Liting Yuan ,&nbsp;Prateek Bansal","doi":"10.1016/j.tbs.2025.101210","DOIUrl":"10.1016/j.tbs.2025.101210","url":null,"abstract":"<div><div>Due to limited historical data on interactions of pedestrians with autonomous vehicles (AVs), researchers commonly use stated preference experiments to study pedestrians’ perceived ease of interactions with AVs. Virtual reality implemented via head-mounted displays (HMDs) provides a three-dimensional representation of pedestrian–AV encounters that may enhance realism and elicit responses similar to those in real life. However, the mechanisms by which HMDs confer this advantage remain unclear. To this end, we systematically compare HMD-based and monitor-based experimental formats in their ability to capture behavioral, physiological (i.e., stress biomarkers), psychological (i.e., brain data), and self-reported measures of pedestrian-AV interaction. In a controlled within-subject design, we find that in the HMD condition, pedestrians’ initial trust in AVs translates into statistically detectable differences across these measures while pedestrians interact with AVs and human-driven vehicles; by contrast, the monitor-based condition, tested with the same participants and identical stimuli, fails to detect such effects. The greater immersion in the HMD condition is further supported by a higher propensity to look around (behavioral measure) and by increased cognitive load derived from neurophysiological signals, both of which indicate enhanced perceptual realism. These results underscore the value of immersive 3D experiments for studying pedestrian-AV interaction over 2D picture/video-based experiments.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101210"},"PeriodicalIF":5.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730668","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":"Who is willing to switch to a less-crowded metro route via feeder bus connections? A case study in Chengdu, China","authors":"Hongxia Yuan ,&nbsp;Zhongquan Qiu ,&nbsp;Han Xu ,&nbsp;Renbin Pan ,&nbsp;Yusong Yan","doi":"10.1016/j.tbs.2025.101202","DOIUrl":"10.1016/j.tbs.2025.101202","url":null,"abstract":"<div><div>Uneven crowding across metro networks, where some lines are severely congested while others remain underutilized, undermines passenger satisfaction and network efficiency. This study examines the potential of coordinated feeder bus services to divert passengers from overcrowded to less crowded lines, using Chengdu, China, as a case study. To assess passenger willingness to switch and capture preference heterogeneity, a stated preference experiment and latent class model were applied under scenarios where the current travel mode was either metro-walking or metro-bus. Two passenger classes were identified. Class A comprised mainly frequent commuters who used the metro at least three days per week. They were highly responsive to service attributes, willing to accept substantially longer metro travel to avoid crowding and transfers, moderate extensions to reduce cost, but only minimal increases in walking or bus access time. Class B, comprising low-frequency, off-peak, and non-commuting passengers, displayed strong inertia and switched only with clear improvements in comfort or walking access. Across scenarios, Class A, particularly metro-bus commuters facing severe crowding and multiple transfers, emerged as the group most likely to switch. Elasticity and sensitivity analyses for Class A further revealed that more severe crowding or transfers on the current route produce stronger switching effects: as crowding intensifies, larger discounts are required to divert passengers to worse alternatives, whereas only modest or no incentives suffice to attract them to better ones. Overall, the findings provide robust evidence that improving feeder bus accessibility can encourage commuters to shift to less crowded metro lines, particularly when combined with service enhancements and targeted incentives.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101202"},"PeriodicalIF":5.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736526","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":"Extracting socio-psychological perceptions for analysis of travel behaviours","authors":"Yanyan Xu,&nbsp;Panchamy Krishnakumari,&nbsp;Neil Yorke-Smith,&nbsp;Serge Hoogendoorn","doi":"10.1016/j.tbs.2025.101197","DOIUrl":"10.1016/j.tbs.2025.101197","url":null,"abstract":"<div><div>This article proposes an evidence-based policy recommendation framework integrating social media data and natural language processing methods, to support inclusive and efficient transport policy-making. Given that current research underscores the crucial role of both external and psychological variables in individual travel decisions, psychological features – such as beliefs, attitudes or values – are frequently used as latent variables for travel behaviour interpretation and travel choice modelling. However, user-centric policy recommendations based on dynamic psychological variables are still limited. Most studies rely on survey data, which neglects the urgent dynamic trend of user perception change and its underlying relationship with travel behaviour. Hence there is a lack of illustration on how these psychological variables can be further used at specific temporal and spatial levels for travel behaviour interpretation. This would be valuable to identify priorities for more targeted (sustainability and other) policies and interventions. In this article, we utilize sentiment analysis and dynamic topic modelling to represent the spatial–temporal variance of psychological features. Integrating with corresponding travel behaviour, we illustrate how these dynamic psychological features can distinguish travel dissonance, identify key motivations, and reflect urgent social demands at precise spatial–temporal levels. We demonstrate these advances in a case study in New York City from 2019 to 2022 using Twitter (X) data. A comparison with existing travel-related policies in the case study validates the feasibility of our framework to support evidence-based policy recommendations. We conclude by discussing the potential of this framework to support sustainable transport promotion.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101197"},"PeriodicalIF":5.7,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732698","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}