Travel Behaviour and Society最新文献

{"title":"Transition to electric motorcycle-based ride-hailing: User heterogeneity, perception, and pro-environmental habits","authors":"Muhammad Zudhy Irawan ,&nbsp;Muhamad Rizki ,&nbsp;Prawira Fajarindra Belgiawan ,&nbsp;Tri Basuki Joewono ,&nbsp;Hironori Kato","doi":"10.1016/j.tbs.2025.101180","DOIUrl":"10.1016/j.tbs.2025.101180","url":null,"abstract":"<div><div>The adoption of electric motorcycles (EM) for ride-hailing offers a promising solution to sustainability concerns in Southeast Asia. However, a gap remains in understanding the factors that influence user preferences for electric motorcycle-based ride-hailing (e-MBRH). This study aims to fill this gap by analyzing data from 418 MBRH customers in Yogyakarta, Indonesia. Using a latent class cluster analysis (LCCA), this study first categorizes MBRH customers according to their trip purposes, frequency, daily distance, and duration of use. It then employs an ordered hybrid choice model (OHCM) to investigate how socioeconomic factors, motorcycle availability, experience with EM, perceptions of EM, and post-COVID-19 pro-environmental habits affect the adoption of e-MBRH in each category. The LCCA results reveal that three groups of MBRH users exist: those who use it for irregular support trips, those who use it regularly for mandated activities, and those who use it occasionally for discretionary or maintenance activities. Notably, the OHCM results indicate that the users categorized in the last group are the most likely to adopt e-MBRH because their decisions are significantly influenced by symbolic and performance value, convenience, and their post-COVID-19 shift toward pro-environmental habits. To further encourage adoption among that group, effective policies should foster prestige- and performance-driven marketing campaigns, positioning e-MBRH as the premier choice for innovative, environmentally conscious urban mobility.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101180"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145492142","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":"2026-04-01","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":"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":"2026-04-01","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":"Choice Preferences for Urban Air Mobility: A Latent Class Discrete Choice Model with Mixed Logit Extensions","authors":"Hong Zhang ,&nbsp;Xiangrong Xue ,&nbsp;Guocong Zhai ,&nbsp;Hongtai Yang ,&nbsp;Xiaozhao Lu ,&nbsp;Christopher R. Cherry","doi":"10.1016/j.tbs.2025.101229","DOIUrl":"10.1016/j.tbs.2025.101229","url":null,"abstract":"<div><div>The emergence of Urban Air Mobility (UAM) is expected to be a potential solution to improve travel efficiency and mitigate traffic congestion. However, choice preferences for UAM are still understudied, especially for the megacities in China. This study investigates the choice preferences for UAM through a hybrid modeling framework that integrates the Latent Class Discrete Choice Model (LCDCM) with the Mixed Logit Model (MLM). A total of 410 respondents were sampled to represent Chengdu residents in 2024. The LCDCM was first applied to identify distinct traveler segments. Then, leveraging soft-classification probabilities as weights, cluster-specific MLMs were estimated to uncover systematic heterogeneity in preferences across groups. Five user classes were identified, mainly characterized by car ownership, safety concerns, and occupation. The MLM results reveal substantial heterogeneity in sensitivity to fares, in-vehicle time, and out-of-vehicle time. Methodologically, this study provides a novel hybrid approach to capture the observed and unobserved heterogeneity of choice preferences. This study practically helps researchers, practitioners, and government agencies to understand the choice preferences of UAM and promote the deployment of UAM in megacities.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101229"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883687","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":"Unraveling influence of perceived service quality of drone delivery service on behavioral intentions","authors":"Xinyu Chen,&nbsp;Doosun Hong,&nbsp;Sunghoon Jang","doi":"10.1016/j.tbs.2025.101227","DOIUrl":"10.1016/j.tbs.2025.101227","url":null,"abstract":"<div><div>With the development of drone technology, drone delivery services are gradually being commercialized; however, the service still faces challenges such as immature technology, insufficient publicity, and public concerns about privacy issues. This study aims to identify the key factors affecting consumers’ intention to use drone delivery services and propose improvement strategies to promote the widespread adoption of drone delivery services. Through an online survey of Seoul residents, this survey collected 491 valid questionnaires, examining various characteristics such as gender, age, and online shopping behaviors. By using hybrid generalized ordered logit model, this study analyzed the relationship between individual characteristics, perceived service quality, and usage intention. The findings reveal that eight perceived service qualities have varying degrees of influence on usage intention. Delivery time, noise and privacy are key factors for ’high intent’ consumers, while functionality, safety from infection and delivery time are top factors for ’medium intent’ consumers. In addition, males, those under 40, and those with higher levels of education show a stronger intention to use. Enterprises should enhance the visibility of drone delivery services, optimize service quality, and offer customized services tailored to different groups. Simultaneously, the government should strengthen its focus on data security and legal standards. This study provides both theoretical insights and practical recommendations for the future development of drone delivery services.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101227"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883688","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":"Flood hazard assessment and emergency evacuation under rainstorm disasters: A case study of Luhe District in Nanjing","authors":"Shuchao Cao ,&nbsp;Luhan Ma ,&nbsp;Ying Zhou ,&nbsp;Xiangxia Ren ,&nbsp;Yiping Zeng ,&nbsp;Xiaoxia Yang ,&nbsp;Peng Wang","doi":"10.1016/j.tbs.2025.101231","DOIUrl":"10.1016/j.tbs.2025.101231","url":null,"abstract":"<div><div>In recent years, urban floods caused by heavy rains occur frequently, leading to heavy casualties and economic losses worldwide. Transportation network serves as the backbone of urban lifeline engineering, which is crucial for ensuring residents’ safety and emergency evacuation in flood disasters. Therefore, to investigate the flood hazard for pedestrians and vehicles during the rainstorm, an urban rain-flood coupling model is firstly established and validated to accurately simulate the flood inundation process by fusing multiple types of high-precision data. Four rainfall patterns with return periods of 5 years, 10 years, 50 years and 100 years are designed based on the Chicago rainfall method. The critical instability conditions for heterogeneous pedestrians and vehicles are obtained. Finally, a quantitative assessment framework for flood hazard on urban roads is proposed based on flood simulation results and instability risk analysis. The results indicate that the flood hazard level for pedestrians and vehicles increases with the increment of rainfall intensity and duration. Compared to pedestrians, the adverse impact of floods on vehicles is greater since the length of dangerous roads for vehicles increases by 4.5 times. Compared with adults and SUVs, children and cars are more vulnerable to floods, with the length of dangerous roads increasing by 6 times and 90 % respectively. In emergency circumstances, based on the flood hazard distribution and evacuation distances, feasible evacuation routes and evacuation modes in different residential areas are planned to ensure the safety of citizens. The study is helpful to improve emergency responses and traffic management under urban flood disasters.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101231"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883689","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":"Navigating mobility in later life: How vehicle access and community context shape travel behaviour among older adults","authors":"Muhammad Adeel ,&nbsp;Asad J. Khattak ,&nbsp;Moetasim Ashfaq","doi":"10.1016/j.tbs.2025.101190","DOIUrl":"10.1016/j.tbs.2025.101190","url":null,"abstract":"<div><div>Older adults face distinct mobility limitations due to aging, limited access to private vehicles, and structural barriers in their communities, such as inadequate transit, spatial isolation, and environmental burdens. This study examines the travel behaviour of 3,769 older adults aged 65 and over in the Puget Sound region, focusing on how household vehicle access and community-level structure influence both the likelihood of travel and trip frequency. The study develops a unique database by integrating person-level behavioural data from the Puget Sound Household Travel Survey with the National Community Indicators database at the census tract level. A Mobility-Constrained Framework (MCF) was quantified using a Zero Hurdle Negative Binomial regression model. It jointly estimates whether older adults made any trips (extensive margin) and, if so, how many (intensive margin). Vehicle access emerged as the strongest predictor of mobility. Living in a household with at least one vehicle significantly increased the odds of traveling (odds ratio, OR = 1.453) and overall trip frequency (incidence rate ratio, IRR = 3.607). A higher vehicle-to-adult ratio further raised trip counts (IRR = 1.773). In contrast, residing in a burdened community without a vehicle sharply reduced trip frequency (IRR = 0.517), highlighting spatial and infrastructural constraints. Rural residents were also associated with lower travel frequency (IRR = 0.537), reflecting longer distances and fewer modal options. Mobility was further constrained among adults aged 85 and above (OR = 0.347) and those with disabilities (IRR = 0.884), while living alone was linked to more travel. Car-sharing (IRR = 1.550) and transit use (IRR = 2.950) were positively associated with trip frequency. Guided by the MCF, findings highlight how individual, household, and community-level factors collectively shape travel behaviour. The study underscores the need for age-friendly transportation investments, especially in rural communities, expanded ADA-compliant services, and mobility innovations supporting aging populations.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101190"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521149","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":"Integrating innovation and environmental awareness: A path to green purchase intention for electric Two-Wheelers","authors":"Nguyen Khanh Hai Tran","doi":"10.1016/j.tbs.2025.101164","DOIUrl":"10.1016/j.tbs.2025.101164","url":null,"abstract":"<div><div>This study examines the influence of perceived innovation (PI) and environmental awareness (EA) on consumers’ green purchase intention (GPI) for electric two-wheelers in Vietnam, while also highlighting the mediating role of green perceived value (GPV). Despite the growing global emphasis on sustainable transportation, limited research addresses the adoption of electric two-wheelers in developing economies that heavily rely on motorcycles. Addressing this gap, the study integrates the Value–Attitude–Behavior (VAB) model and Protection Motivation Theory (PMT) to propose a comprehensive analytical framework. Data from 511 urban Vietnamese consumers were analyzed using structural equation modeling (SEM). Results confirm that PI and EA significantly enhance GPV and GPI, with GPV serving as a critical mediator of these effects. Theoretically, the research extends existing frameworks by identifying GPV as the pivotal link between innovation, environmental consciousness, and purchase intentions. Practically, the findings suggest that policymakers should combine infrastructure investments, financial incentives, and public education campaigns that emphasize innovation and environmental benefits to accelerate the adoption of electric two-wheelers. Businesses are recommended to strategically highlight product innovations and environmental advantages in marketing initiatives to strengthen consumer value perceptions, thus advancing Vietnam’s transition toward sustainable transportation.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101164"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469082","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 silent discontent to digital outrage: negotiating social norms in the Buenos Aires subway","authors":"Maite Regina Beramendi ,&nbsp;Melissa Sánchez ,&nbsp;Davide Morselli ,&nbsp;Marcelo Montenegro","doi":"10.1016/j.tbs.2025.101174","DOIUrl":"10.1016/j.tbs.2025.101174","url":null,"abstract":"<div><div>Urban public transport systems, particularly subways, are spaces where formal regulations and informal norms shape social interactions. This study analyzes spontaneous messages posted on X (formerly Twitter) regarding norm violations and coexistence issues in the Buenos Aires subway (2017–2022). Using a mixed-methods approach, we applied structural topic modeling and qualitative content analysis to identify key themes in 12,334 tweets. Findings reveal that while passengers experience frequent frustration over norm violations, including fare evasion, pushing, and rule enforcement inconsistencies, direct confrontation is rare but violent. Instead, passengers rely on nonverbal regulation strategies, while social media serves as an outlet for grievances that remain unspoken in real-time interactions. Our analysis also shows a fundamental tension in norm enforcement: passengers oscillate between prescriptive expectations and pragmatic adaptations to transit constraints, fostering double standards and social demoralization. This study contributes to research on urban mobility and norm compliance by demonstrating how social media provides valuable insights into everyday transit experiences.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101174"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521178","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":"Impact of traffic stress on mode choice: A data-driven analysis in Maryland","authors":"Tao Tao ,&nbsp;Yi Liu ,&nbsp;Zhuping Sheng ,&nbsp;Sean Qian","doi":"10.1016/j.tbs.2025.101206","DOIUrl":"10.1016/j.tbs.2025.101206","url":null,"abstract":"<div><div>The walking and biking environment faces challenges from rising vehicle numbers, higher traffic speeds, and inadequate infrastructure for active travel. However, existing mode choice models for biking and walking rarely incorporate trip-level Level of Traffic Stress (LTS) and have yet to examine the varying LTS impact across different contexts. Drawing on household travel survey data, a comprehensive LTS dataset, and other large-scale data sources from Maryland, we developed a statewide mode choice model that explicitly integrates trip-level LTS. Furthermore, we estimated the impacts of LTS improvements on mode choices across varying contexts. The results indicate that LTS is a critical factor in estimating mode choices, showing a significant negative correlation with walking and biking. The impact of LTS improvements on shifts in biking and walking varies based on built environment and sociodemographic variables. The results highlight the need to prioritize traffic calming measures and targeted LTS improvements to foster low-stress environments for active travel.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101206"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657225","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}