Travel Behaviour and Society最新文献

{"title":"Investigating extra environmental exposure in bike-sharing trips: spatial patterns and built environment factors","authors":"Zijian Guo ,&nbsp;Mei-Po Kwan ,&nbsp;Jian Liu ,&nbsp;Xintao Liu","doi":"10.1016/j.tbs.2026.101241","DOIUrl":"10.1016/j.tbs.2026.101241","url":null,"abstract":"<div><div>Shared bikes provide flexible mobility but expose riders to harmful outdoor environments, such as humid and oppressive heat, negatively impacting the travel experience. Reducing extra travel time, particularly for open-air transport, is an effective way to minimize unnecessary environmental exposure (UEE). However, the role of extra travel time in exposure studies has received limited attention, and the relationship between the built environment and UEE remains underexplored. This study addresses these gaps by constructing complex networks of UEE based on shared bike travel flows. We first calculate each Shenzhen bike-sharing trip’s extra travel time by comparing the optimal and actual travel time. UEE is then defined as a combination of this extra travel time and the corresponding “feels-like” temperature. For each origin–destination pair, numerous UEE values of trips form a distribution, from which the maximum probability point (EP) and fluctuation (EF) are extracted as two key indicators. These two indicators, along with traffic volume, serve as the weights of network edges. After the network aggregation, spatial hotspot comparisons are conducted, followed by the application of a GCN-LIME model to explain the contribution of the built environment to UEE. The results indicate that areas associated with work, education, and high diversity inhibit the UEE, while areas with food, shops, services, and hospitals promote it. Notably, laborer communities experience higher UEE and are sensitive to changes in the built environment, underscoring issues of spatial justice. These findings provide valuable insights for policymakers to identify high-exposure areas and optimize facilities to mitigate exposure.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101241"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146032755","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 peer-to-peer paid carpooling in Bogotá: A path to sustainable shared mobility","authors":"César A. Merchán-Núñez ,&nbsp;Mauricio Orozco-Fontalvo ,&nbsp;Luisa F. Morales-Moreno ,&nbsp;Aquiles Darghan ,&nbsp;Sonia C. Mangones M. ,&nbsp;Lenin A. Bulla-Cruz","doi":"10.1016/j.tbs.2026.101243","DOIUrl":"10.1016/j.tbs.2026.101243","url":null,"abstract":"<div><div>Carpooling is a sustainable transportation alternative that allows users with similar destinations to share private vehicles, contributing to reductions in energy consumption, pollutant emissions, and traffic congestion. While not a comprehensive solution, carpooling can lower private car use and increase vehicle occupancy rates. However, most carpooling initiatives have been limited in scope, often operating on a small scale or within corporate frameworks, restricting their potential for widespread adoption. In Latin America, where ride-hailing services are popular despite regulatory issues, carpooling remains uncommon. In Bogotá, an exception is the informal service called “Wheels,” which operates through WhatsApp groups to coordinate rides, focusing on university communities. This service quickly became a preferred mode of transport for students, faculty, and staff. This study aims to identify the factors driving the success of this informal initiative. A survey of 470 university community members was conducted, incorporating a discrete choice experiment to evaluate the attributes influencing their stated likelihood of use. Analytical methods included multiple correspondence analysis, logit models, and machine learning techniques. Our findings reveal that the adoption of carpooling is significantly influenced by price sensitivity, safety perceptions (particularly among women), reluctance to share rides with strangers, and demographic factors such as age and socioeconomic status. These insights offer valuable guidance for enhancing the appeal and scalability of carpooling as a door-to-door, reliable transportation alternative, particularly in similar sociocultural contexts as our case study.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101243"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048469","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":"Enhancing adaptability of taxi boat services participation amidst climate change","authors":"I Wayan Koko Suryawan ,&nbsp;Sapta Suhardono ,&nbsp;Chun-Hung Lee","doi":"10.1016/j.tbs.2026.101248","DOIUrl":"10.1016/j.tbs.2026.101248","url":null,"abstract":"<div><div>This study explores the resilience and adaptability of new taxi boat services in Bali within the context of climate change. It employs Random Parameter Logit (RPL) and Latent Class Model (LCM) analyses to assess how various service attributes influence user preferences and participation. Focusing on asset resilience, infrastructure flexibility, and staff preparedness, the research identifies key factors that significantly enhance service reliability and build customer trust. Users are segmented into enthusiastic adopters, reluctant participants, and experimental users, with each group demonstrating unique reactions to service improvements. The results indicate that incorporating advanced materials and technologies markedly increases service usage among those prioritizing safety and reliability. Additionally, the findings highlight the importance of strategic service enhancements and targeted communication in boosting user engagement across different segments. Policy recommendations emphasize establishing partnerships, improving service comfort, and implementing adaptive strategies to maintain efficacy under changing environmental conditions. This study contributes valuable insights to ongoing discussions on sustainable transportation solutions and the adaptive infrastructure development necessary to mitigate the impacts of global climate change.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101248"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135466","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 comparative vibroacoustic performance and comfort assessment of conventional and electric buses: The city of Montreal case study","authors":"Emmanuel Davies,&nbsp;Fuzhan Nasiri","doi":"10.1016/j.tbs.2026.101244","DOIUrl":"10.1016/j.tbs.2026.101244","url":null,"abstract":"<div><div>This study explores the interactions between bus operational dynamics, vibroacoustic levels, and rider comfort perceptions for improving public bus transit experience. To achieve this, data was collected from 43 buses (31 conventional and 12 electric buses), through direct operational observations. Bivariate analysis was used to assess key operational factors, while ridge regression modelling established the strongest predictive links between these factors, vibroacoustic levels, and comfort perceptions. The results indicated that bus age, road conditions, and average speed influenced noise and vibration levels. Specifically, older buses, poorer road conditions, and higher average speeds contributing to increased vibroacoustic generation and subsequently higher rider discomfort. These findings guided the development of vibroacoustic performance and comfort assessments which serves as the basis for the policy implications introduced in the study. Future research should consider additional operational dynamics, such as traffic density and driving skill variations, to further improve public transportation efficiency.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101244"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152669","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 has the importance of factors influencing telework adoption changed over time? Observing pre- to late-pandemic trends using multi-year data from two US regions","authors":"Seung Eun Choi ,&nbsp;Ilsu Kim ,&nbsp;Xinyi Wang ,&nbsp;Jason Soria ,&nbsp;Patricia L. Mokhtarian","doi":"10.1016/j.tbs.2026.101233","DOIUrl":"10.1016/j.tbs.2026.101233","url":null,"abstract":"<div><div>Teleworking, significantly accelerated by the COVID-19 pandemic, has altered traditional work arrangements and commuting habits. To understand factors influencing telework behavior and their changes over time, we examine telework adoption trends using three waves of cross-sectional survey data collected in the springs of 2021–2023 (and including retrospective pre-COVID data) in the Dallas–Fort Worth–Arlington (DFA) and Washington (DC)–Arlington–Alexandria (WAA) regions. We categorize employees into non-teleworkers (NTWers), non-usual teleworkers (NUTWers), and usual teleworkers (UTWers) based on their frequency of full days working from home. Region- and year-specific multinomial logit (MNL) models are constructed to identify factors influencing telework patterns across different pandemic phases. Four groups of influential factors are revealed: those <em>consistent</em> in significance throughout (e.g., education and income), those <em>fading</em> across years (e.g., car-related attitudes), those <em>strengthening</em> over time (e.g., telework attitudes), and those with <em>differential impacts</em> between NUTW and UTW (e.g., household composition). For instance, in WAA, workers with <em>young</em> children were more likely than others to be NUTWers pre- and early-pandemic, but this factor <em>faded</em> in significance in later years. Conversely, the impact of having <em>school-aged</em> children on NUTWing <em>strengthened</em> in the late-pandemic period. Additionally, pro-car ownership attitudes decreased the propensity to UTW throughout the years, though this influence <em>faded</em> late in the pandemic. These findings highlight the dynamic interplay between work-family balance, job characteristics, and attitudes related to telework adoption. The results provide valuable insights for policymakers and employers aiming to optimize flexible work arrangements, refine telework policies, and address future workforce needs.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101233"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080726","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":"Hands off the wheel, hands off the choice? A discrete choice experiment on trolley dilemma in autonomous vehicles","authors":"Woojae Kim ,&nbsp;Youngsang Cho ,&nbsp;Taeho Park ,&nbsp;Kyuho Maeng","doi":"10.1016/j.tbs.2026.101251","DOIUrl":"10.1016/j.tbs.2026.101251","url":null,"abstract":"<div><div>As autonomous vehicles (AVs) are increasingly integrated into everyday mobility systems, ethically complex crash scenarios have become a critical issue. Therefore, trolley dilemmas have attracted significant attention. However, little is known about how moral programming influences consumers’ acceptance of an AV. This study investigated the relative impact of ethical decision logic, accident liability, and safety performance on AV adoption preferences. A stated-choice experiment was conducted with 1,032 Korean respondents, and a mixed logit model with the Bayesian estimation method was used to estimate heterogeneous utility parameters. The experiment included five attributes: whether the AV protects the driver or pedestrian, the party responsible for the accident, annual accident probability, algorithm personalization, and purchase price. Demographic characteristics were also examined. The results indicated that the attribute “whether an AV protects drivers or pedestrians” had no significant effect on consumer utility. By contrast, a lower accident probability and assigning responsibility to manufacturers or software developers rather than to drivers substantially increased AV acceptance. Male, urban, and lower-income respondents were more likely to prefer AVs that protect drivers and shift the liability toward institutional actors. These findings suggest that consumers prioritize measurable safety and institutional accountability over abstract ethical logic. For AV developers and policymakers, these results highlight the value of adaptive algorithmic frameworks and clearly defined liability structures. This study contributes to the design of socially acceptable AV systems that align with public expectations in the age of algorithmic decision-making.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101251"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072159","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":"Interventions to facilitate long-term travel data collection via smartphones","authors":"Anita Lyubenova ,&nbsp;Fariya Sharmeen","doi":"10.1016/j.tbs.2026.101249","DOIUrl":"10.1016/j.tbs.2026.101249","url":null,"abstract":"<div><div>Smartphone applications used in travel surveys can increasingly detect trip characteristics automatically. However, manual validation and labeling remain necessary, often leading to incomplete data and participant attrition. Continuous incentives − small, frequent rewards for ongoing participation − may improve data completeness by sustaining respondent motivation and engagement. This study examined the effects of economic, gamification, and nudging interventions on the completeness of GPS-based cycling data collected via a mobile app. Three separate time periods with different reward structures were compared: 1) low monetary rewards, 2) high monetary rewards, and 3) gamification elements with nudging applied to a random subset of the sample. Completeness was evaluated using two outcomes: (1) overall trip recording rate and (2) the rate of spatially unchained trips − pairs of recorded trips whose start and end locations did not match, indicating at least one unrecorded trip. Andersen–Gill survival models estimated the change in each outcome during the interventions, adjusting for demographic and behavioral factors. The results indicate that the period with higher economic rewards simultaneously increased the trip recording rate and reduced the rate of unchained trips, indicating improved data completeness as compared to the period with low economic rewards. Gamification significantly reduced the rate of unchained trips but did not increase overall trip recording as compared to the period without gamification, providing only partial evidence of its effectiveness. Nudging had no significant effect on either outcome. These findings contribute to travel behavior research by demonstrating how travel data collection efforts can be improved to incentivize respondent engagement. These findings contribute to travel behavior research by showing how different incentive strategies can improve participant engagement in travel data collection. Methodologically, the study introduces a spatially based approach for assessing the continuity and completeness of GPS-derived travel data.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101249"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135467","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":"Beyond daily travel: understanding shared autonomous vehicle usage behavior across emergency preparedness segments in the United States","authors":"Ningzhe Xu ,&nbsp;Jun Liu ,&nbsp;Steven Jones","doi":"10.1016/j.tbs.2026.101235","DOIUrl":"10.1016/j.tbs.2026.101235","url":null,"abstract":"<div><div>Shared Autonomous Vehicles (SAVs) are viewed as a promising next generation mobility solution; however, most existing research has focused on their use in routine daily travel. Individuals’ preferences for using SAVs during emergencies remain largely underexplored. Gaining insight into these preferences is essential for designing effective emergency mobility strategies that can leverage advanced mobility technologies when available. This study investigates SAV usage preferences in emergency contexts across the United States using data from a nationally distributed online survey (N = 1,015). Specifically, the study examines (1) differences in SAV usage preferences between daily and emergency contexts, (2) variations in these preferences across segments defined by emergency preparedness levels, and (3) the factors that influence SAV adoption behavior within each preparedness segment. Methodologically, chi-squared tests were used to assess shifts in SAV usage preferences between contexts, while latent class analysis (LCA) was employed to classify respondents into two preparedness segments: under-prepared and well-prepared. Within each segment, Light Gradient Boosting Machine (LightGBM) models were developed and interpreted using feature importance rankings and partial dependence plots. Findings show increased willingness to use SAVs during emergencies, especially among individuals who were hesitant or unwilling in daily settings. SAV usage preferences also varied by preparedness segment. Several factors, including residential duration, vehicle access, race, and ethnicity, showed consistent effects across groups, while others, such as land use, household with children, home ownership, and household size, displayed divergent patterns. These results highlight the moderating role of preparedness in SAV adoption and caution against directly applying daily-use assumptions to emergency contexts. Policy efforts should consider preparedness-based segmentation to support effective SAV deployment during emergencies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101235"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146015816","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":"Post-commute self-assessed work performance","authors":"Andie Heck ,&nbsp;Hisham Negm ,&nbsp;Nancy A. Ross ,&nbsp;Ahmed El-Geneidy","doi":"10.1016/j.tbs.2026.101256","DOIUrl":"10.1016/j.tbs.2026.101256","url":null,"abstract":"<div><div>Commuting can have immediate and long-term impacts on employees’ behaviour and motivations at work. This study focuses on the self-assessed impact of commute mode on multiple aspects of work performance, namely energy and productivity at work, and punctuality in getting to work. Using large-scale national data (N = 6,671) from the Canadian Mobility Survey conducted in Fall 2024 across 12 metropolitan regions, we conduct weighted logistic regression models that investigate each self-assessed work performance aspect. We use three data subsets based on region population size (large, mid-size, and small). Our models account for main travel mode, commute duration, motivations for mode choice, and sociodemographic factors. For all three subsets, we find that active commuters (pedestrians and cyclists) are the most likely to express positive impacts of commuting on energy and productivity at work, followed by car users. Meanwhile, bus, streetcar, LRT, and BRT users are the least likely to express such results. Car users have a higher likelihood of expressing punctuality to work compared to pedestrians and transit users in all three subsets. Longer commute durations are associated with negative impacts on all three work performance measures, especially punctuality.</div></div><div><h3>Takeaway for practice</h3><div>Our study underscores that commuting is not a neutral transition between home and work but an influential factor in work performance. Investment in infrastructure that supports active transport and high-quality transit that is fast and comfortable can promote positive performance at work.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101256"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160347","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 new geography of work and mobility: Behavioural, spatial and sectoral dynamics of telework during and after COVID-19","authors":"Lina Zhou ,&nbsp;Jifeng Dai ,&nbsp;Wenyong Sun ,&nbsp;Tianren Yang","doi":"10.1016/j.tbs.2026.101253","DOIUrl":"10.1016/j.tbs.2026.101253","url":null,"abstract":"<div><div>The COVID-19 pandemic triggered a rapid expansion of telework, reshaping commuting patterns and urban mobility, yet its sectoral and spatial dynamics in rapidly developing megacities remain insufficiently understood. This study introduces an operational framework that integrates large-scale location-based services (LBS) mobility data with official employment statistics to measure telework transitions in Shenzhen, China, from 2019 to 2022. Results show an initial 14.5% surge in frequent telework that stabilised at 9% above pre-pandemic levels, with pronounced divergence across industries: skilled scalable service sectors sustained elevated telework adoption, whereas manufacturing and consumer-facing industries largely returned to onsite work. Spatially, telework persistence concentrated in central business districts and knowledge-intensive clusters, consolidating a more monocentric hybrid-work geography. Regression models reveal strong associations between telework uptake and sociodemographic factors, commuting distance, and built-environment features such as amenity density, mixed land use and high-rise development. Moderation analysis further shows that industry composition amplifies or attenuates built-environment influences, reinforcing sector-specific telework feasibility. By integrating mobility-derived behavioural indicators with urban form and sectoral structures, this study provides a transferable analytical framework for monitoring hybrid work in data-scarce contexts and offers globally relevant insights for transport planning, mixed-use development and the governance of post-pandemic work–travel transitions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"44 ","pages":"Article 101253"},"PeriodicalIF":5.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190463","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}