Travel Behaviour and Society最新文献

{"title":"Social influences in the context of parking: An exploratory study using a stated choice approach","authors":"Peter van der Waerden ,&nbsp;Jaap van der Waerden","doi":"10.1016/j.tbs.2025.101109","DOIUrl":"10.1016/j.tbs.2025.101109","url":null,"abstract":"<div><div>This paper presents an exploratory study of social influences in the context of car drivers’ parking choice behavior. The influence of parking attributes and a car driver’s social network is measured using a stated choice approach. In an online questionnaire various hypothetical parking facilities are presented to respondents. Four attributes are included to describe parking facilities: parking tariff, walking distance between parking facility and final destination, type of parking facility, and security level. The social network of car drivers is represented by family, friends, colleagues, and others. The evaluations of more than 600 respondents are analyzed using a mixed logit model. The model analysis shows that when choosing a parking facility, car drivers are not only influenced by parking attributes but also by their social network.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101109"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826494","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":"Bus drivers’ intention to accept level 4 autonomous buses in ethical dilemmas: An extended technology acceptance model","authors":"Yu-Kai Huang ,&nbsp;Jyun-Kai Liang ,&nbsp;Chung-Cheng Lu","doi":"10.1016/j.tbs.2025.101143","DOIUrl":"10.1016/j.tbs.2025.101143","url":null,"abstract":"<div><div>As autonomous driving technology progresses in the private vehicle sector, research on autonomous buses is gaining global attention. Most studies currently focus on passenger needs and attitudes, with less attention given to the drivers who directly operate these vehicles. This study examines the attitudes and behavioral intentions of current bus drivers under different operational scenarios using Level 4 autonomous buses. By extending the Technology Acceptance Model to include trust and compatibility and integrating it with the Integrative Ethical Decision-Making Framework (IEDMF), the study analyzes drivers’ intentions to use AI systems in moral dilemmas. This theoretical integration provides a comprehensive understanding of how rational and intuitive moral reasoning influence technology acceptance in ethical contexts. Structural equation modeling indicates that perceived usefulness and ease of use are critical factors influencing drivers’ operations of autonomous buses in such contexts. The research also reveals significant differences in decision-making behaviors between urban and intercity bus drivers in moral dilemmas, with urban drivers more likely to rely on AI for ethical judgment and prioritize pedestrian safety in critical situations. These findings highlight the importance of targeted training programs: urban bus drivers should focus on urban safety and ethical considerations of pedestrian areas, whereas intercity drivers should enhance their strategies for managing long-distance driving ethics and highway dilemmas. Furthermore, this study underscores the necessity of investing in robust AI systems capable of making ethical decisions under pressure and advocates for integrating diverse ethical frameworks into these systems to better reflect societal values and norms, providing guidance for the future operation of autonomous buses.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101143"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157785","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 sea level rise on aging population’s accessibility to essential services in Honolulu, Hawaii","authors":"Dingyi Liu,&nbsp;Suwan Shen","doi":"10.1016/j.tbs.2025.101139","DOIUrl":"10.1016/j.tbs.2025.101139","url":null,"abstract":"<div><div>With demographic shifts showing an increasing elderly population and growth in low-elevation coastal zones, this study investigates the impacts of sea level rise on elderly accessibility to essential services in Honolulu, Hawai’i, exploring the question how sea level rise will affect road accessibility to essential services for the elderly.</div><div>Using the Cohort Change Ratio (CCR), we project the elderly population in each Traffic Analysis Zone (TAZ) over the coming decades. The study identifies road segments and essential facilities at risk under various sea-level rise scenarios (1.1 feet and 2.0 feet) and analyzes network connectivity from each TAZ to essential services.</div><div>Results indicate that while infrastructure damage is moderate, accessibility to essential services in vulnerable communities will be significantly impacted, even under 1.1 feet rise. Some areas with high elderly populations could be isolated due to transportation bottlenecks. These findings underline the urgent need for transportation network planning to ensure connectivity for vulnerable elderly populations and suggest that long-term land use planning is crucial for climate change adaptation. The methodology and insights from this study are applicable to other coastal regions and can inform adaptation planning practices nationwide.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101139"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157786","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":"Spherical fuzzy evidential reasoning for vehicle-to-grid enabled electric vehicle adoption: A data-driven analysis of public perception","authors":"Muhammad Zahid ,&nbsp;Ezzeddin Bakhtavar ,&nbsp;Salim Khoso ,&nbsp;Syed Naveel Hussain ,&nbsp;Rehan Sadiq ,&nbsp;Kasun Hewage","doi":"10.1016/j.tbs.2025.101169","DOIUrl":"10.1016/j.tbs.2025.101169","url":null,"abstract":"<div><div>The successful adoption of Vehicle-to-Grid (V2G) technology depends on public awareness, infrastructure readiness, and policy support. This study presents a Spherical Fuzzy Set-Evidential Reasoning (SFS-ER) framework to assess public perceptions of V2G adoption, leveraging survey data from 729 respondents in Okanagan, British Columbia (BC), Canada. The study quantifies belief structures through three dimensions: True Belief (<em>m_T</em>), False Belief (<em>m_F</em>), and Uncertainty (<em>m_U</em>), and computes utility scores to evaluate adoption likelihood. K-Means clustering with the Elbow Method identifies three distinct respondent groups: Supporters (high belief and adoption potential), Skeptical (moderate false beliefs), and Resistant (high skepticism and reluctance toward adoption). The findings reveal that awareness (<em>m_T</em> = 0.78) and interest (<em>m_T</em> = 0.75) are the strongest predictors of adoption, whereas familiarity alone has a limited impact. Higher-income and university-educated respondents demonstrate greater awareness, while apartment and townhouse residents face structural barriers due to limited charging infrastructure. Moreover, sensitivity analysis confirms that awareness-driven interventions can increase utility scores by 5.4 %. Based on the results, the key policy recommendations include expanding educational initiatives, implementing financial incentives, and integrating V2G-ready infrastructure in multi-unit dwellings.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101169"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145441894","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 Virtual Reality-based eye-tracking with urban digital twin for unveiling pedestrian visual attention in wayfinding tasks","authors":"Yinghong Jiang ,&nbsp;Yao Yao ,&nbsp;Qing Yu ,&nbsp;Ziwei Jiang ,&nbsp;Xuanyu Liu ,&nbsp;Jiaxing Li ,&nbsp;Haoran Zhang","doi":"10.1016/j.tbs.2025.101120","DOIUrl":"10.1016/j.tbs.2025.101120","url":null,"abstract":"<div><div>Urban navigation relies heavily on signage, yet pedestrian visual interaction with these cues in complex environments is not yet fully quantified. This study developed an immersive Virtual Reality platform integrating eye-tracking with a detailed, photogrammetry-based 3D model that captures real-world geometric and textural features to investigate the gazing behavior and visual attention to support wayfinding signage design. A methodological framework is proposed to extract participants’ gazing behavior and estimate visual attention from eye-tracking data. Leveraging this integrated methodology, VR experiments were then designed to investigate pedestrian gaze behavior under varying signage information densities and different task conditions. An explainable machine learning approach combining XGBoost and SHAP was employed to model and interpret how geometric features like distance, incidence angle, pitch, and sign size influence specific gaze behaviors, distinguishing between focusing and scanning actions. Results revealed that high-information signage enhanced wayfinding efficiency but may increase cognitive load. For sign design, gaze distance and incidence angle were identified as key factors influencing attention, exhibiting non-linear effects and task-dependent thresholds, with distance below 30 m, incidence angle below 46°, and pitch angle below 4.2°associated with increased visual attention. Based on the attentional mechanisms observed, two recommended sign design strategies were proposed according to the task context. The study demonstrates the application of VR and digital twin technology for analyzing visual behavior, providing evidence-based insights for context-aware urban signage design.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101120"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888665","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":"Characterizing walkability in Hong Kong’s 15-minute transit-oriented development(TOD): insights from street view imagery and local accessibility","authors":"Zidong Yu,&nbsp;Ketong Shen,&nbsp;Xintao Liu","doi":"10.1016/j.tbs.2025.101157","DOIUrl":"10.1016/j.tbs.2025.101157","url":null,"abstract":"<div><div>As urban environmental challenges intensify, sustainable transport modes like walking are increasingly prioritized. The 15-minute city model is introduced to support this shift by promoting access to daily essentials within a short walk. While existing research often focuses on accessibility to urban functions, the perceptual experience of the walking environment—especially in transit-oriented developments (TODs) within a 15-minute framework—remains underexplored. This study addresses this gap by developing a data-driven framework to quantitatively assess walkability in Hong Kong’s TOD areas. Our approach integrates two key dimensions: perceptual feeling and local accessibility. First, we use Vision Transformers to analyze street view images (SVIs) and quantify perceptual feelings such as safety, liveliness, and beauty. We employ a generalized additive model (GAM) to analyze how these visual elements correlate with human ratings of walkability. Second, we integrate these perceptual metrics with traditional accessibility measures. These perceptual metrics are then combined with accessibility measures—such as the total number and diversity of local destinations—to create a composite walkability index, mapping and analyzing spatial variations in walkability. This multi-faceted approach provides a more comprehensive understanding of walkability in dense urban contexts. Analysis reveals that street perceptions of safety and liveliness peak in central business districts. These lively areas are characterized by a visual composition rich in buildings and sidewalks, underscoring a positive link between dense urban form and pedestrian activity. These findings suggest that in highly accessible transit-oriented development (TOD) areas, improving pedestrian safety by expanding sidewalk width should be prioritized. By integrating visual perception with accessibility in the 15-minute city framework, practical planning insights to enhance urban walkability are discussed.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101157"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416054","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":"Where I live is what I do – The potential of residential choices to determine energy use and travel behaviour of Norwegian movers","authors":"Tanja Scheffler ,&nbsp;Christian A. Klöckner ,&nbsp;Eva Heinen","doi":"10.1016/j.tbs.2025.101138","DOIUrl":"10.1016/j.tbs.2025.101138","url":null,"abstract":"<div><div>Travel behaviour and energy use are strongly linked to the residence and thus to residential choice. However, in residential choice research, there is still limited evidence on how housing and location choice impact both mobility needs and energy decisions over a long time.</div><div>We surveyed Norwegian homebuyers to analyse the extent to which their residential preferences and former home influence the choice of future residence characteristics related to energy and travel demand. These characteristics include dwelling type and size, energy standard, access to parking and public transport as well as proximity to the city centre.</div><div>Our findings indicate that movers select residences that match their preferences for energy- and travel-related attributes. However, the characteristics of the former home also explain the newly chosen characteristics, suggesting loss aversion or a bias of preferences towards the previously experienced. Additionally, the choice of dwelling type constrains subsequent choice options, particularly regarding floor area and centre proximity. Furthermore, high income is associated with less sustainable choices regarding dwelling size and parking access. Generally, characteristics offer co-benefits for reduced energy and travel demand in proximity to the city centre. Smaller dwellings, fewer detached houses and more public transport stops are expected to lead to lower travel demand and energy use. However, these benefits come with trade-offs in energy standard, which tends to be better outside the city centre.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101138"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220101","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":"“I care about transport sustainability, but i have children”: Open-text surveys highlight the concerns of families with children","authors":"Elnaz Sarkheyli ,&nbsp;Azadeh Sarkheyli","doi":"10.1016/j.tbs.2025.101155","DOIUrl":"10.1016/j.tbs.2025.101155","url":null,"abstract":"<div><div>The importance of providing access to quality public transport has been discussed in numerous literature and reports. Despite growing recognition of the need for inclusive public transport, the specific mobility needs of children and their caregivers remain largely overlooked in transport planning and evaluation. Conventional assessments—which rely on structured, expert-driven criteria such as accessibility, punctuality, and safety— often fail to capture the nuanced capabilities and unequal access experienced by underrepresented groups, such as families with children. This study addresses this gap by adopting an inductive approach to analyze open-text responses from survey data collected between 2022 and 2023 by the Swedish Public Transport Association. Employing sentiment and content analysis, we investigated how the survey respondents address children-related accessibility challenges and concerns about traveling by public transport while accompanying children. Approximately 15 % of the survey respondents answered the open-text questions, with around 3 % (415 individuals in 2022 and 588 in 2023) specifically mentioning the words “child” or “children.” Reviewing the responses, we identified four key concerns that constrain the capabilities of children and their caregivers: (1) time-management pressures, (2) affordability and value concerns, (3) safety concerns, and (4) comfort and convenience limitations. Through the lenses of transport justice and capability theory, we argue that capability deprivation could reinforce car dependency or reduce mobility and social participation opportunities for families with children. The results underscore the need to integrate child- and caregiver-specific needs into public transport planning and design. Furthermore, this study highlights the value of unstructured public feedback in revealing unmet mobility demands and nuanced quality expectations, which are critical for ensuring equitable access to sustainable transport for all citizens.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101155"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319900","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":"Grocery shopping and related access trips by mode in Canadian time use surveys","authors":"Ugo Lachapelle ,&nbsp;Chunjiang Li ,&nbsp;Elnaz Yousefzadeh Barri ,&nbsp;Michael Widener","doi":"10.1016/j.tbs.2025.101112","DOIUrl":"10.1016/j.tbs.2025.101112","url":null,"abstract":"<div><div>Grocery shopping episodes are often grouped with other shopping in travel surveys, making it difficult to study these activities. This paper explores grocery shopping trips, shopping episode characteristics and participants, and assesses the potential loss of information stemming from the grouping of all shopping activities.</div><div>A sample of metropolitan area respondent data from the Canadian General Social Surveys’ 2010 and 2015 (cycles 24 and 29) time use modules is used. In the 2010 survey, grocery shopping and other shopping is surveyed separately, while the 2015 survey merges all shopping activities. This provides an opportunity to compare these approaches. The characteristics of shopping activities (2010 and 2015) with respect to participation, timing, in-store episode time and trip duration, activity sequences (in-store episodes with access/egress trips), and respondents’ demographics are compared using bivariate tests, and logistic regressions. Activity sequences are assessed using two locations before and two locations after shopping episodes.</div><div>Grocery shopping activity sequences are shorter in duration than other shopping activity sequences. No difference in episode duration is found between gender or income for groceries, while significant differences are found for other shopping. “Home-store-home” by car is the most frequent sequence for all shopping types. Nearly half of the grocery shopping activity sequence is spent on the access and egress trips.</div><div>In logistic regressions, age, gender, employment, and the most frequent travel mode are associated with having performed shopping episodes, regardless of shopping types. Compared to other shopping episodes, grocery shopping is more strongly associated with being 75 or older, being married, from visible minority groups, and with higher education.</div><div>Grocery shopping activities differ from other shopping in terms of participant, timing, duration, and activity sequence. Combining grocery shopping and other shopping in future time use surveys (and in travel surveys) may mask the distinctiveness of grocery shopping episodes, trips and overall sequences.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101112"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829862","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":"Predicting short-term urban bike sharing demand in a coupled continuous and network space","authors":"Shen Liang ,&nbsp;Yang Xu ,&nbsp;Guangyue Li ,&nbsp;Xiaohu Zhang ,&nbsp;Qiuping Li","doi":"10.1016/j.tbs.2025.101152","DOIUrl":"10.1016/j.tbs.2025.101152","url":null,"abstract":"<div><div>Bike sharing systems support sustainable urban development, with accurate demand prediction being essential for efficient operations. Previous studies have primarily modeled spatial dependency of bike sharing demand in Euclidean space or among bike stations, but often overlooked topological dependency of demand shaped by urban transportation networks. Metro and cycling networks could influence bike sharing usage through their functional connections with bike sharing systems. To address this gap, this study proposes GeoTopo-Net, a novel deep learning framework to improve short-term demand forecast for urban bike sharing systems. Different from existing solutions, GeoTopo-Net jointly models dependencies of travel demand in both continuous and network spaces. The model utilizes convolutional neural networks (CNNs) to capture spatial dependency between urban areas and their surroundings, while integrating graph convolutional networks (GCNs) to model the topological dependency introduced by urban transportation networks. Our evaluation across five global cities shows that GeoTopo-Net significantly reduces prediction errors, by up to 8.9% in RMSE, 6.8% in MAE, and 5.9% in MAPE. Incorporating dependencies from metro networks produces notable improvements in high-demand areas and those near the metro stations. These findings highlight the importance of incorporating urban transportation network structures in bike sharing demand forecast. The GeoTopo-Net architecture can also be adapted to improve short-term forecast for different types of travel demand (e.g., ride-hailing; electric vehicle charging demand) that involve complex interdependencies in continuous and network spaces.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101152"},"PeriodicalIF":5.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145261994","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}