Travel Behaviour and Society最新文献

{"title":"Elevating transportation models: A comparative study of variable selection techniques for predictive performance","authors":"Cagdas Kara ,&nbsp;Asuman S. Turkmen","doi":"10.1016/j.tbs.2025.101170","DOIUrl":"10.1016/j.tbs.2025.101170","url":null,"abstract":"<div><div>Selecting the right variables is essential in travel behavior modeling for transportation planning. Traditional methods, like choosing from highly correlated predictors or relying on past studies, can reduce the effectiveness of models. Using robust methods to identify relevant variables helps minimize errors, enhances model understanding, and simplifies future predictions by focusing on key factors, making applications more reliable and efficient.</div><div>In this study, the data from the household travel survey within the Eskisehir Transportation Master Plan (conducted in 2001 and 2015) were used for the theoretical modeling. The objective of the study is to develop models for non-home-based travel purposes (e.g., banking, shopping, socializing, visiting, entertainment, recreation, sports, etc.) by incorporating socio-economic demographic parameters and the land-use data to understand the relationships between socio-demographic variables and Other-Purpose Trips (OPT) behavior.</div><div>Various theoretical methodologies, including classical Multiple Linear Regression (MLR) in travel models, Ridge Regression, advanced variable selection and machine learning techniques such as Least Absolute Shrinkage and Selection Operator (Lasso), Elastic Net (ENet), Adaptive Lasso (ALasso), and Adaptive Elastic Net (AEnet) are applied in the study. Ridge Regression and machine learning techniques are implemented to address multicollinearity problem that cannot be handled with the traditional MLR models.</div><div>Among the 2001 production models, ENet is approximately 29% more successful than MLR in terms of Cross Validated Root Mean Square Error (CVRMSE). Similarly, ENet demonstrates a 17% higher success rate in predicting the target year (2015) based on Root Mean Squared Error (RMSE). In the 2015 production models, the most successful predictions according to CVRMSE are obtained from AEnet, with a prediction power approximately 45% higher than MLR. Among the 2015 attraction models, AEnet and ALasso, approximately 37% more successful than MLR according to CVRMSE, are found to be the most successful models.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101170"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469083","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":"Effects of load state and light conditions on driver takeover performance in a car-two-wheeler risk-state conflict environment","authors":"Lin Hu ,&nbsp;Jian Zhang ,&nbsp;Jing Huang ,&nbsp;Xinghua Wang ,&nbsp;Jing Zhao ,&nbsp;Pak Kin Wong","doi":"10.1016/j.tbs.2025.101222","DOIUrl":"10.1016/j.tbs.2025.101222","url":null,"abstract":"<div><div>With the development of automated driving technology, the safety of driver takeover in risky traffic environments has become a key issue. However, in actual driving, the driver’s internal cognitive state and external environmental factors often interact with each other to jointly affect the takeover performance. To this end, this paper explores the effects of driver load state and light conditions on takeover performance for different car-two-vehicle conflict scenarios at signalized intersections on urban roads. The results show that the nighttime environment amplifies the negative impact of load states on takeover performance. The interaction between load state and light conditions had the greatest effect on the left-straight conflict scenario, and drivers in the left-straight conflict scenario had worse takeover performance and higher collision risk compared to the straight-straight and right-straight conflict scenarios. This study provides an important reference for improving the driver’s takeover performance in the risky traffic environment, which is of great significance for the development and improvement of transportation policies and helps to improve the overall transportation safety.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101222"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839577","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":"Preferences for urban street space reallocation to encourage cycling: A Best-Worst Scaling profile case approach","authors":"Isabella Malet Lambert ,&nbsp;Wouter Poortinga ,&nbsp;Dimitris Potoglou ,&nbsp;Dimitrios Xenias","doi":"10.1016/j.tbs.2025.101205","DOIUrl":"10.1016/j.tbs.2025.101205","url":null,"abstract":"<div><div>Traffic restrictions and the construction of cycling infrastructure are effective strategies to reduce private car use and promote active travel in urban areas. However, implementing these measures often involves reallocating existing street space, which can lead to public resistance. This study employed a Best-Worst-Scaling (BWS) profile case approach to examine preferences for different types of street space reallocation to encourage cycling and to explore how these preferences are influenced by psychological factors such as driver and cyclist identities, perceived infringement on freedom, and place attachment. A Britain-based sample of participants (N = 509) evaluated images depicting various configurations of bike lanes, traffic restrictions, and cycle parking, where road or pedestrian space was reallocated to accommodate cycling infrastructure. Participants identified the most and least preferred features of these designs. The findings indicate broad public support for cycling infrastructure and traffic restrictions, although preferences varied significantly across street layouts. Participants particularly opposed the removal of car parking and showed a strong preference for reallocating road space rather than pedestrian space. Both cyclists and drivers favoured segregated cycling infrastructure over painted bike lanes on roads. While place attachment had limited impact on preferences, perceptions of cycling infrastructure as infringing on individual freedom emerged as a significant factor shaping space reallocation preferences. These findings offer insights for policymakers and urban planners, highlighting design strategies that may be more publicly acceptable and identifying areas where resistance to urban redesigns is likely to emerge.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101205"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657223","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":"2026-04-01","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":"Urban expedition: Unveiling long-distance commuting and its nonlinear ties to the built environment","authors":"Mengmeng Zhang ,&nbsp;Qianliang Jiang ,&nbsp;Huaxiong Jiang ,&nbsp;Liang Ma ,&nbsp;Jiao’e Wang","doi":"10.1016/j.tbs.2025.101195","DOIUrl":"10.1016/j.tbs.2025.101195","url":null,"abstract":"<div><div>The rapid growth of global long-distance commuting (LDC) presents increasing challenges for both environmental sustainability and individual well-being. Despite growing attention to this issue, the literature often lacks an explicit urban planning perspective on how the built environment influences LDC. In this study, a gradient boosting decision tree model is employed to examine these relationships using multiple data sources from Beijing. The results reveal that the characteristics of Beijing’s residential built environment significantly shape LDC patterns among transit users. Key built environment factors—including the jobs–housing ratio, distance to job centers, job accessibility, land-use diversity, and bus station density—exhibit nonlinear associations with LDC. These relationships are characterized by distinct threshold effects and U-shaped patterns. Moreover, spatial heterogeneity is evident, with varying influences across the inner city, inner suburbs, and outer suburbs. This study highlights the need to promote a more balanced jobs–housing relationship, increase land-use diversity, and expand employment opportunities in the inner suburbs to mitigate the pressures associated with extreme commuting.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101195"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145553567","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":"Measuring perceived transfer inconvenience for multimodal commute trips combining bicycles and public transport","authors":"Ioannis Kosmidis,&nbsp;Daniela Müller-Eie","doi":"10.1016/j.tbs.2025.101167","DOIUrl":"10.1016/j.tbs.2025.101167","url":null,"abstract":"<div><div>Public transport and bicycles are two essential components of a sustainable urban transport system, with their integration increasing their potential to reduce car use in urban areas. However, their combined use has one essential weakness, which is the transfer between two travel modes. This additional step creates a feeling of inconvenience to potential travellers. Understanding the factors that cause inconvenience allows to implement policies and measures that ensure an efficient integration and consequently an effective transition to more sustainable travel options. However, the factors that cause inconvenience are currently understudied. This study fills this knowledge gap by identifying these factors and measuring their effect on transfer inconvenience. It also explores the influence of perceived transfer inconvenience on the choice to use a bike as an access or egress mode to a public transport stop. Using data (n = 1007) from an online survey questionnaire from the region of Nord-Jæren in Norway, a Structural Equation Model (SEM) has been developed. The results of the analysis show that the perception of transfer inconvenience plays a substantial role in the choice to combine bicycles and public transport since it can predict up to 10 % of the variance in the choice to use bicycles. The results also suggest that practical elements, like physical infrastructure, play a vital role in shaping transfer inconvenience.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101167"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469084","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":"Would you trust it again? The changes in public perception during AV crashes on the timeline","authors":"Heyuan Sun","doi":"10.1016/j.tbs.2025.101194","DOIUrl":"10.1016/j.tbs.2025.101194","url":null,"abstract":"<div><div>Despite the substantial advantages of automated vehicles (AVs), the frequent crashes in recent years resulted in negative public perceptions, hindering future AV development. Previous studies conducted sentiment analysis through social media data to investigate changes in public perceptions of AVs. However, classifying sentiments in terms of polarity neglected the diversity of human sentiments. This study provides a new perspective on measuring public sentiment toward AVs and segments the groups (i.e., groups of disgust, fear, and like) in terms of sentiment and topics. We extracted 64,196 public comments through Sina Weibo and Tik Tok on AV crashes in China from April 2021 to March 2023 to investigate the changes in public sentiment and the topic of concern on the timeline. The results indicate that disgust and fear dominate these AV crashes. Meanwhile, <em>Automated driving</em> and <em>Steering wheel</em> are constant public concerns, suggesting that the public has misconceptions about AVs. There are cognitive biases against AV systems among the <em>disgust</em> and fear <em>group</em>. Our analysis identified three distinct subgroups within the <em>like</em> group in terms of the topic <em>Brand</em>, namely “Traditionalists,” “Faithful enthusiasts,” and “Shaken utilitarians”. “Traditionalists” are cautious about AVs and prefer manual driving to automated driving. “Faithful enthusiasts” could discredit other brands through negative comments during AV crashes. Such comments possess the potential to influence “Shaken utilitarians” and eventually evolve into collective activities. Our findings could provide policy recommendations for media, policymakers, and car manufacturers to promote public acceptance of AVs.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101194"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521181","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":"Understanding the trade-offs of telework: an agent-based simulation of hybrid work models and employee behavioural dynamics","authors":"Chenxi Bao ,&nbsp;Ying Chen ,&nbsp;Divyakant Tahlyan ,&nbsp;Hani S. Mahmassani","doi":"10.1016/j.tbs.2025.101207","DOIUrl":"10.1016/j.tbs.2025.101207","url":null,"abstract":"<div><div>The hybrid work model, combining on-site and remote work, offers employees flexibility while maintaining essential face-to-face interactions. However, optimizing hybrid work policies to balance productivity, work-life balance, office attendance, and innovation remains a challenge. This study presents an agent-based simulation framework designed to capture employee decision-making within hybrid work settings, incorporating diverse factors such as employee preferences, commuting times, household dynamics, and workspace characteristics. Through scenario analysis of various company policies, the study assesses their impacts on office attendance, productivity, work-life balance, and innovation potential. The results reveal that flexible hybrid work policies enhance work-life balance and support steady office attendance throughout the week but may reduce innovation by limiting in-person interactions. In contrast, policies mandating specific in-office days foster higher innovation potential but reduce employee autonomy and attendance on non-mandatory days. These findings highlight the trade-offs between flexibility, productivity, and innovation that organizations must consider when designing hybrid work policies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101207"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145613706","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":"Time lag impacts of rural built environment on obesity: Mediation effects of physical activity","authors":"Bindong Sun ,&nbsp;Xiajie Yao ,&nbsp;Chun Yin","doi":"10.1016/j.tbs.2025.101203","DOIUrl":"10.1016/j.tbs.2025.101203","url":null,"abstract":"<div><div>Obesity greatly threatens rural residents’ health and well-being, and addressing it requires urgent optimizations to the built environment (BE). However, few studies have explored the time lag impacts of the BE on obesity, as well as their influential pathways and gender heterogeneity, particularly in the rural context. Based on longitudinal data from China Health and Nutrition Survey (CHNS) between 2004 and 2015, fixed effects models combined with time lag variables were employed to examine the relationship between the BE and body mass index (BMI). Moreover, structural equation models were applied to test the mediation effects of physical activity for transport and exercise in the relationship. Results show that both current and time lag sport places and distance to bus stops are negatively correlated with BMI. Commuting by walking, auto ownership, and durations of exercise are mediators of the BE-BMI relationship. The BE has various associations with the mediators and BMI between women and men. These findings offer new knowledge to the literature and are important to design healthy villages for reducing residents’ risks of being obese.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101203"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145613705","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":"Adoption dynamics of e-scooters from a consumer perspective towards sustainable urban mobility","authors":"I Wayan Koko Suryawan ,&nbsp;Sapta Suhardono ,&nbsp;Chun-Hung Lee ,&nbsp;Ari Rahman ,&nbsp;Nova Ulhasanah","doi":"10.1016/j.tbs.2025.101178","DOIUrl":"10.1016/j.tbs.2025.101178","url":null,"abstract":"<div><div>This study investigates the factors influencing e-scooter adoption in Jakarta, emphasizing consumer behavior, demographic influences, and the potential of e-scooters to enhance sustainable urban transport. By utilizing a combination of probit and logit regression models, the research analyzes responses to reveal key attributes that either promote or hinder e-scooter usage. The findings underscore the significance of supportive policies, infrastructure readiness, and targeted awareness campaigns in facilitating e-scooter adoption. Key determinants, such as comfort, cost efficiency, and environmental concerns, play crucial roles in shaping consumer attitudes. Additionally, the study examines demographic specifics, revealing how age, income, and education level impact the willingness to engage with micromobility options. By providing a comprehensive overview of the barriers and facilitators to e-scooter adoption, this research offers valuable insights for policymakers and urban planners seeking to integrate e-scooters into Jakarta’s mobility framework, thereby advancing broader goals of sustainable, efficient, and inclusive urban transportation.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101178"},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651525","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}