Travel Behaviour and Society最新文献

{"title":"Linking accessibility, transportation satisfaction, and destination satisfaction: Evidence from a ten-year longitudinal study in Xishuangbanna, China","authors":"Ying ZHAO ,&nbsp;Yixuan HE ,&nbsp;Jigang BAO","doi":"10.1016/j.tbs.2025.101130","DOIUrl":"10.1016/j.tbs.2025.101130","url":null,"abstract":"<div><div>Transportation is crucial for shaping tourist experiences and subsequent destination satisfaction. While previous research has examined the influence of transportation infrastructure improvements on transportation satisfaction, a significant gap regarding the dynamic impact of evolving accessibility on tourists’ overall satisfaction remains. Thus, this study addresses this gap by investigating the interrelationships among accessibility, transportation satisfaction, and destination satisfaction via a unique ten-year longitudinal dataset (2015–2025) derived from questionnaire surveys conducted in Xishuangbanna, China. The research specifically examines improvements in two key transport modes—high-speed railways (HSR) and expressways. The findings reveal that increased accessibility positively influences destination satisfaction, with transportation satisfaction acting as a mediating factor. However, the nature and strength of these relationships vary significantly across the two transport modes. Concurrent improvements in HSR and expressways increase destination satisfaction, with transportation satisfaction operating as a full mediator. Conversely, improvements in HSR accessibility alone enhance destination satisfaction partially through transportation satisfaction, whereas improvements in expressway accessibility alone enhance destination satisfaction directly.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101130"},"PeriodicalIF":5.7,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060005","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":"Decoding the first-and-last mile: Analyzing the transit connecting bike share GPS routes in Hamilton, Ontario with spatiotemporal distance decay","authors":"Zehui Yin,&nbsp;Darren M. Scott","doi":"10.1016/j.tbs.2025.101122","DOIUrl":"10.1016/j.tbs.2025.101122","url":null,"abstract":"<div><div>The well-known first-and-last mile (FM/LM) problem has long plagued traditional fixed-route public transit systems. Recently, emerging shared micromobility services, such as bike share, have been gaining popularity and quickly developing worldwide. These services present the potential to complement public transit by serving as an FM/LM solution. This study leverages Hamilton Bike Share Global Positioning System routes data and employs a novel spatiotemporal distance decay with built environment adjustment method to quantify whether bike share trips are FM/LM trips on a continuous scale ranging from 0 to 1. This approach provides a more detailed usage pattern at the road level and a more realistic identification of FM/LM trips compared to the commonly used buffer zone approach applied to origin and destination pair trip data. Subsequently, we examine the spatiotemporal patterns and trip attributes of FM/LM trips and how they differ from all bike share trips. The findings reveal distinct differences in temporal, spatial, and trip attributes between FM/LM and all bike share trips. We found that bike share trips are frequently used by riders to cover the distance between transit stops and their workplaces. Additionally, FM trips are generally more challenging compared to LM trips due to a significantly higher number of left and U-turns. Policy recommendations are proposed to enhance wayfinding, expand cycling infrastructure, and promote integrated bike share and transit usage. This research highlights the potential of bike share systems to address the FM/LM problem and provides empirical evidence to inform future urban transportation planning and policy development. It also offers a methodological framework for identifying FM/LM trips using individual trip data such as origin and destination pairs.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101122"},"PeriodicalIF":5.7,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046155","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":"Climate change-induced floods disrupt intercity mobility in China: A national-scale assessment","authors":"Qian Yao ,&nbsp;Can Lu ,&nbsp;Mengya Li ,&nbsp;Wei Zhai ,&nbsp;Jiangyang Lin ,&nbsp;Hanqing Xu ,&nbsp;Qing Liu ,&nbsp;Jun Wang","doi":"10.1016/j.tbs.2025.101132","DOIUrl":"10.1016/j.tbs.2025.101132","url":null,"abstract":"<div><div>Climate change-induced floods pose escalating threats to intercity mobility, undermining the sustainability and connectivity of national transport systems. This study develops an integrated assessment framework that combines large-scale hydrodynamic flood simulations, empirical intercity mobility data, and scenarios to quantify flood-induced transport disruptions across China. Results indicate that, under current conditions, road failures and mobility losses are concentrated in non-urban regions with sparse infrastructure and inadequate flood protection. Under future climate scenarios, both the intensity and spatial patterns of disruption shift. Urban agglomerations in eastern and southern China experience disproportionately large increases in mobility losses, driven by their centrality in the transport network and cascading vulnerabilities. Moreover, the dominant disruption mechanism shifts from indirect, connectivity-related losses to direct road failures, further amplifying system-wide fragility. These findings underscore a critical shift in intercity transport vulnerability under intensifying climate extremes and provide spatially differentiated insights to inform infrastructure adaptation and promote equitable transport planning.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101132"},"PeriodicalIF":5.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046154","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":"Vulnerability analysis of urban road traffic network under cyber attacks on ride-hailing platforms","authors":"Na Zhao ,&nbsp;Yongshang Tian ,&nbsp;Yuwen Lu ,&nbsp;Wei Zhai ,&nbsp;Guofang Zhai","doi":"10.1016/j.tbs.2025.101129","DOIUrl":"10.1016/j.tbs.2025.101129","url":null,"abstract":"<div><div>In the context of the information age, ride-hailing platforms have become an essential part of the urban transportation infrastructure system, greatly facilitating the travel needs of city residents. However, with the widespread application of ride-hailing platforms, network security issues have also become increasingly prominent, especially the malicious dispatching behavior that may have a serious negative impact on urban road traffic networks. In order to quantify the vulnerability of urban road traffic networks to malicious dispatching, this paper first designs a malicious vehicle dispatching scheme aimed at maximizing benefits based on graph theory methods, and simulates the attack effects by constructing a real-time traffic congestion model. Secondly, the vulnerability of the urban traffic network is measured by the connectivity between clusters within the city. Taking Nanjing as an example, this paper empirically analyzes the vulnerability of the road network in the central area during the morning peak period when subjected to a malicious dispatching attack by ride-hailing platforms. The results show that this type of attack can significantly reduce the road traffic capacity in some key directions, with only a few tens of vehicles dispatched. Moreover, there are significant differences in vulnerability in different directions. In response, we further identify the main factors causing these changes, aiming to provide a theoretical basis for improving the resilience of urban road networks in the information age.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101129"},"PeriodicalIF":5.7,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988427","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":"Spatial dynamics of home delivery and pick-up in online shopping","authors":"Shoumic Shahid Chowdhury ,&nbsp;Mahmudur Rahman Fatmi ,&nbsp;Muntahith Mehadil Orvin","doi":"10.1016/j.tbs.2025.101127","DOIUrl":"10.1016/j.tbs.2025.101127","url":null,"abstract":"<div><div>Despite the growing popularity of online shopping, the last-mile delivery method is still a critical problem in the transportation industry. Understanding the choice of order collection methods is important to predicting travel demand, congestion, and emissions. This study investigates the choice of last mile order collection method, which includes 1) home delivery and 2) click and pick up (C&amp;P). Data comes from a superstore chain in the Porto Metropolitan Area from Portugal, which includes 6 months of online grocery order data between January and June 2022 – involving 116,984 orders. The study employs a latent class binary logit model (LBL). The model captures unobserved heterogeneity by assigning individuals into discrete latent classes. Based on goodness-of-fit measures, the model is estimated for two classes. Class 1 predominantly represents consumers in suburban areas, whereas class 2 represents consumers from urban areas. Results reveal that the total number of boxes per order, average commute time, marital status, dwelling status, the proportion of single-parent families, and average distances of bus stop, grocery, and mall contribute to the preference for home delivery and C&amp;P. Results indicate significant heterogeneity between suburban and urban neighborhoods, with suburban renters and suburban married populations showing a lesser preference for home delivery than their urban counterparts. The elasticity effect suggests that the delivery method preference is moderately sensitive to sociodemographic factors, whereas little to zero sensitive to accessibility features. The findings are expected to assist in understanding choices for the last-mile online order collection methods, including areas to prioritize for home delivery and pick-up facilities, as well as developing equitable transportation plans and policies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101127"},"PeriodicalIF":5.7,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932638","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 public discourse about new cycle lanes and low-traffic neighbourhoods using Twitter/X data","authors":"Isabella Malet Lambert ,&nbsp;Wouter Poortinga ,&nbsp;Dimitris Potoglou ,&nbsp;Dimitrios Xenias","doi":"10.1016/j.tbs.2025.101128","DOIUrl":"10.1016/j.tbs.2025.101128","url":null,"abstract":"<div><div>While sustainable transport initiatives generally enjoy broad public support, new cycle lanes and Low Traffic Neighbourhoods (LTNs) often face strong opposition from local campaign groups, particularly on social media. This study examined public sentiment towards these measures and how it evolved in response to the UK Government’s Emergency Active Travel Fund, using social media data from Twitter (now “X”). A total of 36,696 UK-based tweets related to cycle lanes and LTNs were analysed over a four-year period, spanning two years before and two years after the fund’s announcement in May 2020 (1 March 2018 to 30 June 2022). Sentiment analysis revealed that while most tweets were positive, negative sentiment increased after the fund was announced. Structural Topic Modelling (STM) identified 13 key discussion topics, including cycle lane design, road user behaviour, and experiences using cycling infrastructure. Notably, discussions rarely addressed broader benefits of active travel, such as climate change mitigation or public health improvements. The findings indicate that new cycling infrastructure is generally well-received, but that public sentiment fluctuates over time. Criticism tends to focus on poorly designed or unsafe infrastructure and concerns around their implementation. This research demonstrates the value of social media analysis to understand the content and dynamics of public opinion on transport infrastructure changes, as well as the use of sentiment analysis and STM in analysing large text datasets.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101128"},"PeriodicalIF":5.7,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913868","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 the determinants of electric motorcycle adoption and changes in travel behavior: Insights from Indonesia","authors":"Harits Rachmat Hidayat ,&nbsp;Muhammad Zudhy Irawan ,&nbsp;Muhamad Rizki ,&nbsp;Ilma Aurarisa","doi":"10.1016/j.tbs.2025.101121","DOIUrl":"10.1016/j.tbs.2025.101121","url":null,"abstract":"<div><div>Electric motorcycles (EMs) have garnered increasing attention as a cleaner alternative to gasoline-powered vehicles, offering substantial potential for reducing air pollution. While recent research has examined factors influencing EM adoption, limited studies have linked psychological and demographic determinants to actual usage behavior and mode shifts, particularly within the Indonesian context. To bridge this gap, the study extends the UTAUT2 framework by incorporating perceived safety, environmental concern, and policy measures. It examines both EM adoption intentions and resulting changes in travel behavior. Data were gathered from 445 EM users in Jakarta, Indonesia, and analyzed using Partial Least Squares–Structural Equation Modeling. Findings indicate that performance expectancy, social influence, hedonic motivation, habits, and perceived safety significantly influence the intention to adopt EMs. This intention, in turn, increases EM usage, reduces dependence on private vehicles, and complements public transport. Demographic factors moderate key relationships: age affects how habits shape EM usage, income and education impact how performance expectancy influences intention. Education also strengthens the role of perceived safety and hedonic motivation on intention. User satisfaction further reinforces the connection between intention and actual usage. Expanding charging infrastructure, improving battery technology, and promoting stylish design and user testimonials are recommended to accelerate adoption.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101121"},"PeriodicalIF":5.7,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144903420","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":"Decoding electric vehicle adoption using XGBoost and SHAP analysis","authors":"Peng Chen ,&nbsp;Xiankui Yang ,&nbsp;Feng Hao ,&nbsp;Ran Tao","doi":"10.1016/j.tbs.2025.101125","DOIUrl":"10.1016/j.tbs.2025.101125","url":null,"abstract":"<div><div>As the shift towards sustainable transportation accelerates, it is vital to understand the factors driving electric vehicle (EV) adoption for effective policymaking. This study uses XGBoost and SHAP (SHapley Additive exPlanations) values to investigate the determinants of EV purchasing willingness in Florida, incorporating variables such as socioeconomic status, employer incentives, travel preferences, and spatial factors. The analysis shows that government subsidies have the most significant impact on EV adoption, with environmental concerns and travel preferences also playing key roles. The SHAP analysis identifies non-linear relationships with age, population density, and charger proximity. Additionally, approval of Tesla’s charging network openness and concern about climate change positively influence EV purchase willingness. This study enriches the literature by highlighting these complex, non-linear interactions and offers actionable insights for policymakers to enhance EV adoption. The key takeaways emphasize that accelerating EV adoption demands a comprehensive strategy involving enhanced financial incentives, increased environmental education, expanded charging infrastructure, and targeted approaches tailored to different age groups and geographic regions. These findings are crucial for developing targeted strategies to accelerate the transition to cleaner transportation solutions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101125"},"PeriodicalIF":5.7,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892196","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":"2025-08-22","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":"Understanding bundle choices and subscription patterns of mobility as a service (MaaS) trial participants: evidence from an Australian university community","authors":"Xin Chen ,&nbsp;Ying Lu ,&nbsp;Jake Whitehead ,&nbsp;Mark Hickman","doi":"10.1016/j.tbs.2025.101123","DOIUrl":"10.1016/j.tbs.2025.101123","url":null,"abstract":"<div><div>Understanding choice preferences and patterns of subscriptions to bundles is a critical prerequisite for the successful introduction and widespread adoption of MaaS. Existing studies on choice preferences for MaaS bundles are limited to a single-choice scenario through stated preference surveys, or to limited choices in small-scale trials with few participants. Unlike behaviours observed in single-choice scenarios, analysing individuals’ bundle choices and budget allocations across subscriptions, based on their subscription sequences, offers a more objective way to understand their MaaS subscription patterns. To contribute new evidence, this study utilises data from a large-scale MaaS trial conducted within a university community in South East Queensland (SEQ), Australia, and examines participants’ bundle subscriptions during semester 1 of 2023. The descriptive analysis reveals that many participants repeatedly purchase the same bundle or select multiple bundle types throughout the semester. Further, there appear to be some factors that affect not only the bundle choices but also the semester-long commitment of students and staff to the MaaS program. To explore this further, our study models participants’ bundle choices and the within-semester subscription patterns using multiple discrete–continuous extreme value (MDCEV) models. The model results highlight the significant impacts of the participants’ gender, user type, age, ability to ride an e-scooter, and motivations for joining the MaaS trial do affect bundle choices and subscription patterns over the semester. Moreover, land use variables corresponding to residential bikeway density, population density, land use mix, percentage of land area dedicated to transport, also seem to affect a participant’s preferences for bundles and subscription patterns. The developed models also account for the heterogeneity in participants’ budget allocations into bundle subscriptions across participant profiles. The findings are insightful in understanding users’ subscription patterns for specific MaaS bundles, thus guiding operators and policymakers to enhance their bundle offerings in real-world MaaS deployment and operation.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101123"},"PeriodicalIF":5.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878465","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}