Travel Behaviour and Society最新文献

{"title":"Virtual experimental study on pedestrian evacuation dynamics in view-limited environment","authors":"Ruoyu Li ,&nbsp;Yanxu Wang ,&nbsp;Qiao Wang ,&nbsp;Juan Chen ,&nbsp;Jian Ma","doi":"10.1016/j.tbs.2025.100988","DOIUrl":"10.1016/j.tbs.2025.100988","url":null,"abstract":"<div><div>In emergency situations, factors such as smoke and dimly-lit conditions that lead to limited visibility for pedestrians often become an important reason for preventing more efficient evacuation. Considering factors such as cost, preparation time, and especially the safety and ethical issues of the participants, it is difficult to organize evacuation experiments with limited vision in reality. Therefore, in this paper, a multi-person online virtual experiment platform, including drawing, motion, and communication modules, is developed using the high security and expandability of virtual experiment technology to conduct such investigations that are difficult to organize safely and efficiently in reality. Firstly, the validation experiments were organized to compare with the control experiments regarding route choice and motion characteristics. The results showed that the platform could reproduce not only fundamental diagram but also route choice features of the real-life evacuation experiments. Secondly, the motion characteristics and following behavior of pedestrians during evacuation with different number and location settings of exit and different visual fields with limited vision were further studied. The results show that the movement characteristics and following behavior of pedestrians with limited vision are related to social information differences due to the visual field range (VFR) and building environment factors such as the number and location of exits. With VFR increases, the pedestrian evacuation time and movement area decrease and remain stable after VFR reaches 3.0 m. The average collision number of pedestrians increases with VFR, and the curve of the number of collisions in the dual-exit scenario is “V” shaped. The wayfinding time of pedestrians decreases with the VFR increase, and the blocking time increases accordingly. As the increase of VFR, the movement consistency and the following frequency of the crowd is higher; the larger of VFR in the single-exit scenario, the higher maximum frequency value that pedestrians are more likely to engage in following behavior, while they tend to make more autonomous decisions in the dual-exit scenario.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100988"},"PeriodicalIF":5.1,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027360","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":"Modelling electric vehicle charging events using a random parameter duration approach","authors":"Yasir Ali ,&nbsp;Fredrik Monsuur ,&nbsp;Craig Morton ,&nbsp;Cheuk Ki Man","doi":"10.1016/j.tbs.2025.100989","DOIUrl":"10.1016/j.tbs.2025.100989","url":null,"abstract":"<div><div>To promote the uptake of Electric vehicles (EVs), public charge points (or infrastructures) are crucial. A critical question for the planning and operational management of EV infrastructures is understanding different dimensions of temporal utilisation, which assists in improving the existing infrastructure and demonstrating the need for new infrastructures. Therefore, this paper analyses charge event durations of EVs using data from Transport for Greater Manchester. A hazard-based duration modelling approach is adopted to model the duration of charge events as a function of temporal, geographic, and prevailing weather conditions. The model reveals the charge events during the spring season can be longer and shorter, which can be attributed to temperature fluctuations requiring more higher/smaller energy consumption, and similarly, with an increase in windspeed, charge duration may increase/decrease. These findings can be useful for infrastructure operators in determining the factors that affect user behaviour on their EV charging networks and could feed into the development of commercial strategies to control EV charging networks, such as how to spread charge demand over different periods of the day and how to discourage the occurrence of overstay. For instance, charge events with longer connection durations could be identified and targeted by infrastructure providers to delay their occurrence to periods when power demand is not constrained through such means as providing preferential prices during off-peak periods.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100989"},"PeriodicalIF":5.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hierarchical Wi-Fi log data processing framework for human mobility analysis in multiple real-world communities","authors":"Yuqiu Yuan ,&nbsp;Lei Zhu ,&nbsp;Mohini Joshi","doi":"10.1016/j.tbs.2025.100985","DOIUrl":"10.1016/j.tbs.2025.100985","url":null,"abstract":"<div><div>Wi-Fi log data, including communication actions between clients and Access Points (APs), can be used to infer human movement and travel activity and thus would serve as a reliable data source for human mobility analysis. As more and more modern cities or communities provide public free Wi-Fi services, a vast amount of public Wi-Fi log data will be collected and have the potential to be used to characterize human travel patterns and thus develop more effective urban transportation management strategies. However, Wi-Fi log data processing is not trivial. Wi-Fi networks established by various internet equipment manufacturers and devices have different network settings and log file formats. Additionally, the complexity of Wi-Fi log data, along with the ping-pong phenomenon and invalid messages, can result in analysis bias and errors. Though previous studies have processed the specific Wi-Fi log data individually in different ways, a common framework that can address public Wi-Fi data from different locations is needed to improve data processing efficiency and analysis effectiveness. This study proposed a hierarchical and general Wi-Fi data processing and analysis framework to extract client travel activities from Wi-Fi log data. Wi-Fi log data collected from three communities in North Carolina- one university campus, the city of Wilson, and the town of Holly Springs, were processed and analyzed. Based on that, travel activities across different communities with specific Wi-Fi networks could be compared and analyzed to provide community human mobility and travel activity insights and the correlation between human travel and Wi-Fi network features.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100985"},"PeriodicalIF":5.1,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027291","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":"What is Transport Adequacy? Quantifying experienced transport poverty in the Netherlands","authors":"Dick Ettema ,&nbsp;Dea van Lierop ,&nbsp;Xingxing Fu ,&nbsp;Pauline van den Berg ,&nbsp;Iris Geigenmüller","doi":"10.1016/j.tbs.2024.100982","DOIUrl":"10.1016/j.tbs.2024.100982","url":null,"abstract":"<div><div>It is increasingly recognized that access to transportation options and relevant destinations is not equally distributed across the population, calling for quantitative indicators to identify groups at risk of transport poverty and exclusion. While this has most commonly been done using accessibility measures based on objective land use and transportation data, we argue that subjective self-reported measures of travel options and accessibility are a useful complement, as they are more suited to account for travellers’ perceptions of limitations in the transportation system and outcomes of these limitations, such as limited access to desired destinations and the fulfilment of needs. Building on initial developments in the field of self-reported perceived accessibility, this paper describes the development and test of a comprehensive quantitative measurement scale of perceived transport adequacy. We propose an eight-item scale, which was tested on data collected in the cities of Utrecht and Rotterdam, the Netherlands in 2021, with a specific emphasis on including socially vulnerable populations in our sample. The transport adequacy scale has a high internal consistency, and a considerable variation across the sample. Descriptive and regression analyses suggest that transport adequacy is lower for those with lower incomes, no car access, and using mobility aids. Finally, subjective transport adequacy is associated with life outcomes, such as achievements in life, quality of social interactions and life satisfaction. The transport adequacy scale is a meaningful indicator of the extent to which travel needs are met and can be a useful tool to monitor autonomous developments and mobility interventions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100982"},"PeriodicalIF":5.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elderly travelers’ expectations of high-speed railway services in Thailand: A comparative study of leisure and other purposes","authors":"Thanapong Champahom ,&nbsp;Dissakoon Chonsalasin ,&nbsp;Adisorn Dangbut ,&nbsp;Fareeda Watcharamaisakul ,&nbsp;Sajjakaj Jomnonkwao ,&nbsp;Vatanavongs Ratanavaraha","doi":"10.1016/j.tbs.2025.100984","DOIUrl":"10.1016/j.tbs.2025.100984","url":null,"abstract":"<div><div>As Thailand’s population ages and high-speed rail (HSR) infrastructure develops, understanding elderly travelers’ expectations becomes crucial. This study investigates the determinants of elderly travelers’ expectations and behaviors regarding HSR services in Thailand, comparing leisure and other-purpose travelers. Data was collected from 3,201 elderly respondents (1,101 leisure, 2,100 other-purpose) across five regions of Thailand through face-to-face surveys. Employing exploratory factor analysis, confirmatory factor analysis, and measurement invariance testing, the study identified seven key constructs influencing elderly travelers’ HSR expectations. Results reveal significant differences between leisure and other-purpose travelers. Leisure travelers are primarily influenced by Innovativeness and Perceived Behavioral Control, while other-purpose travelers are more affected by Facilitating Conditions and Performance Expectancy. Subjective Norm moderately influences both groups, while Optimism is more important for other-purpose travelers. These findings underscore the need for tailored approaches in HSR service design and marketing strategies. Policy recommendations include implementing user-friendly interfaces, comprehensive training programs, supportive infrastructure, and targeted communication strategies. The study contributes to the literature on elderly mobility in emerging HSR markets and provides a validated measurement model for assessing elderly travelers’ expectations. It offers valuable insights for HSR operators, policymakers, and researchers working to enhance elderly mobility and promote inclusive transportation systems in the context of aging populations and developing HSR infrastructure.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100984"},"PeriodicalIF":5.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939871","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":"Assessing the impact of walkability indicators on health outcomes using machine learning algorithms: A case study of Michigan","authors":"Musab Wedyan,&nbsp;Fatemeh Saeidi-Rizi","doi":"10.1016/j.tbs.2025.100983","DOIUrl":"10.1016/j.tbs.2025.100983","url":null,"abstract":"<div><div>Urban planning and public health are increasingly interlinked in efforts to shape healthier communities. To build a healthier community, walkability has shown positive outcomes for population health. This study employs machine learning to analyze the impact of walkability indicators such as intersection density, proximity to transit stops, employment mix, and employment and household mix and social vulnerability factors on health outcomes in Michigan. Data from the Environmental Protection Agency (EPA) and Centers for Disease Control and Prevention (CDC) were used to evaluate health outcomes including obesity, blood pressure, cholesterol, and depression. The analysis also incorporated the Social Vulnerability Index (SVI) to examine the influence of socioeconomic and demographic factors. Different supervised machine-learning algorithms were applied to assess these relationships. Among the algorithms, the Random Forest algorithm showed the best performance. The results indicate that there is a variation in the impact of walkability indicators on health outcomes. Key findings reveal that among walkabiltity indicators, intersection density is the most significant predictor of all health outcomes, while the other indicators have less impact. In addition, it was found that variables such as Socioeconomic Status, Household Composition &amp; Disability, Minority Status, Housing Type and Transportation have also impact of health outcomes. In conclusion, this research shows the relationship between walkability and human health by providing an evidence-based guidance for building healthier, more walkable communities.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100983"},"PeriodicalIF":5.1,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939789","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":"Identifying low-to-middle-income residents’ secondary activity patterns using smart card data","authors":"Ziyan Zhao ,&nbsp;Meihan Jin ,&nbsp;Mei-Po Kawn ,&nbsp;Qingfeng Zhou ,&nbsp;Yongxi Gong ,&nbsp;Yu Liu","doi":"10.1016/j.tbs.2024.100977","DOIUrl":"10.1016/j.tbs.2024.100977","url":null,"abstract":"<div><div>The enrichment of urban lifestyles necessitates a comprehensive understanding of individuals’ secondary activity patterns. For low-to-middle-income residents, secondary activities assume a crucial role in understanding their living conditions. Accordingly, this study proposes a method to extract secondary activities from smart card data and to analyze its spatio-temporal patterns. Corroborated by travel survey data, a significant portion of smart card users have low to middle incomes, we contend that the derived patterns effectively represent the living circumstances of low-to-middle-income individuals travel by public transportation. These patterns are characterized from three aspects, e.g., quantity, spatial coverage, and preference based on home and workplace. A case study in Shenzhen, China identifies several meaningful patterns in the secondary activities of the low-to-middle-income groups who travel frequently by public transportation: groups whose activity patterns are occasional and with strong home-workplace constraints, groups with small activity coverages and strong home-workplace constraints, groups with wide activity coverages and weak home-workplace constraints, and groups with multiple activities and weak home-workplace constraints. The case study indicates that the majority of low-to-middle-income groups who frequently use public transportation either have very few secondary activities by public transportation, or are severely constrained by home and workplace. These discoveries have the potential to assist urban planners in enhancing the accessibility of urban amenities for low-to-middle-income residents, thereby enhancing both the quantitative and qualitative aspects of their secondary activities.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100977"},"PeriodicalIF":5.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143703","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":"Using a Simulation and Optimisation decision support tool to evaluate impacts of an intermodal travel management system combining ride-pooling and public transport","authors":"Ester Lorente,&nbsp;Esteve Codina,&nbsp;Jaume Barceló","doi":"10.1016/j.tbs.2024.100974","DOIUrl":"10.1016/j.tbs.2024.100974","url":null,"abstract":"<div><div>This paper explores using a decision support tool, an already developed and preliminary tested system with highly parameterised Simulation and Optimisation engines. This tool manages the assignment of user requests to an intermodal transport system in which conventional transit transportation modes, buses, subways, railways, and trams, are complemented and coordinated with a ride-pooling service. The main objective of this paper is to evaluate the suitability and sustainability of the intermodal transport system in terms of the reduction of emissions, number of conventional trips, and the policies efficiency depending on variable fleet sizes, detour penalties sensibility and fares. The computational tests have been conducted with a realistic Barcelona Metropolitan Area model. The results indicate a significant reduction in emissions with the implementation of ride-pooling services, both in multimodal and intermodal approaches, contributing to alleviating urban traffic congestion caused by private vehicles. A second contribution is the development and evaluation of a policy for the detour reduction of the services assigned to the requests, resulting in better routes with a smaller increase of the fare for already en-route passengers. Furthermore, the implementation of a variable active fleet policy involving a gradual adjustment of the operating number of vehicles during the start-up and shutdown of the system proves to be beneficial for the company in mitigating the system’s operational costs, especially in periods of lower demand, where maintaining a full-time fleet would incur in unnecessary expenses given the limited number of requests.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100974"},"PeriodicalIF":5.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918005","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":"Text as data: Narrative mining of non-collision injury incidents on public buses by structural topic modeling","authors":"Pengpeng Xu ,&nbsp;Qianfang Wang ,&nbsp;Yun Ye ,&nbsp;S.C. Wong ,&nbsp;Hanchu Zhou","doi":"10.1016/j.tbs.2024.100981","DOIUrl":"10.1016/j.tbs.2024.100981","url":null,"abstract":"<div><h3>Introduction</h3><div>Although numerous studies have investigated collisions involving public buses, there has been inadequate research on passenger injuries caused by non-collision incidents on public buses. One major obstacle is that the manual extraction of thematic information from massive document repositories is exceedingly labor intensive, cumbersome, and inaccurate. Our study thereby illustrated how to automatically characterize non-collision injury incidents on public buses by fusing advanced language processing techniques and large-scale incident reports.</div></div><div><h3>Methods</h3><div>Based on the 12,823 textural narratives recorded by police during 2010–2019 in Hong Kong, the structural topic modeling was developed to uncover underlying themes, quantify topic prevalence, and portray complex interconnectedness.</div></div><div><h3>Results</h3><div>Thirty-three topics were successfully labeled, with the topic <em>stand and lost balance</em> being the most prevalent. Non-collisions were more likely to result in serious consequences when incidents occurred because the bus skidded, when a passenger was boarding, and when a standing passenger lost the balance. Six unique patterns were uncovered, i.e., the failure to hold handrails accompanied by inappropriate behaviors of bus drivers when approaching bus stations, loss of balance among standing passengers due to the sharp braking of bus drivers in response to red traffic lights ahead, alighting passengers being hit by the door, passengers falling while climbing staircases, passengers being injured because of bus driver’s emergency maneuvers to avoid collisions with nearside pedestrians, and passengers being injured due to the careless lane-changing of bus drivers when weaving through roundabouts.</div></div><div><h3>Conclusions</h3><div>By leveraging the emerging text mining techniques, unstructured narratives written by the police can provide valuable and organized information for regular injury surveillance. Tailor-made countermeasures were proposed to prevent non-collision injury incidents on public buses.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100981"},"PeriodicalIF":5.1,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918031","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":"Active travel and socioeconomic segregation in Temuco, Chile: The association of personal factors and perceived built environment","authors":"Mohammad Paydar ,&nbsp;Asal Kamani Fard","doi":"10.1016/j.tbs.2024.100980","DOIUrl":"10.1016/j.tbs.2024.100980","url":null,"abstract":"<div><div>Improvement of active travel would contribute to enhancing the minimum rate of physical activity; thus improving public health. Although the importance of social and built environmental variables in promoting active travel has been highlighted, there have been few studies on how both domains simultaneously affect active travel. The impact of socioeconomic status (SES) on the relationships between active travel and its contributing features was also highlighted in the relevant studies. In this sense, compared to low SES neighborhoods (NLSES), the high SES neighborhoods (NHSES) have a far superior infrastructure for active transport. This study aims to examine the associations between active travel and the factors that influence it using data from two different neighborhood types, namely NLSES and NHSES in Temuco, a medium-sized southern city in Chile. The objectives were examined using a questionnaire, two types of regression analysis, and an open-ended question. The results of the qualitative approach showed that personal insecurity is the most significant barrier to walking in NLSES. In addition, the results of the quantitative approach demonstrated the associations of several socio-demographic, personal, social, and built environmental factors with active travel in both NLSES and NHSES, including monthly income, access to a bicycle, attitude toward walking, specific lifestyles, role models, social cohesion, encouragement, perceived accessibility, and perceived access to bus stations. These findings could be used by urban and transport policymakers of this city to enhance active travel based on each neighbourhood type in this city.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100980"},"PeriodicalIF":5.1,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887437","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}