Travel Behaviour and Society最新文献

{"title":"Impact of attitude, behaviour and opinion of e-scooter and e-bike riders on collision risk in Singapore","authors":"Raunaq Nayar ,&nbsp;Milan Paudel ,&nbsp;Fook Fah Yap ,&nbsp;Hong Xu ,&nbsp;Yiik Diew Wong ,&nbsp;Feng Zhu","doi":"10.1016/j.tbs.2024.100918","DOIUrl":"10.1016/j.tbs.2024.100918","url":null,"abstract":"<div><div>Active Mobility Devices (AMDs) such as electric scooters (e-scooters) and electric bikes (e-bikes) are increasingly used on shared paths and Park Connector Networks (PCNs) in Singapore, leading to frequent interactions between AMD riders, pedestrians, and cyclists. To ensure safety, it is crucial to understand the factors associated with collision risk related to these AMDs. To gain insights into the riders’ perspectives on the risk-taking behaviours and attitudes towards safety and sharing paths, a survey was conducted with 369 e-bike and 133 e-scooter riders across Singapore. The collected data was analysed to identify critical features of behaviour, attitudes, and opinions of e-scooters/e-bikes riders and their impact on perceived collision risk. Logistic Regression was used to select the most important behavioural features linked to collision risk, and significance of each was quantified by using the odds ratios in the chosen model. The results reveal that e-bike riders who regularly brake hard to avoid obstacles and highly value capacity of e-bike to carry goods face an increase in collision risk by 49.1% and 43.48% respectively. Those preferring quieter AMDs face 33.31% lower collision risk. Additionally, e-bike riders advocating for more traffic enforcement or the importance of slowing down when overtaking pedestrians face 20.69% and 38.84% lower collision risk respectively. E-scooter riders who manoeuvre quickly to dodge collisions or prioritize passenger-carrying capacity encounter a 142.25% and 67.43% higher collision risk, respectively. Furthermore, e-scooter riders willing to bend rules when not causing inconvenience to others face an increase in collision risk by 123.00%. These outcomes offer significant insights for the design and regulation of active mobility to safeguard all road users in a multi-modal transport environment.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100918"},"PeriodicalIF":5.1,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A copula-based approach for multi-modal demand dependence modeling: Temporal correlation between demand of subway and bike-sharing","authors":"Yining Di ,&nbsp;Meng Xu ,&nbsp;Zheng Zhu ,&nbsp;Hai Yang","doi":"10.1016/j.tbs.2024.100908","DOIUrl":"10.1016/j.tbs.2024.100908","url":null,"abstract":"<div><div>As a representative mode of shared mobility, bike-sharing serves not only as a convenient way to conduct short-distance trips in urban areas, but also as a feeder mode to public transit, forming the Bike and Ride (BnR) system. Conducting management for such a hybrid multi-modal system faces various challenges, including the complex interactions between bike-sharing and other modes, highly dynamic passenger demand, and the difficulty of accessing direct transfer data. To overcome such difficulties, our study proposes a framework for assessing the dependency between the two usage modes. Firstly, a Dynamic-Time-Warping-based (DTW) method is utilized to determine the catchment area (CA) between the two modes, allowing the BnR-related tendency similarity under a given time scale to be considered. Then, the patterns of probabilistic dependence between travel demand of the two modes are obtained by a copula-based approach, which separates correlations under specific usage levels from single modal demands. A case study on the multi-modal system formed by docked bike-sharing and subway in New York is conducted to validate the proposed framework. The tendency similarity is found to be most pronounced within 500 m on average under a 4-hour interval. For each formed station group (SG), the best-fitted copula type is selected, capturing the strong tail correlations present only at specific usage levels. The results show a variety of different correlation patterns within SGs, despite the close geographic locations they may share. Areas of potential transfer resistance between the two modes are identified, which is more evident in first-mile-related (FMR) activities. In contrast, the two modes display more weak connections in last-mile-related (LMR) activities. The obtained results can be utilized by bike-sharing service providers to analyze demand distributions and conduct efficient station-level rebalancing. Compared to previous methods, our proposed framework is computationally inexpensive since no direct transfer of data or complex inference network is required. It incorporates statistically significant spatial–temporal information, allowing for a more accurate determination of the bi-modal assessment range. Moreover, considering that single-mode influences are mathematically removed, the resulting correlation in principle links to the strength of the connections between the two modes. Therefore, it can be assessed as an indicator of the reliability of the multi-modal system.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100908"},"PeriodicalIF":5.1,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420376","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":"Retraction notice to “Effects of stimulant and opiate drugs on driver behavior during lane change in a driving simulator” [Travel Behav. Soc. 4 (2016) 69–78]","authors":"D. Sadeghi Tehran ,&nbsp;A. Nahvi ,&nbsp;M. Hajirasouli ,&nbsp;H. Naseri ,&nbsp;Kh. Lotfi ,&nbsp;M. Niknejad","doi":"10.1016/j.tbs.2024.100916","DOIUrl":"10.1016/j.tbs.2024.100916","url":null,"abstract":"","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100916"},"PeriodicalIF":5.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship between accessibility and land prices: A focus on accessibility to transit in the 15-min city","authors":"Zijuan Yin ,&nbsp;Wenquan Li ,&nbsp;Congcong Li ,&nbsp;Yan Zheng","doi":"10.1016/j.tbs.2024.100914","DOIUrl":"10.1016/j.tbs.2024.100914","url":null,"abstract":"<div><div>In the context of local residents’ travel activities, access to transportation facilities is crucial and a key factor in achieving the goals of a 15-min city. However, current research on accessibility and land prices seldom fully considers the exploration of the relationship between the two using machine learning models. In this study, we conduct an analysis based on land price and accessibility in Beijing. Firstly, factors such as accessibility, population density, land use types, the number of Points of Interest (POI), and housing prices are selected as independent variables for the model, with land price as the dependent variable. Secondly, the CatBoost model is employed to investigate the complex relationship between accessibility to transit and land prices. Finally, the study introduces the XGBoost model and the ordinary least squares (OLS) method for comparison, validating the effectiveness of the CatBoost model in studying the complex relationship between accessibility and land prices through the comparison of model performance evaluation metrics. A clear nonlinear relationship exists between public transportation accessibility and land prices. Accessibility to bus within a 15-min bicycle is positively associated with land price; its trend shows a sharp increase followed by a gradual increase, and then another sharp increase. Accessibility to metro within the multistage distance threshold walk has a roughly positive association with land price within a certain range. While accessibility to bus within a 15-min walk and accessibility to bus within the multistage distance threshold walk have a negative association with land price. The nonlinear patterns between the four accessibility variables and land prices differ and exhibit significant spatial heterogeneity. Both housing prices and population density positively correlate with land prices. Housing prices sharply increase, then gradually, while population density gradually rises, then sharply. This paper explores the relationship between the two, reinforcing research on the mutual influence of public transportation facilities and surrounding environmental elements. It provides a theoretical basis for promoting transit-oriented development (TOD) and city planning.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100914"},"PeriodicalIF":5.1,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357532","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":"Temporal patterns of user acceptance and recommendation of the automated buses","authors":"Jia Guo ,&nbsp;Xiaoyan Kang ,&nbsp;Yusak Susilo ,&nbsp;Constantinos Antoniou ,&nbsp;Anna Pernestål","doi":"10.1016/j.tbs.2024.100909","DOIUrl":"10.1016/j.tbs.2024.100909","url":null,"abstract":"<div><div>To help automated bus services to be competitive in the market, understanding what factors influence the public’s acceptance and adoption of an automated bus service and how these factors change over time is critical. Various factors affect users’ acceptance of this new bus mode, with the quality of service standing out as a significant consideration. Based on pilot demonstrations, some prior studies have explored the factors influencing the user acceptance of new automated vehicle technology based on real-life riding experience. However, these studies are restricted to predicting the adoption of an automated bus by utilising cross-sectional data, but with no data to explore whether public attitudes and acceptance would change over time. To fill the research gap, a longitudinal survey was conducted. Using the panel data, the present study focuses on users with real-world riding experiences on automated buses operated in a mixed-traffic environment on public roads in Stockholm. Contributing to the longitudinal analysis of the public’s acceptance of automated buses, we develop a novel conceptual model integrating the service quality and the technology acceptance model (TAM). A dynamic structural equation model is employed to explore the changes in judging criteria regarding service adoption among adopters and non-adopters. The findings indicate that comfort and convenience are the most significant determinants of satisfaction and the perception of usefulness, which, in turn, positively affect people’s adoption intentions, as well as encouraging favourable word-of-mouth behaviour. It is expected that the provision of faster, safer, more comfortable and convenient riding experiences with automated buses will eventually increase the use of these buses, as well as improve word-of-mouth communication.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100909"},"PeriodicalIF":5.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The transformation of mobility in Europe: Technological change and social conditionings","authors":"Javier Turienzo ,&nbsp;Pablo Cabanelas ,&nbsp;Jesús F. Lampón ,&nbsp;Graham Parkhurst","doi":"10.1016/j.tbs.2024.100907","DOIUrl":"10.1016/j.tbs.2024.100907","url":null,"abstract":"<div><div>The mobility of persons is changing due to technological innovation linked to autonomous and electric vehicles or to connectivity and data communication technologies. Furthermore, it is being conditioned by social behaviours. Qualitative research based on in-depth interviews with experts in mobility from three European countries is used to analyse the main trends that characterize the current transformation of mobility. Results show that the transformation towards the new autonomous, connected, shared and electric mobility is not only driven by technological development, but mainly by social conditionings such as environmental values, behavioural change or adaptability to users’ habits, and socio-demographic features of citizens to adopt servitization. These changes involve different impacts depending on the segment or niche of population, especially in terms of different age groups. The main conclusion of the research is that the new mobility can be considered a social challenge rather than a technological one.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100907"},"PeriodicalIF":5.1,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142317825","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":"Ridehailing use, travel patterns and multimodality: A latent-class cluster analysis of one-week GPS-based travel diaries in California","authors":"Xiatian Iogansen ,&nbsp;Yongsung Lee ,&nbsp;Mischa Young ,&nbsp;Junia Compostella ,&nbsp;Giovanni Circella ,&nbsp;Alan Jenn","doi":"10.1016/j.tbs.2024.100855","DOIUrl":"10.1016/j.tbs.2024.100855","url":null,"abstract":"<div><div>Based on the analysis of one-week GPS-based travel diary data from the four largest metropolitan areas in California, this study performs a latent-class cluster analysis and identifies four distinctive traveler groups with varying levels of multimodality. These groups are characterized by their distinctive use of five travel modes (i.e., single-occupant vehicles, carpooling, public transit, biking, and walking) for both work and non-work trips. Two of these groups are more car-oriented and less multimodal (i.e., drive-alone users and carpoolers), whereas the other two are less car-oriented and display higher levels of multimodality (i.e., transit users and cyclists). Results from this study reveal the unique profiles of each traveler group in terms of their sociodemographic characteristics and built-environment attributes. The study further investigates the different characteristics of each traveler group in relation to ridehailing adoption, trip frequency and trip attributes. Transit users are found to have the highest rate of ridehailing adoption and usage. They are also more prone to use pooled ridehailing services in comparison to other groups. In terms of mode substitution, if ridehailing were not available, respondents tend to choose the mode they use most frequently. In other words, car-based travelers are more likely to substitute ridehailing trips with car trips, whereas non-car-based travelers are more likely to replace ridehailing with less-polluting modes. The findings from this study will prove valuable for transit agencies and policymakers interested in integrating ridehailing with other modes and promoting more multimodal and less car-dependent lifestyles.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100855"},"PeriodicalIF":5.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001182/pdfft?md5=b60d96ba7326fea7ca69571b190d1cd4&pid=1-s2.0-S2214367X24001182-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314361","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":"Influence of neighborhood walkability on older adults’ walking trips: Does income matter?","authors":"Kihyun Kwon ,&nbsp;Gulsah Akar","doi":"10.1016/j.tbs.2024.100912","DOIUrl":"10.1016/j.tbs.2024.100912","url":null,"abstract":"<div><div>This study examines the links between neighborhood walkability, household income, and older adults’ walking trips. This study mainly utilizes the detailed individual-level data from the 2017 National Household Travel Survey-California Add-on (2017 NHTS-CA). To understand neighborhood walkability and its effects on older adults’ walking trips, we first classify neighborhoods using <em>K</em>-means clustering algorithm based on neighborhood-built environment attributes and access to urban amenities. We then employ negative binomial regression models to analyze the determinants of older adults’ walking trips, with a focus on the effects of household income and neighborhood walkability. Key findings from our empirical analyses are as follows. First, older adults with physical disabilities tend to have fewer walk trips as compared to those without disabilities. Second, subjective health conditions are critical for older adults’ walking trips. Third, increasing household income decreases walking frequency. Fourth, after controlling for various other factors, older adults living in walkable neighborhoods have more frequent walking trips. Fifth, although an increase in household income leads to decreases in older adults’ walking trips, high neighborhood walkability moderates this effect and reduces the adverse effect on walking trip frequencies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100912"},"PeriodicalIF":5.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001753/pdfft?md5=7c3029a3b62a520679f642600e1ea2c4&pid=1-s2.0-S2214367X24001753-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314362","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":"Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data","authors":"Nima Aminpour,&nbsp;Saeid Saidi","doi":"10.1016/j.tbs.2024.100905","DOIUrl":"10.1016/j.tbs.2024.100905","url":null,"abstract":"<div><p>In this paper, a probabilistic topic modeling algorithm called Latent Dirichlet Allocation (LDA) is implemented to infer trip purposes from activity attributes revealed from smart card transit data in an unsupervised manner. While most literature focused on finding patterns for home and work activities, we further investigated non-home and non-work-related activities to detect patterns associated with them. Temporal attributes of activities are extracted from trip information recorded by Tehran subway’s automatic fare collection system. In addition, land-use data is also incorporated to further enhance spatial attributes for non-home/work activities. Various activity attributes such as start time, duration, and frequency in addition to land-use data are used to infer the activity purposes and patterns. We identified 14 different patterns related to non-commuting activities on the basis of both their temporal and spatial attributes including educational, recreational, commercial, and health and other service-related activity types. We investigated passengers’ activity pattern and behavior changes before and during COVID-19 pandemic by comparing the discovered patterns. For recreational patterns it is revealed that not only has the number of recreational patterns dropped, but also the duration of recreational activities decreased. Morning patterns of educational activities have also been eliminated and number of commercial activities was decreased during COVID-19. The proposed model demonstrates the ability to capture travel behavior changes for different disruptions using smart card transit data without performing costly and time consuming manual surveys which can be useful for authorties and decision makers.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100905"},"PeriodicalIF":5.1,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001686/pdfft?md5=b24f3d8772e0f500876ab35ece4cdfa0&pid=1-s2.0-S2214367X24001686-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274404","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":"Post-disaster decision-making framework for roadway networks considering social vulnerability","authors":"Eric Merschman,&nbsp;Mehrnaz Doustmohammadi,&nbsp;Abdullahi M. Salman,&nbsp;Michael Anderson","doi":"10.1016/j.tbs.2024.100910","DOIUrl":"10.1016/j.tbs.2024.100910","url":null,"abstract":"<div><p>Resilience is a characteristic of a system to adapt, resist and recover from disruptions as defined by the U.S. Federal Highway Administration. The concept has been adopted across several fields of research. Existing literature on roadway network resilience typically frames resilience in terms of performance metrics based on the attributes of the network (travel time or travel distance, for example). However, the impact of disruptions to roadway networks varies for different populations within communities because of various socioeconomic factors. While it is important to capture the performance characteristics of transportation networks to ensure goods and services can flow throughout a community, there also lies a need to consider the needs of populations in a community that are more vulnerable to disruptions due to limited mobility. This study aims to propose a framework for roadway network post-disaster recovery planning that considers the needs of socially vulnerable populations. Specific objectives of the study include: i) developing a geographic social vulnerability index (SVI) using census demographic data to quantify the extent to which communities may be considered “socially vulnerable” ii) integrating the index into an actionable decision framework for post-disaster bridge repair strategy and iii) demonstrating how the consideration of social vulnerability can influence network performance. By applying the framework to the Mobile Bay area in Alabama, the significance of including social vulnerability in resilience evaluation becomes evident.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100910"},"PeriodicalIF":5.1,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X2400173X/pdfft?md5=85e91780c272a91038ede3510caff40c&pid=1-s2.0-S2214367X2400173X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274402","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}