Travel Behaviour and Society最新文献

{"title":"Evaluating multimodal transportation’s impact on city attractiveness: A machine learning approach","authors":"Junmei Cheng ,&nbsp;Zhenhua Chen","doi":"10.1016/j.tbs.2024.100932","DOIUrl":"10.1016/j.tbs.2024.100932","url":null,"abstract":"<div><div>Intercity transportation infrastructure plays a vital role in promoting urban development by enhancing accessibility. Efficient resource allocation for developing various transportation modes is essential for policymakers. The advent of high-speed rail (HSR) has sparked increased interest in comparing multimodal transportation infrastructures, such as railways, highways, and aviation. Previous studies have examined these systems from multiple perspectives, including cost, operation, modal choice, network structure, and socioeconomic impact. However, their influence on city attractiveness remains unclear. This study aims to address this gap by utilizing machine learning models, including Principal Component Analysis (PCA) and Gradient Boosting Decision Tree (GBDT), to compare the impact of railways, highways, and aviation on city attractiveness. The analysis employs data from 286 prefecture-level cities in China from 2002 to 2018. The results indicate that HSR has a relatively higher importance in predicting city attractiveness compared to highways and aviation, particularly during the rapid development period of HSR from 2008 to 2018 in China. The analysis also reveals the threshold effects of transportation infrastructure on city attractiveness. This study offers valuable insights for policymakers to improve city attractiveness. The findings help prioritize different transportation infrastructures and determine the optimal scale of infrastructure deployment.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100932"},"PeriodicalIF":5.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536295","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":"Inclusive intervention design for vulnerable road users: Applying co-design and behaviour change model in Bangladesh","authors":"M. Shaheen Sarker ,&nbsp;Oliver Carsten ,&nbsp;Yue Huang ,&nbsp;Foroogh Hajiseyedjavadi","doi":"10.1016/j.tbs.2024.100935","DOIUrl":"10.1016/j.tbs.2024.100935","url":null,"abstract":"<div><div>In developing countries, it is debatable whether poor design of facilities or violation of traffic rules by road users is the leading cause of pedestrian injuries and deaths. Professionals, pedestrians and drivers tend to blame each other. Shared responsibility for road safety is crucial for protecting vulnerable road users such as commuting students and workers who face higher injury risks while crossing highways. While the Safe System approach emphasises authorities’ responsibility for safe facilities, understanding user needs and promoting behaviour change remain underexplored. This study investigates the current design practices in Bangladesh. It compares the impact of conventional design with co-design on intervention quality and examines the further benefits of integrating a behaviour change model ‘COM-B’.</div><div>Local road agency professionals applied the design process and suggested interventions at four highway sites. Subsequently, four focus group sessions were conducted with students and workers, followed by four design workshops. In each workshop, participants were randomly assigned to two design groups (without and with the application of the behaviour change model), where they designed interventions facilitated by professionals. Lastly, perception ratings of stakeholders and safety assessments by four experts were conducted to evaluate the efficacy of all interventions.</div><div>The findings highlight major usability problems in conventional designs, while co-designed interventions demonstrate clear improvements. Notably, integrating a behaviour change model further enhances effectiveness. Stakeholder interviews reveal that co-design fosters shared responsibility and addresses the blame culture. The co-design approach and application of the behaviour change model can address design flaws and promote the proper use of facilities.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100935"},"PeriodicalIF":5.1,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535855","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":"Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida","authors":"Yu Han ,&nbsp;Wei Zhai ,&nbsp;Pallab Mozumder ,&nbsp;Cees van Westen ,&nbsp;Changjie Chen","doi":"10.1016/j.tbs.2024.100933","DOIUrl":"10.1016/j.tbs.2024.100933","url":null,"abstract":"<div><div>Given the destructive nature of hurricanes in tropical regions, pre-disaster evacuation has emerged as a critical approach for hurricane preparedness. Nevertheless, the compounding effects of natural hazards and the outbreak of infectious diseases, such as Covid-19, significantly challenge hurricane evacuation management. To investigate emergency responses under compound hazards, this study develops an activity-based model to measure the evacuation behaviors of individuals, using Hurricane Irma as a case study. Four scenarios are designed, including a single hurricane hazard, Hurricane Irma compounded with a pandemic like Covid-19, Hurricane Irma compounded with flood damage to the transportation network, and a combination of all these hazards. The metropolis-hasting algorithm is utilized to generate a population with socioeconomic attributes, which is then allocated to census block groups covering Palm Beach, Broward, Miami-Dade, and Monroe Counties in Florida. Datasets from multiple sources are used to measure evacuation decisions, which are subsequently simulated using MATSim. The results highlight the potential impacts of compound hazards on transportation systems, including increased congestions in scenarios involving compounded hurricanes and floods, especially between 10 a.m. and 7p.m. Moreover, a higher proportion of socially vulnerable populations is observed in scenarios involving compounded hurricanes and pandemics, particularly in the Key West area. The developed model could be further applied to measure the indirect impacts of natural hazards on transportation systems.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100933"},"PeriodicalIF":5.1,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535856","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":"The landscape of contemporary paratransit research: A critical systematic review of the literature in the US and Canada","authors":"Theodore Collins ,&nbsp;Léa Ravensbergen ,&nbsp;Mischa Young","doi":"10.1016/j.tbs.2024.100930","DOIUrl":"10.1016/j.tbs.2024.100930","url":null,"abstract":"<div><div>In the United States (US) and Canada, paratransit refers to transportation services that supplement scheduled, fixed route, mass transit to eligible passengers, namely people with disabilities and a growing number of older adults. This paper presents a critical systematic review of the literature on paratransit in the US and Canada since 2010 (n = 57), investigating what is known about paratransit, as well as the methodological and conceptual approaches privileged in this literature. Three separate approaches to the study of paratransit were identified. The first approach is paratransit modeling (n = 22). Under this approach, papers focus on demand modeling and route optimization (n = 12), cost optimization (n = 6), or quality of service and system information management (n = 4). Papers under the second approach, alternatives (n = 15), all propose different ways to provide paratransit services, including public–private partnerships (n = 6), autonomous vehicle technologies (n = 5), and the diversion of current paratransit user toward other modes (n = 4). Thirdly, many papers examine current services (n = 20), relating to system performance (n = 9), operational considerations (n = 7), or user perspectives (n = 4). When combined with a strong bias toward quantitative studies (77%) the perspectives of paratransit users are under-represented in the literature, over-shadowed by a focus on cost-cutting and improving operational efficiency. These trends are discussed in relation to neoliberalism and Critical Ableist Studies. Future research should directly involve paratransit users, engage in theory, and embrace qualitative methods.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100930"},"PeriodicalIF":5.1,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535854","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":"User characteristics and preferences for micromobility use in first- and last-mile journeys in Dublin, Ireland","authors":"Giulia Oeschger ,&nbsp;Brian Caulfield ,&nbsp;Páraic Carroll","doi":"10.1016/j.tbs.2024.100926","DOIUrl":"10.1016/j.tbs.2024.100926","url":null,"abstract":"<div><div>Micromobility and public transport integration is an area of urban mobility that has been increasingly gaining attention and importance. The necessity to provide improvements to public transport services and their spatial reach in order to reduce the number and volume of car trips in cities is irrefutable. The integration of micromobility and public transport is often presented as a valuable strategy to improve door-to-door connectivity and coverage of existing public transport services, via provision of key first- and last-mile or access-egress connections. The aim of this study was to understand and model the propensity of commuters in County Dublin to use micromobility (private and shared) in the first- and last-miles of their public transport journeys. A stated preference experiment was conducted with a focus on these specific segments of the journey and a mixed logit model was estimated to identify user characteristics and preferences based on socio-economic factors, mobility patterns and attitudes towards and previous experience of shared mobility. The results show that, in this particular case study, respondents with a strong walking preference were less likely to be interested in private micromobility and sharing services for the first- and last-mile. A common assumption that walking is a last resort, and only chosen when there are no other options available was not confirmed by the findings of this study. Moreover, competition between the modes showed that private bicycles are the preferred mode after walking, followed by private e-scooters, while shared modes were less likely to be chosen over walking, and shared e-scooters less so than shared bicycles. Overall, the findings suggest that a small percentage of the sample – mainly young (&lt;35 years old) and male respondents with interest in and experience of e-scooters – were interested in using private and shared e-scooters for the first- and last-mile, but that the majority of the respondents were likely to choose walking, albeit with longer travel times overall.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100926"},"PeriodicalIF":5.1,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535853","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":"Heterogeneity in electric taxi charging behavior: Association with travel service characteristics","authors":"Haiming Cai ,&nbsp;Binliang Li ,&nbsp;Wu Li ,&nbsp;Jian Wang","doi":"10.1016/j.tbs.2024.100917","DOIUrl":"10.1016/j.tbs.2024.100917","url":null,"abstract":"<div><div>A comprehensive understanding of charging behaviors among electric vehicle users is crucial for advancing green transportation and deploying effective charging infrastructure. This study conducted large-scale empirical research using data from electric taxi fleets in Shenzhen to explore the heterogeneity of charging behaviors among taxi drivers. The study hypothesized that distinct charging patterns exist within the electric taxi fleet, impacting fleet-wide fluctuations and repetitions of charging and service activities. Employing a covariate-enhanced latent profile analysis model, we examined unique charging patterns within the fleet and investigated relationships between taxi service attributes and charging behavior heterogeneity. Fleet-wide diurnal fluctuations, daily repetitions, and subgroup-specific charging patterns were identified. At the micro level, operational activity sequence similarity and between-group diversity were assessed. The findings offer valuable insights for policymakers and stakeholders involved in promoting green transportation and optimizing charging infrastructure.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100917"},"PeriodicalIF":5.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437878","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":"Reallocation of time after an exogenous reduction in mandatory travel: transport, work, and leisure in Chilean two-worker two-gender households","authors":"Sergio Jara-Diaz ,&nbsp;Sebastian Astroza ,&nbsp;Diego Candia ,&nbsp;Monserrat Morales","doi":"10.1016/j.tbs.2024.100925","DOIUrl":"10.1016/j.tbs.2024.100925","url":null,"abstract":"<div><div>A two-step model framework is proposed and applied to analyze empirically the impact of a travel time reduction on labor supply in two-worker two-gender households, using a nationwide data set for time use collected in 2015 in Chile. First, a system of structural equations (SSE) is estimated to reveal which activities can be considered as committed, and to unveil the hierarchy of activities by gender undertaken by the household workers to help defining the labor supply model. Then a quadratic formulation including committed time for each individual and committed expenses for the family is applied to the time-use data to estimate a labor supply model, considering the findings with the SSE (hierarchy and committed activities). Results were obtained controlling for household size, region, and age, showing systematically that labor supply diminishes with the wage rates of either working member of the household (a forward falling shape), that committed expenses induces more work, and that diminishing mandatory travel time induces an increase in working hours that varies between 27 and 64 percent of the liberated time, in line with 2023 reports on the reallocation of liberated travel time due to remote working and confirming the theoretical findings by Jara-Diaz and Contreras (2024).</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100925"},"PeriodicalIF":5.1,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434385","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":"Heterogeneity in route choice during peak hours: Implications on travel demand management","authors":"Jihao Deng ,&nbsp;Tianhao Li ,&nbsp;Zhiwei Yang ,&nbsp;Quan Yuan ,&nbsp;Xiaohong Chen","doi":"10.1016/j.tbs.2024.100922","DOIUrl":"10.1016/j.tbs.2024.100922","url":null,"abstract":"<div><div>Traffic congestion has imposed considerable economic expenses and environmental challenges on metropolitan areas. Consequently, cities have implemented Travel Demand Management (TDM) strategies to mitigate this issue during peak hours. Although studies have investigated how individuals make decisions during commuting in response to TDM incentives, there is limited research on differences in route choices between trips to and from work, making the policies less effective. This study aims to fill this gap by using trajectory data from over 3,000 vehicles and examines the impacts of time-varying features, route characteristics, and built environment factors on route variability. Results indicate that factors such as expressway proportion, travel cost, and road density at the origin and destination locations have similar effects on route variability during morning and evening commuting. However, departure time, travel distance, and the number of traffic lights significantly differ in impacting route variability between the two scenarios. This study provides a foundation for optimizing route choices and alleviating traffic emissions during peak hours through advanced TDM measures. With more detailed and deliberate policies, citizens can enjoy urban mobility within a well-organized road network in a more sustainable and efficient way.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100922"},"PeriodicalIF":5.1,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420389","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":"Inferring in-home/out-of-home situations unreported in time-use surveys using supervised machine learning","authors":"Shunsuke Arao,&nbsp;Takuya Maruyama","doi":"10.1016/j.tbs.2024.100928","DOIUrl":"10.1016/j.tbs.2024.100928","url":null,"abstract":"<div><div>Time-use surveys provide useful data for travel analyses. However, the survey on time use and leisure activities (TULA) Questionnaire A, a representative time-use survey in Japan, does not include questions related to the locations of activities, thus making it difficult to use for travel analyses. This study proposes machine-learning methods to determine the in-home/out-of-home situations of TULA Questionnaire A using TULA Questionnaire B with activity locations as the training data. Random forest performs better than logistic regression and decision trees in the inference. The activity was the most important factor in determining the in-home/out-of-home situations, followed by the accompanying person and time of day. The inferred outputs in the TULA Questionnaire A included the individual-based out-of-home rate profiles and the proportions of mobile persons from 1996 to 2016. Using these outputs, we analyzed trip misreporting in household travel surveys. Comparisons with nationwide and Tokyo person trip (PT) surveys implied soft refusals and trip misreporting in travel surveys. The comparison with the nationwide PT surveys suggested higher soft refusals on weekends than on weekdays. The comparison with the 1998, 2008, and 2018 Tokyo PT surveys implied the increased soft refusal in PT surveys, particularly among the male group aged between 20 and 39 and the female group aged between 35 and 49 during 1998–2018. These results suggest that careful handling of recent household travel survey data may be required. In addition, the proposed machine-learning-based method enables us to utilize the rich sample of Questionnaire A for activity-based travel analysis in future studies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100928"},"PeriodicalIF":5.1,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420386","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":"Free interchange for better transit? Assessing the multi-dimensional impacts on metro to bus interchange behavior − insights from an explainable machine learning method","authors":"Tianqi Gu ,&nbsp;Kaihan Zhang ,&nbsp;Weiping Xu ,&nbsp;Chutian Zhuang ,&nbsp;Zhonghui Jiang ,&nbsp;Inhi Kim ,&nbsp;Hyungchul Chung","doi":"10.1016/j.tbs.2024.100923","DOIUrl":"10.1016/j.tbs.2024.100923","url":null,"abstract":"<div><div>This study investigates the impact of a newly implemented public transport interchange discount policy in Suzhou, China, focusing on its effects on metro-to-bus interchange behaviors across various spatial and temporal dimensions. Utilizing two distinct datasets spanning periods before and after the policy’s implementation, a comprehensive spatial–temporal analysis was conducted, covering weekdays, weekends, and holidays. A novel, real-time, distance-weighted methodology was developed to more accurately identify metro-to-bus interchange catchments, thereby refining the modeling scope. The study examines the interplay between land use, socio-demographic factors, and bus-related attributes—including a newly proposed operation-opportunity combined bus accessibility metric—using an explainable machine learning approach. Results indicate that the interchange discount policy has had an overall positive, though varied, impact on interchange behaviors, with the most pronounced effects observed during weekdays in central urban areas and at metro line bends. Specifically, 76.1 % of metro stations saw an increase in metro-to-bus interchange ratios on weekdays following the policy’s implementation, with increases observed at 66.4 % and 67.3 % of stations during weekends and holidays, respectively. Overall, the interchange ratio increased by 12.49 %, with a 17.45 % increase on weekdays. The analysis also reveals that factors such as bus accessibility, bus-to-bus interchange, and population density exhibit different effects depending on the time of week, with non-linear patterns emerging. The policy’s introduction shifted the impact thresholds for certain factors, initially triggering competition between bus and metro services but eventually leading to a synergistic rise in metro-to-bus transfers as bus-to-bus interchange ratios increased. Additionally, the policy altered the significance of population density, enhancing the attractiveness of multimodal interchange for users who previously favored other modes of transport.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100923"},"PeriodicalIF":5.1,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420388","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}