Travel Behaviour and Society最新文献_第8页

Optimizing Customized Bus Lines Considering Users' Transfer Willingness under Cooperative and Competitive Relationship between Metro and Online Car-hailing 考虑地铁与网约车合作与竞争关系下用户的换乘意愿，优化定制公交线路

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-13 DOI: 10.1016/j.tbs.2024.100878

Beibei Wang , Xinyi Qi

{"title":"Optimizing Customized Bus Lines Considering Users' Transfer Willingness under Cooperative and Competitive Relationship between Metro and Online Car-hailing","authors":"Beibei Wang , Xinyi Qi","doi":"10.1016/j.tbs.2024.100878","DOIUrl":"10.1016/j.tbs.2024.100878","url":null,"abstract":"<div><p>In the context of ‘carbon peak’ and ‘carbon neutrality’, coordinating individual travel demand through multi-modal transportation and guiding travelers towards new shared public transportation (PT) modes is increasingly important. In this paper, we analyze the competitive and cooperative relationship between online car-hailing (OCH) services and metro systems in Nanning, China, and conduct aquestionnaire survey among different types of OCH users. A mixed choice model that considers psychological latent variables is constructed to investigate OCH users’ attitudes and cognitions toward customized buses (CBs). An improved adaptive Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is proposed to identify potential carpooling station sets, and a hybrid genetic-ant colony algorithm (GACA) is designed to solve bi-level programming model for CB line optimization. Case study results indicate an 83.8% overall transfer rate from OCH users to CBs, with the optimized scheme achieving a 69.68% reduction in carbon emissions.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100878"},"PeriodicalIF":5.1,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001418/pdfft?md5=863896b929f8d581b28057a19d54e3f0&pid=1-s2.0-S2214367X24001418-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141979256","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}

引用次数: 0

Acceptance of hyperloop: Developing a model for hyperloop acceptance based on an empirical study in the Netherlands 接受超级高铁：根据荷兰的一项实证研究建立超级高铁接受度模型

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-12 DOI: 10.1016/j.tbs.2024.100887

Patrick Planing, Jorina Hilser, Anesa Aljovic

{"title":"Acceptance of hyperloop: Developing a model for hyperloop acceptance based on an empirical study in the Netherlands","authors":"Patrick Planing, Jorina Hilser, Anesa Aljovic","doi":"10.1016/j.tbs.2024.100887","DOIUrl":"10.1016/j.tbs.2024.100887","url":null,"abstract":"<div><p>Increasing urbanization is causing many challenges for mobility today, such as traffic jams and high carbon dioxide emissions. Hyperloop is a radical mobility innovation that could offer a potential solution for these issues. Since hyperloop is currently under development, overcoming technical and economic challenges and increasing its acceptance in society will decide the success of this innovative mode of transport. Currently, research on hyperloop user acceptance is limited. This study aims to identify users’ willingness to use the system and factors that determine support or rejection for hyperloop. Therefore, an acceptance model was proposed and then tested in an empirical study based on a sample consisting of <em>N</em> = 387 participants in the Netherlands. The results indicate that performance expectations (e.g., high speed, comfort, environmental advantages) support the acceptance of hyperloop. At the same time, safety concerns (e.g., technology failure, low-pressure environment) were identified as a rejection factor. Based on the results, interested stakeholders should consider the benefits, possible fears, and concerns regarding hyperloop in their communication. Future research should include experience opportunities with hyperloop to obtain more valid results.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100887"},"PeriodicalIF":5.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001509/pdfft?md5=827aa111eae306064a59e65e8adf3b8f&pid=1-s2.0-S2214367X24001509-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141954045","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}

引用次数: 0

Can bike sharing achieve self-balancing distribution? Evidence from dockless and station-based cases 共享单车能否实现自我平衡分配？来自无桩式和站点式案例的证据

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-10 DOI: 10.1016/j.tbs.2024.100879

Mingzhuang Hua , Xinlian Yu , Xuewu Chen , Jingxu Chen , Long Cheng

{"title":"Can bike sharing achieve self-balancing distribution? Evidence from dockless and station-based cases","authors":"Mingzhuang Hua , Xinlian Yu , Xuewu Chen , Jingxu Chen , Long Cheng","doi":"10.1016/j.tbs.2024.100879","DOIUrl":"10.1016/j.tbs.2024.100879","url":null,"abstract":"<div><p>In many cities, bike sharing systems, including station-based bike sharing (SBBS) and dockless bike sharing (DBS), are gaining popularity rapidly. Bike rebalancing is one of the most expensive aspects of bike sharing operations, and it takes several hours. In terms of reducing the inefficiencies of frequent short-term bike rebalancing, whether bike distribution achieves long-term self-balance for one day or even longer periods is a critical issue that has received insufficient attention. This paper aims to provide insights into long-term facility planning by investigating the self-balancing phenomenon of shared bikes. It is evaluated using daily stability analyses from the DBS case in Nanjing, China, and the SBBS case in New York, USA. DBS virtual stations were identified throughout the city, and (virtual) stations can be classified into four categories using various clustering methods. The findings demonstrate that 72% of DBS virtual stations and 81% of SBBS stations can achieve bike self-balancing, with only a few (virtual) stations failing to do so. In terms of non-self-balancing stations, bike-increasing stations are primarily located in the city center, whereas bike-fluctuating stations are primarily found near metro lines. This research can assist bike sharing companies with their daily operations and contribute to government management.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100879"},"PeriodicalIF":5.1,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X2400142X/pdfft?md5=4989a802d1cc8f73d89c0a3d50f88f90&pid=1-s2.0-S2214367X2400142X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964228","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}

引用次数: 0

Beyond binary relationship: Multivariant analysis between ride-hailing and public transit based on multi-sourcing data 超越二元关系：基于多源数据的打车服务与公共交通之间的多变量分析

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-10 DOI: 10.1016/j.tbs.2024.100876

Liangbin Cui, Yajuan Deng, Yu Bai, Qinxin Peng

{"title":"Beyond binary relationship: Multivariant analysis between ride-hailing and public transit based on multi-sourcing data","authors":"Liangbin Cui, Yajuan Deng, Yu Bai, Qinxin Peng","doi":"10.1016/j.tbs.2024.100876","DOIUrl":"10.1016/j.tbs.2024.100876","url":null,"abstract":"<div><p>The impact of ride-hailing (RH) as an emerging mode of travel service on public transit (PT) systems has been confirmed. However, the current research only views the relationship between PT and RH as competition or complementation based on macro statistics and travel time differences. In fact, the relationship is beyond binary, and it is partial to take the travel time difference as the only classification factor. We constructed a Gaussian mixture model (GMM) using RH data in Xi’an, and three indicators of travel time, cost, and service quality difference were used to classify the relationship between RH and PT. To clarify the factors influencing the relationship classifications, a Multinomial logistic model (MNL) was constructed with the built environment, economic factors, and travel purpose. The results show that the RH-PT relationship can be generally classified into four classifications: Competition (26.5%), RH superiority (47.7%), PT superiority (13.6%), and Irrelevance (12.2%). Competition occurs mainly around metro stations, RH superiority mainly during working hours in outer urban areas, and PT superiority is most widely distributed in the morning peak. POI density and the number of bus lines are positively correlated with Competition, RH superiority, and PT superiority. In addition, there is significant spatial heterogeneity in the RH-PT relationship, for which we constructed a Geographically weighted regression (GWR) model to analyze it. We find that the spatial heterogeneity may stem from the spatial autocorrelation and the spatial disparities in the distribution of regression coefficients. Therefore, policymakers should formulate policies to transform competition from multiple perspectives.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100876"},"PeriodicalIF":5.1,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X2400139X/pdfft?md5=ca67807e13121869b74d3512a19c5018&pid=1-s2.0-S2214367X2400139X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915236","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}

引用次数: 0

Optimizing urban car-sharing systems based on geospatial big data and machine learning: A spatio-temporal rebalancing perspective 基于地理空间大数据和机器学习的城市汽车共享系统优化：时空再平衡视角

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-09 DOI: 10.1016/j.tbs.2024.100875

He Li , Qiaoling Luo , Rui Li

{"title":"Optimizing urban car-sharing systems based on geospatial big data and machine learning: A spatio-temporal rebalancing perspective","authors":"He Li , Qiaoling Luo , Rui Li","doi":"10.1016/j.tbs.2024.100875","DOIUrl":"10.1016/j.tbs.2024.100875","url":null,"abstract":"<div><p>Car-sharing mobility is an emerging sustainable transportation mode, but it poses great challenges to operators and urban traffic management due to the imbalance between supply and demand across time and space. To address the problem, this research proposes a spatio-temporal rebalancing optimization framework for the urban car-sharing system (CSS) based on geospatial big data and machine learning. In the spatial dimension, we construct the urban car-sharing network data set using geospatial big data. The graph deep learning is used to mine the car-sharing space demand patterns for location planning. This data-driven graph neural network approach breaks through the limitations of complex mathematical models in the previous location planning and can cope with large-scale CSS in real time when data is available. In the temporal dimension, we construct a combined optimization model of dynamic relocation and pricing based on the optimized car-sharing station layout. A multi-threaded reinforcement learning algorithm is proposed to solve the optimal relocation and pricing scheme. Dynamic relocation and pricing strategies are obtained by reinforcement learning algorithms based on accumulated historical operational data and real-time market demand, aiming at maximizing profits and optimizing resource utilization. The simulation results show that the combined optimization model of dynamic relocation and pricing provides a more effective solution than the non-combined model. The proposed optimization framework provides systematic decision support for solving urban CSS supply–demand imbalance and yields extensive theoretical and practical implications, especially in urban traffic management.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100875"},"PeriodicalIF":5.1,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001388/pdfft?md5=3a189317f26a2d2826162d3f4244096c&pid=1-s2.0-S2214367X24001388-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915244","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}

引用次数: 0

Perceived discrimination, transit use, and walking behavior during the COVID-19 pandemic: Evidence from the Understanding America Study COVID-19 大流行期间的歧视感、公交使用和步行行为：来自 "了解美国研究 "的证据

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-07 DOI: 10.1016/j.tbs.2024.100871

Abigail L. Cochran , Jueyu Wang , Evan Iacobucci

{"title":"Perceived discrimination, transit use, and walking behavior during the COVID-19 pandemic: Evidence from the Understanding America Study","authors":"Abigail L. Cochran , Jueyu Wang , Evan Iacobucci","doi":"10.1016/j.tbs.2024.100871","DOIUrl":"10.1016/j.tbs.2024.100871","url":null,"abstract":"<div><p>A rise in reporting and media coverage of negative social interactions and experiences of racism in transit and other public environments suggests that perceived discrimination may have affected the travel behavior and health of people of color during the COVID-19 pandemic. In this study, to examine relationships between race, perceived discrimination, transit use, and walking behavior, we draw on data collected in 20 waves of the Understanding America Study (UAS) COVID-19 tracking survey, fielded July 2020–July 2021. Importantly, we find that transit use among minorities continued during the pandemic at higher rates, especially among Black and Hispanic respondents, despite non-White respondents reporting more frequent perceptions of discrimination. Our linear mixed-effect model results further indicate that non-White respondents were notably more likely to use transit. Examining walking behavior, we find that White and Asian respondents consistently reported more walking than Black and Hispanic respondents, even when controlling for income. Crucially, we found that in the presence of controls, while large disparities were observed in both walking and transit behavior based on race, perceived discrimination had little to no effect. While disparities in travel behavior based on race are evidently better explained by structural factors as opposed to overt, individual-level discrimination, planners, policymakers, and designers should nevertheless give greater consideration to micro- and macro-scale interventions that facilitate safe transit use and walking for racial and ethnic minorities.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100871"},"PeriodicalIF":5.1,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001340/pdfft?md5=1eff942ba3a43c5f6349869676950e9c&pid=1-s2.0-S2214367X24001340-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915247","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}

引用次数: 0

Analysis of passenger perception heterogeneity and differentiated service strategy for air-rail intermodal travel 空铁联运旅客感知异质性和差异化服务策略分析

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-06 DOI: 10.1016/j.tbs.2024.100872

Ziyi Zhou , Long Cheng , Min Yang , Lichao Wang , WeiJie Chen , Jian Gong , Jie Zou

{"title":"Analysis of passenger perception heterogeneity and differentiated service strategy for air-rail intermodal travel","authors":"Ziyi Zhou , Long Cheng , Min Yang , Lichao Wang , WeiJie Chen , Jian Gong , Jie Zou","doi":"10.1016/j.tbs.2024.100872","DOIUrl":"10.1016/j.tbs.2024.100872","url":null,"abstract":"<div><p>Air-rail intermodal services (ARISs) represent a highly promising multimodal solution within the transportation sector. Nonetheless, various uncertainties and challenges persist across multiple dimensions of air-rail interline travel, with discrepancies in passenger perceptions being a notable aspect. In an effort to pinpoint the pivotal factors contributing to these disparities among distinct passenger profiles, this study employs the Structural Equation Modeling-Multiple Indicator Multiple Cause-Artificial Neural Network (SEM-MIMIC-ANN) methodology. This approach explores the impact of numerous attributes on passenger perceptions in the context of air-rail intermodal travel, leveraging questionnaire data gathered from Shijiazhuang multimodal passengers. Furthermore, the study utilizes the Classification and Regression Tree (CART) decision tree algorithm to categorize actual passengers into distinct characteristic groups. Subsequently, the perception levels of these diverse passenger groups are quantified through the calculation of comprehensive evaluation function values. In conclusion, taking into account the real-world conditions of air-rail interline travel, this research formulates a tailored service strategy aimed at enhancing the overall passenger experience.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"37 ","pages":"Article 100872"},"PeriodicalIF":5.1,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915242","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}

引用次数: 0

Integrated travel path guidance for metro-bikeshare users considering system operational budget costs using smart card data 利用智能卡数据考虑系统运营预算成本，为地铁共享单车用户提供综合出行路径指导

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-08-02 DOI: 10.1016/j.tbs.2024.100874

Yang Liu , Tao Feng , Zhuangbin Shi , Xinwei Ma , Mingwei He

{"title":"Integrated travel path guidance for metro-bikeshare users considering system operational budget costs using smart card data","authors":"Yang Liu , Tao Feng , Zhuangbin Shi , Xinwei Ma , Mingwei He","doi":"10.1016/j.tbs.2024.100874","DOIUrl":"10.1016/j.tbs.2024.100874","url":null,"abstract":"<div><p>Metro-bikeshare integration has emerged as a major sustainable mode of transportation for medium and long-distance travelers in various cities. To enhance the satisfaction of integrated metro-bikeshare users and improve the efficiency of urban multimodal transportation systems, this paper proposes integrated path guidance strategies for metro-bikeshare users, tailored to the diverse preferences of individuals. Using the actual smart card data collected from Nanjing, China, a path optimization model is developed to maximize integrated benefits within the metro-bikeshare multimodal network. These benefits include enhancing the overall travel utility of users, reducing the dispatching cost of shared bikes and realizing the load balance of passenger flow. The results show that an 8.89 % increase in total travel utility for all users though the optimization of travel path for 12.51 % of metro-bikeshare users, coupled with an average dispatching frequency of 1.18 times for each transfer node. Furthermore, tailored combined travel path optimization strategies are suggested for “first kilometer”, “last kilometer”, female, male, regular and non-regular users. These findings are helpful for governments and enterprises to formulate personalized path schemes and corresponding path guidance services for metro-bikeshare users.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"37 ","pages":"Article 100874"},"PeriodicalIF":5.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951675","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}

引用次数: 0

The impact of the social-built environment on the inequity of bike-sharing use: A case study of Divvy system in Chicago 社会建筑环境对共享单车使用不平等的影响：芝加哥 Divvy 系统案例研究

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-07-28 DOI: 10.1016/j.tbs.2024.100873

Bo Wang , Yuanyuan Guo , Fang Chen , Fengliang Tang

{"title":"The impact of the social-built environment on the inequity of bike-sharing use: A case study of Divvy system in Chicago","authors":"Bo Wang , Yuanyuan Guo , Fang Chen , Fengliang Tang","doi":"10.1016/j.tbs.2024.100873","DOIUrl":"10.1016/j.tbs.2024.100873","url":null,"abstract":"<div><p>Bikeshare is increasingly recognized as a healthy travel behaviour worldwide. However, issues of inequity in bike-sharing usage exist and hinder the social benefits of bike-sharing system. This paper aims to unveil the spatiotemporal evolution of inequalities in bike-sharing usage and their social-built environment correlates, using Chicago’s Divvy system as a case study. Specifically, Gini coefficients and panel data regression models are applied to analyse equity concerns in bike-sharing uses and its social-built environmental factors. Thirty-two disadvantaged communities and forty-five non-disadvantaged communities are identified based on ethnicity, income, and education levels. The Gini index indicates a greater level of inequity and inconsistency in bike-sharing usage within disadvantaged communities compared to non-disadvantaged communities over time. Model results further reveal that built environment factors such as park space positively impact equitable bike-sharing uses in disadvantaged communities. In contrast, the social factor of educational levels in non-disadvantaged communities shows a negative relationship. These findings aim to promote essential, efficient, and equitable bike-sharing usage for Chicago, stakeholders and users.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"37 ","pages":"Article 100873"},"PeriodicalIF":5.1,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141892018","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}

引用次数: 0

An evaluation of on-demand transit user and interested-non-user characteristics and the factors that attract the transit-curious to using on-demand transit 评估按需公交用户和感兴趣的非用户特征，以及吸引公交狂热者使用按需公交的因素

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2024-07-27 DOI: 10.1016/j.tbs.2024.100868

Juwon Drake , Kari Watkins

{"title":"An evaluation of on-demand transit user and interested-non-user characteristics and the factors that attract the transit-curious to using on-demand transit","authors":"Juwon Drake , Kari Watkins","doi":"10.1016/j.tbs.2024.100868","DOIUrl":"10.1016/j.tbs.2024.100868","url":null,"abstract":"<div><p>With the advent of new mobility modes and technologies, we have seen meaningful changes in travel behavior. One such new mobility mode is on-demand transit. The Metropolitan Atlanta Rapid Transit Authority deployed its own on-demand transit system, dubbed MARTA Reach, in March of 2022. This paper provides an evaluation of the characteristics of two groups of people related to MARTA Reach: those who were interested in it and used it and those who were interested in it but did not use it. In addition, this paper explores the factors that influence membership in each of those two groups using a binary logit model, revealing the underlying characteristics that are linked with the decision to use or not use the service given prior interest. The findings show that simply providing more service has the strongest effect on adoption. Among 561 survey respondents, 426 expressed that the service area for MARTA Reach was too limited for their needs. Modeling results support this finding, in addition to the following strong predictors of on-demand transit adoption: 1) being a frequent transit user, 2) being satisfied with the current state of fixed-route transit service, 3) being part of a low-income household, 4) living within an on-demand transit service area, and 5) being younger. Understanding these group characteristics and underlying factors can help guide future efforts to provide on-demand transit service, such as by targeting the market segments that share features with the underlying factors that are shown herein to be linked with on-demand transit adoption.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"37 ","pages":"Article 100868"},"PeriodicalIF":5.1,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915258","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}

引用次数: 0