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

被引:0
|
作者
Drake, Juwon [1 ]
Watkins, Kari [2 ]
机构
[1] Georgia Inst Technol, 788 Atlantic Dr NW, Atlanta, GA 30332 USA
[2] Univ Calif Davis, 841 Eureka Ave, Davis, CA 95616 USA
基金
美国国家科学基金会;
关键词
Microtransit; On-demand transit; Demand responsive transportation; Emerging mobility; User surveys; Mode choice;
D O I
10.1016/j.tbs.2024.100868
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
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 ondemand transit adoption.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] On-demand transit user preference analysis using hybrid choice models
    Alsaleh, Nael
    Farooq, Bilal
    Zhang, Yixue
    Farber, Steven
    JOURNAL OF CHOICE MODELLING, 2023, 49
  • [2] Measuring Transit Equity of an On-Demand Multimodal Transit System
    Hwang, Uijeong
    Lieu, Seung Jae
    Guan, Hongzhao
    Dalmeijer, Kevin
    van Hentenryck, Pascal
    Guhathakurta, Subhrajit
    JOURNAL OF THE AMERICAN PLANNING ASSOCIATION, 2025, 91 (01) : 72 - 87
  • [3] Assessing service characteristics of an automated transit on-demand service
    Rath, Yves M.
    Balac, Milos
    Horl, Sebastian
    Axhausen, Kay W.
    JOURNAL OF URBAN MOBILITY, 2023, 3
  • [4] Bilevel Optimization for On-Demand Multimodal Transit Systems
    Basciftci, Beste
    Van Hentenryck, Pascal
    INTEGRATION OF CONSTRAINT PROGRAMMING, ARTIFICIAL INTELLIGENCE, AND OPERATIONS RESEARCH, CPAIOR 2020, 2020, 12296 : 52 - 68
  • [5] Directionality-centric bus transit network segmentation for on-demand public transit
    Perera, Thilina
    Wijesundera, Deshya
    Wijerathna, Lahiru
    Srikanthan, Thambipillai
    IET INTELLIGENT TRANSPORT SYSTEMS, 2020, 14 (13) : 1871 - 1881
  • [6] Interpretable data-driven demand modelling for on-demand transit services
    Alsaleh, Nael
    Farooq, Bilal
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2021, 154 : 1 - 22
  • [7] Resiliency of on-demand multimodal transit systems during a pandemic
    Auad, Ramon
    Dalmeijer, Kevin
    Riley, Connor
    Santanam, Tejas
    Trasatti, Anthony
    Van Hentenryck, Pascal
    Zhang, Hanyu
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 133
  • [8] Ridesharing and fleet sizing for On-Demand Multimodal Transit Systems
    Auad-Perez, Ramon
    Van Hentenryck, Pascal
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 138
  • [9] Ridesharing and fleet sizing for On-Demand Multimodal Transit Systems
    Auad-Perez, Ramon
    Van Hentenryck, Pascal
    Transportation Research Part C: Emerging Technologies, 2022, 138
  • [10] On-Demand Public Transit: A Markovian Continuous Approximation Model
    Silva, Daniel F.
    Vinel, Alexander
    Kirkici, Bekircan
    TRANSPORTATION SCIENCE, 2022, 56 (03) : 704 - 724