The Preferences of Shared Micro-Mobility Users in Urban Areas

被引:11
|
作者
Jaber, Ahmed [1 ]
Hamadneh, Jamil [2 ]
Csonka, Balint [1 ]
机构
[1] Budapest Univ Technol & Econ, Fac Transportat Engn & Vehicle Engn, Dept Transport Technol & Econ, H-1111 Budapest, Hungary
[2] Palestine Tech Univ Kadoorie, Fac Engn & Technol, Dept Bldg Rd & Space Engn, Tulkarm, Palestine
关键词
Discrete choice modeling; micro-mobility; transport mode choice; travel behavior; VOT; TRAVEL-TIME SAVINGS; DISCRETE-CHOICE EXPERIMENTS; HEALTH-CARE; MODELS;
D O I
10.1109/ACCESS.2023.3297083
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This research focuses on the preferences of micro-mobility users in urban areas, specifically shared electric bikes (e-bikes), shared conventional bikes (bike), and shared electric scooters (e-scooters). It is found that previous scholars study traveler preferences of traditional transport modes while limited attention has been given to preferences of travelers toward micro-mobility considering electric scooters and bikes over conventional bikes. In order to address this gap, a discrete choice modeling approach is used to study the preferences of people through developing a transport choice model. A discrete choice experiment (DCE) is designed where choice sets that combine the shared micro transport modes where three associated attributes and four levels are included in the DCE for each alternative. A stated preference (SP) survey is designed and distributed in Budapest, Hungary. This research focuses on urban areas where travel time is relatively short. Multinomial Logit (MNL) model is applied where a transport choice model is developed. The effect of several factors on the preferences of people toward the three micro transport modes are evaluated. The developed transport choice model includes trip time, trip cost, walking distance, parking characteristics, and socio-demographic factors. The results indicate that travelers prefer using bikes more than e-bikes and e-scooters. Furthermore, it is found that e-scooter is the least favored by travelers. It is noteworthy that car drivers, individuals with access to or frequent usage of micro-mobility, graduate students, full-time workers, males, and young people are more willing to use shared electric micro-mobility services. The probability of choosing a transport mode based on the changes on parking type attribute is estimated in this research. The results show that travelers prefer free floating parking when they use shared electric micro-mobility services. This research underscores the significance of parking type (docks or dockless) and socio-demographic variables when it comes to micro-mobility modes in urban areas. It is evident that shared electric micro-mobility options require more effort and policy support to be effectively implemented, as shared conventional bikes appear more appealing to users. Overall, these findings contribute to the understanding of micro-mobility preferences and highlight areas for further exploration and potential policy interventions.
引用
收藏
页码:74458 / 74472
页数:15
相关论文
共 50 条
  • [1] Understanding and planning shared micro-mobility
    Zhou Jiangping
    Wadud, Zia
    Jiao, Jingjuan
    Wang, Yacan
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2022, 103
  • [2] On the simulation of shared autonomous micro-mobility
    Sanchez, Naroa Coretti
    Martinez, Inigo
    Pastor, Luis Alonso
    Larson, Kent
    COMMUNICATIONS IN TRANSPORTATION RESEARCH, 2022, 2
  • [3] Determining the Location of Shared Electric Micro-Mobility Stations in Urban Environment
    Jaber, Ahmed
    Ashqar, Huthaifa
    Csonka, Balint
    URBAN SCIENCE, 2024, 8 (02)
  • [4] Shared autonomous micro-mobility for walkable cities
    Sanchez, Naroa Coretti
    Larson, Kent
    TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2024, 27
  • [5] Shared micro-mobility patterns as measures of city similarity
    McKenzie, Grant
    MOVE++ 2019: PROCEEDINGS OF THE 1ST ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON COMPUTING WITH MULTIFACETED MOVEMENT DATA, 2019,
  • [6] Micro-mobility and Micro-mobility's Status Quo in Greece
    Mavrogenidou, Panagiota
    Polydoropoulou, Amalia
    Tsirimpa, Athena
    SMART ENERGY FOR SMART TRANSPORT, CSUM2022, 2023, : 1161 - 1176
  • [7] Analysis of residents' stated preferences of shared micro-mobility devices using regression-text mining approach
    Kutela, Boniphace
    Novat, Norris
    Adanu, Emmanuel Kofi
    Kidando, Emmanuel
    Langa, Neema
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2022, 45 (02) : 159 - 178
  • [8] Geographies of bike-sharing and emerging forms of shared micro-mobility
    Curl, Angela
    Clark, Julie
    Anaya-Boig, Esther
    JOURNAL OF TRANSPORT GEOGRAPHY, 2024, 117
  • [9] Shared Micro-mobility: Technologies, Challenges and Prospects of Using Collected Data
    Swessi, Rania
    EL Khalfi, Zeineb
    DISTRIBUTED COMPUTING FOR EMERGING SMART NETWORKS, DICES-N 2023, 2024, 2041 : 41 - 55