The effect of shared e-scooter programs on modal shift: Evidence from Sweden

被引:9
|
作者
Kazemzadeh, Khashayar [1 ,2 ]
Sprei, Frances [2 ]
机构
[1] Univ Leeds, Inst Transport Studies, Leeds, England
[2] Chalmers Univ Technol, Space Earth & Environm, S-41296 Gothenburg, Sweden
关键词
Electric scooter; Modal substitution; Transport planning; Sustainable mobility; PROPENSITY SCORE; USAGE PATTERNS; BIKE-SHARE; WASHINGTON; DETERMINANTS; ENVIRONMENTS; TRIPS; MODEL;
D O I
10.1016/j.scs.2023.105097
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Fostering sustainable cities necessitates a significant paradigm shift from motorised vehicles to active mobility. However, the impact of emerging transport modes like e-scooters in this transition remains unclear. To explore the potential of this shift, we polled 805 (non)users of e-scooters in Sweden via an online survey to explore (i) who are e-scooter users and (ii) how e-scooter use affects the probability of modal substitution for users. The propensity score matching method was used to obtain unbiased estimates of e-scooter usage impact on modal substitution and to construct an artificial control group, overcoming potential biases present in previous studies that exclusively surveyed e-scooter users. We found that e-scooter users are more likely to have a high-paying job, a driving license, own an e-bike and car, and public transport cards, suggesting diverse travel behaviours. These findings indicate that e-scooter users are more likely to be highly mobile people with a potential for multimodal transport. Furthermore, being an e-scooter user will increase the probability of shifting their shortrange trip to an e-scooter by 46 %. Findings provide pivotal insights into e-scooter modal shifts, crucial for exante and ex-post evaluations of e-scooter adoption, the deployment of e-scooter schemes, and contribute to travel demand management.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] How shared e-scooter programs affect docked bikeshare ridership in communities of concern: a tale of two cities
    Meng, Si'an
    Brown, Anne
    TRANSPORTATION, 2024,
  • [22] Optimal Rebalancing Strategy for Shared e-Scooter Using Genetic Algorithm
    Kim, Sujae
    Lee, Gyeongjae
    Choo, Sangho
    JOURNAL OF ADVANCED TRANSPORTATION, 2023, 2023
  • [23] Shared e-scooter micromobility: review of use patterns, perceptions and environmental impacts
    Badia, Hugo
    Jenelius, Erik
    TRANSPORT REVIEWS, 2023, 43 (05) : 811 - 837
  • [24] Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants
    Hasan, Mithila
    Sisiopiku, Virginia P.
    FUTURE TRANSPORTATION, 2024, 4 (01): : 130 - 151
  • [25] Changes in shared and private e-scooter use in Brisbane, Australia and their safety implications
    Haworth, Narelle
    Schramm, Amy
    Twisk, Divera
    ACCIDENT ANALYSIS AND PREVENTION, 2021, 163
  • [26] Factors Influencing Sustained Use of Shared E-Scooter Services in Urban Taiwan
    Huang, Fei-Hui
    PROMET-TRAFFIC & TRANSPORTATION, 2024, 36 (05): : 902 - 921
  • [27] Weather to scoot? How weather shapes shared e-scooter ridership patterns
    Kimpton, Anthony
    Loginova, Julia
    Pojani, Dorina
    Bean, Richard
    Sigler, Thomas
    Corcoran, Jonathan
    JOURNAL OF TRANSPORT GEOGRAPHY, 2022, 104
  • [28] Scooting towards Equity: A Comprehensive Study of Shared E-Scooter Impact in Chicago
    Sadeghvaziri, Eazaz
    Javid, Ramina
    Miller, Joseph
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2024: TRANSPORTATION PLANNING, OPERATIONS, AND TRANSIT, ICTD 2024, 2024, : 284 - 292
  • [29] Footprints of the Future: Cleaner and Faster Transportation with Shared E-Scooter Operational Models
    Kaya, Omer
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2025, 14 (01)
  • [30] Comprehensive comparison of e-scooter sharing mobility: Evidence from 30 European cities
    Li, Aoyong
    Zhao, Pengxiang
    Liu, Xintao
    Mansourian, Ali
    Axhausen, Kay W.
    Qu, Xiaobo
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2022, 105