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An Approach to Model the Willingness to Use of E-Scooter Sharing Services in Different Urban Road Environments

Author

Listed:
  • Theodora Sorkou

    (Department of Rural Technology and Development, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15772 Athens, Greece)

  • Panagiotis G. Tzouras

    (Department of Rural Technology and Development, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15772 Athens, Greece)

  • Katerina Koliou

    (Department of Rural Technology and Development, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15772 Athens, Greece)

  • Lambros Mitropoulos

    (LKM Consulting Engineers and Planners, 10682 Athens, Greece)

  • Christos Karolemeas

    (MoveNow Technologies P.C., 10677 Athens, Greece)

  • Konstantinos Kepaptsoglou

    (Department of Rural Technology and Development, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15772 Athens, Greece)

Abstract

E-scooter sharing services been grown exponentially within the last five years. They are based on the flexibility of accessing dense urban areas without specialized infrastructure. In modern cities, there are diverse road environments that impact the comfort, and therefore the attractiveness, of micro-mobility services. This study aims to investigate the willingness to use e-scooter sharing services, while considering the road environment. To formulate area-specific pricing policies, a stated preferences experiment with 243 respondents, who can be considered as potential users, is conducted in Athens, Greece and a binary logistic regression model with random beta parameters is developed. The analysis of the model marginal effects indicates that the integration of bonus points into micro-mobility services, combined with the option of transferring these points to parking services, can compensate a non-friendly road environment, thus increasing the service demand. The existence of roads with good pavement conditions and wide sidewalks significantly increased the willingness of respondents to use e-scooter sharing services. Unexpectedly, pedestrianized zones in a buffer area of 2 km radius from the trip origin reinforce the attractiveness of shared e-scooters, while the contribution of bike lanes and traffic calming streets (or shared space) were proven to be insignificant.

Suggested Citation

  • Theodora Sorkou & Panagiotis G. Tzouras & Katerina Koliou & Lambros Mitropoulos & Christos Karolemeas & Konstantinos Kepaptsoglou, 2022. "An Approach to Model the Willingness to Use of E-Scooter Sharing Services in Different Urban Road Environments," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15680-:d:983828
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    References listed on IDEAS

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    1. Bai, Lu & Liu, Pan & Chan, Ching-Yao & Li, Zhibin, 2017. "Estimating level of service of mid-block bicycle lanes considering mixed traffic flow," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 203-217.
    2. Liu, Hung-Chi & Lin, Jen-Jia, 2022. "Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use," Transport Policy, Elsevier, vol. 126(C), pages 107-119.
    3. Cao, Zhejing & Zhang, Xiaohu & Chua, Kelman & Yu, Honghai & Zhao, Jinhua, 2021. "E-scooter sharing to serve short-distance transit trips: A Singapore case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 177-196.
    4. Yang, Hongtai & Zheng, Rong & Li, Xuan & Huo, Jinghai & Yang, Linchuan & Zhu, Tong, 2022. "Nonlinear and threshold effects of the built environment on e-scooter sharing ridership," Journal of Transport Geography, Elsevier, vol. 104(C).
    5. Anne de Bortoli, 2021. "Environmental performance of shared micromobility and personal alternatives using integrated modal LCA," Papers 2103.04464, arXiv.org.
    6. Jeffrey Glenn & Madeline Bluth & Mannon Christianson & Jaymie Pressley & Austin Taylor & Gregory S. Macfarlane & Robert A. Chaney, 2020. "Considering the Potential Health Impacts of Electric Scooters: An Analysis of User Reported Behaviors in Provo, Utah," IJERPH, MDPI, vol. 17(17), pages 1-15, August.
    7. Huo, Jinghai & Yang, Hongtai & Li, Chaojing & Zheng, Rong & Yang, Linchuan & Wen, Yi, 2021. "Influence of the built environment on E-scooter sharing ridership: A tale of five cities," Journal of Transport Geography, Elsevier, vol. 93(C).
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