Understanding factors influencing shared e-scooter usage and its impact on auto mode substitution

Shared e-scooter is a fairly new transportation mode that emerged in late 2017. Since then, it has gained popularity around the world; however, it also has spiraled into disarray in many cities due to the lack of e–scooter regulations and improper parking and riding behaviors. Limited understanding of shared e–scooters restrains policymakers from developing more effective regulations and promoting this sustainable transportation mode. This study takes a step towards understanding e-scooter user behaviors by investigating factors that influence e-scooter sharing usage and auto mode substitution. Survey data were collected from shared e-scooter users, and random parameter models were applied to explore the factors influencing e-scooter sharing usage and mode substitution. Factors considered in models include sociodemographic information, user behaviors, trip purposes, and health indicators. Model results identify several factors that significantly influence shared e-scooter usage, including user gender, helmet use, exposure to shared e-scooters, ownership of an e-scooter, riding locations, opinions on speed limits, and trip purposes. Contributing factors for auto substitution suggest that shared e-scooters potentially are competing with TNC/taxi, lower cost, and social/entertainment trip purpose, and user households with multiple vehicles contribute to private vehicle substitution. Research outcomes suggest that shared e-scooters could play a significant role in urban transportation sustainability. Insights related to better practices for e-scooter regulations and planning are discussed to help cities improve shared e-scooter program performance and make it a more sustainable transportation mode.

• Record URL:
  https://doi.org/10.1016/j.trd.2021.102991
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920921002893
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2021 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Guo, Yujie
  • Zhang, Yu
• Publication Date: 2021-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 99
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Electric vehicles; Mode choice; Policy; Scooters; Vehicle sharing
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01781701
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 20 2021 2:52PM