Perspectives on e-scooters use: A multi-year cross-sectional approach to understanding e-scooter travel behavior in Portland, Oregon

Unique travel behavior patterns are observed as shared electric scooters (e-scooters) provided by private operators expand into U.S. cities. Three separate years of e-scooter ridership survey data from the Portland Bureau of Transportation’s E-scooter Pilot Programs were analyzed to ascertain the multi-year cross-sectional and demographic characteristics of e-scooter riders. A binary logistic regression model, descriptive statistics, and multiple regression model are used to analyze e-scooter mode substitution, trip purposes, and travel distance from 2018 to 2020 in Portland, Oregon. Since the introduction of e-scooter in 2018, respondents have been less likely to use their previous transportation, and especially vehicle trips were consistently replaced with e-scooter trips during three different periods of analysis. In 2020, utilitarian trips, work/school trips, and trips for accessing transit stops replaced recreation trips as the primary trip purpose. The travel distance model shows that e-scooters can help to reduce vehicle miles traveled (VMT) by replacing car and ride-hail/taxis trips. With the result of this research, this study supports shared e-scooters as a viable transportation mode in the future that can achieve several policy goals, such as climate change, congestion, first/last mile connector to transit, and equity.

• Record URL:
  https://doi.org/10.1016/j.tra.2023.103866
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0965856423002860
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Kim, Minju
  • 0000-0001-8271-6069
  • Puczkowskyj, Nicholas
  • 0000-0003-3498-3570
  • MacArthur, John H
  • 0000-0002-3462-1409
  • Dill, Jennifer
  • 0000-0001-5498-3928
• Publication Date: 2023-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 103866
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 178
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Cross sectional studies; Electric vehicles; Mode choice; Scooters; Travel behavior; Vehicle sharing
• Geographic Terms: Portland (Oregon)
• Subject Areas: Energy; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01901140
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 30 2023 4:13PM