A segment-level model of shared, electric scooter origins and destinations

Electric scooters (or e-scooters) have quickly proliferated in cities worldwide, presenting a host of regulatory challenges. The authors analyze trip origins and destinations for shared e-scooter use at the street-segment level. Street segments are a relevant unit for policy analysis because users park scooters along the streets' curbside, and parking policies target specific street segments. The authors build Hurdle models for trip origins and destinations using data from Washington DC in 2019. Results show that street segments near tourist sites, hotels, and transit stops attract the most scooter-trip destinations. In contrast, the supply of available e-scooters is the dominant force shaping scooter-trip origins. The authors find preliminary evidence to suggest that scooters are complementing public transit. Like other studies, they find that areas with younger and more educated demographics correlate with higher e-scooter use. Finally, the authors demonstrate that the model can identify segments with a high demand for scooter parking.

• Record URL:
  https://doi.org/10.1016/j.trd.2021.102709
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920921000158
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Merlin, Louis A
  • Yan, Xiang
  • Xu, Yiming
  • Zhao, Xilei
• Publication Date: 2021-3

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 102709
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 92
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Demographics; Electric vehicles; Geometric segments; Mathematical models; Origin and destination; Scooters; Streets; Vehicle sharing
• Geographic Terms: Washington (District of Columbia)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01769180
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 11 2021 4:27PM