A Method for Placing Shared E-Scooter Corrals Near Transit Stops

Shared electric scooters(e-scooters) have become a popular mode of travel in recent years across the United States. The rapid adoption of shared electric scooters has created different challenges for cities, including management of shared e-scooter parking. However, shared e-scooters have the potential to improve accessibility in cities as first/last-mile connections to transit. Some prior studies have proposed solutions to the parking issue, while others have proposed approaches to use e-scooters as first/last-mile connections. However, few if any prior studies have addressed these two aspects together, which is the focus of this analysis. This study proposes a method to select locations to place shared e-scooter corrals near transit stops to solve parking issues and encourage the use of shared e-scooters as connections to transit using Nashville, Tennessee, as a case study. The proposed method used supervised machine learning to identify shared e-scooters trips that complement transit. Then, a multi-criteria scoring system was applied to rank bus stops based on shared e-scooter activity and bus service characteristics. Based on this scoring system, bus stops with the 50 highest scores were selected as potential locations for shared e-scooter corrals. Then, the capacity for the potential parking locations was estimated based on the hourly shared escooter usage. The results suggest that the 50 proposed corral locations could capture about 48% of shared e-scooter demand. The findings of this study could guide the implementation of shared e-scooter corrals in Nashville and inform other cities about how to select locations for shared escooter corrals near transit.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 15p

Subject/Index Terms

Filing Info

  • Accession Number: 01857853
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-22-01981
  • Files: TRIS, TRB, ATRI
  • Created Date: Sep 16 2022 8:40AM