E-scooter Availability Versus Utilization Insights: A Geospatial Analysis

While the potential benefit e-scooters offer to communities to address short distance transportation needs have been shown, evidence that those needs are being met in practice is mixed. This study evaluates whether e-scooters are available to residents that are more likely to need alternative transportataion. This paper presents a geospatial analysis approach investigating e-scooter use conditioned on e-scooter availability to expand upon the micromobility literature.  The demand distribution for a short-distance transportation alternative was visualized in the city of Charlottesville, Virginia based on Census statistics describing transportation use, highlighting areas where micromobility need is the most salient. Real-time e-scooter GPS data was harvested from an open data feed over a four-month period from March 15, 2020 to July 15, 2020 and subsequently processed into measures of e-scooter availability and utilization at U.S. Census block group level resolution. This e-scooter data was then fused with demographic and built environment data and a multiple regression analysis approach was used to model average e-scooter availability and average fleet utilization to investigate which short-distance transportation need factors, economic activity factors, and built environment factors drive the respective response variables. Findings suggest that e-scooter fleet distribution is highly influenced by centers of economic activity while the e-scooter usage is influenced by indicators of residential micromobility needs. Further, this study suggests that e-scooter utilization could serve as a metric for reevaluating e-scooter placement to optimize residents’ needs which, if effective, may also lead to increased e-scooter benefits to a city’s residents.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 20p

Subject/Index Terms

Filing Info

  • Accession Number: 01763863
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-03860
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:13AM