E-Scooter De​sign (VTTI-00-032) [supporting dataset]

Project Description: Over the recent years, e-scooters have become an increasingly popular and convenient micromobility solution for short-distance trips for a wide demographic of users. Due to their accessibility, knowledge regarding proper e-scooter use and level of operating experience can vary widely. With the increase in use, there has been a rise in injuries for e-scooter riders and other road users. One possible cause is that the true performance capabilities of e-scooters vary based upon their designs; users are unaware of these differences or how to accommodate their riding behavior to retain a safe experience. This relationship between safety outcomes and e-scooter design attribute has yet to be established. Until recently, very little formal research has been conducted on the safety of this form of transportation or on the optimal design for e-scooters. Safety concerns may limit the widespread adoption of e-scooters as a legitimate transportation option. To address this concern, the Virginia Tech Transportation Institute (VTTI), in collaboration with Ford Motor Company and Spin, conducted a controlled participant study on the Virginia Smart Roads to evaluate and compare various e-scooter designs and study how rider specific factors contribute to performance and safety. The results from this study will be used to inform e-scooter companies and manufacturers on design recommendations for improved e-scooter safety. Data Scope: This kinematic dataset includes 2,552 observations organized by participant number, trial number, scooter identification number, and a description of the obstacle encountered during each of the Handling, Stability, and Maneuverability Test completed by both participant groups (experienced and novice riders).

• Dataset URL:
  • https://doi.org/10.15787/VTT1/XXSXB4
• Dataset URL:
  • https://rosap.ntl.bts.gov/view/dot/73410
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/73277
• Supplemental Notes:
  • The dataset supports report: E-Scooter Design: Safety Measures for Next Gen Scooter, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Safety through Disruption University Transportation Center (Safe-D)

  Virginia Tech Transportation Institute
  Blacksburg, VA  United States  24060

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Novotny, Adam
  • 0000-0001-5685-6332
  • Mollenhauer, Mike
  • 0000-0002-7595-8489
  • White, Elizabeth
  • 0000-0003-2854-4301
• Publication Date: 2023-7-5

Language

• English

Media Info

• Media Type: Dataset
• Dataset: Version: 1.0 Integrity Hash: UNF:6:VKKBzp4kWGyAHBX3N7zxJA== [fileUNF]
• Dataset publisher:

  Dataverse

  ,    

Subject/Index Terms

• TRT Terms: Data; Electric vehicles; Field tests; Kinematics; Mechanical stability; Scooters; Vehicle design; Vehicle safety
• Subject Areas: Data and Information Technology; Design; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01909925
• Record Type: Publication
• Contract Numbers: 69A3551747115
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Feb 27 2024 10:08AM