Casualty risk of e-bike rider struck by passenger vehicle using China in-depth accident data

Traffic Inj Prev. 2020;21(4):283-287. doi: 10.1080/15389588.2020.1747614. Epub 2020 Apr 16.

Abstract

Objective: Traffic deaths involving e-bike (electric bike) riders are increasing in China. This study aims to quantitatively investigate the association between e-bike rider casualty and impact speed in electric bike-passenger vehicle collisions based on China in-depth accident study data.Methods: According to the collision location and driving direction of the e-bike and the vehicle, electric bike-passenger vehicle collisions are divided into five collision types: frontal collision, e-bike side collision, vehicle side collision, scrape collision and rear-end collision. Since e-bike side collision (the side of e-bike impacted with the front of vehicle) is the leading type and has the highest likelihood of severe or fatal injury in all collision types, e-bike side collisions are further selected to build the casualty risk functions of e-bike rider in relation to the rider age and the impact speed (vehicle impact speed and e-bike impact speed).Results: The analysis results show that, as for e-bike side collisions and e-bike impact speed is 20 km/h, the fatality risk of riders is approximately 2.9% at vehicle impact speed of 30 km/h, 23% at 50 km/h, 50% at 60 km/h, and 90% at 80 km/h. Rider age is also significantly associated with a higher risk of severe and fatality injury. The e-bike impact speed is not significantly associated with the severe and fatality risk in e-bike side collisions.Conclusions: The findings of this study provide meaningful insights to formulate effective policies especially for speed limit management to improve the safety of e-bikes.

Keywords: E-bike accident; age; fatality risk; impact speed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Traffic / mortality*
  • Accidents, Traffic / statistics & numerical data
  • Adolescent
  • Adult
  • Bicycling / injuries*
  • Bicycling / statistics & numerical data
  • China / epidemiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Assessment
  • Young Adult