title: Comparative analysis of risky behaviors of electric bicycles at signalized intersections.
abstract: OBJECTIVE
  The primary objective of this study was to compare the risky behaviors of e-bike, e-scooter, and bicycle riders as they were crossing signalized intersections.
  
  
  METHODS
  Pearson's chi-square test was used to identify whether there were significant differences in the risky behaviors among e-bike, e-scooter, and bicycle riders. Binary logit models were developed to evaluate how various variables affected the behaviors of 2-wheeled vehicle riders at signalized intersections. Field data collection was conducted at 13 signalized intersections in 2 cities (Nanjing and Kunming) in China.
  
  
  RESULTS
  Three different types of risky behaviors were identified, including stop beyond the stop line, riding in motorized lanes, and riding against traffic. Two-wheeled vehicle riders' gender and age and traffic conditions were significantly associated with the behaviors of 2-wheeled vehicle riders at the selected signalized intersections.
  
  
  CONCLUSIONS
  Compared to e-bike and bicycle riders, e-scooter riders are more likely to take risky behaviors. More specifically, they are more likely to ride in motorized lanes and ride against traffic.
authors.affiliation: a Jiangsu Key Laboratory of Urban ITS, Jiangsu Collaborative Innovation Center of Modern Urban Traffic Technologies , Southeast University , Nanjing , , China.
authors.forename: Lu
authors.initials: L
authors.lastname: Bai
authors.forename: Pan
authors.initials: P
authors.lastname: Liu
authors.forename: Yanyong
authors.initials: Y
authors.lastname: Guo
authors.forename: Hao
authors.initials: H
authors.lastname: Yu
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001642:Bicycling / Q000523:psychology* / Q000706:statistics & numerical data; D002681:China; D004560:Electricity; D004779:Environment Design / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012309:Risk-Taking; D012737:Sex Factors; D055815:Young Adult
keywords: bicycle; binary logit model; e-bike; e-scooter; risky behavior; signalized intersection