Risky Driving Behaviors of Electric Bike Users Based on Structural Equation Model

In order to explore the relationship between driving safety knowledge, traffic safety attitude, risk perception, and dangerous driving behavior of electric bike users, 338 questionnaires were analyzed by using structural equation model (SEM). The results demonstrate that the proposed model has a good fit. The risk driving behavior of electric bicycle driver is mainly affected by the attitude of traffic safety. Driving safety knowledge and risk perception affect the driving behavior mainly through affecting the safety attitude. Electric bicycle driver's driving knowledge training is helpful to reducing the frequency of dangerous driving behavior.

• Record URL:
  • https://doi.org/10.1061/9780784480915.523
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784480915
• Supplemental Notes:
  • © 2018 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Tao
  • 0009-0008-2301-0208
  • Peng, Qiong
  • Chen, Jun
  • Yan, Xingchen
  • Ye, Xiaofei
• Conference:
  • 17th COTA International Conference of Transportation Professionals
  • Location: Shanghai , China
  • Date: 2017-7-7 to 2017-7-9
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 5075-5081
• Monograph Title: CICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation

Subject/Index Terms

• TRT Terms: Attitudes; Behavior; Driver performance; Electric bicycles; Risk taking; Traffic safety
• Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01890119
• Record Type: Publication
• ISBN: 9780784480915
• Files: TRIS, ASCE
• Created Date: Aug 15 2023 11:54AM