Empirical Analysis of Speeding Behavior and Determining Speed Limits for Electric Bicycles

Speed limits of motorized vehicles have been widely used for the purpose to reduce noise and to promote road safety. Unfortunately, there has been little research on speed limits for electric bicycles (EB). In this paper, field speed data were collected from eleven segments of separated bicycle lanes in Hangzhou, China. The speeding behaviors of different types of bicycles were analyzed under different speed limits. Mixed logistic models were proposed for modeling the speeding and its influencing factors. Then, the 85th percentile speeds under different conditions were calculated as the speed limits. The stepwise regression models were proposed for modeling the relationships between the 85th percentile speeds and their influencing factors, and the speed limits for different types of bicycles were determined. It is recommended that the speed limits of purely EBs traffic were 25-30 and 30-35 km/h for the widths of bicycle lanes less than 3 m and great than 3 m, respectively. Meanwhile, the recommended speed limit for heterogeneous bicycle flow was 25 km/h. The results will help for the improvement and change of the speed limit laws and policies for bicycle traffic.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Xu, Cheng
  • Li, Qiangwei
  • Jin, Sheng
• Conference:
  • Transportation Research Board 95th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2016-1-10 to 2016-1-14
• Date: 2016

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 19p
• Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: 85th percentile speed; Bicycle lanes; Bicycles; Electric drives; Logistic regression analysis; Multiple regression analysis; Speed limits
• Uncontrolled Terms: Bicycle speed; Motorized bicycles
• Geographic Terms: Hangzhou (China)
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01594566
• Record Type: Publication
• Report/Paper Numbers: 16-1361
• Files: TRIS, TRB, ATRI
• Created Date: Mar 28 2016 5:47PM