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Title:

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

Accession Number:

01594566

Record Type:

Component

Abstract:

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.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-1361

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Xu, Cheng
Li, Qiangwei
Jin, Sheng

Pagination:

19p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Operations and Traffic Management; Pedestrians and Bicyclists

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-1361

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:36PM