Impact of public bike sharing: Experiences from Ningbo, China

Chenxi Lu, Alan C.H. Wen, Jing Bie, Steven Shijin Zhou

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

We report the experiences of the bike sharing system in Ningbo, China. To analyze the impact of the system, system log data are collected for the whole month of May 2014 (with more than 1.7 million usage records), supplemented by questionnaire data from 1,856 respondents. Our results show that public bike usage follows the same pattern as road traffic, with morning and evening peaks on week days. In terms of mode substitution, 16% of public bike trips would have been made by private cars. In average, each public bike is used 3.7 times per day, with each trip lasting around 23 minutes and covering around 3.5 kilometre. This translates into a reduction of car travel by more than 11 million kilometre per year, a significant contribution to the sustainability of urban transport in Ningbo.

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation
EditorsAllan Wing Gun Wong, Simon Ho Fai Wong, Gordon Lai Ming Leung
PublisherHong Kong Society for Transportation Studies Limited
Pages201-207
Number of pages7
ISBN (Electronic)9789881581457
Publication statusPublished - 2018
Event21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016 - Hong Kong, Hong Kong
Duration: 10 Dec 201612 Dec 2016

Publication series

NameProceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation

Conference

Conference21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016
Country/TerritoryHong Kong
CityHong Kong
Period10/12/1612/12/16

Keywords

  • Bike sharing
  • Cycling
  • Impact analysis
  • Public transport
  • User analysis

Cite this