Bike Share Usage Characterization - Initial Results from a Cluster Analysis of London Santander Cycles Scheme Data

A sound understanding of travel behaviour can help improve the efficiency of public transport systems and increase their market share. Nowadays studies of the characteristics of public transport users can rely on the large dataset collected by ITS implemented for management reasons. Using one of these datasets, the authors typify the regular users of London Santander Cycles Scheme on the basis of variables describing the spatial and time distribution of their hires. Among others, the authors detect the existence of a small group of scheme enthusiasts, who account for more than one third of the hires from regular users. The features of the largest cluster show that the interest in the scheme increases when cycling occurs in beautiful urban landscapes, but this is not sufficient to promote a regular use. Finally, the authors suggest that a large number of users are pure commuters.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation. Alternate title:Characterization of Bikeshare Scheme Users’ Style of Usage: General Lessons from the London Case.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Martin-Moral, Eduardo
  • Fonzone, Achille
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 13p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Behavior; Bicycling; Cluster analysis; Commuting; Data mining; Mode choice; Vehicle sharing
• Geographic Terms: London (England)
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01630589
• Record Type: Publication
• Report/Paper Numbers: 17-02879
• Files: TRIS, TRB, ATRI
• Created Date: Mar 28 2017 5:07PM