01630589

Component

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.

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.

01618707

17-02879

English

13p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Behavior; Bicycling; Cluster analysis; Commuting; Data mining; Mode choice; Vehicle sharing

London (England)

Pedestrians and Bicyclists; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-02879

TRIS, TRB, ATRI

Dec 8 2016 11:05AM