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Estimating bike-share trips using station level data

Médard de Chardon, Cyrille; Caruso, Geoffrey


Cyrille Médard de Chardon

Geoffrey Caruso


Bicycle sharing systems (BSS) have increased in number rapidly since 2007. The potential benefits of BSS, mainly sustainability, health and equity, have encouraged their adoption through support and promotion by mayors in Europe and North America alike. In most cases municipal governments desire their BSS to be successful and, with few exceptions, state them as being so. New technological improvements have dramatically simplified the use and enforcement of bicycle return, resulting in the widespread adoption of BSS. Unfortunately little evaluation of the effectiveness of differently distributed and managed BSS has taken place. Comparing BSS systems quantitatively is challenging due to the limited data made available. The metrics of success presented by municipalities are often too general or incomparable to others making relative evaluations of BSS success arduous. This paper presents multiple methodologies allowing the estimation of the number of daily trips, the most significant measure of BSS usage, based on data that is commonly available, the number of bicycles available at a station over time. Results provide model coefficients as well as trip count estimates for select cities. Of four spatial and temporal aggregate models the day level aggregation is found to be most effective for estimation. In addition to trip estimation this work provides a rigorous formalization of station level data and the ability to distinguish spatio-temporal rebalancing quantities as well as new characteristics of BSS station use.


Médard de Chardon, C., & Caruso, G. (2015). Estimating bike-share trips using station level data. Transportation Research Part B: Methodological, 78, 260-279.

Journal Article Type Article
Acceptance Date May 6, 2015
Online Publication Date May 23, 2015
Publication Date 2015-08
Deposit Date Sep 12, 2019
Journal Transportation Research Part B: Methodological
Print ISSN 0191-2615
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 78
Pages 260-279
Keywords Bicycle-sharing systems; Bike-share; Open data; Trip estimation; Rebalancing
Public URL
Publisher URL
Additional Information This article is maintained by: Elsevier; Article Title: Estimating bike-share trips using station level data; Journal Title: Transportation Research Part B: Methodological; CrossRef DOI link to publisher maintained version:; Content Type: article; Copyright: Copyright © 2015 Elsevier Ltd. All rights reserved.