Factors Influencing Bike Share Membership
Transportation Research Part A 71 (2015) 17–30 Contents lists available at ScienceDirect Transportation Research Part A journal homepage: www.elsevier.com/locate/tra Factors influencing bike share membership: An analysis of Melbourne and Brisbane ⇑ Elliot Fishman a, , Simon Washington b,1, Narelle Haworth c,2, Angela Watson c,3 a Department Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, 3584 CS Utrecht, Netherlands b School of Urban Development, Faculty of Built Environment and Engineering and Centre for Accident Research and Road Safety (CARRS-Q), Faculty of Health Queensland University of Technology, 2 George St., GPO Box 2434, Brisbane, Qld 4001, Australia c Centre for Accident Research and Road Safety – Queensland, K Block, Queensland University of Technology, 130 Victoria Park Road, Kelvin Grove, QLD 4059, Australia article info abstract Article history: The number of bike share programs has increased rapidly in recent years and there are cur- Received 17 May 2013 rently over 700 programs in operation globally. Australia’s two bike share programs have Received in revised form 21 August 2014 been in operation since 2010 and have significantly lower usage rates compared to Europe, Accepted 29 October 2014 North America and China. This study sets out to understand and quantify the factors influ- encing bike share membership in Australia’s two bike share programs located in Mel- bourne and Brisbane. An online survey was administered to members of both programs Keywords: as well as a group with no known association with bike share. A logistic regression model Bicycle revealed several significant predictors of membership including reactions to mandatory CityCycle Bike share helmet legislation, riding activity over the previous month, and the degree to which conve- Melbourne Bike Share nience motivated private bike riding.
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