Factors influencing bike share membership: An analysis of Melbourne and Brisbane. (January 2015)
- Record Type:
- Journal Article
- Title:
- Factors influencing bike share membership: An analysis of Melbourne and Brisbane. (January 2015)
- Main Title:
- Factors influencing bike share membership: An analysis of Melbourne and Brisbane
- Authors:
- Fishman, Elliot
Washington, Simon
Haworth, Narelle
Watson, Angela - Abstract:
- Highlights: Bike share programs have grown rapidly in recent years. Australian bike share programs have lower usage levels than other countries. Online survey used to develop a logistic regression model to predict membership. Riding frequency, age, proximity to docking station predict membership. Riding convenience levels and higher income increase odds of membership. Abstract: The number of bike share programs has increased rapidly in recent years and there are currently over 700 programs in operation globally. Australia's two bike share programs have been in operation since 2010 and have significantly lower usage rates compared to Europe, North America and China. This study sets out to understand and quantify the factors influencing bike share membership in Australia's two bike share programs located in Melbourne and Brisbane. An online survey was administered to members of both programs as well as a group with no known association with bike share. A logistic regression model revealed several significant predictors of membership including reactions to mandatory helmet legislation, riding activity over the previous month, and the degree to which convenience motivated private bike riding. In addition, respondents aged 18–34 and having docking station within 250 m of their workplace were found to be statistically significant predictors of bike share membership. Finally, those with relatively high incomes increased the odds of membership. These results provide insight as toHighlights: Bike share programs have grown rapidly in recent years. Australian bike share programs have lower usage levels than other countries. Online survey used to develop a logistic regression model to predict membership. Riding frequency, age, proximity to docking station predict membership. Riding convenience levels and higher income increase odds of membership. Abstract: The number of bike share programs has increased rapidly in recent years and there are currently over 700 programs in operation globally. Australia's two bike share programs have been in operation since 2010 and have significantly lower usage rates compared to Europe, North America and China. This study sets out to understand and quantify the factors influencing bike share membership in Australia's two bike share programs located in Melbourne and Brisbane. An online survey was administered to members of both programs as well as a group with no known association with bike share. A logistic regression model revealed several significant predictors of membership including reactions to mandatory helmet legislation, riding activity over the previous month, and the degree to which convenience motivated private bike riding. In addition, respondents aged 18–34 and having docking station within 250 m of their workplace were found to be statistically significant predictors of bike share membership. Finally, those with relatively high incomes increased the odds of membership. These results provide insight as to the relative influence of various factors impacting on bike share membership in Australia. The findings may assist bike share operators to maximize membership potential and help achieve the primary goal of bike share – to increase the sustainability of the transport system. … (more)
- Is Part Of:
- Transportation research. Volume 71(2015)
- Journal:
- Transportation research
- Issue:
- Volume 71(2015)
- Issue Display:
- Volume 71, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 71
- Issue:
- 2015
- Issue Sort Value:
- 2015-0071-2015-0000
- Page Start:
- 17
- Page End:
- 30
- Publication Date:
- 2015-01
- Subjects:
- Bicycle -- CityCycle -- Bike share -- Melbourne Bike Share -- Transport -- Cities
Transportation -- Research -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09658564 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.tra.2014.10.021 ↗
- Languages:
- English
- ISSNs:
- 0965-8564
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274604
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