Mining bicycle sharing data for generating insights into sustainable transport systems

By O. O’Brien, James A. Cheshire, Michael Batty. 2014

394 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6b67b4e188da141d24017054aa2bdcb7f3318345

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In Transportation

Citations in the corpus

Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices (2014, background): “The growing number of bicycle sharing systems (BSS) around the world provide increased urban opportunities for both cycling for transport and cycling for recreation (Fishman et al., 2013; O'Brien et al., 2014).”
Bikeshare: A Review of Recent Literature (2016, background): “Researchers have documented variation between BSPs in different cities regarding the proportion of docking spots that are full or empty (O’Brien et al., 2014) and this may provide a basis upon which cities can begin to reduce the number of docking stations suffering from distribution issues.”
Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2015, background): “Studies on bike-sharing use patterns in such destinations do not differentiate between local residents and tourists (e.g., Kaltenbrunner et al., 2010; Ogilvie and Goodman, 2012; O’Brien et al., 2013).”
Understanding the usage of dockless bike sharing in Singapore (2018, background): “Some studies have compared bike sharing systems in different cities (O’Brien et al., 2014; L. Zhang, Zhang, Duan, & Bryde, 2015).”
Sharing Sustainability: How Values and Ethics Matter in Consumers’ Adoption of Public Bicycle-Sharing Scheme (2016, background): “Physical factors serve as facilitators or barriers to PBSS adoption, and include accessibility, safety, weather, topography, bike–membership ratio, bike-transit integration, and governmental intervention (e.g., DeMaio 2009; Fishman et al. 2012; O’Brien et al. 2014; Zhang et al. 2015).”
Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China (2018, background): “[23] showed that there was no remarkable difference in the passenger flow of the Washington public bike system between weekdays and weekends.”
Ridership and effectiveness of bikesharing: The effects of urban features and system characteristics on daily use and turnover rate of public bikes in China (2014, background): “Whilst bikesharing is a relatively new form of transport in urban areas, adoption of this evolving transit model has become particularly popular in recent years (Shaheen et al., 2010, 2013; O’Brien et al., 2014).”