China's Hangzhou Public Bicycle

By Susan A. Shaheen, Hua Zhang, Elliot W. Martin, Stacey Guzman. 2011

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A survey of data fusion in smart city applications (2019, background): “For a bike sharing system, data fusion and analysis helps to understand how the system works and evaluate different operational strategies [204], [205].”
Sharing riders: How bikesharing impacts bus ridership in New York City (2017, background): “…bikeshare member surveys typically find that many people reduce their bus use as a result of bikesharing, although the size of the effect varies across cities and even within a city (Buck et al., 2013; Fuller et al., 2013; Murphy and Usher, 2015; Shaheen et al., 2011, 2013; Tang et al., 2011).”
Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobility (2021, background): “Vehicle ownership appears to correlate with 114 shared vehicle usage, i.e. those who own e-scooters/e-bikes are more likely to use shared e-115 scooters/e-bikes as well (Fishman et al., 2013; Reck and Axhausen, 2021; Shaheen et al., 2011).”
Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2015, background): “While many bike-sharing systems operate in major tourist destinations, studies on their market penetration focused on demand from local residents (Shaheen et al., 2011; Bordagaray et al., 2012; Fishman et al., 2012), and thus their main focus was on the system efficiency for utilitarian trips.”