Abstract
A new method that combines maximal covering location problem and bike station importance is utilized to find optimal locations of bike stations and maximize bike share system (BSS) demand coverage within a specific distance. This method uses multi-criteria that focus on centrality measures and bike station’s importance. Results of applying the new method to a real-life BSS network demonstrated that BSS efficiency improved after removing the least important bike stations up to a critical point after which efficiency started to deteriorate as the network became disconnected. The new method can be used to improve management of BSS networks.
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