Bike Sharing. Freund, D.; Henderson, S. G.; and Shmoys, D. B. In Sharing Economy: Making Supply Meet Demand, volume 6, of Springer Series in Supply Chain Management, pages 435 – 459. Springer, 2019.
abstract   bibtex   
We discuss planning methods for bike-sharing systems that operate a set of stations consisting of docks. Specific questions include decisions related to the number of docks to allocate to each station, how to rebalance the system by moving bikes to match demand, and expansion planning. We describe linear integer programming models, specially tailored optimization algorithms, and simulation methods. All of these methods rely on careful statistical analysis of bike-sharing data, which we also briefly review. Our discussion of the issues is informed by our 4-year collaboration with Citi Bike in New York City, and its parent company Motivate.
@incollection{frehenshm17c,
	Abstract = {We discuss planning methods for bike-sharing systems that operate a set of stations consisting of docks. Specific questions include decisions related to the number of docks to allocate to each station, how to rebalance the system by moving bikes to match demand, and expansion planning. We describe linear integer programming models, specially tailored optimization algorithms, and simulation methods. All of these methods rely on careful statistical analysis of bike-sharing data, which we also briefly review. Our discussion of the issues is informed by our 4-year collaboration with Citi Bike in New York City, and its parent company Motivate.},
	Author = {Daniel Freund and Shane G. Henderson and David B. Shmoys},
	Booktitle = {Sharing Economy: Making Supply Meet Demand},
	Date-Added = {2019-01-23 12:01:37 -0500},
	Date-Modified = {2019-01-23 12:01:37 -0500},
	Editor = {Ming Hu},
	Pages = {435 -- 459},
	Publisher = {Springer},
	Series = {Springer Series in Supply Chain Management},
	Title = {Bike Sharing},
	Volume = {6},
	Year = {2019}}
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