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Bike Sharing

  • Daniel FreundEmail author
  • Shane G. Henderson
  • David B. Shmoys
Chapter
Part of the Springer Series in Supply Chain Management book series (SSSCM, volume 6)

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.

Notes

Acknowledgements

We thank our colleagues at Citi Bike, and its parent company Motivate, for our strong and ongoing collaboration. We also thank the many contributors to the work described herein, especially the students, both undergraduate and graduate, at Cornell University. This work was partially supported by National Science Foundation grants CCF-1526067, CMMI-1537394, CCF-1522054, and CCF-1740822, and Army Research Office grant W911NF-17-1-0094.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Daniel Freund
    • 1
    Email author
  • Shane G. Henderson
    • 1
  • David B. Shmoys
    • 1
  1. 1.Cornell UniversityIthacaUSA

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