© 2020

Active Balancing of Bike Sharing Systems


Part of the Lecture Notes in Mobility book series (LNMOB)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Jan Brinkmann
    Pages 1-4
  3. Preliminaries

    1. Front Matter
      Pages 5-5
    2. Jan Brinkmann
      Pages 7-18
    3. Jan Brinkmann
      Pages 19-29
    4. Jan Brinkmann
      Pages 31-40
  4. Application

    1. Front Matter
      Pages 41-41
    2. Jan Brinkmann
      Pages 51-67
    3. Jan Brinkmann
      Pages 69-79
    4. Jan Brinkmann
      Pages 81-105
  5. Conclusion

    1. Front Matter
      Pages 107-107
    2. Jan Brinkmann
      Pages 109-110
    3. Jan Brinkmann
      Pages 111-116
  6. Back Matter
    Pages 117-184

About this book


This book reports on an operational management approach to improving bike-sharing systems by compensating for fluctuating demand patterns. The aim is to redistribute bikes within the system, allowing it to be “actively” balanced. The book describes a mathematical model, as well as data-driven and simulation-based approaches. Further, it shows how these elements can be combined in a decision-making support system for service providers. In closing, the book uses real-world data to evaluate the method developed and demonstrates that it can successfully anticipate changes in demand, thus supporting efficient scheduling of transport vehicles to manually relocate bikes between stations.


Inventory Routing Approximate dynamic programming Bike Sharing Vehicle sharing Imbalanced bike sharing system Vehicle routing problem Stochastic-dynamic models Dynamic decision making Multi-vehicle routing Inventory decisions Routing decisons Online control models

Authors and affiliations

  1. 1.Institut für WirtschaftsinformatikTechnische Universität BraunschweigBraunschweigGermany

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