Hybrid bicycle allocation for usage load balancing and lifetime optimization in bike-sharing systems

Xiawen Yao, Xingfa Shen, Landi Wang, Tian He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Nowadays, public bike-sharing systems are broadly adopted and deployed in many major cities, however, as public facilities, bicycles will be prone to damage and need to be replaced frequently, which results in high system maintenance costs. One of the root causes of bicycle damages is the serious load-unbalance of bicycle usage. In this paper, we propose a hybrid bicycle allocation strategy for bicycle lifetime optimization, which can effectively reduce the degree of imbalance of system load. First, we analyze and verify the load-unbalance status of bicycle usage in the existing bike-sharing system. Then, a hybrid bicycle allocation strategy is proposed, which is evaluated on Washington D.C. bike-sharing system. Furthermore, according to a bicycle lifetime model based on Weibull distribution, the proposed bicycle allocation strategy could significantly cut down the percentage of the bicycles need to be replaced in a certain period of time.

Original languageEnglish (US)
Title of host publicationProceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-117
Number of pages6
ISBN (Electronic)9781538639320
DOIs
StatePublished - Jun 29 2017
Event18th IEEE International Conference on Mobile Data Management, MDM 2017 - Daejeon, Korea, Republic of
Duration: May 29 2017Jun 1 2017

Publication series

NameProceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017

Other

Other18th IEEE International Conference on Mobile Data Management, MDM 2017
CountryKorea, Republic of
CityDaejeon
Period5/29/176/1/17

Keywords

  • Bike Allocation
  • Bike Sharing System
  • Lifetime Optimization
  • Load Balancing

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