Detection of unusable bicycles in bike-sharing systems

Research output: Contribution to journalArticlepeer-review

Abstract

In bike-sharing systems, a small percentage of the bicycles become unusable every day. Currently, there is no reliable on-line information that indicates the usability of bicycles. We present a model that estimates the probability that a specific bicycle is unusable as well as the number of unusable bicycles in a station, based on available trip transaction data. Further on, we present some information based enhancements of the model and discuss an equivalent model for detecting locker failures.

Original languageEnglish
Pages (from-to)10-16
Number of pages7
JournalOmega
Volume65
DOIs
StatePublished - 1 Dec 2016

Keywords

  • Bayesian model
  • Bike-sharing
  • Maintenance

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