Detection of unusable bicycles in bike-sharing systems

Mor Kaspi; Tal Raviv; Michal Tzur

doi:10.1016/j.omega.2015.12.003

Detection of unusable bicycles in bike-sharing systems

Mor Kaspi, Tal Raviv^*, Michal Tzur

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

45 Scopus citations

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 language	English
Pages (from-to)	10-16
Number of pages	7
Journal	Omega (United Kingdom)
Volume	65
DOIs	https://doi.org/10.1016/j.omega.2015.12.003
State	Published - 1 Dec 2016

Keywords

Bayesian model
Bike-sharing
Maintenance

Access to Document

10.1016/j.omega.2015.12.003

Cite this

@article{1444005bd1b044a79fed7abb914fd602,

title = "Detection of unusable bicycles in bike-sharing systems",

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.",

keywords = "Bayesian model, Bike-sharing, Maintenance",

author = "Mor Kaspi and Tal Raviv and Michal Tzur",

note = "Publisher Copyright: {\textcopyright} 2015 Elsevier Ltd",

year = "2016",

month = dec,

day = "1",

doi = "10.1016/j.omega.2015.12.003",

language = "אנגלית",

volume = "65",

pages = "10--16",

journal = "Omega (United Kingdom)",

issn = "0305-0483",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Detection of unusable bicycles in bike-sharing systems

AU - Kaspi, Mor

AU - Raviv, Tal

AU - Tzur, Michal

PY - 2016/12/1

Y1 - 2016/12/1

N2 - 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.

AB - 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.

KW - Bayesian model

KW - Bike-sharing

KW - Maintenance

UR - http://www.scopus.com/inward/record.url?scp=84953410515&partnerID=8YFLogxK

U2 - 10.1016/j.omega.2015.12.003

DO - 10.1016/j.omega.2015.12.003

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

AN - SCOPUS:84953410515

SN - 0305-0483

VL - 65

SP - 10

EP - 16

JO - Omega (United Kingdom)

JF - Omega (United Kingdom)

ER -

Detection of unusable bicycles in bike-sharing systems

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this