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Mean field analysis for bike and e-bike sharing systems

Published:20 January 2022Publication History
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Abstract

Electric bikes are deployed massively in preexisting bike sharing system in order to attract new users and replace cars on a larger scale (see [2]). But this causes interactions between the two populations of bikes. In this paper, we analyze a model of an homogeneous bike sharing system where two classes of bikes interact only through the finite capacity of stations. It models systems with both electric and normal bikes, these classes requiring different subscriptions. As far as we know (see [7]), it is the first stochastic large-scale analysis for integrated e-bike and bike sharing systems. The aim of the paper is to derive explicitly the limiting stationary distribution of the state of a station when the number of stations and the fleet size of each class increase at the same rate. Analysis for a spatially heterogeneous network is in preparation and discussed in Section 4.

References

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  2. A.A. Campbell, C.R. Cherry, M.S. Ryerson, and X. Yang. Factors influencing the choice of shared bicycles and shared electric bikes in beijing. Transportation Research Part C: Emerging Technologies, 67:399--414, 2016.Google ScholarGoogle ScholarCross RefCross Ref
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  • Published in

    cover image ACM SIGMETRICS Performance Evaluation Review
    ACM SIGMETRICS Performance Evaluation Review  Volume 49, Issue 2
    September 2021
    73 pages
    ISSN:0163-5999
    DOI:10.1145/3512798
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 20 January 2022

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