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.
- C. Bourdais, C. Fricker, and H. Mohamed. A mean field analysis of a stochastic model for reservation in car-sharing systems. ACM SIGMETRICS Performance Evaluation Review, 48(2):18--20, 2020.Google ScholarDigital Library
- 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 ScholarCross Ref
- S.N. Ethier and T.G. Kurtz. Markov Processes: Characterization and Convergence. John Wiley & Sons, 2009.Google Scholar
- G. Fayolle, R. Iasnogorodski, and V. Malyshev. Random Walks in the Quarter Plane. Springer International Publishing, 2017.Google ScholarDigital Library
- C. Fricker and N. Gast. Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity. European Journal of Transportation and Logistic, 5(3):p. 261 -- 291, 2016.Google ScholarCross Ref
- C. Fricker and D. Tibi. Equivalence of ensembles for large vehicle-sharing models. Annals of Applied Probability, 27(2):883--916, 2017.Google ScholarCross Ref
- S. Zhu. Optimal fleet deployment strategy: Model the effect of shared e-bikes on bike-sharing system. Journal of Advanced Transportation, 2021.Google ScholarCross Ref
Recommendations
Ride Substitution Using Electric Bike Sharing: Feasibility, Cost, and Carbon Analysis
While ride-sharing has emerged as a popular form of transportation in urban areas due to its on-demand convenience, it has become a major contributor to carbon emissions, with recent studies suggesting it is 47% more carbon-intensive than personal car ...
Greening Electric Bike Sharing Using Solar Charging Stations
BuildSys '20: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationElectric bikes have emerged as a popular form of transportation for short trips in dense urban areas and are being increasingly adopted by bike share programs for easy accessibility to riders. Motivated by the rising popularity of electric bikes, a form ...
Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization
KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningBike sharing systems, aiming at providing the missing links in public transportation systems, are becoming popular in urban cities. A key to success for a bike sharing systems is the effectiveness of rebalancing operations, that is, the efforts of ...
Comments