A Stochastic Analysis of Bike Sharing Systems

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A Stochastic Analysis of Bike Sharing Systems

As more people move back into densely populated cities, bike sharing is emerging as an important mode of urban mobility. In a typical bike sharing system, riders arrive at a station and take a bike if it is available. After retrieving a bike, they ride it for a while, then return it to a station near their final destinations. Since space is limited in cities, each station has a finite capacity ...

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Bike Sharing Systems became popular in recent years to extend the public transportation network of cities or regions. Most research in this area focuses on finding the optimal locations for bike sharing stations. Still various approaches on how to operate such a system efficiently exist. The usefulness of a bike sharing system strongly depends on the user convenience which is directly connected...

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Bike sharing provides an environment-friendly way for traveling and is booming all over the world. Yet, due to the high similarity of user travel patterns, the bike imbalance problem constantly occurs, especially for dockless bike sharing systems, causing significant impact on service quality and company revenue. Thus, it has become a critical task for bike sharing systems to resolve such imbal...

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Mean field analysis for inhomogeneous bike sharing systems

In the paper, bike sharing systems with stations having a finite capacity are studied as large stochastic networks. The inhomogeneity is modeled by clusters. We use a mean field limit to derive the limiting stationary distribution of the number of bikes at the stations. This approach is an alternative to analytical methods. It can be used even if a closed form expression for the stationary dist...

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ژورنال

عنوان ژورنال: SSRN Electronic Journal

سال: 2017

ISSN: 1556-5068

DOI: 10.2139/ssrn.3026324