What is it about?
Predict demand of bikes and slots by station and time of day, and find an optimal route for bike-redistribution
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Why is it important?
We develop a methodology for predicting unsatisfied demand under all possible system configurations. In a second stage, we use these prediction as an input in our routing algorithms.
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This page is a summary of: Optimizing the level of service quality of a bike-sharing system, Omega, July 2016, Elsevier,
DOI: 10.1016/j.omega.2015.09.007.
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