(Even) Smarter Tools for (Citi)Bike Sharing
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چکیده
As bike-share systems expand in urban areas, the wealth of publicly available data has drawn researchers to the novel operational challenges these systems face. The key challenge is to meet user demand for available bikes and docks by rebalancing the system. This paper addresses the optimization problems that arise from these efforts. In particular, we provide new models to guide truck routing for overnight rebalancing and new optimization problems for non-motorized rebalancing during the day. Finally, we report on the practical impact our methods have had for Citi Bike in New York City.
منابع مشابه
On-demand transportation is one of the major success stories of the sharing economy. Surprisingly, the rapid growth of ride-sharing platforms like Lyft and Uber or bike-sharing platforms like Citi Bike
On-demand transportation is one of the major success stories of the sharing economy. Surprisingly, the rapid growth of ride-sharing platforms like Lyft and Uber or bike-sharing platforms like Citi Bike (NYC) and Divvy (Chicago) has been possible even though many of their operational challenges remain unsolved. This provides ample opportunities for operations management research on impactful rea...
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