Planning Station Capacity and Bike Rebalance Based on Visual Analytics of Taxi and Bike-Sharing Data

Abstract

Bike-sharing systems allow people to rent a bicycle at a near dock, ride for a short journey and return it to any dock near your destination. In bike-sharing systems, dock location and capacity planning are two key issues that bike managers should solve. In this paper, station capacity and bike rebalancing are mainly considered. We propose three indexes for visualization. A novel visual method is put forward, which is used to analyze large-scale taxi and bike-sharing data conjointly for planning the scale of bicycle docks. We can get more important information through the visualization of taxi and bike data than only use of bicycle data. It is evaluated based on the Citibike and yellow_taxi data. The results indicate that the visual method we present is very effective in planning station capacity and in bike rebalancing operations.