A Spatiotemporal Prediction Model for Regional Scheduling of Shared Bicycles Based on the INLA Method

Figure 1

The general situation in the study area. (a) The location of Jing’an District. (b) One-day shared-bikes’ usage data of Shanghai city.

(a)

(b)