Table 1.
A list of notations used through the paper.
Fig 1.
Bike departure and arrival event flows at a bike station.
Fig 2.
This bike availability curve indicates possible excess demand for t ∈ (0, t1).
Fig 3.
This bike availability curve indicates no excess demand for t ∈ (0, ta).
Fig 4.
A segment of bike availability curve to illustrate the estimation of excess demand.
Fig 5.
Histogram of estimated excess demand rate.
Fig 6.
Average p-values from the K-S test for all stations for departures (left) and arrivals (right).
The K-S test cannot reject the hypothesis that the observed data follow a Poisson distribution.
Fig 7.
Cumulative bike excess demand rate for different stations.
Reprinted from [40] under a CC BY license, with permission from OpenStreetMap, original copyright 2021.
Fig 8.
Cumulative dock excess demand rate for different stations.
Reprinted from [40] under a CC BY license, with permission from OpenStreetMap, original copyright 2021.
Table 2.
The first three variables are numerical, and the remaining are categorical.
Table 3.
MSE of different time periods.
Fig 9.
Skellam probability distribution with parameters ,
.
.
Table 4.
MSE of different time periods under Skellam model.