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Table 1.

A list of notations used through the paper.

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Fig 1.

Bike departure and arrival event flows at a bike station.

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Fig 2.

This bike availability curve indicates possible excess demand for t ∈ (0, t1).

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Fig 3.

This bike availability curve indicates no excess demand for t ∈ (0, ta).

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Fig 4.

A segment of bike availability curve to illustrate the estimation of excess demand.

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Fig 5.

Histogram of estimated excess demand rate.

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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.

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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.

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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.

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Table 2.

Independent variable list.

The first three variables are numerical, and the remaining are categorical.

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Table 2 Expand

Table 3.

MSE of different time periods.

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Table 3 Expand

Fig 9.

Skellam probability distribution with parameters , .

.

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Table 4.

MSE of different time periods under Skellam model.

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