Data for: Space-time Demand Cube for Spatiotemporal Coverage Optimization of Shared Bicycle Systems: A Study Using Big Bicycle GPS Data

Published: 17-09-2020| Version 1 | DOI: 10.17632/hhxvn8gxm2.1
Contributors:
Fayong Zhang,
Xinpei Zhao,
Lin Yang,
Ke Wang,
Shaotian Xia,
Mei-Po Kwan,
Zhiyong Zhang

Description

1. "bike demand.rar" provides the real bike demand data in terms of grid cell index in the study area. 2. "location model.py" provides the code of the location model used in this paper. 3. "Floating-population-based demand.csv" provides the floating population in terms of grid cell index in the study area. 3. "Candidate bike stations.csv" provides the potential candidate bike stations used for location model in the study area. 5. "Static-population-based demand.csv" provides the static population in terms of grid cell index in the study area.

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