Data for: Space-time Demand Cube for Spatiotemporal Coverage Optimization of Shared Bicycle Systems: A Study Using Big Bicycle GPS Data
Published: 17 September 2020| Version 1 | DOI: 10.17632/hhxvn8gxm2.1
Contributors:
Fayong Zhang, Xinpei Zhao, Lin Yang, Ke Wang, Shaotian Xia, Mei-Po Kwan, Zhiyong ZhangDescription
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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Categories
Geographic Information Systems, Location Modeling