Mobility demand mesh-grid datasets

15m_flat_bike_count.h5: Table that contains the number of bike rides that started on every bike station in Chicago, per time interval. Time resolution is 15min, covering 2013-2020 (280512 timestamps). 15m_flat_bike_norm_abs.h5: Same as 15m_flat_bike_count.h5, but normalized using the maximum number of rides recorded in that period, i.e.: 84. The normalization is calculated as x' = (x - min(X)) / (max(X) - min(X)). 15m_flat_taxi_count.h5: Table that contains the number of taxi trip counts that started on every taxi zone in Chicago, per time interval. Time resolution is 15min, covering 2013-2020 (280512 timestamps). 15m_flat_taxi_norm_abs.h5: Same as 15m_flat_taxi_count.h5, but normalized using the maximum number of trips recorded in that period, i.e.: 418. The normalization is calculated as x' = (x - min(X)) / (max(X) - min(X)). 15m_map_90_60_bike_norm_abs.h5: Mobility mesh-grid for bikes, calculated from 15m_flat_bike_norm_abs.h5 counting the total number of rides per element of the grid and time interval. The final shape of the dataset is 280512 x 90 x 60. 15m_map_90_60_taxi_norm_abs.h5: Mobility mesh-grid for taxis, calculated from 15m_flat_taxi_norm_abs.h5 using linear interpolation. The final shape of the dataset is 280512 x 90 x 60. station-locations-bike.csv: Geolocations of the bicycle racks of Chicago. zone-centroids-taxi.csv: Geolocations of the centroids of the taxi zones of Chicago. grid-locations-bike.csv: Locations of the elements of a 90x60 grid overlaying Chicago that contain bicycle racks. holidays.csv: Holidays in Chicago for the period 2013-2020.