tutorial_demand_from_grid_use_zone_id_in_node.py

"""
# -*- coding:utf-8 -*-
##############################################################
# Created Date: Monday, September 11th 2023
# Contact Info: luoxiangyong01@gmail.com
# Author/Copyright: Mr. Xiangyong Luo
##############################################################
"""

from __future__ import absolute_import
import grid2demand as gd


if __name__ == "__main__":

    # Step 0: Specify input directory
    INPUT_DIR = r"datasets\demand_from_grid_use_zone_id_in_node\ASU\auto"

    # Initialize a GRID2DEMAND object, and specify the mode_type as "auto" in default
    net = gd.GRID2DEMAND(INPUT_DIR, use_zone_id=True, mode_type="auto")

    # Step 1: Load node and poi data from input directory
    net.load_network()

    # Step 2: create grids by specifying number of x blocks and y blocks
    net.net2grid()

    # Step 3: Generate zone dictionary from zone.csv
    net.taz2zone()

    # Step 4: Map the zone id in node and poi, vise versa
    net.map_zone_node_poi()

    # Step 5: Calculate zone-to-zone travel time matrix
    net.calc_zone_od_distance(pct=1)

    # Step 6: Run gravity model to generate agent-based demand
    net.run_gravity_model()

    # Step 7: Output demand, agent, zone, zone_od_dist_table, zone_od_dist_matrix files
    net.save_results_to_csv(zone=False, node=True, poi=False, agent=True, overwrite_file=False)