Shared provision
This type of provision can be used for service types such as park etc. Where one demand doesn’t compete with any other demand.
[1]:
import pandas as pd
blocks_gdf = pd.read_pickle('./../../data/saint_petersburg/blocks.pickle')
accessibility_matrix = pd.read_pickle('./../../data/saint_petersburg/accessibility_matrix_intermodal.pickle')
[2]:
from blocksnet.config import service_types_config
service_type = 'park'
accessibility = service_types_config[service_type]['accessibility']
accessibility
[2]:
30
[4]:
from blocksnet.analysis.provision import shared_provision
gdf = blocks_gdf.rename(columns={f'capacity_{service_type}': 'capacity'})
blocks_df = shared_provision(gdf, accessibility_matrix, accessibility)
2025-09-19 18:44:28.328 | INFO | blocksnet.analysis.provision.shared.core:_initialize_provision_df:17 - Initializing provision DataFrame
2025-09-19 18:44:29.275 | SUCCESS | blocksnet.analysis.provision.shared.core:shared_provision:61 - Provision assessment finished
[5]:
blocks_df.head()
[5]:
| population | capacity | capacity_within | population_within | load | provision | |
|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 1680 | NaN | NaN |
| 1 | 0 | 1906 | 41932 | 23757 | 12.464323 | NaN |
| 2 | 109 | 0 | 0 | 904 | NaN | 0.0 |
| 3 | 77 | 0 | 0 | 904 | NaN | 0.0 |
| 4 | 431 | 0 | 0 | 63244 | NaN | 0.0 |
provision - how much capacity within the accessibility is provided per resident of the block
[6]:
ax=blocks_gdf.plot(color='#ddd', figsize=(10,8))
blocks_gdf[['geometry']].join(blocks_df).plot(ax=ax, column='provision', cmap='RdYlGn', vmin=0, vmax=100, legend=True).set_axis_off()
load - how much population within the accessibility is provided by the capacity of the block
[8]:
ax=blocks_gdf.plot(color='#ddd', figsize=(10,8))
blocks_gdf[['geometry']].join(blocks_df).plot(ax=ax, column='load', cmap='RdYlGn_r', vmin=0, vmax=100, legend=True).set_axis_off()
