This is a Python package to look up expected average parking times at any given location in the Helsinki metropolitan area, using the values surveyed by Vesanen (2020)
This package is used, for instance, for calculating travel time matrices of the metropolitan area.
pip install git+https://github.com/DigitalGeographyLab/parking-times-calculator.git
Instantiate a ParkingTimesCalculator() and call its method parking_times(),
using a shapely.Point as an argument. The return value (int) is the expected
delay arising from finding a parking spot and walking to the destination, in
minutes.
>>> from parking_times_calculator import ParkingTimesCalculator
>>> import shapely
>>> p = shapely.Point(60.20, 24.95)
>>> parking_times_calculator = ParkingTimesCalculator()
>>> parking_times_calculator.parking_time(p)
4
You can geopandas.apply() this method to a geometry column:
df["parking_times"] = df["geometry"].apply(parking_times_calculator.parking_time)