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Kristoff #1

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9ec2ff9
update amenity scores to include new measures
kristoffPotgieter Nov 10, 2022
39ed5af
changes to amenities
kristoffPotgieter Nov 17, 2022
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261 changes: 95 additions & 166 deletions calib_nb.ipynb
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10 changes: 6 additions & 4 deletions calibration/calib_main_func.py
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Original file line number Diff line number Diff line change
Expand Up @@ -502,10 +502,12 @@ def estim_util_func_param(data_number_formal, data_income_group,
# NB: choice has to do with relevance and exogeneity of variables
# Choice set is relevant but may only refer to a small subset of locations
# (train stations are often dysfunctional, for instance)
variables_regression = [
'distance_distr_parks', 'distance_ocean', 'distance_ocean_2_4',
'distance_urban_herit', 'airport_cone2', 'slope_1_5', 'slope_5',
'distance_biosphere_reserve', 'distance_train']
variables_regression = amenities_sp.columns

# [
# 'distance_distr_parks', 'distance_ocean', 'distance_ocean_2_4',
# 'distance_urban_herit', 'airport_cone2', 'slope_1_5', 'slope_5',
# 'distance_biosphere_reserve', 'distance_train']

# We run the parameter scanning.
# Note that this may be long to run as it depends on the combination of all
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23 changes: 21 additions & 2 deletions calibration/sub/import_amenities.py
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Expand Up @@ -75,13 +75,32 @@ def import_exog_amenities(path_data, path_precalc_inp, dim):
amenity_data.distance_power_station < 2,
amenity_data.distance_biosphere_reserve < 2])
),
columns=['distance_distr_parks', 'distance_ocean',
'distance_ocean_2_4', 'distance_world_herit',
columns=['distance_distr_parks', 'distance_ocean','distance_ocean_2_4',
'distance_world_herit',
'distance_world_herit_2_4', 'distance_urban_herit',
'distance_UCT', 'airport_cone2', 'slope_1_5', 'slope_5',
'distance_train', 'distance_protected_envir',
'distance_protected_envir_2_4', 'RDP_proximity',
'distance_power_station', 'distance_biosphere_reserve']
)

# these are the amenities which feed into the model
keep = [
'distance_distr_parks', 'distance_ocean', 'distance_ocean_2_4',
'distance_urban_herit', 'airport_cone2', 'slope_1_5', 'slope_5',
'distance_biosphere_reserve', 'distance_train']
table_amenities = table_amenities[keep]


# # these new columns have been added to the amenities for testing
# newAmmenities=['publicHealthCare', 'privateHealthcare', 'sportsgrounds',
# 'publicHighSchool', 'independentHighSchool', 'HighmastLight']
# table_amenities[newAmmenities]=amenity_data[newAmmenities].astype(int)

return table_amenities

if __name__=="__main__":
import os
os.chdir('..')
out=import_exog_amenities("Data/data_Cape_Town/", 'Data/precalculated_inputs/', dim="SP")