Relevant data for the hybrid choice model

This file identifies the relevant data for the hybrid choice model, that are shared by several specifications.

Michel Bierlaire, EPFL Thu May 15 2025, 15:47:42

Latent variables

car_centric_name = 'car_centric_attitude'
urban_preference_name = 'urban_preference_attitude'

Indicators for the car centric attitude.

car_likert_indicators = {
    'Envir01',
    'Envir02',
    'Envir06',
    'Mobil03',
    'Mobil04',
    'Mobil05',
    'Mobil06',
    'Mobil07',
    'Mobil08',
    'Mobil09',
    'Mobil10',
    'LifSty07',
    'LifSty08',
}
normalized_car = 'Envir01'

# car_binary_indicators = {'moreThanOneCar', 'moreThanOneBike', 'haveGA'}
car_binary_indicators = set()

indicators for the urban preference attitude

urban_likert_indicators = {
    'ResidCh01',
    'ResidCh02',
    'ResidCh03',
    'ResidCh05',
    'ResidCh06',
    'ResidCh07',
    'LifSty07',
}
normalized_urban = 'ResidCh01'

# urban_binary_indicators = {'individualHouse'}
urban_binary_indicators = set()

Latent variable for the car centric attitude

car_explanatory_variables: list[str] = [
    'highEducation',
    'top_manager',
    'employees',
    'age_30_less',
    'ScaledIncome',
    'car_oriented_parents',
]


normalized = {'Envir01': -1, 'ResidCh01': 1}

Latent variable for the urban preference attitude

urban_explanatory_variables: list[str] = [
    'childSuburb',
    'age_30_less',
    'haveChildren',
    'individualHouse',
    'owningHouse',
    'single',
    'ScaledIncome',
    'city_center_as_kid',
]

List of all explanatory variables

all_explanatory_variables = car_explanatory_variables + urban_explanatory_variables

All indicators

latent_variables_indicators = {
    car_centric_name: car_likert_indicators,
    urban_preference_name: urban_likert_indicators,
}