school_location.yaml

SAMPLE_SIZE: 30

SIMULATE_CHOOSER_COLUMNS:
  - TAZ
  - school_segment
  - household_id

# model-specific logsum-related settings
CHOOSER_ORIG_COL_NAME: TAZ
ALT_DEST_COL_NAME: alt_dest
IN_PERIOD: 14
OUT_PERIOD: 8

DEST_CHOICE_COLUMN_NAME: school_taz

# SAMPLE_SPEC: school_location_sample.csv
# SPEC: school_location.csv
SAMPLE_SPEC: school_location_sample.csv
SPEC: school_location.csv
COEFFICIENTS: school_location_coeffs.csv

LOGSUM_SETTINGS: tour_mode_choice.yaml
LOGSUM_PREPROCESSOR: nontour_preprocessor

LOGSUM_TOUR_PURPOSE:
  university: univ
  highschool: school
  gradeschool: school

annotate_persons:
  SPEC: annotate_persons_school
  DF: persons

# - shadow pricing

# required by initialize_households when creating school_destination_size table
CHOOSER_TABLE_NAME: persons

# size_terms model_selector
MODEL_SELECTOR: school

# chooser column with segment_id for this segment type
CHOOSER_SEGMENT_COLUMN_NAME: school_segment

# boolean column to filter choosers (True means keep)
CHOOSER_FILTER_COLUMN_NAME: is_student


# FIXME - these are assigned to persons in annotate_persons. we need a better way to manage this
SEGMENT_IDS:
  university: 3
  highschool: 2
  gradeschool: 1

# model adds these tables (informational - not added if commented out)
SHADOW_PRICE_TABLE: school_shadow_prices
MODELED_SIZE_TABLE: school_modeled_size

# not loaded if commented out
SAVED_SHADOW_PRICE_TABLE_NAME: school_shadow_prices.csv