Logsums

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The following tables are generated by the RunLogsums step.

person_workDCLogsum.csv

Column Name	Definition	Possible Values/Range
taz	Traffic Analysis Zone (TAZ) of home location	Positive integers (1-1454).
walk_subzone	Walk to transit sub-zone	Integer, 0 - cannot walk to transit; 1 - short-walk to transit; 2 - long-walk to transit
autos	Household automobiles	Integer (0, 1, 2) - from dummy households
autonomousVehicles	Household automobiles, autonomous	Integer (0, 1) - from dummy households
income_group	Annual household income ($2000) label	Integer, 1 - lowInc, 2 - medInc, 3 - highInc, 4 - veryHighInc
workDCLogsum	Workplace destination choice logsum	Float

workDCLogsum.csv

A wide table version of person_workDCLogsum.csv, based on the following grouping (representing accessibility markets): income_group + auto_sufficiency + AV presence + subzone. TAZ is the key, therefore one row for each TAZ.

mandatoryAccessibilities.csv

Similar to workDCLogsum.csv, but with grouping = income_group + auto_sufficiency + AV presence, and taz + subzone as the key, to be consistent with old mandatoryAccessiblities file.

tour_shopDCLogsum.csv

Column Name	Definition	Possible Values/Range
taz	Traffic Analysis Zone (TAZ) of home location	Positive integers (1-1454).
walk_subzone	Walk to transit sub-zone	Integer, 0 - cannot walk to transit; 1 - short-walk to transit; 2 - long-walk to transit
autos	Household automobiles	Integer (0, 1, 2) - from dummy households
autonomousVehicles	Household automobiles, autonomous	Integer (0, 1) - from dummy households
income_group	Annual household income ($2000) label	Integer, 1 - lowInc, 2 - medInc, 3 - highInc, 4 - veryHighInc
dcLogsum	Shopping destination choice logsum	Float

shopDCLogsum.csv

A wide table version of tour_shopDCLogsum.csv, based on the following grouping (representing accessibility markets): income_group + auto_sufficiency + AV presence + subzone. TAZ is the key, therefore one row for each TAZ.

nonMandatoryAccessibilities.csv

Similar to shopDCLogsum.csv, but with grouping = income_group + auto_sufficiency + AV presence, and taz + subzone as the key, to be consistent with old nonMandatoryAccessiblities file.

AccessibilityMarkets.csv

Generated from households and persons datasets, by AccessibilityMarkets.R.

Column Name	Definition	Possible Values/Range
taz	Traffic Analysis Zone (TAZ) of home location	Positive integers (1-1454).
walk_subzone	Walk to transit sub-zone	Integer, 0 - cannot walk to transit; 1 - short-walk to transit; 2 - long-walk to transit
walk_subzone_label	Walk to transit sub-zone label	String, "Cannot walk to transit", "Short-walk to transit", "Long-walk to transit"
incQ	Annual household income ($2000) quartile label	Integer, 1 - lowInc, 2 - medInc, 3 - highInc, 4 - veryHighInc
incQ_label	Annual household income ($2000) quartile label	String, "lowInc", "medInc", "highInc", "veryHighInc"
autoSuff	Household auto sufficiency label (workers vs. autos)	Integer, 0 - zero auto, 1 - autos less than workers, 2 - autos equal to or greater than workers
autoSuff_label	Household auto sufficiency label (workers vs. autos)	String, "0_autos" (zero auto), "autos_lt_workers" (less than), "autos_ge_workers" (equal to or greater than)
hasAV	Indicator for autonomous vehicle ownership	0 (no AV), 1 (has AV)
num_persons	Number of persons in the segment	Positive integers
num_workers	Number of workers in the segment	Positive integers
num_workers_students	Number of workers and students in the segment	Positive integers

subzone_logsums_for_BAUS.csv

Column Name	Definition	Possible Values/Range
taz	Traffic Analysis Zone (TAZ) of home location	Positive integers (1-1454).
taz_subzone	Concatenation of TAZ and Walk to transit sub-zone ({0:'c', 1:'a', 2:'b'} for subzone mapping)	String, 1a, 1b, 1c, 2a, ... 1454a, 1454b, 1454c
mandatory_logsum	Weighted relative mandatory logsum (weighting details)	Float
nonmandatory_logsum	Weighted relative non-mandatory logsum	Float
combo_logsum_prescale	Combination of Combine mandatory and non-mandatory logsums	Float
combo_logsum	Combo logsum after scaling (details)	Float