Skip to content

Commit

Permalink
Tnc updates and notebooks (#18)
Browse files Browse the repository at this point in the history 
* move other resources into folder since examples now part of package as well

* Add new skim lookups for the TNC bridge tolls return charges below.
- odr - origin to destination reverse
- dor - destination to origin reverse

TNC revisions:
- Update TNC bridge tolls so return charges are included
- Added ride-hail single and taxi constants for trip mode choice within ride-hail tour mode choice
- Reduced TNC wait time mean and sd slightly to in the highest density category
- Turned on origin density index constant (already used for walk, bike and walk-transit modes) for TNC single and TNC shared

* allow for a small number of stop locations within walking distance

* updated tnc ascs from tm 1.5 run

* add notebooks

* add readme for notebooks folder

* Interactive tutorial (#3)

* Add verification jupyter notebook

* add shapefile

* code review

* cleanup

* update shapefile note

Co-authored-by: Ben Stabler <bstabler@users.noreply.github.com>
Co-authored-by: bstabler <benstabler@yahoo.com>

* clean up folder setup

* finish summaries notebook

* updated getting started tutorial

* continue work on the recipe book

* estimation notebooks for larch (#19)

* notebooks for auto ownership and workplace location estimation

* minimally functional larch estimation mode notebooks

includes auto ownership, workplace location, tour mode
requires larch >= 5.3.7

* revised notebooks

uses new EDB for tour_mode_choice

* update example EDBs and estimation notebooks

* Fix tour mode choice notebook (#20)

Fill in missing values in values DataFrame

* update notebook

* update getting started notebook

* more notebook updates

* notebook for estimating school location (#21)

* create two and three zone test data, see also https://github.com/ActivitySim/activitysim/wiki/Multiple-Zone-Systems-Design

* update notebook markdown

* after merge from develop, resolve conflicts, pycodestyle, and add header to school location notebook

* small doc fix

* update tests EXPECT_TOUR_COUNT

* resolve conflict

Co-authored-by: Blake <blake.rosenthal@rsginc.com>
Co-authored-by: Jeffrey Newman <jeff@newman.me>
Co-authored-by: Jeff Doyle <toliwaga@gmail.com>
  • Loading branch information
@bstabler @jpn-- @toliwaga
4 people authored May 7, 2020
1 parent 5d844d6 commit 981627e
Show file tree
Hide file tree
Showing 123 changed files with 394,847 additions and 287,596 deletions.
6 changes: 6 additions & 0 deletions activitysim/abm/models/atwork_subtour_mode_choice.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -68,11 +68,17 @@ def atwork_subtour_mode_choice(
skim_key='out_period')
dot_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='in_period')
odr_skim_stack_wrapper = skim_stack.wrap(left_key=orig_col_name, right_key=dest_col_name,
skim_key='in_period')
dor_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='out_period')
od_skim_stack_wrapper = skim_dict.wrap(orig_col_name, dest_col_name)

skims = {
"odt_skims": odt_skim_stack_wrapper,
"dot_skims": dot_skim_stack_wrapper,
"odr_skims": odr_skim_stack_wrapper,
"dor_skims": dor_skim_stack_wrapper,
"od_skims": od_skim_stack_wrapper,
'orig_col_name': orig_col_name,
'dest_col_name': dest_col_name,
Expand Down
6 changes: 6 additions & 0 deletions activitysim/abm/models/tour_mode_choice.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -105,11 +105,17 @@ def tour_mode_choice_simulate(tours, persons_merged,
skim_key='out_period')
dot_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='in_period')
odr_skim_stack_wrapper = skim_stack.wrap(left_key=orig_col_name, right_key=dest_col_name,
skim_key='in_period')
dor_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='out_period')
od_skim_stack_wrapper = skim_dict.wrap(orig_col_name, dest_col_name)

skims = {
"odt_skims": odt_skim_stack_wrapper,
"dot_skims": dot_skim_stack_wrapper,
"odr_skims": odr_skim_stack_wrapper,
"dor_skims": dor_skim_stack_wrapper,
"od_skims": od_skim_stack_wrapper,
'orig_col_name': orig_col_name,
'dest_col_name': dest_col_name,
Expand Down
2 changes: 2 additions & 0 deletions activitysim/abm/models/trip_destination.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -200,6 +200,7 @@ def compute_logsums(
'ORIGIN': model_settings['TRIP_ORIGIN'],
'DESTINATION': model_settings['ALT_DEST_COL_NAME'],
"odt_skims": skims['odt_skims'],
"dot_skims": skims['dot_skims'],
"od_skims": skims['od_skims'],
}
destination_sample['od_logsum'] = compute_ood_logsums(
Expand All @@ -215,6 +216,7 @@ def compute_logsums(
'ORIGIN': model_settings['ALT_DEST_COL_NAME'],
'DESTINATION': model_settings['PRIMARY_DEST'],
"odt_skims": skims['dpt_skims'],
"dot_skims": skims['pdt_skims'],
"od_skims": skims['dp_skims'],
}
destination_sample['dp_logsum'] = compute_ood_logsums(
Expand Down
3 changes: 3 additions & 0 deletions activitysim/abm/models/trip_mode_choice.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -80,10 +80,13 @@ def trip_mode_choice(

odt_skim_stack_wrapper = skim_stack.wrap(left_key=orig_col, right_key=dest_col,
skim_key='trip_period')
dot_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col, right_key=orig_col,
skim_key='trip_period')
od_skim_wrapper = skim_dict.wrap('origin', 'destination')

skims = {
"odt_skims": odt_skim_stack_wrapper,
"dot_skims": dot_skim_stack_wrapper,
"od_skims": od_skim_wrapper,
}

Expand Down
6 changes: 6 additions & 0 deletions activitysim/abm/models/util/logsums.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -88,11 +88,17 @@ def compute_logsums(choosers,
skim_key='out_period')
dot_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='in_period')
odr_skim_stack_wrapper = skim_stack.wrap(left_key=orig_col_name, right_key=dest_col_name,
skim_key='in_period')
dor_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='out_period')
od_skim_stack_wrapper = skim_dict.wrap(orig_col_name, dest_col_name)

skims = {
"odt_skims": odt_skim_stack_wrapper,
"dot_skims": dot_skim_stack_wrapper,
"odr_skims": odr_skim_stack_wrapper,
"dor_skims": dor_skim_stack_wrapper,
"od_skims": od_skim_stack_wrapper,
'orig_col_name': orig_col_name,
'dest_col_name': dest_col_name
Expand Down
6 changes: 6 additions & 0 deletions activitysim/abm/models/util/vectorize_tour_scheduling.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -53,11 +53,17 @@ def _compute_logsums(alt_tdd, tours_merged, tour_purpose, model_settings, trace_
skim_key='out_period')
dot_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='in_period')
odr_skim_stack_wrapper = skim_stack.wrap(left_key=orig_col_name, right_key=dest_col_name,
skim_key='in_period')
dor_skim_stack_wrapper = skim_stack.wrap(left_key=dest_col_name, right_key=orig_col_name,
skim_key='out_period')
od_skim_stack_wrapper = skim_dict.wrap(orig_col_name, dest_col_name)

skims = {
"odt_skims": odt_skim_stack_wrapper,
"dot_skims": dot_skim_stack_wrapper,
"odr_skims": odr_skim_stack_wrapper,
"dor_skims": dor_skim_stack_wrapper,
"od_skims": od_skim_stack_wrapper,
'orig_col_name': orig_col_name,
'dest_col_name': dest_col_name,
Expand Down
11 changes: 7 additions & 4 deletions activitysim/abm/test/test_pipeline.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -341,7 +341,7 @@ def get_trace_csv(file_name):
return df


EXPECT_TOUR_COUNT = 201
EXPECT_TOUR_COUNT = 205


def regress_tour_modes(tours_df):
Expand Down Expand Up @@ -464,7 +464,8 @@ def test_full_run1():

print("tour_count", tour_count)

assert(tour_count == EXPECT_TOUR_COUNT)
assert(tour_count == EXPECT_TOUR_COUNT), \
"EXPECT_TOUR_COUNT %s but got tour_count %s" % (EXPECT_TOUR_COUNT, tour_count)

regress()

Expand All @@ -480,7 +481,8 @@ def test_full_run2():

tour_count = full_run(resume_after='non_mandatory_tour_scheduling', trace_hh_id=HH_ID)

assert(tour_count == EXPECT_TOUR_COUNT)
assert(tour_count == EXPECT_TOUR_COUNT), \
"EXPECT_TOUR_COUNT %s but got tour_count %s" % (EXPECT_TOUR_COUNT, tour_count)

regress()

Expand All @@ -498,7 +500,8 @@ def test_full_run3_with_chunks():
households_sample_size=HOUSEHOLDS_SAMPLE_SIZE,
chunk_size=500000)

assert(tour_count == EXPECT_TOUR_COUNT)
assert(tour_count == EXPECT_TOUR_COUNT), \
"EXPECT_TOUR_COUNT %s but got tour_count %s" % (EXPECT_TOUR_COUNT, tour_count)

regress()

Expand Down
2 changes: 1 addition & 1 deletion activitysim/examples/example_mtc/configs/destination_choice_size_terms.csv
View file
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ trip,eatout,0,0.742,0,0.258,0,0,0,0,0,0,0
trip,othmaint,0.001,0.481,0,0.518,0,0,0,0,0,0,0
trip,social,0.001,0.521,0,0.478,0,0,0,0,0,0,0
trip,othdiscr,0.252,0.212,0,0.272,0.165,0,0,0,0.098,0,0
trip,univ,0,0,0,0,0,0,0,0,0,0.592,0.408
trip,univ,0.001,0,0,0,0,0,0,0,0,0.592,0.408
# not needed as school is not chosen as an intermediate trip destination,,,,,,,,,,,,
#trip,gradeschool,0,0,0,0,0,0,0,1,0,0,0
#trip,highschool,0,0,0,0,0,0,0,0,1,0,0
6 changes: 3 additions & 3 deletions activitysim/examples/example_mtc/configs/tour_mode_choice.csv
View file
Original file line number Diff line number Diff line change
Expand Up @@ -263,14 +263,14 @@ util_Taxi_Fare,Taxi - Fare,@ivt_cost_multiplier * df.ivot * (Taxi_baseFare * 2 +
util_TNC_Single_In_vehicle_time,TNC Single - In-vehicle time,@(odt_skims['HOV2TOLL_TIME'] + dot_skims['HOV2TOLL_TIME']),,,,,,,,,,,,,,,,,,,,coef_ivt,
util_TNC_Single_Wait_time,TNC Single - Wait time,@1.5 * df.totalWaitSingleTNC,,,,,,,,,,,,,,,,,,,,coef_ivt,
util_TNC_Single_Tolls,TNC Single - Tolls,@ivt_cost_multiplier * df.ivot * (odt_skims['HOV2TOLL_VTOLL'] + dot_skims['HOV2TOLL_VTOLL']),,,,,,,,,,,,,,,,,,,,coef_ivt,
util_TNC_Single_Bridge_toll,TNC Single - Bridge toll,@ivt_cost_multiplier * df.ivot * (odt_skims['HOV2TOLL_BTOLL'] + dot_skims['HOV2TOLL_BTOLL']),,,,,,,,,,,,,,,,,,,,coef_ivt,
util_TNC_Single_Bridge_toll,TNC Single - Bridge toll,@ivt_cost_multiplier * df.ivot * (odt_skims['HOV2TOLL_BTOLL'] + odr_skims['HOV2TOLL_BTOLL'] + dot_skims['HOV2TOLL_BTOLL'] + dor_skims['HOV2TOLL_BTOLL']),,,,,,,,,,,,,,,,,,,,coef_ivt,
util_TNC_Single_Cost,TNC Single - Cost,"@ivt_cost_multiplier * df.ivot * np.maximum(TNC_single_baseFare * 2 + (odt_skims['HOV2TOLL_DIST'] + dot_skims['HOV2TOLL_DIST']) * TNC_single_costPerMile + (odt_skims['HOV2TOLL_TIME'] + dot_skims['HOV2TOLL_TIME']) * TNC_single_costPerMinute, TNC_single_costMinimum) * 100",,,,,,,,,,,,,,,,,,,,coef_ivt,
#,TNC Shared,,,,,,,,,,,,,,,,,,,,,,
util_TNC_Shared_In_vehicle_time,TNC Shared - In-vehicle time,@(odt_skims['HOV2TOLL_TIME'] + dot_skims['HOV2TOLL_TIME']) * TNC_shared_IVTFactor,,,,,,,,,,,,,,,,,,,,,coef_ivt
#, FIXME magic constant 1.5,,,,,,,,,,,,,,,,,,,,,,
util_TNC_Shared_Wait_time,TNC Shared - Wait time,@1.5 * df.totalWaitSharedTNC,,,,,,,,,,,,,,,,,,,,,coef_ivt
util_TNC_Shared_Tolls,TNC Shared - Tolls,@ivt_cost_multiplier * df.ivot * (odt_skims['HOV2TOLL_VTOLL'] + dot_skims['HOV2TOLL_VTOLL']),,,,,,,,,,,,,,,,,,,,,coef_ivt
util_TNC_Shared_Bridge_toll,TNC Shared - Bridge toll,@ivt_cost_multiplier * df.ivot * (odt_skims['HOV2TOLL_BTOLL'] + dot_skims['HOV2TOLL_BTOLL']),,,,,,,,,,,,,,,,,,,,,coef_ivt
util_TNC_Shared_Bridge_toll,TNC Shared - Bridge toll,@ivt_cost_multiplier * df.ivot * (odt_skims['HOV2TOLL_BTOLL'] + odr_skims['HOV2TOLL_BTOLL'] + dot_skims['HOV2TOLL_BTOLL'] + dor_skims['HOV2TOLL_BTOLL']),,,,,,,,,,,,,,,,,,,,,coef_ivt
util_TNC_Shared_Cost,TNC Shared - Cost,"@ivt_cost_multiplier * df.ivot * np.maximum(TNC_shared_baseFare * 2 + (odt_skims['HOV2TOLL_DIST'] + dot_skims['HOV2TOLL_DIST']) * TNC_shared_costPerMile + (odt_skims['HOV2TOLL_TIME'] + dot_skims['HOV2TOLL_TIME']) * TNC_shared_costPerMinute, TNC_shared_costMinimum) * 100",,,,,,,,,,,,,,,,,,,,,coef_ivt
#,indiv tour ASCs,,,,,,,,,,,,,,,,,,,,,,
util_Walk_ASC_Zero_auto,Walk ASC - Zero auto,@(df.is_indiv & (df.auto_ownership == 0)),,,,,,,walk_ASC_no_auto,,,,,,,,,,,,,,
Expand Down Expand Up @@ -343,4 +343,4 @@ util_Drive_to_Transit_distance_penalty,Drive to Transit - distance penalty,@drvt
util_Walk_not_available_for_long_distances,Walk not available for long distances,@od_skims.max('DISTWALK') > 3,,,,,,,-999,,,,,,,,,,,,,,
util_Bike_not_available_for_long_distances,Bike not available for long distances,@od_skims.max('DISTBIKE') > 8,,,,,,,,-999,,,,,,,,,,,,,
util_Drive_alone_not_available_for_escort_tours,Drive alone not available for escort tours,is_escort,-999,-999,,,,,,,,,,,,,,,,,,,
#, max(c_densityIndexOrigin*originDensityIndex,originDensityIndexMax),,,,,,,,,1,1,1,1,1,1,1,,,,,,
#, max(c_densityIndexOrigin*originDensityIndex,originDensityIndexMax),,,,,,,,,1,1,1,1,1,1,1,,,,,,
4 changes: 2 additions & 2 deletions activitysim/examples/example_mtc/configs/tour_mode_choice.yaml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@ CONSTANTS:
TNC_single_costPerMinute: 0.24
TNC_single_costMinimum: 7.20
TNC_single_waitTime_mean:
1: 4.7
1: 3.0
2: 6.3
3: 8.4
4: 8.5
Expand All @@ -114,7 +114,7 @@ CONSTANTS:
TNC_shared_costMinimum: 3.00
TNC_shared_IVTFactor: 1.5
TNC_shared_waitTime_mean:
1: 7.0
1: 5.0
2: 8.0
3: 11.0
4: 15.0
Expand Down
110 changes: 55 additions & 55 deletions activitysim/examples/example_mtc/configs/tour_mode_choice_coeffs.csv
View file
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ coef_nest_NONMOTORIZED,0.72,T
coef_nest_TRANSIT,0.72,T
coef_nest_TRANSIT_WALKACCESS,0.5,T
coef_nest_TRANSIT_DRIVEACCESS,0.5,T
coef_nest_RIDEHAIL,0.72,T
coef_nest_RIDEHAIL,0.36,T
coef_ivt_eatout_escort_othdiscr_othmaint_shopping_social,-0.0175,F
coef_ivt_school_univ,-0.0224,F
coef_ivt_work,-0.0134,F
Expand Down Expand Up @@ -193,59 +193,59 @@ drive_transit_ASC_auto_sufficient_social,-0.61585575,F
drive_transit_ASC_auto_sufficient_univ,1.3587753,F
drive_transit_ASC_auto_sufficient_work,-1.0045459,F
drive_transit_ASC_auto_sufficient_atwork,-999.21466,F
taxi_ASC_no_auto_eatout_othdiscr_social,0.5415,F
taxi_ASC_no_auto_escort_othmaint_shopping,0.4206,F
taxi_ASC_no_auto_eatout_othdiscr_social,0.9923,F
taxi_ASC_no_auto_escort_othmaint_shopping,1.8939,F
taxi_ASC_no_auto_school_univ,-7,T
taxi_ASC_no_auto_work,3.3083,F
taxi_ASC_no_auto_atwork,3.5519,F
taxi_ASC_auto_deficient_eatout_othdiscr_social,-3.2876,F
taxi_ASC_auto_deficient_escort_othmaint_shopping,-0.5186,F
taxi_ASC_no_auto_work,4.7291,F
taxi_ASC_no_auto_atwork,4.1021,F
taxi_ASC_auto_deficient_eatout_othdiscr_social,-3.1317,F
taxi_ASC_auto_deficient_escort_othmaint_shopping,0.1766,F
taxi_ASC_auto_deficient_school,-0.3338,F
taxi_ASC_auto_deficient_univ,4.2519,F
taxi_ASC_auto_deficient_work,-1.1105,F
taxi_ASC_auto_deficient_atwork,-4.7658,F
taxi_ASC_auto_sufficient_eatout_othdiscr_social,-2.2887,F
taxi_ASC_auto_sufficient_escort_othmaint_shopping,-2.3106,F
taxi_ASC_auto_deficient_univ,4.2492,F
taxi_ASC_auto_deficient_work,-1.4766,F
taxi_ASC_auto_deficient_atwork,-4.4046,F
taxi_ASC_auto_sufficient_eatout_othdiscr_social,-3.0374,F
taxi_ASC_auto_sufficient_escort_othmaint_shopping,-1.8055,F
taxi_ASC_auto_sufficient_school,-2.4294,F
taxi_ASC_auto_sufficient_univ,0.0537,F
taxi_ASC_auto_sufficient_work,-4.5089,F
taxi_ASC_auto_sufficient_atwork,-3.6275,F
tnc_single_ASC_no_auto_eatout_othdiscr_social,0.1592,F
tnc_single_ASC_no_auto_escort_othmaint_shopping,-0.0732,F
taxi_ASC_auto_sufficient_univ,-0.3131,F
taxi_ASC_auto_sufficient_work,-4.8509,F
taxi_ASC_auto_sufficient_atwork,-2.8804,F
tnc_single_ASC_no_auto_eatout_othdiscr_social,1.6852,F
tnc_single_ASC_no_auto_escort_othmaint_shopping,1.8605,F
tnc_single_ASC_no_auto_school,-7,T
tnc_single_ASC_no_auto_univ,-0.9993,F
tnc_single_ASC_no_auto_work,2.6502,F
tnc_single_ASC_no_auto_atwork,3.147,F
tnc_single_ASC_auto_deficient_eatout_othdiscr_social,-3.6369,F
tnc_single_ASC_auto_deficient_escort_othmaint_shopping,-0.9682,F
tnc_single_ASC_auto_deficient_school,-0.6524,F
tnc_single_ASC_auto_deficient_univ,0.3464,F
tnc_single_ASC_auto_deficient_work,-1.6322,F
tnc_single_ASC_auto_deficient_atwork,-5.0431,F
tnc_single_ASC_auto_sufficient_eatout_othdiscr_social,-2.8104,F
tnc_single_ASC_auto_sufficient_escort_othmaint_shopping,-2.8115,F
tnc_single_ASC_no_auto_univ,-2.519,F
tnc_single_ASC_no_auto_work,5.7855,F
tnc_single_ASC_no_auto_atwork,4.4982,F
tnc_single_ASC_auto_deficient_eatout_othdiscr_social,-2.9623,F
tnc_single_ASC_auto_deficient_escort_othmaint_shopping,0.6748,F
tnc_single_ASC_auto_deficient_school,-0.5524,F
tnc_single_ASC_auto_deficient_univ,1.0221,F
tnc_single_ASC_auto_deficient_work,-0.8013,F
tnc_single_ASC_auto_deficient_atwork,-3.7626,F
tnc_single_ASC_auto_sufficient_eatout_othdiscr_social,-2.3239,F
tnc_single_ASC_auto_sufficient_escort_othmaint_shopping,-1.45,F
tnc_single_ASC_auto_sufficient_school,-2.8375,F
tnc_single_ASC_auto_sufficient_univ,-0.4917,F
tnc_single_ASC_auto_sufficient_work,-4.9703,F
tnc_single_ASC_auto_sufficient_atwork,-3.9106,F
tnc_shared_ASC_no_auto_eatout_othdiscr_social,-0.889,F
tnc_shared_ASC_no_auto_escort_othmaint_shopping,-1.0868,F
tnc_single_ASC_auto_sufficient_univ,0.2088,F
tnc_single_ASC_auto_sufficient_work,-4.1946,F
tnc_single_ASC_auto_sufficient_atwork,-2.7988,F
tnc_shared_ASC_no_auto_eatout_othdiscr_social,0.6464,F
tnc_shared_ASC_no_auto_escort_othmaint_shopping,0.9361,F
tnc_shared_ASC_no_auto_school,-7,T
tnc_shared_ASC_no_auto_univ,-2.6912,F
tnc_shared_ASC_no_auto_work,0.7111,F
tnc_shared_ASC_no_auto_atwork,1.9189,F
tnc_shared_ASC_auto_deficient_eatout_othdiscr_social,-4.5876,F
tnc_shared_ASC_auto_deficient_escort_othmaint_shopping,-1.9093,F
tnc_shared_ASC_no_auto_univ,-5.8116,F
tnc_shared_ASC_no_auto_work,3.2429,F
tnc_shared_ASC_no_auto_atwork,3.3672,F
tnc_shared_ASC_auto_deficient_eatout_othdiscr_social,-4.3576,F
tnc_shared_ASC_auto_deficient_escort_othmaint_shopping,-0.3863,F
tnc_shared_ASC_auto_deficient_school,-1.4746,F
tnc_shared_ASC_auto_deficient_univ,-2.0394,F
tnc_shared_ASC_auto_deficient_work,-2.9216,F
tnc_shared_ASC_auto_deficient_atwork,-5.7572,F
tnc_shared_ASC_auto_sufficient_eatout_othdiscr_social,-3.9858,F
tnc_shared_ASC_auto_sufficient_escort_othmaint_shopping,-3.783,F
tnc_shared_ASC_auto_deficient_univ,3.25,F
tnc_shared_ASC_auto_deficient_work,-2.1435,F
tnc_shared_ASC_auto_deficient_atwork,-4.5089,F
tnc_shared_ASC_auto_sufficient_eatout_othdiscr_social,-3.6638,F
tnc_shared_ASC_auto_sufficient_escort_othmaint_shopping,-2.4365,F
tnc_shared_ASC_auto_sufficient_school,-3.7219,F
tnc_shared_ASC_auto_sufficient_univ,-1.6532,F
tnc_shared_ASC_auto_sufficient_work,-6.1634,F
tnc_shared_ASC_auto_sufficient_atwork,-4.7542,F
tnc_shared_ASC_auto_sufficient_univ,-0.9068,F
tnc_shared_ASC_auto_sufficient_work,-5.3575,F
tnc_shared_ASC_auto_sufficient_atwork,-3.5397,F
joint_walk_ASC_no_auto_all,-0.21274701,F
joint_walk_ASC_auto_deficient_all,-1.9607706,F
joint_walk_ASC_auto_sufficient_all,-3.2352157,F
Expand All @@ -264,15 +264,15 @@ joint_walk_transit_ASC_auto_sufficient_all,-18.264534,F
joint_drive_transit_ASC_no_auto_all,0,T
joint_drive_transit_ASC_auto_deficient_all,-5.9632215,F
joint_drive_transit_ASC_auto_sufficient_all,-8.045285,F
joint_taxi_ASC_no_auto_all,-1.2775,F
joint_taxi_ASC_auto_deficient_all,-6.734,F
joint_taxi_ASC_auto_sufficient_all,-7,T
joint_tnc_single_ASC_no_auto_all,-1.6608,F
joint_tnc_single_ASC_auto_deficient_all,-6.8524,F
joint_tnc_single_ASC_auto_sufficient_all,-7,T
joint_tnc_shared_ASC_no_auto_all,-1.9348,F
joint_tnc_shared_ASC_auto_deficient_all,-7.16,F
joint_tnc_shared_ASC_auto_sufficient_all,-7,T
joint_taxi_ASC_no_auto_all,-4.5792,F
joint_taxi_ASC_auto_deficient_all,-9.8157,F
joint_taxi_ASC_auto_sufficient_all,-11.7099,T
joint_tnc_single_ASC_no_auto_all,-4.4917,F
joint_tnc_single_ASC_auto_deficient_all,-9.8961,F
joint_tnc_single_ASC_auto_sufficient_all,-14.0159,T
joint_tnc_shared_ASC_no_auto_all,-4.3002,F
joint_tnc_shared_ASC_auto_deficient_all,-11.1572,F
joint_tnc_shared_ASC_auto_sufficient_all,-13.205,T
local_bus_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-0.090703264,F
local_bus_ASC_school_univ,-0.06508621,F
local_bus_ASC_work,0.06689507,F
Expand Down
Loading

0 comments on commit 981627e

Please sign in to comment.