Cordon pricing #1

zneedell · 2023-06-08T23:07:51Z

NOT FOR MERGING

Making a draft PR here to make it easier to compare

zneedell · 2023-06-08T23:10:27Z

configs/tour_mode_choice.csv

@@ -22,7 +22,7 @@ util_DRIVEALONEPAY_Terminal_time,DRIVEALONEPAY - Terminal time,@2 * walktimeshor
 util_DRIVEALONEPAY_Operating_cost,DRIVEALONEPAY - Operating cost,@ivt_cost_multiplier * df.ivot * costPerMile * (odt_skims['SOVTOLL_DIST'] + dot_skims['SOVTOLL_DIST']),,coef_ivt,,,,,,,,,,,,,,,,,,,
 util_DRIVEALONEPAY_Parking_cost,DRIVEALONEPAY - Parking cost,@ivt_cost_multiplier * df.ivot * df.daily_parking_cost,,coef_ivt,,,,,,,,,,,,,,,,,,,
 util_DRIVEALONEPAY_Bridge_toll,DRIVEALONEPAY - Bridge toll,@ivt_cost_multiplier * df.ivot * (odt_skims['SOVTOLL_BTOLL'] + dot_skims['SOVTOLL_BTOLL']),,coef_ivt,,,,,,,,,,,,,,,,,,,
-util_DRIVEALONEPAY_Value_toll,DRIVEALONEPAY - Value toll,@ivt_cost_multiplier * df.ivot * (odt_skims['SOVTOLL_VTOLL'] + dot_skims['SOVTOLL_VTOLL']),,coef_ivt,,,,,,,,,,,,,,,,,,,
+util_DRIVEALONEPAY_Value_toll,DRIVEALONEPAY - Value toll,@ivt_cost_multiplier * df.ivot * (odt_skims['SOVTOLL_VTOLL'] + dot_skims['SOVTOLL_VTOLL']) + cordon_toll  * df.is_dest_cordon - income_low_100_discount * df.is_income_lower_100,,coef_ivt,,,,,,,,,,,,,,,,,,,


Should the discount also be multiplied by df.is_dest_cordon here? Maybe something like

cordon_toll * df.is_dest_cordon ( 1 - income_low_100_discount * df.is_income_lower_100 )
if I'm understanding correctly

Or, if income_low_100_discount is dollars, something like

df.is_dest_cordon * (cordon_toll - income_low_100_discount * df.is_income_lower_100)

That's right, thanks for noticing !

I also multipied the cordon toll by '@ivt_cost_multiplier * df.ivot ' like the other part of the toll. I did a similar thing for the trip file as well.

Now looks like this:

util_DRIVEALONEPAY_Value_toll,DRIVEALONEPAY - Value toll,@ivt_cost_multiplier * df.ivot * (odt_skims['SOVTOLL_VTOLL'] + dot_skims['SOVTOLL_VTOLL'] + df.is_dest_cordon * (cordon_toll - income_low_100_discount * df.is_income_lower_100)),,coef_ivt,,,,,,,,,,,,,,,,,,,

zneedell · 2023-06-08T23:12:24Z

configs/tour_mode_choice_annotate_choosers_preprocessor.csv

@@ -72,3 +72,6 @@ local,_DF_IS_TOUR,'tour_type' in df.columns
 destination in central business district,destination_in_cbd,"(reindex(land_use.area_type, df[dest_col_name]) < setting('cbd_threshold')) * 1"
 #,,FIXME diagnostic
 #,sov_dist_rt,(odt_skims['SOV_DIST'] + dot_skims['SOV_DIST'])
+,is_dest_cordon, df[dest_col_name].isin(LIST_SMALL_CORDON_TAZS_SF)


I think this looks right but I'd just confirm that the destination TAZ names and LIST_SMALL_CORDON_TAZS_SF are the same data type. I think this might fail if the TAZ names are strings (I think they're integers but let's make sure)

zneedell · 2023-06-08T23:15:33Z

configs/trip_mode_choice.csv

+DRIVEALONEPAY - Operating cost,@df.c_cost * costPerMile * odt_skims['SOVTOLL_DIST'],,1,,,,,,,,,,,,,,,,,,,
+DRIVEALONEPAY - Parking cost,c_cost * total_parking_cost,,1,,,,,,,,,,,,,,,,,,,
+DRIVEALONEPAY - Bridge toll,@df.c_cost * odt_skims['SOVTOLL_BTOLL'],,1,,,,,,,,,,,,,,,,,,,
+DRIVEALONEPAY - Value toll,@df.c_cost * odt_skims['SOVTOLL_VTOLL'] + cordon_toll  * df.is_dest_cordon - income_low_100_discount * df.is_income_lower_100,,1,,,,,,,,,,,,,,,,,,,


Similar comment here

zneedell · 2023-06-08T23:17:38Z

configs/tour_mode_choice_annotate_choosers_preprocessor.csv

One thing you could try doing is in line 53 adding a filter to sov_available that marks (free) sov trips as not available for destinations within the cordon. That might mean we wouldn't have to do anything in PILATES at all if it works

zneedell · 2023-06-08T23:20:04Z

configs/trip_mode_choice.csv

+Description,Expression,DRIVEALONEFREE,DRIVEALONEPAY,SHARED2FREE,SHARED2PAY,SHARED3FREE,SHARED3PAY,WALK,BIKE,WALK_LOC,WALK_LRF,WALK_EXP,WALK_HVY,WALK_COM,DRIVE_LOC,DRIVE_LRF,DRIVE_EXP,DRIVE_HVY,DRIVE_COM,TAXI,TNC_SINGLE,TNC_SHARED
+#Drive alone no toll,,,,,,,,,,,,,,,,,,,,,,
+DRIVEALONEFREE - Unavailable,sov_available == False,-999,,,,,,,,,,,,,,,,,,,,
+DRIVEALONEFREE - Unavailable for zero auto households,auto_ownership == 0,-999,,,,,,,,,,,,,,,,,,,,


Similarly, I wonder if you could add another row here marking DRIVEALONEFREE (and the other free modes) as unavailable for destinations in the cordon:

DRIVEALONEFREE - Unavailable for trips in the cordon area,df.is_dest_cordon,-999,,,,,,,,,,,,,,,,,,,,

Great idea, I'll do in that way !

zneedell · 2023-06-08T23:20:55Z

configs/trip_mode_choice.csv

+SHARED2PAY - Operating cost,@df.c_cost * costPerMile * odt_skims['HOV2TOLL_DIST'],,,,1,,,,,,,,,,,,,,,,,
+SHARED2PAY - Parking cost,@df.c_cost * df.total_parking_cost / costShareSr2,,,,1,,,,,,,,,,,,,,,,,
+SHARED2PAY - Bridge toll,@df.c_cost * odt_skims['HOV2TOLL_BTOLL'] / costShareSr2,,,,1,,,,,,,,,,,,,,,,,
+SHARED2PAY - Value toll,@df.c_cost * odt_skims['HOV2TOLL_VTOLL'] / costShareSr2,,,,1,,,,,,,,,,,,,,,,,


I think we'd also want to add the cordon toll here (and for SHARED3PAY)

That's right, done !

zneedell · 2023-06-08T23:21:31Z

configs/trip_mode_choice.csv

+DRIVEALONEPAY - Value toll,@df.c_cost * odt_skims['SOVTOLL_VTOLL'] + cordon_toll  * df.is_dest_cordon - income_low_100_discount * df.is_income_lower_100,,1,,,,,,,,,,,,,,,,,,,
+DRIVEALONEPAY - Person is between 16 and 19 years old,@c_age1619_da * ((df.age >= 16) & (df.age <= 19)),,1,,,,,,,,,,,,,,,,,,,
+#Shared ride 2,,,,,,,,,,,,,,,,,,,,,,
+SHARED2FREE - Unavailable,hov2_available == False,,,-999,,,,,,,,,,,,,,,,,,


Could also add a new row here marking SHARED2FREE as unavailable for trips to the cordon area

That's right, done !

zneedell · 2023-06-08T23:23:05Z

configs/trip_mode_choice_coeffs.csv

@@ -115,3 +115,5 @@ joint_ride_hail_ASC_tnc_shared,0,0,0,0,0,0,0,0,0,0
 #,,,,,,,,,,
 c_walk_express_penalty,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt,10.00 * c_ivt
 adjust_tnc_shared,30 * c_ivt,30 * c_ivt,30 * c_ivt,30 * c_ivt,30 * c_ivt,30 * c_ivt,30 * c_ivt,30 * c_ivt,30 * c_ivt,30 * c_ivt
+cordon_toll,650 * c_ivt,650 * c_ivt,650 * c_ivt,650 * c_ivt,650 * c_ivt,650 * c_ivt,650 * c_ivt,650 * c_ivt,650 * c_ivt,650 * c_ivt
+income_low_100_discount,300 * c_ivt,300 * c_ivt,300 * c_ivt,300 * c_ivt,300 * c_ivt,300 * c_ivt,300 * c_ivt,300 * c_ivt,300 * c_ivt,300 * c_ivt


I don't quite understand this part (not to say I think it's wrong!) -- if we're including the cordon toll as part of the "value toll" that already exists, wouldn't that mean we don't need to change the utility functions at all?

Here I'm just defining the new coefficients to be used in the 'value toll' expression. Just defining the toll is 650 cents and the discount is 300 cents

zneedell · 2023-06-08T23:24:15Z

configs/trip_mode_choice.csv

+#TNC Single,,,,,,,,,,,,,,,,,,,,,,
+TNC Single - In-vehicle time,@c_ivt * odt_skims['HOV2TOLL_TIME'] ,,,,,,,,,,,,,,,,,,,,1,
+TNC Single - Wait time,@c_ivt * 1.5 * df.origSingleTNCWaitTime,,,,,,,,,,,,,,,,,,,,1,
+TNC Single - Tolls,@df.c_cost * odt_skims['HOV2TOLL_VTOLL'],,,,,,,,,,,,,,,,,,,,1,


Could add an additional component to the cost of TNCs here based on (I think) whether the trip either ends or starts in the cordon zone

That's right ! Thanks

Cristian Poliziani and others added 7 commits December 12, 2022 11:01

update rh prices

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cordon tolls

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correct cordon configs

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correct cordon tour configs

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zneedell commented Jun 8, 2023

View reviewed changes

cristian-poliziani added 22 commits June 10, 2023 11:55

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cristian-poliziani added 28 commits June 20, 2023 17:00

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Cordon pricing #1

Cordon pricing #1

zneedell commented Jun 8, 2023

zneedell Jun 8, 2023

zneedell Jun 8, 2023

cristian-poliziani Jun 10, 2023 •

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Cordon pricing #1

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Cordon pricing #1

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zneedell commented Jun 8, 2023

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cristian-poliziani Jun 10, 2023 • edited Loading

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cristian-poliziani Jun 10, 2023 •

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