From e2f939bcdcdbb05cc71e0de3cf916b82e06acd33 Mon Sep 17 00:00:00 2001 From: Mansi Sharma Date: Fri, 27 Dec 2024 12:49:39 -0800 Subject: [PATCH 1/4] Documentation updates --- docs/design/demand/resident.md | 4 +- docs/inputs.md | 445 ++++-------------- docs/outputs.md | 798 ++++++++++++++++----------------- 3 files changed, 475 insertions(+), 772 deletions(-) diff --git a/docs/design/demand/resident.md b/docs/design/demand/resident.md index a8b5df620..c34b9aefb 100644 --- a/docs/design/demand/resident.md +++ b/docs/design/demand/resident.md @@ -14,7 +14,7 @@ The resident model design is shown below. ![](../../images/design/resident_model_design.png) -The first model in the sequence is disaggregate accessibilities. This is a recent addition to ActivitySim in which the tour destination choice model is run for a prototypical sample population covering key market segments and destination choice logsums from the model are written out for each tour in the population. These destination choice logsums are then merged with the actual synthetic population and used as accessibility variables in downstream models such as auto ownership, coordinated daily activity patterns, and tour frequency. are mandatory location choice; this model is run for all workers and students regardless of whether they attend work or school on the simulated day. +The first model in the sequence is disaggregate accessibilities. This is a recent addition to ActivitySim in which the tour destination choice model is run for a prototypical sample population covering key market segments and destination choice logsums from the model are written out for each tour in the population. These destination choice logsums are then merged with the actual synthetic population and used as accessibility variables in downstream models such as auto ownership, coordinated daily activity patterns, and tour frequency are mandatory location choice; this model is run for all workers and students regardless of whether they attend work or school on the simulated day. Next a set of long-term and mobility models are run. The first model in the sequence predicts whether an autonomous vehicle is owned by the household. This model conditions the next model, which predicts the number of autos owned. If an autonomous vehicle is owned, multiple cars are less likely. Next, the mandatory (work and school) location choice models are run. The work location choice models includes a model to predict whether the worker has a usual out-of-home work location or exclusively works from home. If the worker chooses to work from home, they will not generate a work tour. An external worker identification model determines whether each worker with an out-of-home workplace location works within the region or external to the region. If they work external to the region, the external station is identified. Any primary destination of any work tours generated by the worker will be the external station chosen by this model. A work location choice model predicts the internal work location of each internal worker, and a school location choice model predicts the school location of each student. @@ -22,7 +22,7 @@ Next, a set of models predicts whether workers and students have subsidized tran Next, we predict whether each household has access to a vehicle transponder which can be used for managed lane use. We assume that all vehicles built after a certain year (configurable by the user) are equipped with transponders. Next we predict whether each worker has subsidized parking available at work. Finally we predict the telecommute frequency of each worker, which affects downstream models including the daily activity pattern model, the non-mandatory tour frequency model, and stop frequency models. -Next the daily and tour level models are run. The first daily model is the daily activity pattern model is run, which predicts the general activity pattern type for every household member. Then Mandatory tours are generated for workers and students, the tours are scheduled (their location is already predicted by the work/school location choice model), a vehicle availability model is run that predicts which household vehicle would be used for the tour, and the tour mode is chosen. After mandatory tours are generated, a school pickup/dropoff model forms half-tours where children are dropped off and/or picked up at school. The model assigns chaperones to drive or ride with children, groups children together into “bundles” for ride-sharing, and assigns the chaperone task to either a generated work tour or generates a new tour for the purpose of ridesharing. Fully joint tours – tours where two or more household members travel together for the entire tour - are generated at a household level, their composition is predicted (adults, children or both), the participants are determined, the vehicle availability model is run, and a tour mode is chosen. The primary destination of fully joint tours is predicted, the tours are scheduled, the vehicle availability model is run, and a tour mode is chosen. Next, non-mandatory tours are generated, their primary destination is chosen, they are scheduled, the vehicle availability model is run, and a tour mode is chosen for each. At-work subtours are tours that start and end at the workplace. These are generated, scheduled (with constraints that the start and end times must nest within the start and end time of the parent work tour), a primary destination is selected, the vehicle availability model is run, and a tour mode is chosen. +Next the daily and tour level models are run. The first daily model run is the daily activity pattern model, which predicts the general activity pattern type for every household member. Then Mandatory tours are generated for workers and students, the tours are scheduled (their location is already predicted by the work/school location choice model), a vehicle availability model is run that predicts which household vehicle would be used for the tour, and the tour mode is chosen. After mandatory tours are generated, a school pickup/dropoff model forms half-tours where children are dropped off and/or picked up at school. The model assigns chaperones to drive or ride with children, groups children together into “bundles” for ride-sharing, and assigns the chaperone task to either a generated work tour or generates a new tour for the purpose of ridesharing. Fully joint tours – tours where two or more household members travel together for the entire tour - are generated at a household level, their composition is predicted (adults, children or both), the participants are determined, the vehicle availability model is run, and a tour mode is chosen. The primary destination of fully joint tours is predicted, the tours are scheduled, the vehicle availability model is run, and a tour mode is chosen. Next, non-mandatory tours are generated, their primary destination is chosen, they are scheduled, the vehicle availability model is run, and a tour mode is chosen for each. At-work subtours are tours that start and end at the workplace. These are generated, scheduled (with constraints that the start and end times must nest within the start and end time of the parent work tour), a primary destination is selected, the vehicle availability model is run, and a tour mode is chosen. The major tour modes are shown below: ```mermaid diff --git a/docs/inputs.md b/docs/inputs.md index b8b3e5aff..19ec5b0bd 100644 --- a/docs/inputs.md +++ b/docs/inputs.md @@ -25,54 +25,26 @@ The table below contains brief descriptions of the input files required to execu | --- | --- | --- | --- | | **Land Use** | | | | | [mgra_based_input{SCENARIO_YEAR}.csv](#lu) | Land use forecast of the size and structure of the region’s economy and corresponding demographic forecast | CSV | Land Use Modelers, Transportation Modelers, and GIS | -| [activity_code_indcen_acs.csv](#activity_mapping) | PECAS activity code categories mapping to Census industry codes; This is used for military occupation mapping. | CSV | Land Use Modelers | -| [pecas_occ_occsoc_acs.csv](#pecas_occ) | PECAS activity code categories mapping to Census industry codes | CSV | Lande Use Modelers | -| [mobilityHubMGRA.csv](#mobility_mgra) | | CSV | Transportation Modelers | | **Synthetic Population** | | | | | [households.csv](#population_synth_households) | Synthetic households | CSV | Transportation Modelers | | [persons.csv](#population_synth_persons) | Synthetic persons | CSV | Transportation Modelers | -| **Network: Highway (to be updated with TNED)** | | | | -| hwycov.e00 | Highway network nodes from GIS | ESRI input exchange | Transportation Modelers | -| hwycov.e00 | Highway network links from GIS | ESRI input exchange | Transportation Modelers | -| turns.csv | Highway network turns file | CSV | Transportation Modelers | -| LINKTYPETURNS.dbf | Highway network link type turns table | DBF | Transportation Modelers | -| LINKTYPETURNSCST.DBF | | DBF | Transportation Modelers | +| **Network** | | | | +| EmmeOutputs.gdb | Network Input Files | GDB | Transportation Modelers | +| transit_connectors | Input Files | | | | [vehicle_class_toll_factors.csv](#vehicle_class_toll) | Relative toll values by six vehicle classes by Facility name. Used to identify "free for HOV" type managed lane facilities. | CSV | Transportation Modelers | -| [off_peak_toll_factors.csv](#off_peak_toll) | Relative toll values for the three off-peak times-of-day (EA, MD, EV) by Facility name. Multiplied together with the values from vehicle_class_toll_factors.csv to get the final toll. | CSV | Transportation Modelers | -| [vehicle_class_availability.csv](#hwy_link_vehicle_class_availability) | The availability / unavailability of six vehicle classes for five times-of-day by facility name. | CSV | Transportation Modelers | -| **Network: Transit (To be updated with TNED)** | | | | -| trcov.e00 | Transit network arc data from GIS | ESRI input exchange | Transportation Modelers | -| trcov.e00 | Transit network node data from GIS | ESRI input exchange | Transportation Modelers | | [trlink.csv](#tr_link) | Transit route with a list of links file | CSV | Transportation Modelers | | trrt.csv | Transit route attribute file | CSV | Transportation Modelers | | [trstop.csv](#transit_binary_stop) | Transit stop attribute file | TCSV | Transportation Modelers | | mode5tod.csv | Transit mode parameters table | CSV | Transportation Modelers | | [timexfer_XX.csv](#transit_transfer_proh) | Transit timed transfers table between COASTER and feeder buses; XX is the TOD (EA, AM, MD, PM, and EV) | CSV | Transportation Modelers | | special_fares.txt | Fares to coaster | Text File | Transportation Modelers | -| **Network: Active Transportation** | | | | +| [mobilityHubMGRA.csv](#mobility_mgra) | | CSV | Transportation Modelers | | [SANDAG_Bike_Net.dbf](#bike_net_link) | Bike network links | DBF | GIS | | [SANDAG_Bike_Node.dbf](#bike_net_node) | Bike network nodes | DBF | GIS | | [bikeTazLogsum.csv](#bike_taz_logsum) (not saved in inputs, instead, run at the beginning of a model run) | Bike TAZ logsum | CSV | Transportation Modelers | | [bikeMgraLogsum.csv](#bike_mgra_logsum) (not saved in inputs, instead, run at the beginning of a model run) | Bike MGRA logsum | CSV | Transportation Modelers | -| [walkMgraEquivMinutes.csv](#walk_mgra_equiv) (not saved in inputs, instead, run at the beginning of a model run) | Walk, in minutes, between MGRAs | CSV | | | | | | -| **Visitor Model (Derived from visitor survey)** | | | | -| visitor_businessFrequency.csv | Visitor model tour frequency distribution for business travelers | CSV | Transportation Modelers | -| visitor_personalFrequency.csv | Visitor model tour frequency distribution for personal travelers | CSV | Transportation Modelers | -| visitor_partySize.csv | Visitor model party size distribution | CSV | Transportation Modelers | -| visitor_autoAvailable.csv | Visitor model auto availability distribution | CSV | Transportation Modelers | -| visitor_income.csv | Visitor model income distribution | CSV | Transportation Modelers | -| visitor_tourTOD.csv | Visitor model tour time-of-day distribution | CSV | Transportation Modelers | -| visitor_stopFrequency.csv | Visitor model stop frequency distribution | CSV | Transportation Modelers | -| visitor_stopPurpose.csv | Visitor model stop purpose distribution | CSV | Transportation Modelers | -| visitor_outboundStopDuration.csv | Visitor model time-of-day offsets for outbound stops | CSV | Transportation Modelers | -| visitor_inboundStopDuration.csv | Visitor model time-of-day offsets for inbound stops | CSV | Transportation Modelers | -| **Airport Model (Derived from airport survey)** | | | | -| [airport_purpose.csv](#airport_trip_purpose) | Airport model tour purpose frequency table | CSV | Transportation Modelers | -| [airport_party.csv](#airport_party_purpose) | Airport model party type frequency table | CSV | Transportation Modelers | -| [airport_nights.csv](#airport_nights) | Airport model trip duration frequency table | CSV | Transportation Modelers | -| [airport_income.csv](#airport_income) | Airport model trip income distribution table | CSV | Transportation Modelers | -| [airport_departure.csv](#airport_departure) | Airport model time-of-day distribution for departing trips | CSV | Transportation Modelers | -| [airport_arrival.csv](#airport_arrival) | Airport model time-of-day distribution for arriving trips | CSV | Transportation Modelers | +| mgra15.shp | | SHP | | +| taz15.shp | | SHP | | | **Cross-Border Model (Derived from cross-border survey)** | | | | | crossBorder_tourPurpose_control.csv | | CSV | | | crossBorder_tourPurpose_nonSENTRI.csv | Cross Border Model tour purpose distribution for Non-SENTRI tours | CSV | Transportation Modelers | @@ -84,33 +56,35 @@ The table below contains brief descriptions of the input files required to execu | [crossBorder_stopPurpose.csv](#cross_border_stop_purpose) | Cross Border Model stop purpose distribution | CSV | Transportation Modelers | | [crossBorder_outboundStopDuration.csv](#cross_border_out_stop) | Cross Border Model time-of-day offsets for outbound stops | CSV | Transportation Modelers | | [crossBorder_inboundStopDuration.csv](#cross_border_in_stop) | Cross Border Model time-of-day offsets for inbound stops | CSV | Transportation Modelers | +| [closest_maz_to_external_tazs.csv](#closest_maz_to_external_tazs) | | CSV | Transportation Modelers | +| [mazs_xborder.csv](#mazs_xborder) | | CSV | Transportation Modelers | | **External Models (Derived from SCAG survey)** | | | | | [externalExternalTripsByYear.csv](#external_trip) (raw inputs have these by year) | External origin-destination station trip matrix | CSV | Transportation Modelers | | | | | | [externalInternalControlTotalsByYear.csv](#external_internal) (raw inputs have these by year) | External Internal station control totals read by GISDK | CSV | Transportation Modelers | | | | | | [internalExternal_tourTOD.csv](#internal_external_tod) | Internal-External Model tour time-of-day frequency distribution | CSV | Transportation Modelers | -| **CVM Establishment Synthesis** | -| land_use | MGRA based land use file | CSV | | -| percent_of_establishments_by_luz_size_emp_cat.xlsx | Percent of establishments in LUZ that belong in each size category by industry sector | Excel Workbook | | +| [resident_ie_size_term.csv](#resident_ie_size_term) | | CSV | Transportation Modelers | **Commercial Vehicle Model** | | | | -| SynthEstablishments.csv | Output from CVM establishment synthesis, similar description as previous part | CSV | | -| MGRAEmpByEstSize.csv | MGRA Based synthetically generated establishments. Used for disgnostic purposes, not for simulation | CSV | | -| SummaryEstablishments.csv | Contains information about synthetically generated establishments to be used as inputs to the commercial vehicle model | CSV | | -| **Truck Model** | | | | -| TruckTripRates.csv | Truck model data: Truck trip rates | CSV | Transportation Modelers | -| regionalEItrips.csv | Truck model data: Truck external to internal data | CSV | Transportation Modelers | -| regionalIEtrips.csv | Truck model data: Truck internal to external data | CSV | Transportation Modelers | -| regionalEEtrips.csv | Truck model data: Truck external to external data | CSV | Transportation Modelers | -| specialGenerators.csv | Truck model data: Truck special generator data | CSV | Transportation Modelers | +| land_use(output from preprocessing step) | MGRA based land use file | CSV | | +| percent_of_establishments_by_luz_size_emp_cat.xlsx | Percent of establishments in LUZ that belong in each size category by industry sector | Excel Workbook | | +| CVM\SynthEstablishments.csv | Output from CVM establishment synthesis, similar description as previous part | CSV | | +| CVM\MGRAEmpByEstSize.csv | MGRA Based synthetically generated establishments. Used for disgnostic purposes, not for simulation | CSV | | +| CVM\SummaryEstablishments.csv | Contains information about synthetically generated establishments to be used as inputs to the commercial vehicle model | CSV | | | **Heavy Truck Model ( HTM )** | -| inputs_sandag_htm_.xlsx | Contains all the required inputs ( in different sheets) for the Heavy Truck Model | Excel Workbook | | -| FAF5_BaseAndFutureYears_Oct27_2023.csv | FAF5 Data (filtered) containing FAF flows for required years | CSV | | +| HTM\inputs_sandag_htm_.xlsx | Contains all the required inputs ( in different sheets) for the Heavy Truck Model | Excel Workbook | | +| HTM\FAF5_BaseAndFutureYears_Oct27_2023.csv | FAF5 Data (filtered) containing FAF flows for required years | CSV | | | **Other** | | | | | [parametersByYears.csv](#parametersbyyearscsv) | Parameters by scenario years. Includes AOC, aiport enplanements, cross-border tours, cross-border sentri share. | CSV | Transportation Modelers | | [filesByYears.csv](#filesbyyearscsv) | File names by scenario years. | CSV | Transportation Modelers | | trip_XX.omx | Warm start trip table; XX is the TOD (EA, AM, MD, PM, and EV) | OMX | Transportation Modelers | -| zone.term | TAZ terminal times | Space Delimited Text File | Transportation Modelers | +| zone_term.csv | TAZ terminal times | Space Delimited Text File | Transportation Modelers | +| all_vol_dfs.csv [to be updated] | | | | +| all_wait_times.csv [to be updated] | | | | +| specialEvents_() [to be updated] | | | | + -```MGRA_BASED_INPUT<>.CSV``` +## Land Use +### MGRA_BASED_INPUT_SCENARIO_YEAR.CSV + | Column name | Description | | --- | --- | @@ -197,93 +171,8 @@ The table below contains brief descriptions of the input files required to execu | dudenbin | Dwelling unit density bin | | PopEmpDenPerMi | Population and employment density per mile | - - -### Activity Mapping to Industry Codes -#### `ACTIVITY_CODE_INDCEN_ACS.CSV` - -| Column Name | Description | -| ----------- | ----------- | -| indcen | Industry code defined in PECAS: They are about 270 industry categories grouped by 6-digit NAICS code (North American Industrial Classification System) | -| activity_code | Activity code defined in PECAS. They are about 30 types of activities grouped by the industry categories:
1 = Agriculture
3 = Construction Non-Building office support (including mining)
5 = Utilities office support
9 = Manufacturing office support
10 = Wholesale and Warehousing
11 = Transportation Activity
12 = Retail Activity
13 = Professional and Business Services
14 = Professional and Business Services (Building Maintenance)
16 = Private Education Post-Secondary (Post K-12) and Other
17 = Health Services
18 = Personal Services Office Based
19 = Amusement Services
20 = Hotels and Motels
21 = Restaurants and Bars
22 = Personal Services Retail Based
23 = Religious Activity
24 = Private Households
25 = State and Local Government Enterprises Activity
27 = Federal Non-Military Activity
28 = Federal Military Activity
30 = State and Local Government Non-Education Activity office support
31 = Public Education | - - - - -### PECAS SOC - Defined Occupational Codes -#### `PECAS_OCC_OCCSOC_ACS.CSV` - - - - - - - - - - - - - - -
Column NameDescription
occsoc5Detailed occupation codes defined by the Standard Occupational Classification (SOC) system
commodity_id - Commodity code defined in PECAS. The detailed SOC occupations are grouped into 6 types of laborers, which are included as part of commodity:
- 51 = Services Labor
- 52 = Work at Home Labor
- 53 = Sales and Office Labor
- 54 = Natural Resources Construction and Maintenance Labor
- 55 = Production Transportation and Material Moving Labor
- 56 = Military Labor -
- - - -### Listing of External Zones Attributes -#### `EXTERNALZONES.XLS` - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Column NameDescription
Internal Cordon LUZInternal Cordon Land use zone
External LUZExternal land use zone
Cordon PointCordon Point description
Destination ApproximationName of approximate city destination
Miles to be Added to Cordon PointMiles to be added to cordon point
Travel TimeTravel time to external zone
Border DelayBorder delay time
Minutes to be Added to Cordon PointMinutes to be added to cordon point
MPHAverage miles per hour based on miles and minutes to be added to cordon point
+## Synthetic Population ### Population Synthesizer Household Data @@ -338,6 +227,7 @@ The table below contains brief descriptions of the input files required to execu | soc2 | 2 digit Standard Occupational Classification | +## Network ### Highway Network Vehicle Class Toll Factors File @@ -353,8 +243,6 @@ Example: | SR-125 | 2016 | ALL | 1.0 | 1.0 | 1.0 | 1.0 | 1.03 | 2.33 | | I-5 | 2035 | ALL | 1.0 | 1.0 | 0.0 | 1.0 | 1.03 | 2.33 | -The toll values for each class on each link are calculated by multiplying the input toll value from hwycov.e00 (ITOLLA, ITOLLP, ITOLLO) by this factor, matched by the Facility name (together with the toll factors from off_peak_toll_factors.csv in converting ITOLLO to the off-peak times-of-day). - The network links are matched to a record in this file based on the NM, FXNM or TXNM values (in that order). A simple substring matching is used, so the record with Facility_name "I-15" matches any link with name "I-15 SB", "I-15 NB", "I-15/DEL LAGO DAR NB" etc. The records should not be overlapping: if there are two records which match a given link it will be an arbitrary choice as to which one is used. Note that if a link does not match to a record in this file, the default factors (specified in the table below) will be applied to said link. It is OK if there are records for which there are no link tolls. @@ -410,103 +298,8 @@ Note that if a link does not match to a record in this file, the default factors - - -### Highway Network Off-Peak Toll Factors File -#### `off_peak_toll_factors.csv` -Optional file. Used to specify different tolls in the off-peak time-of-day scenarios based on the single link ITOLLO field, together with the tolls by vehicle class from vehicle_class_toll_factors.csv. -Used by the Import network Modeller tool. - -Example: -``` -Facility_name, OP_EA_factor, OP_MD_factor, OP_EV_factor -I-15, 0.75, 1.0, 0.75 -SR-125, 1.0 , 1.0, 1.0 -SR-52, 0.8 , 1.0, 0.8 -``` - -See note re: network link matching under vehicle_class_toll_factors.csv. Note that all facilities need not be specified, links not matched will use a factor of 1.0. - - - - - - - - - - - - - - - - - - - - - - -
Column NameDescription
Facility_nameName of the facility, used in the substring matching with links by NM, FXNM or TXNM fields
OP_EA_FACTORPositive toll factor for Early AM period tolls
OP_MD_FACTORPositive toll factor for Midday period tolls
OP_EV_FACTORPositive toll factor for Evening period tolls
- - - -### Highway Network Vehicle Class Toll Factors File -#### `vehicle_class_availability.csv` - -Optional file. Specifies the availability / unavailability of six vehicle classes for five times-of-day by Facility name. This will override any mode / vehicle class availability specified directly on the network (hwycov.e00), via ITRUCK and IHOV fields. Used in the generation of time-of-day Emme scenarios in the Master run Modeller tool. - -Example: - -| Facility_name | vehicle_class | EA_Avail | AM_Avail | MD_Avail | PM_Avail | EV_Avail | -| ------------- | ------------- | -------- | -------- | -------- | -------- | -------- | -| I-15 | DA | 1 | 1 | 1 | 1 | 1 | -| I-15 | S2 | 1 | 1 | 1 | 1 | 1 | -| I-15 | S3 | 1 | 0 | 1 | 0 | 1 | -| I-15 | TRK_L | 1 | 1 | 1 | 1 | 1 | -| I-15 | TRK_M | 1 | 0 | 0 | 0 | 1 | -| I-15 | TRK_H | 1 | 0 | 0 | 0 | 1 | - -See note re: network link matching under vehicle_class_toll_factors.csv. Note that all facilities need not be specified, links not matched will use the availability as indicated by the link fields in hwycov.e00. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Column NameDescription
Facility_nameName of the facility, used in the substring matching with links by NM, FXNM or TXNM fields
Vehicle_className of the vehicle class, one of DA, S2, S3, TRK_L, TRK_M, or TRK_H
EA_AvailFor this facility and vehicle class, is available for Early AM period (0 or 1)
AM_AvailFor this facility and vehicle class, is available for AM Peak period (0 or 1)
MD_AvailFor this facility and vehicle class, is available for Midday period (0 or 1)
PM_AvailFor this facility and vehicle class, is available for PM Peak period (0 or 1)
EV_AvailFor this facility and vehicle class, is available for Evening period (0 or 1)
- -#### `special_fares.txt` +### `special_fares.txt` ``` boarding_cost: @@ -524,6 +317,35 @@ in_vehicle_cost: day_pass: 4.54 regional_pass: 10.90 ``` +### MGRAs at Mobility Hubs +#### `MOBILITYHUBMGRA.CSV` + + + + + + + + + + + + + + + + + + +
Column NameDecription
MGRAMGRA ID
MoHubNameMobility Hub name
MoHubType + Mobility Hub type:
+ Suburban
+ Coastal
+ Gateway
+ Major Employment Center
+ Urban +
+ @@ -934,23 +756,7 @@ regional_pass: 10.90 -### Zone Terminal Time -#### `ZONE.TERM` - - - - - - - - - - - - -
Column NameDescription
ZoneTAZ number
Terminal timeTerminal time (3, 4, 5, 7, 10 minutes) -
@@ -1008,101 +814,7 @@ regional_pass: 10.90 - - -### Walk MGRA Equivalent Minutes -#### `WALKMGRAEQUIVMINUTES.CSV` - - - - - - - - - - - - - - - - - - - - - - - - - - -
Column NameDescription
iOrigin (MGRA)
jDestination (MGRA)
percievedPercieved time to walk
actualActual time to walk (minutes)
gainGain in elevation
- - - -### Airport Trip Purpose Distribution -#### `AIRPORT_PURPOSE.SAN.CSV AND AIRPORT_PURPOSE.CBX.CSV` - - - - - - - - - - - - - - -
Column NameDescription
Purpose - Trip Purpose:
- 0 = Resident Business
- 1 = Resident Personal
- 2 = Visitor Business
- 3 = Visitor Personal
- 4 = External -
PercentDistribution of Trips in trip purpose
- - - -### Airport Party Size by Purpose Distribution -#### `AIRPORT_PARTY.SAN.CSV AND AIRPORT_PARTY.CBX.CSV` - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Column NameDescription
PartyParty size (0 through 5+)
purp0_percDistribution for Resident Business purpose
purp1_percDistribution for Resident Personal purpose
purp2_percDistribution for Visitor Business purpose
purp3_percDistribution for Visitor Personal purpose
purp4_percDistribution for External purpose
- +## Airport ### Airport Number of Nights by Purpose Distribution @@ -1256,8 +968,8 @@ regional_pass: 10.90 -### CVM Establishment Synthesis -#### `PERCENT_OF_ESTABLISHMENTS_BY_LUZ_SIZE_EMP_CAT.CSV` +## Commercial Vehicle Model +### `PERCENT_OF_ESTABLISHMENTS_BY_LUZ_SIZE_EMP_CAT.CSV` @@ -1279,7 +991,7 @@ regional_pass: 10.90 -#### `SYNTHESTABLISHMENTS.CSV` +### `SYNTHESTABLISHMENTS.CSV`
@@ -1319,8 +1031,10 @@ regional_pass: 10.90
-#### CVM Establishment Synthesis File ( MGRAEmpByEstSize.csv ) -##### `MGRAEmpByEstSize.csv` + + +### `MGRAEMPBYESTSIZE.CSV` +
Field @@ -1491,6 +1205,7 @@ oth; where Size_Class ranges 1-7.
+## Crossborder @@ -1893,7 +1608,8 @@ oth; where Size_Class ranges 1-7. -#### `EXTERNALEXTERNALTRIPSByYEAR.CSV` +## External Models +### `EXTERNALEXTERNALTRIPSByYEAR.CSV` @@ -1981,6 +1697,7 @@ oth; where Size_Class ranges 1-7.
+## Heavy Truck Model (HTM) ### Inputs SANDAG HTM #### `INPUTS_SANDAG_HTM_.XLSX` @@ -2391,6 +2108,7 @@ oth; where Size_Class ranges 1-7. +## Others ### Parameters by Scenario Years #### `PARAMETERSBYYEARS.CSV` @@ -2565,32 +2283,21 @@ oth; where Size_Class ranges 1-7. -### MGRAs at Mobility Hubs -#### `MOBILITYHUBMGRA.CSV` +### Zone Terminal Time +#### `ZONE_TERM.CSV` - - - - - + - - + + - - + +
Column NameDecription
MGRAMGRA IDDescription
MoHubNameMobility Hub nameZoneTAZ number
MoHubType - Mobility Hub type:
- Suburban
- Coastal
- Gateway
- Major Employment Center
- Urban - 		Terminal timeTerminal time (3, 4, 5, 7, 10 minutes)
diff --git a/docs/outputs.md b/docs/outputs.md index 2b9bc8bb8..ecdbd6078 100644 --- a/docs/outputs.md +++ b/docs/outputs.md @@ -1238,113 +1238,6 @@ There are two subdirectories containing outputs for each of the two airport mode - -### Assignment model trip tables (.\assignment) - -This directory contains trip tables from auto and transit assignments. - -#### Demand Matrices - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
File - Description -
autoairportTrips.(airport)_(period_(vot).omx - Auto trip table for airport (CBX, SAN) by period (EA, AM, MD, PM, EV) and value of time (low, medium, high) -
autocrossborderTrips_(period)_(vot).omx - Auto trip table for cross border model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high) -
autoTrips_(period)_(vot).omx - Auto trip table for resident model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high) -
autovisitorTrips_(period)_(vot).omx - Auto trip table for visitor model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high) -
cvmtrips_(period).omx - CVM trip table for model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high) -
emptyAVTrips.omx - Empty private autonomous vehicle trips -
householdAVTrips.csv - All private autonomous vehicle trips -
htmtrips_(period).omx - HTM trip table for model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high) -
TNCTrips.csv - All TNC trips -
TNCVehicleTrips_(period).omx - TNC vehicle trip table by period (EA, AM, MD, PM, EV) -
TranairportTrips.(airport)_(period).omx - Transit trip tables for airport (CBX, SAN) by period (EA, AM, MD, PM, EV) -
TrancrossborderTrips_(period).omx - Transit trip tables for cross-border model by period (EA, AM, MD, PM, EV) -
TranTrips_(period).omx - Transit trip tables for resident model by period (EA, AM, MD, PM, EV) -
TranvisitorTrips_(period).omx - Transit trip tables for visitor model by period (EA, AM, MD, PM, EV) -
TripMatrices.csv - Disaggregate commercial vehicle trips -
- - #### Airport Model auto demand matrices @@ -1457,185 +1350,7 @@ This directory contains trip tables from auto and transit assignments. - - - - - -
TNC_SET_set3_< -
where TIME PERIOD = EA, AM, MD, PM, EV -
- - -#### Airport Model non-motorized demand matrices - - - - - - - - - - - - - - - - - -
Table Name - Description -
WALK_<Walk for <
BIKE_<Bike for <
where TIME PERIOD = EA, AM, MD, PM, EV -
- - -#### Crossborder Model auto demand matrices - - - - - - - - - - - - - - - - - - - - - -
Table Name - Description -
SR2_<Shared Ride 2 for <
SR3_<Shared Ride 3 for <
SOV_<Drive Alone for <
where TIME PERIOD = EA, AM, MD, PM, EV -
- - -#### Crossborder Model transit demand matrices - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Table Name - Description -
WLK_SET_set1_< -
PNR_SET_set1_< -
KNR_SET_set1_< -
TNC_SET_set1_< -
WLK_SET_set2_< -
PNR_SET_set2_< -
KNR_SET_set2_< -
TNC_SET_set2_< -
WLK_SET_set3_< -
PNR_SET_set3_< -
KNR_SET_set3_< -
TNC_SET_set3_< -
where TIME PERIOD = EA, AM, MD, PM, EV -
- - -#### Crossborder Model non-motorized demand matrices - - - - - - - - - - - - - @@ -1645,7 +1360,7 @@ This directory contains trip tables from auto and transit assignments.
Table Name - Description -
WALK_<Walk for <
BIKE_<Bike for <
-#### Visitor Model auto demand matrices +#### Airport Model non-motorized demand matrices @@ -1655,21 +1370,15 @@ This directory contains trip tables from auto and transit assignments. - - - - - - - - @@ -1678,119 +1387,107 @@ This directory contains trip tables from auto and transit assignments.
SR2_<Shared Ride 2 for <
SR3_<WALK_<Shared Ride 3 for <Walk for <
SOV_<BIKE_<Drive Alone for <Bike for <
+### Assignment model trip tables (.\assignment) -#### Visitor Model transit demand matrices +This directory contains trip tables from auto and transit assignments. + +#### Demand Matrices - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Table Name + File Description + Description
WLK_SET_set1_<autoairportTrips.(airport)_(period_(vot).omx + Auto trip table for airport (CBX, SAN) by period (EA, AM, MD, PM, EV) and value of time (low, medium, high)
PNR_SET_set1_<autocrossborderTrips_(period)_(vot).omx + Auto trip table for cross border model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high)
KNR_SET_set1_<autoTrips_(period)_(vot).omx + Auto trip table for resident model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high)
TNC_SET_set1_<autovisitorTrips_(period)_(vot).omx + Auto trip table for visitor model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high)
WLK_SET_set2_<cvmtrips_(period).omx + CVM trip table for model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high)
PNR_SET_set2_<emptyAVTrips.omx + Empty private autonomous vehicle trips
KNR_SET_set2_<householdAVTrips.csv + All private autonomous vehicle trips
TNC_SET_set2_<htmtrips_(period).omx + HTM trip table for model by period (EA, AM, MD, PM, EV) and value of time (low, medium, high)
WLK_SET_set3_<TNCTrips.csv + All TNC trips
PNR_SET_set3_<TNCVehicleTrips_(period).omx + TNC vehicle trip table by period (EA, AM, MD, PM, EV)
KNR_SET_set3_<TranairportTrips.(airport)_(period).omx + Transit trip tables for airport (CBX, SAN) by period (EA, AM, MD, PM, EV)
TNC_SET_set3_< + TrancrossborderTrips_(period).omx
where TIME PERIOD = EA, AM, MD, PM, EV + Transit trip tables for cross-border model by period (EA, AM, MD, PM, EV)
- - - -#### Visitor Model non-motorized demand matrices - - - - - - - - - - -
Table Name + TranTrips_(period).omx Description + Transit trip tables for resident model by period (EA, AM, MD, PM, EV)
WALK_<TranvisitorTrips_(period).omx Walk for <Transit trip tables for visitor model by period (EA, AM, MD, PM, EV)
BIKE_<Bike for <TripMatrices.csv
where TIME PERIOD = EA, AM, MD, PM, EV + Disaggregate commercial vehicle trips
@@ -3219,158 +2916,308 @@ This directory contains outputs from the Crossborder model, which represents all - origin_micro_prm_dist + origin_micro_prm_dist + + Distance from trip origin MGRA to closest premium transit stop by microtransit + + + + dest_micro_prm_dist + + Distance from trip destination MGRA to closest premium transit stop by microtransit + + + + microtransit_orig + + Distance from trip origin MGRA to closest local transit stop by microtransit + + + + microtransit_dest + + Distance from trip destination MGRA to closest local transit stop by microtransit + + + + microtransit_available + + TRUE if microtransit is available for trip, else FALSE + + + + nev_orig + + True if Neighborhood Electric Vehicle is available at origin + + + + nev_dest + + True if Neighborhood Electric Vehicle is available at destination + + + + nev_available + + TRUE if Neighborhood Electric Vehicle is available, else FALSE + + + + microtransit_access_available_out + + TRUE if microtransit is available from the origin, else FALSE + + + + nev_access_available_out + + TRUE if neighborhood electric vehicle is available from the origin, else FALSE + + + + microtransit_egress_available_out + + Availability of microtransit egress in the outbound direction + + + + nev_egress_available_out + + Availability of NEV egress in the outbound direction + + + + microtransit_access_available_in + + Availability of microtransit access in the inbound direction + + + + nev_access_available_in + + Availability of NEV egress in the inbound direction + + + + microtransit_egress_available_in + + Availability of microtransit egress in the inbound direction + + + + nev_egress_available_in + + Availability of microtransit egress in the outbound direction + + + + sample_rate + + Sample rate + + + + otaz + + Origin TAZ + + + + dtaz + + Destination TAZ + + + + + + +#### Crossborder Model Tour Mode Definitions + + + + + + + + + + + + + + + + + + + + + + +
Field + Description +
DRIVEALONE + Drive alone +
SHARED2 + Shared ride with 2 participants +
SHARED3 + Shared ride with 3+ participants +
WALK + Walk +
+ +#### Crossborder Model auto demand matrices + + + + - - - - - - - - - +
Table Name Distance from trip origin MGRA to closest premium transit stop by microtransit + Description
dest_micro_prm_dist + SR2_<Distance from trip destination MGRA to closest premium transit stop by microtransit + Shared Ride 2 for <
microtransit_orig + SR3_<Distance from trip origin MGRA to closest local transit stop by microtransit + Shared Ride 3 for <
microtransit_dest + SOV_<Distance from trip destination MGRA to closest local transit stop by microtransit + Drive Alone for <
microtransit_available - TRUE if microtransit is available for trip, else FALSE + where TIME PERIOD = EA, AM, MD, PM, EV
+ + +#### Crossborder Model transit demand matrices + + - - - - - - - - - - - - - - - - - - - - - - - - - - - -
nev_orig + Table Name True if Neighborhood Electric Vehicle is available at origin + Description
nev_dest + WLK_SET_set1_<True if Neighborhood Electric Vehicle is available at destination +
nev_available + PNR_SET_set1_<TRUE if Neighborhood Electric Vehicle is available, else FALSE +
microtransit_access_available_out + KNR_SET_set1_<TRUE if microtransit is available from the origin, else FALSE +
nev_access_available_out + TNC_SET_set1_<TRUE if neighborhood electric vehicle is available from the origin, else FALSE +
microtransit_egress_available_out + WLK_SET_set2_<Availability of microtransit egress in the outbound direction +
nev_egress_available_out + PNR_SET_set2_<Availability of NEV egress in the outbound direction +
microtransit_access_available_in + KNR_SET_set2_<Availability of microtransit access in the inbound direction +
nev_access_available_in + TNC_SET_set2_<Availability of NEV egress in the inbound direction +
microtransit_egress_available_in + WLK_SET_set3_<Availability of microtransit egress in the inbound direction +
nev_egress_available_in + PNR_SET_set3_<Availability of microtransit egress in the outbound direction +
sample_rate + KNR_SET_set3_<Sample rate +
otaz + TNC_SET_set3_<Origin TAZ +
dtaz - Destination TAZ + where TIME PERIOD = EA, AM, MD, PM, EV
- -#### Crossborder Model Tour Mode Definitions +#### Crossborder Model non-motorized demand matrices - - - - - - - - - - -
Field + Table Name Description
DRIVEALONE - Drive alone -
SHARED2 + WALK_<Shared ride with 2 participants + Walk for <
SHARED3 + BIKE_<Shared ride with 3+ participants + Bike for <
WALK - Walk + where TIME PERIOD = EA, AM, MD, PM, EV
+ ### CVM Establishment Synthesis (.\cvm_establishment_synthesis) @@ -7969,6 +7816,155 @@ This directory contains outputs from the overnight visitor model. +#### Visitor Model auto demand matrices + + + + + + + + + + + + + + + + + + + + + +
Table Name + Description +
SR2_<Shared Ride 2 for <
SR3_<Shared Ride 3 for <
SOV_<Drive Alone for <
where TIME PERIOD = EA, AM, MD, PM, EV +
+ + +#### Visitor Model transit demand matrices + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Table Name + Description +
WLK_SET_set1_< +
PNR_SET_set1_< +
KNR_SET_set1_< +
TNC_SET_set1_< +
WLK_SET_set2_< +
PNR_SET_set2_< +
KNR_SET_set2_< +
TNC_SET_set2_< +
WLK_SET_set3_< +
PNR_SET_set3_< +
KNR_SET_set3_< +
TNC_SET_set3_< +
where TIME PERIOD = EA, AM, MD, PM, EV +
+ + + +#### Visitor Model non-motorized demand matrices + + + + + + + + + + + + + + + + + +
Table Name + Description +
WALK_<Walk for <
BIKE_<Bike for <
where TIME PERIOD = EA, AM, MD, PM, EV +
### Trip Mode Definitions From 997684d337365b862a43690b605bf94ba42591f6 Mon Sep 17 00:00:00 2001 From: Mansi Sharma Date: Fri, 3 Jan 2025 09:28:58 -0800 Subject: [PATCH 2/4] parking_type update --- docs/inputs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/inputs.md b/docs/inputs.md index 19ec5b0bd..1c9f65646 100644 --- a/docs/inputs.md +++ b/docs/inputs.md @@ -152,7 +152,7 @@ The table below contains brief descriptions of the input files required to execu | exp_hourly | Expected hourly prking cost | | exp_daily | Expected daily prking cost | | exp_monthly | Expected monthly prking cost | -| parking_type | MGRA parking type | +| parking_type | 1: parking constrained area: has cluster_id and district_id
2: buffer around parking constrained area which is used to include free spaces to average into parking cost calculation: has district_id but no cluster_id
3: no parking cost: Has neither cluster_id nor district_id | | parking_spaces | MGRA estimated parking spaces | | ech_dist | Elementary school district | | hch_dist | High school district | From 75fc18c726d318d6928d7e56b2b72193937cfea6 Mon Sep 17 00:00:00 2001 From: Mansi Sharma Date: Tue, 7 Jan 2025 09:34:57 -0800 Subject: [PATCH 3/4] Output page update --- docs/outputs.md | 217 ++++++++++++++---------------------------------- 1 file changed, 62 insertions(+), 155 deletions(-) diff --git a/docs/outputs.md b/docs/outputs.md index ecdbd6078..728e7861e 100644 --- a/docs/outputs.md +++ b/docs/outputs.md @@ -2,7 +2,7 @@ Model outputs are stored in the .\outputs directory. The contents of the directory are listed in the table below. -### Output Directory (.\output) +## Output Directory (.\output) @@ -42,12 +42,6 @@ Model outputs are stored in the .\outputs directory. The contents of the directo - - - - @@ -127,7 +121,7 @@ Model outputs are stored in the .\outputs directory. The contents of the directo -### Skims (.\skims) +## Skims (.\skims) This directory contains auto, transit, and non-motorized level-of-service matrices, also known as skims. Each file is a collection of origin destination tables of times and costs, at the TAZ level. @@ -204,7 +198,7 @@ This directory contains auto, transit, and non-motorized level-of-service matric -#### Auto skims by period +### Auto skims by period ```TRAFFIC_SKIMS_
Commercial Vehicle Model outputs
parking (directory) - Parking model outputs -
resident (directory)
@@ -661,7 +655,7 @@ There are two subdirectories containing outputs for each of the two airport mode -#### Airport Model person file (final_(airport)persons.csv) +### Airport Model person file (final_(airport)persons.csv)
@@ -686,7 +680,7 @@ There are two subdirectories containing outputs for each of the two airport mode
-#### Airport Model tour file (final_(airport)tours.csv) +### Airport Model tour file (final_(airport)tours.csv) @@ -831,7 +825,7 @@ There are two subdirectories containing outputs for each of the two airport mode
-#### Airport Model trip file (final_(airport)trips.csv) +### Airport Model trip file (final_(airport)trips.csv) @@ -1155,7 +1149,7 @@ There are two subdirectories containing outputs for each of the two airport mode
-#### Arrival Mode Table for Airport Models +### Arrival Mode Table for Airport Models @@ -1238,7 +1232,7 @@ There are two subdirectories containing outputs for each of the two airport mode
-#### Airport Model auto demand matrices +### Airport Model auto demand matrices @@ -1272,7 +1266,7 @@ There are two subdirectories containing outputs for each of the two airport mode
-#### Airport Model transit demand matrices +### Airport Model transit demand matrices @@ -1360,7 +1354,7 @@ There are two subdirectories containing outputs for each of the two airport mode
-#### Airport Model non-motorized demand matrices +### Airport Model non-motorized demand matrices @@ -1387,11 +1381,11 @@ There are two subdirectories containing outputs for each of the two airport mode
-### Assignment model trip tables (.\assignment) +## Assignment model trip tables (.\assignment) This directory contains trip tables from auto and transit assignments. -#### Demand Matrices +### Demand Matrices @@ -1494,7 +1488,7 @@ This directory contains trip tables from auto and transit assignments. -#### TNC Vehicle trip demand table +### TNC Vehicle trip demand table
@@ -1696,7 +1690,7 @@ This directory contains trip tables from auto and transit assignments.
-#### Household autonomous vehicle trip data +### Household autonomous vehicle trip data @@ -2224,7 +2218,7 @@ This directory contains trip tables from auto and transit assignments.
-#### TNC vehicle trip matrix +### TNC vehicle trip matrix @@ -2261,7 +2255,7 @@ This directory contains trip tables from auto and transit assignments. -#### Empty Autonomous vehicle trips data +### Empty Autonomous vehicle trips data
@@ -2303,7 +2297,7 @@ This directory contains trip tables from auto and transit assignments.
-### Crossborder model outputs (.\crossborder) +## Crossborder model outputs (.\crossborder) This directory contains outputs from the Crossborder model, which represents all travel made by Mexico residents in San Diego County. @@ -2384,7 +2378,7 @@ This directory contains outputs from the Crossborder model, which represents all -#### Crossborder Model household file (final_households.csv) +### Crossborder Model household file (final_households.csv) @@ -2432,7 +2426,7 @@ This directory contains outputs from the Crossborder model, which represents all
-#### Crossborder Model person file (final_persons.csv) +### Crossborder Model person file (final_persons.csv) @@ -2480,7 +2474,7 @@ This directory contains outputs from the Crossborder model, which represents all
-#### Crossborder Model tour file (final_tours.csv) +### Crossborder Model tour file (final_tours.csv) @@ -2606,7 +2600,7 @@ This directory contains outputs from the Crossborder model, which represents all
-#### Crossborder Model trip file (final_trips.csv) +### Crossborder Model trip file (final_trips.csv) @@ -3033,7 +3027,7 @@ This directory contains outputs from the Crossborder model, which represents all -#### Crossborder Model Tour Mode Definitions +### Crossborder Model Tour Mode Definitions
@@ -3068,7 +3062,7 @@ This directory contains outputs from the Crossborder model, which represents all
-#### Crossborder Model auto demand matrices +### Crossborder Model auto demand matrices @@ -3102,7 +3096,7 @@ This directory contains outputs from the Crossborder model, which represents all
-#### Crossborder Model transit demand matrices +### Crossborder Model transit demand matrices @@ -3190,7 +3184,7 @@ This directory contains outputs from the Crossborder model, which represents all
-#### Crossborder Model non-motorized demand matrices +### Crossborder Model non-motorized demand matrices @@ -3218,39 +3212,8 @@ This directory contains outputs from the Crossborder model, which represents all
-### CVM Establishment Synthesis (.\cvm_establishment_synthesis) - - - - - - - - - - - - - - - - - - - - - -
File - Description -
MGRAEmpByEstSize.csv - MGRA based synthetically generated establishments. Used for diagnostic purposes, not for simulation -
SummarySynthEstabs.csv - Total count summary by size class and industry sector -
SynthEstablishments.csv - Contains information about synthetically generated establishments to be used as inputs to the commercial vehicle model -
-### Commercial Vehicle Model (.\cvm) +## Commercial Vehicle Model (.\cvm) This directory contains San Diego commercial travel model outputs. @@ -3322,7 +3285,7 @@ This directory contains San Diego commercial travel model outputs. -#### Commerical Vehicle Model Trip File ( final_commercial_accessibility.csv ) +### Commerical Vehicle Model Trip File ( final_commercial_accessibility.csv ) @@ -3402,7 +3365,7 @@ This directory contains San Diego commercial travel model outputs.
-#### Commerical Vehicle Model Trip File ( final_cv_trips.csv ) +### Commerical Vehicle Model Trip File ( final_cv_trips.csv ) @@ -3521,7 +3484,7 @@ This directory contains San Diego commercial travel model outputs.
-#### Commerical Vehicle Model Trip File ( final_establishments.csv ) +### Commerical Vehicle Model Trip File ( final_establishments.csv ) @@ -3613,7 +3576,7 @@ This directory contains San Diego commercial travel model outputs.
-#### Commerical Vehicle Model Trip File ( final_establishments_all.csv ) +### Commerical Vehicle Model Trip File ( final_establishments_all.csv ) @@ -3719,7 +3682,7 @@ This directory contains San Diego commercial travel model outputs.
-#### Commerical Vehicle Model Trip File ( final_households.csv ) +### Commerical Vehicle Model Trip File ( final_households.csv ) @@ -3817,7 +3780,7 @@ This directory contains San Diego commercial travel model outputs.
-#### Commerical Vehicle Model Trip File ( final_land_use.csv ) +### Commerical Vehicle Model Trip File ( final_land_use.csv ) @@ -4456,7 +4419,7 @@ This directory contains San Diego commercial travel model outputs.
-#### Commerical Vehicle Model Trip File ( final_routes.csv ) +### Commerical Vehicle Model Trip File ( final_routes.csv ) @@ -4580,7 +4543,7 @@ This directory contains San Diego commercial travel model outputs.
-#### Commerical Vehicle Model Trip File ( final_trips.csv ) +### Commerical Vehicle Model Trip File ( final_trips.csv ) @@ -4722,64 +4685,8 @@ This directory contains San Diego commercial travel model outputs.
-### Parking cost calculations (.\parking) - -This directory contains intermediate files and final expected parking costs calculated from input parking supply data and walk distances between MGRAs. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
File - Description -
aggregated_street_data.csv - Street length and intersections aggregated to MGRA level, used to estimate free on-street parking spaces -
cache (directory) - Directory containing intermediate calculations for expected parking costs -
distances.csv - MGRA-MGRA distances used for expected parking cost calculations -
districts.csv - Calculated parking districts at MGRA level used for expected parking cost calculations -
final_parking_data.csv - Expected hourly, daily, and monthly parking costs, total spaces, and parking district at the MGRA level for use in travel models -
plots - Directory containing plots of the parking model results -
shapefiles - Directory containing shapefiles for parking model calculations -
- -### Resident model outputs (.\resident) +## Resident model outputs (.\resident) This directory contains San Diego resident travel model outputs. @@ -4920,7 +4827,7 @@ This directory contains San Diego resident travel model outputs. -#### Resident Model household file (final_households.csv) +### Resident Model household file (final_households.csv) @@ -5251,7 +5158,7 @@ This directory contains San Diego resident travel model outputs.
-Resident Model person file (final_persons.csv) +### Resident Model person file (final_persons.csv) @@ -5686,7 +5593,7 @@ Resident Model person file (final_persons.csv)
-Resident Model vehicle file (final_vehicles.csv) +### Resident Model vehicle file (final_vehicles.csv) @@ -5766,7 +5673,7 @@ Resident Model vehicle file (final_vehicles.csv) -#### Resident Model joint tour participants file (final_joint_tour_participants.csv) +### Resident Model joint tour participants file (final_joint_tour_participants.csv)
@@ -5810,7 +5717,7 @@ Resident Model vehicle file (final_vehicles.csv) -#### Resident Model tour file (final_tours.csv) +### Resident Model tour file (final_tours.csv)
@@ -6022,7 +5929,7 @@ Resident Model vehicle file (final_vehicles.csv) -#### Resident Model trip file (final_trips.csv) +### Resident Model trip file (final_trips.csv)
@@ -6522,7 +6429,7 @@ Resident Model vehicle file (final_vehicles.csv) -#### Resident Model tour mode definitions +### Resident Model tour mode definitions
@@ -6674,7 +6581,7 @@ Resident Model vehicle file (final_vehicles.csv) -#### Resident Model auto demand matrices +### Resident Model auto demand matrices
@@ -6724,7 +6631,7 @@ Resident Model vehicle file (final_vehicles.csv) -#### Resident Model transit demand matrices +### Resident Model transit demand matrices
@@ -6848,7 +6755,7 @@ Resident Model vehicle file (final_vehicles.csv) -#### Resident Model non-motorized demand matrices +### Resident Model non-motorized demand matrices
@@ -6872,7 +6779,7 @@ Resident Model vehicle file (final_vehicles.csv)
-### Heavy Truck Model (.\htm) +## Heavy Truck Model (.\htm) This directory contains San Diego heavy truck model outputs. @@ -6905,7 +6812,7 @@ This directory contains San Diego heavy truck model outputs. -#### Heavy Truck Model Trip File ( htmsummary_files.xlsx ) +### Heavy Truck Model Trip File ( htmsummary_files.xlsx ) @@ -6934,7 +6841,7 @@ This directory contains San Diego heavy truck model outputs.
-#### Heavy Truck Model Trip File ( final_trips.csv ) +### Heavy Truck Model Trip File ( final_trips.csv ) @@ -6995,7 +6902,7 @@ This directory contains San Diego heavy truck model outputs.
-### Visitor model outputs (.\visitor) +## Visitor model outputs (.\visitor) This directory contains outputs from the overnight visitor model. @@ -7064,7 +6971,7 @@ This directory contains outputs from the overnight visitor model. -#### Visitor Model household file (final_households.csv) +### Visitor Model household file (final_households.csv) @@ -7102,7 +7009,7 @@ This directory contains outputs from the overnight visitor model. -#### Visitor Model person file (final_persons.csv) +### Visitor Model person file (final_persons.csv)
@@ -7134,7 +7041,7 @@ This directory contains outputs from the overnight visitor model. -#### Visitor Model tour file (final_tours.csv) +### Visitor Model tour file (final_tours.csv)
@@ -7280,7 +7187,7 @@ This directory contains outputs from the overnight visitor model. -#### Visitor Model trip file ((final_trips.csv) +### Visitor Model trip file (final_trips.csv)
@@ -7738,7 +7645,7 @@ This directory contains outputs from the overnight visitor model. -#### Visitor model’s tour mode choice definitions +### Visitor model’s tour mode choice definitions
@@ -7816,7 +7723,7 @@ This directory contains outputs from the overnight visitor model.
-#### Visitor Model auto demand matrices +### Visitor Model auto demand matrices @@ -7850,7 +7757,7 @@ This directory contains outputs from the overnight visitor model.
-#### Visitor Model transit demand matrices +### Visitor Model transit demand matrices @@ -7939,7 +7846,7 @@ This directory contains outputs from the overnight visitor model. -#### Visitor Model non-motorized demand matrices +### Visitor Model non-motorized demand matrices
@@ -7967,7 +7874,7 @@ This directory contains outputs from the overnight visitor model.
-### Trip Mode Definitions +#### Trip Mode Definitions From 245da25e4f4974af6d9b9e2d406b76a2031437c0 Mon Sep 17 00:00:00 2001 From: Mansi Sharma Date: Tue, 7 Jan 2025 09:56:37 -0800 Subject: [PATCH 4/4] Input changes based on comments --- docs/inputs.md | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/docs/inputs.md b/docs/inputs.md index 1c9f65646..963b39aa0 100644 --- a/docs/inputs.md +++ b/docs/inputs.md @@ -991,7 +991,7 @@ regional_pass: 10.90 -### `SYNTHESTABLISHMENTS.CSV` +### `CVM/SYNTHESTABLISHMENTS.CSV`
@@ -1033,7 +1033,7 @@ regional_pass: 10.90 -### `MGRAEMPBYESTSIZE.CSV` +### `CVM/MGRAEMPBYESTSIZE.CSV`
@@ -1698,8 +1698,7 @@ oth; where Size_Class ranges 1-7.
## Heavy Truck Model (HTM) -### Inputs SANDAG HTM -#### `INPUTS_SANDAG_HTM_.XLSX` +#### `HTM/INPUTS_SANDAG_HTM_.XLSX` @@ -1781,8 +1780,7 @@ oth; where Size_Class ranges 1-7.
-### FAF5_BaseAndFutureYears_Oct27_2023 (Possible values for : 2017, 2025,2030,2035,2040,2045,2050) -#### `FAF5_BaseAndFutureYears_Oct27_2023.CSV` +#### `HTM/FAF5_BaseAndFutureYears_Oct27_2023.CSV`