initial commit of ABM3 configs and CI infrastructure

.github/workflow/ci.yml

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+name: Implementation Testing
+
+on:
+  push:
+    branches:
+      - '*'
+  pull_request:
+    branches:
+      - '*'
+
+env:
+  CACHE_NUMBER: 0  # increase to reset cache manually
+
+jobs:
+  foundation:
+
+    strategy:
+      matrix:
+        python-version: ["3.10"]
+    defaults:
+      run:
+        shell: bash -l {0}
+    name: linux-64-py${{ matrix.python-version }}
+    runs-on: ubuntu-latest
+    steps:
+      # checkout the code in this repository
+      - uses: actions/checkout@v4
+        with:
+          path: 'activitysim-sandag-abm3'
+
+      # checkout the main branch of ActivitySim itself
+      - uses: actions/checkout@v4
+        with:
+          repository: 'ActivitySim/activitysim'
+          ref: main
+          path: 'activitysim'
+          fetch-depth: 0  # get all tags, lets setuptools_scm do its thing
+
+      - name: Setup Mambaforge
+        uses: conda-incubator/setup-miniconda@v3
+        with:
+            miniforge-variant: Mambaforge
+            miniforge-version: latest
+            activate-environment: asim-test
+            use-mamba: true
+            python-version: ${{ matrix.python-version }}
+
+      - name: Set cache date for year and month
+        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
+
+      - uses: actions/cache@v4
+        with:
+          path: /usr/share/miniconda3/envs/asim-test
+          key: linux-64-conda-${{ hashFiles('activitysim/conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
+        id: cache
+
+      - name: Update environment
+        run: |
+          mamba env update -n asim-test -f activitysim/conda-environments/github-actions-tests.yml
+          mamba install --yes \
+          	"psutil=5.9.5" \
+          	"pydantic=2.6.1" \
+          	"pypyr=5.8.0" \
+          	"pytables=3.6.1" \
+          	"pytest-cov" \
+          	"pytest-regressions=2.5.0" \
+          	"scikit-learn=1.2.2" \
+          	"sharrow>=2.6.0" \
+          	"simwrapper=1.8.5" \
+          	"xarray=2023.2.0" \
+          	"zarr=2.14.2" \
+          	"zstandard=0.21.0"
+        if: steps.cache.outputs.cache-hit != 'true'
+
+      - name: Install activitysim
+        # installing without dependencies is faster, we trust that all needed dependencies
+        # are in the conda environment defined above.  Also, this avoids pip getting
+        # confused and reinstalling tables (pytables).
+        run: |
+          python -m pip install -e ./activitysim --no-deps
+      - name: Conda checkup
+        run: |
+          mamba info -a
+          mamba list
+      - name: Test this implementation
+        run: |
+          python -m pytest sandag-abm3-example/test

.gitignore

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+output/*

README.md

@@ -1 +1,3 @@
-# sandag-abm3-example
+# sandag-abm3-example
+
+SANDAG ABM3 Example -- Currently in development...

configs/common/constants.yaml

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+## ActivitySim
+## See full license in LICENSE.txt.
+
+scenarioYear: 2022
+# set below to 1 for everything to be internal, 0 otherwise
+NO_EXTERNAL: 0
+
+# set below to be 1 for years before 2021, 0 otherwise
+PRE_COVID: 0
+
+walk_speed: 3 #mph
+
+#HHT_NONE: 0
+#HHT_FAMILY_MARRIED: 1
+#HHT_FAMILY_MALE: 2
+#HHT_FAMILY_FEMALE: 3
+#HHT_NONFAMILY_MALE_ALONE: 4
+#HHT_NONFAMILY_MALE_NOTALONE: 5
+#HHT_NONFAMILY_FEMALE_ALONE: 6
+#HHT_NONFAMILY_FEMALE_NOTALONE: 7
+
+# convenience for expression files
+HHT_NONFAMILY: [4, 5, 6, 7]
+HHT_FAMILY: [1, 2, 3]
+
+PSTUDENT_GRADE_OR_HIGH: 1
+PSTUDENT_UNIVERSITY: 2
+PSTUDENT_NOT: 3
+
+GRADE_SCHOOL_MAX_AGE: 14
+GRADE_SCHOOL_MIN_AGE: 5
+
+SCHOOL_SEGMENT_NONE: 0
+SCHOOL_SEGMENT_PREK: 1
+SCHOOL_SEGMENT_GRADE: 2
+SCHOOL_SEGMENT_HIGH: 3
+SCHOOL_SEGMENT_UNIV: 4
+
+
+INCOME_SEGMENT_LOW: 1
+INCOME_SEGMENT_MED: 2
+INCOME_SEGMENT_HIGH: 3
+INCOME_SEGMENT_VERYHIGH: 4
+
+PEMPLOY_FULL: 1
+PEMPLOY_PART: 2
+PEMPLOY_NOT: 3
+PEMPLOY_CHILD: 4
+
+PTYPE_FULL: 1
+PTYPE_PART: 2
+PTYPE_UNIVERSITY: 3
+PTYPE_NONWORK: 4
+PTYPE_RETIRED: 5
+PTYPE_DRIVING: 6
+PTYPE_SCHOOL: 7
+PTYPE_PRESCHOOL: 8
+
+PTYPE_NAME:
+  PTYPE_FULL: 1
+  PTYPE_PART: 2
+  PTYPE_UNIVERSITY: 3
+  PTYPE_NONWORK: 4
+  PTYPE_RETIRED: 5
+  PTYPE_DRIVING: 6
+  PTYPE_SCHOOL: 7
+  PTYPE_PRESCHOOL: 8
+PTYPE_VALUE:
+  1: PTYPE_FULL
+  2: PTYPE_PART
+  3: PTYPE_UNIVERSITY
+  4: PTYPE_NONWORK
+  5: PTYPE_RETIRED
+  6: PTYPE_DRIVING
+  7: PTYPE_SCHOOL
+  8: PTYPE_PRESCHOOL
+
+
+CDAP_ACTIVITY_MANDATORY: M
+CDAP_ACTIVITY_NONMANDATORY: N
+CDAP_ACTIVITY_HOME: H
+
+# Defines cuts on psedomsa in landuse file.  Replacement for area_type
+cbd_threshold: 2
+urban_threshold: 5
+rural_threshold: 5
+
+distributed_time_factor_work_mean: 1.0
+distributed_time_factor_work_stddev: 0.7
+distributed_time_factor_nonwork_mean: 1.0
+distributed_time_factor_nonwork_stddev: 0.6
+distributed_time_factor_min: 0.1
+distributed_time_factor_max: 10
+
+c_drive: 1.5
+
+useAV: 0
+autoIVTFactorAV: 0.75
+autoParkingCostFactorAV: 0.5
+autoCostPerMileFactorAV: 0.7
+autoTerminalTimeFactorAV: 0.65
+minAgeDriveAloneAV: 13
+
+
+#valueOfTime: 8.00
+costPerMile: 18.29
+costShareSr2: 1.75
+costShareSr3: 2.50
+waitThresh: 10.00
+walkThresh: 1.50
+shortWalk: 0.333
+longWalk: 0.667
+walkSpeed: 3.00
+bikeThresh: 6.00
+bikeSpeed: 7.80
+ebikeSpeed: 10.00
+escooterSpeed: 6.70
+driveSpeed: 25.00
+maxCbdAreaTypeThresh: 2
+indivTour: 1.00000
+
+#### [NICK] WHAT ARE THESE? DO WE EVEN NEED THESE?
+upperEA: 5
+upperAM: 10
+upperMD: 15
+upperPM: 19
+
+# SHOULD IT BE THIS?
+# upperEA: 6
+# upperAM: 12
+# upperMD: 25
+# upperPM: 32
+
+### Crosswalk between SOC codes and SANDAG occupation classification
+soc_occupation_xwalk:
+  11: mngt_busi_scic_arts # 11 - Management Occupations
+  13: mngt_busi_scic_arts # 13 - Business and Financial Operations Occupations
+  15: mngt_busi_scic_arts # 15 - Computer and Mathematical Occupations
+  17: mngt_busi_scic_arts # 17 - Architecture and Engineering Occupations
+  19: mngt_busi_scic_arts # 19 - Life, Physical, and Social Science Occupations
+  21: mngt_busi_scic_arts # 21 - Community and Social Service Occupations
+  23: mngt_busi_scic_arts # 23 - Legal Occupations
+  25: services  # 25 - Educational Instruction and Library Occupations
+  27: mngt_busi_scic_arts # 27 - Arts, Design, Entertainment, Sports, and Media Occupations
+  29: health  # 29 - Healthcare Practitioners and Technical Occupations
+  31: health # 31 - Healthcare Support Occupations
+  33: services  # 33 - Protective Service Occupations
+  35: services # 35 - Food Preparation and Serving Related Occupations
+  37: services # 37 - Building and Grounds Cleaning and Maintenance Occupations
+  39: services # 39 - Personal Care and Service Occupations
+  41: sales_office  # 41 - Sales and Related Occupations
+  43: sales_office # 43 - Office and Administrative Support Occupations
+  45: constr_maint  # 45 - Farming, Fishing, and Forestry Occupations
+  47: constr_maint # 47 - Construction and Extraction Occupations
+  49: constr_maint # 49 - Installation, Maintenance, and Repair Occupations
+  51: prod_trans_move  # 51 - Production Occupations
+  53: prod_trans_move # 53 - Transportation and Material Moving Occupations
+  55: military  # 55 - Military Specific Occupations
+  99:  # 99 -  Non-workers, Code not part of SOC system
+
+# RIDEHAIL Settings
+Taxi_baseFare: 2.20
+Taxi_costPerMile: 2.30
+Taxi_costPerMinute: 0.10
+Taxi_waitTime_mean:
+  1: 5.5
+  2: 9.5
+  3: 13.3
+  4: 17.3
+  5: 26.5
+#### [NICK] Updated all SD numbers from sandag_abm.properties. Were all 0 before
+Taxi_waitTime_sd:
+  1: 6.4
+  2: 6.4
+  3: 6.4
+  4: 6.4
+  5: 6.4
+TNC_single_baseFare: 2.20
+TNC_single_costPerMile: 1.33
+TNC_single_costPerMinute: 0.24
+TNC_single_costMinimum: 7.20
+TNC_single_waitTime_mean:
+  1: 3.0
+  2: 6.3
+  3: 8.4
+  4: 8.5
+  5: 10.3
+TNC_single_waitTime_sd:
+  1: 4.1
+  2: 4.1
+  3: 4.1
+  4: 4.1
+  5: 4.1
+TNC_shared_baseFare: 2.20
+TNC_shared_costPerMile: 0.53
+TNC_shared_costPerMinute: 0.10
+TNC_shared_costMinimum: 3.00
+TNC_shared_IVTFactor: 1.5
+TNC_shared_waitTime_mean:
+  1: 5.0
+  2: 8.0
+  3: 11.0
+  4: 15.0
+  5: 15.0
+TNC_shared_waitTime_sd:
+  1: 4.1
+  2: 4.1
+  3: 4.1
+  4: 4.1
+  5: 4.1
+min_waitTime: 0
+max_waitTime: 50
+
+ivt_lrt_multiplier: 0.65
+ivt_brt_multiplier: 0.95
+ivt_cmr_multiplier: 0.65
+ivt_ltd_multiplier: 1.0
+ivt_cost_multiplier: 0.6
+# line-haul mode constants; note commuter rail is based on CMRIVTT. Also currently hyperloop is not applied because we do not skim hyperloop IVTT
+eb_equiv_asc: 10
+brt_equiv_asc: -5
+lrt_equiv_asc: -20
+hyp_equiv_asc: -20
+pnr_lrt_equiv_asc: -20
+#
+walktimeshort_multiplier: 2
+walktimelong_multiplier: 10
+biketimeshort_multiplier: 4
+biketimelong_multiplier: 20
+short_i_wait_multiplier: 2
+long_i_wait_multiplier: 1
+wacc_multiplier: 2
+wegr_multiplier: 2
+waux_multiplier: 2
+dtim_multiplier: 2
+xwait_multiplier: 2
+dacc_ratio: 0
+xfers_wlk_multiplier: 10
+xfers_drv_multiplier: 20
+drvtrn_distpen_0_multiplier: 270
+drvtrn_distpen_max: 15
+density_index_multiplier: -0.2
+#    joint_sr2_ASC_no_auto: 0
+#    joint_sr2_ASC_auto_deficient: 0
+#    joint_sr2_ASC_auto_sufficient: 0
+#    joint_drive_transit_ASC_no_auto: 0
+cost_share_s2: 0.57
+cost_share_s3: 0.37
+vot_threshold_low: 8.81
+vot_threshold_med: 18.00
+max_walk_time: 60
+max_bike_time: 60
+max_walk_distance: 3
+max_bike_distance: 12
+# Location of attractions for associated special size terms
+cabrillo_maz: 23831
+seaworld_maz: 8127
+legoland_maz: 24245
+safari_maz: 14345
+midway_maz: 10646
+zoo_maz: 10561
+torrypines_maz: 4093
+
+# Micromobility constants
+microSpeed: 12
+microVarCost: 20 #cents
+microFixedCost: 100 #cents
+microRentTime: 1
+microConstant: 60
+microAccessThreshold: 100
+ebikeownership: 0.008
+ebikeMaxDist: 10.50
+escooterMaxDist: 2.00
+
+# Microtransit and NEV constants
+microtransitSpeed: 30
+microtransitCost: 125 #cents
+microtransitWaitTime: 12
+microtransitMaxDist: 4.5
+microtransitDiversionConstant: 5
+microtransitDiversionFactor: 1.25
+nevSpeed: 17
+nevCost: 125 #cents
+nevWaitTime: 12
+nevMaxDist: 3
+nevDwellMinutesPerMile: 0.5
+nevDiversionConstant: 5
+nevDiversionFactor: 1.25
+maxWalkIfMTAccessAvailable: 0.5 # Maximum distance to walk to premium transit if microtransit access is available
+
+# cost of "average" monthly transit pass cost.  Used in transit pass ownership model.
+# cost of pass divided by 2 for age < 18 and 65+.
+monthly_transit_pass_cost: 100
+
+# year after which a vehicle (therefore its household) must have transponder
+hhTR_Vehyear: 2035