20260226
13271800
1.0
FALSE
CreateBuffers PierT_Trucks2025_analysis "G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb\PierT_50Mi_Buff" PLANAR DISTANCE # "50 Miles" # NONE # # #
Merge PierT_50Mi_Buff;PierT_40Mi_Buff;PierT_30Mi_Buff;PierT_20Mi_Buff;PierT_10Mi_Buff;PierT_5Mi_Buff;PierT_3Mi_Buff;PierT_1Mi_Buff "G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb\PierT_Buffers" "FID "FID" true true false 4 Long 0 0,First,#,PierT_50Mi_Buff,FID,-1,-1,PierT_40Mi_Buff,FID,-1,-1,PierT_30Mi_Buff,FID,-1,-1,PierT_20Mi_Buff,FID,-1,-1,PierT_10Mi_Buff,FID,-1,-1,PierT_5Mi_Buff,FID,-1,-1,PierT_3Mi_Buff,FID,-1,-1,PierT_1Mi_Buff,FID,-1,-1;id "id" true true false 10485758 Text 0 0,First,#,PierT_50Mi_Buff,id,0,10485757,PierT_40Mi_Buff,id,0,10485757,PierT_30Mi_Buff,id,0,10485757,PierT_20Mi_Buff,id,0,10485757,PierT_10Mi_Buff,id,0,10485757,PierT_5Mi_Buff,id,0,10485757,PierT_3Mi_Buff,id,0,10485757,PierT_1Mi_Buff,id,0,10485757;name "name" true true false 10485758 Text 0 0,First,#,PierT_50Mi_Buff,name,0,10485757,PierT_40Mi_Buff,name,0,10485757,PierT_30Mi_Buff,name,0,10485757,PierT_20Mi_Buff,name,0,10485757,PierT_10Mi_Buff,name,0,10485757,PierT_5Mi_Buff,name,0,10485757,PierT_3Mi_Buff,name,0,10485757,PierT_1Mi_Buff,name,0,10485757;direction "direction" true true false 8 Double 0 0,First,#,PierT_50Mi_Buff,direction,-1,-1,PierT_40Mi_Buff,direction,-1,-1,PierT_30Mi_Buff,direction,-1,-1,PierT_20Mi_Buff,direction,-1,-1,PierT_10Mi_Buff,direction,-1,-1,PierT_5Mi_Buff,direction,-1,-1,PierT_3Mi_Buff,direction,-1,-1,PierT_1Mi_Buff,direction,-1,-1;is_pass "is_pass" true true false 8 BigInteger 0 0,First,#,PierT_50Mi_Buff,is_pass,-1,-1,PierT_40Mi_Buff,is_pass,-1,-1,PierT_30Mi_Buff,is_pass,-1,-1,PierT_20Mi_Buff,is_pass,-1,-1,PierT_10Mi_Buff,is_pass,-1,-1,PierT_5Mi_Buff,is_pass,-1,-1,PierT_3Mi_Buff,is_pass,-1,-1,PierT_1Mi_Buff,is_pass,-1,-1;is_bidi "is_bidi" true true false 8 BigInteger 0 0,First,#,PierT_50Mi_Buff,is_bidi,-1,-1,PierT_40Mi_Buff,is_bidi,-1,-1,PierT_30Mi_Buff,is_bidi,-1,-1,PierT_20Mi_Buff,is_bidi,-1,-1,PierT_10Mi_Buff,is_bidi,-1,-1,PierT_5Mi_Buff,is_bidi,-1,-1,PierT_3Mi_Buff,is_bidi,-1,-1,PierT_1Mi_Buff,is_bidi,-1,-1;BUFF_DIST "BUFF_DIST" true true false 8 Double 0 0,First,#,PierT_50Mi_Buff,BUFF_DIST,-1,-1,PierT_40Mi_Buff,BUFF_DIST,-1,-1,PierT_30Mi_Buff,BUFF_DIST,-1,-1,PierT_20Mi_Buff,BUFF_DIST,-1,-1,PierT_10Mi_Buff,BUFF_DIST,-1,-1,PierT_5Mi_Buff,BUFF_DIST,-1,-1,PierT_3Mi_Buff,BUFF_DIST,-1,-1,PierT_1Mi_Buff,BUFF_DIST,-1,-1" NO_SOURCE_INFO MANUAL_EDIT
Clip PierT_Buffers California_Mainland "G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb\PierT_Buffers_Clip" #
DeleteField PierT_Buffers_Clip id DELETE_FIELDS
DeleteField PierT_Buffers_Clip FID DELETE_FIELDS
DeleteField PierT_Buffers_Clip direction;is_pass;is_bidi;BUFF_DIST DELETE_FIELDS
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WorkspaceConnectionString>DATABASE=G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>PierT_Buffers_Clip</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Truck_To_PierT</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Truck_From_PierT</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>All_To_PierT</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>All_From_PierT</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField PierT_Buffers_Clip Truck_From_PierT 0 PYTHON3 # TEXT NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WorkspaceConnectionString>DATABASE=G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>PierT_Buffers_Clip</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>All_To_PierT_Home_Work</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>All_From_PierT_Home_Work</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CopyFeatures PierT_Buffers_Clip_Split "G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb\PierT_Buffers_Clip_Split" # # # #
FeatureToPolygon PierT_Buffers_Clip_Split;California_Counties;'Selected Highways' "G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb\PierT_Buffers_Split" # ATTRIBUTES #
CalculateField PierT_Buffers_Split name '50+ Miles' PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CopyFeatures PierT_Buffers_Split_ "G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb\PierT_Buffers_Split_" # # # #
DeleteField PierT_Buffers_Split_ FID_California_Counties;CDTFA_COUNTY;CDTFA_COPRI;CENSUS_PLACE_NAME;CENSUS_GEOID;CENSUS_PLACE_TYPE;GNIS_PLACE_NAME;GNIS_ID;CDT_COUNTY_ABBR;PRIMARY_DOMAIN;CENSUS_POPULATION;CDT_NAME_SHORT;OFFSHORE;AREA_SQMI DELETE_FIELDS
DeleteField PierT_Buffers_Split_ FID_PierT_Buffers_Clip_Split DELETE_FIELDS
CalculateField PierT_Buffers_Split_ name '40-50 Miles' PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField PierT_Buffers_Split_ name '3-5 Miles' PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField PierT_Buffers_Split_ name '5-10 Miles' PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField PierT_Buffers_Split_ name '10-15 Miles' PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField PierT_Buffers_Split_ name '15-20 Miles' PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField PierT_Buffers_Split_ name '20-30 Miles' PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CopyFeatures Port_Buffers_Split "G:\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb\Port_Buffers_Split" # # # #
DeleteField Port_Buffers_Split Truck_To_PierT;Truck_From_PierT;All_To_PierT;All_From_PierT;All_To_PierT_Home_Work;All_From_PierT_Home_Work DELETE_FIELDS
Port_Buffers_Split
002
file://\\purefile-hs\GIS_Drive\GIS\LB\LB250143_SCAG_Big_Data_TA_Program\POLB Pier T\LB250143_SCAG_Big_Data_TA_Program_POLB\LB250143_SCAG_Big_Data_TA_Program_POLB.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>16093472.173863573</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>6.2136994900000004e-07</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20260227
16151400
20260227
16151400
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.4.0.55405
Port_Buffers_Split
Buffered Sections from Port of LA/LB
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
TRUE
Port_Buffers_Split
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
name
name
String
10485758
0
0
Truck_To_PierT
Truck_To_PierT
Double
8
0
0
Truck_From_PierT
Truck_From_PierT
Double
8
0
0
All_To_PierT
All_To_PierT
Double
8
0
0
All_From_PierT
All_From_PierT
Double
8
0
0
All_To_PierT_Home_Work
All_To_PierT_Home_Work
Double
8
0
0
All_From_PierT_Home_Work
All_From_PierT_Home_Work
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20260227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