20231013
15151600
1.0
FALSE
Rename F:\ReplicaDeliverables\Replica2023\Monitoring_and_Reporting\GIS\replica-transportation_team-10_13_23-vmt_layer.shp F:\ReplicaDeliverables\Replica2023\Monitoring_and_Reporting\GIS\replica-transportation_team-10_13_23-vmt_layer_S23_bg_EV.shp ShapeFile
Rename F:\ReplicaDeliverables\Replica2023\Monitoring_and_Reporting\GIS\replica-transportation_team-10_13_23-vmt_layer_S23_bg_EV.shp F:\ReplicaDeliverables\Replica2023\Monitoring_and_Reporting\GIS\S23_bg_EV.shp ShapeFile
ExportFeatures S23_bg_EV I:\Projects\Warren\Big_Data_Pilot_Project_2019\Big_Data_Project\Big_Data_Project.gdb\MnR\S23_BG_EV_EXP # NOT_USE_ALIAS "geoName "geoName" true true false 80 Text 0 0,First,#,S23_bg_EV,S23_bg_EV.geoName,0,80;FIPS_bgrp "FIPS_bgrp" true true false 18 Double 0 18,First,#,S23_bg_EV,S23_bg_EV.FIPS_bgrp,-1,-1;centrLat "centrLat" true true false 24 Double 15 23,First,#,S23_bg_EV,S23_bg_EV.centrLat,-1,-1;centrLon "centrLon" true true false 24 Double 15 23,First,#,S23_bg_EV,S23_bg_EV.centrLon,-1,-1;sqmi "sqmi" true true false 24 Double 15 23,First,#,S23_bg_EV,S23_bg_EV.sqmi,-1,-1;resVMT "resVMT" true true false 24 Double 15 23,First,#,S23_bg_EV,S23_bg_EV.resVMT,-1,-1;home "home" true true false 9 Long 0 9,First,#,S23_bg_EV,S23_bg_EV.home,-1,-1;resVMT_pc "resVMT_pc" true true false 24 Double 15 23,First,#,S23_bg_EV,S23_bg_EV.resVMT_pc,-1,-1;origin_bgrp "origin_bgrp" true true false 8000 Text 0 0,First,#,S23_bg_EV,S23_bg_EV_tb_Statistics.origin_bgrp,0,8000;FREQUENCY "FREQUENCY" true true false 4 Long 0 0,First,#,S23_bg_EV,S23_bg_EV_tb_Statistics.FREQUENCY,-1,-1;SUM_EV_trip "SUM_EV_trip" true true false 8 Double 0 0,First,#,S23_bg_EV,S23_bg_EV_tb_Statistics.SUM_EV_trip,-1,-1;SUM_Non_EV_trip "SUM_Non_EV_trip" true true false 8 Double 0 0,First,#,S23_bg_EV,S23_bg_EV_tb_Statistics.SUM_Non_EV_trip,-1,-1" #
S23_BG_EV_EXP
002
file://\\data-svr\GIS\Projects\Warren\Big_Data_Pilot_Project_2019\Big_Data_Project\Big_Data_Project.gdb
Local Area Network
Geographic
GCS_North_American_1983
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/3.1.0'><WKT>GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
20231018
08084800
20231018
08084800
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.3.41833
S23_BG_EV_EXP
S23_BG_EV_EXP
S23_BG_EV_EXP
File Geodatabase Feature Class
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
S23_BG_EV_EXP
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.
geoName
geoName
String
80
0
0
FIPS_bgrp
FIPS_bgrp
Double
8
0
0
centrLat
centrLat
Double
8
0
0
centrLon
centrLon
Double
8
0
0
sqmi
sqmi
Double
8
0
0
resVMT
resVMT
Double
8
0
0
home
home
Integer
4
0
0
resVMT_pc
resVMT_pc
Double
8
0
0
origin_bgrp
origin_bgrp
String
8000
0
0
FREQUENCY
FREQUENCY
Integer
4
0
0
SUM_EV_trip
SUM_EV_trip
Double
8
0
0
SUM_Non_EV_trip
SUM_Non_EV_trip
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.
20231018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