20250415
00250800
1.0
FALSE
P11_Paving_PCI
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_III_FIPS_0403_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/10.8'><WKT>PROJCS["NAD_1983_StatePlane_California_III_FIPS_0403_Feet",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]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",37.06666666666667],PARAMETER["Standard_Parallel_2",38.43333333333333],PARAMETER["Latitude_Of_Origin",36.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2227]]</WKT><XOrigin>-115860600</XOrigin><YOrigin>-93269500</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102643</WKID><LatestWKID>2227</LatestWKID></ProjectedCoordinateSystem>
20250415
00192800
20250415
00192800
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
P11_Paving_PCI
paving
pci
section width
street width
width
CLTS
Community-Led Traffic Safety
Community
Led
Traffic
Safety
Traffic Safety
permit
PCI Layer, symbolized for SECTIONWID (curb-to-curb street width) for use in CLTS permit program
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
P11_Paving_PCI
Feature Class
0
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FACILITYID
FACILITYID
String
30
0
0
STREET
STREET
String
50
0
0
BEGLOCATIO
BEGLOCATIO
String
50
0
0
ENDLOCATIO
ENDLOCATIO
String
50
0
0
FCDETAIL
FCDETAIL
String
50
0
0
FC
FC
String
5
0
0
SHAPEKEY
SHAPEKEY
String
20
0
0
STREETID
STREETID
String
10
0
0
SECTIONID
SECTIONID
String
10
0
0
GISSECTION
GISSECTION
String
20
0
0
SURFACETYP
SURFACETYP
String
15
0
0
MAPSTSect
MAPSTSect
String
100
0
0
YEAROFCONS
YEAROFCONS
Date
8
0
0
LANES
LANES
Integer
4
0
0
SECTIONLEN
SECTIONLEN
Double
8
0
0
SECTIONWID
SECTIONWID
Double
8
0
0
SECTIONARE
SECTIONARE
Double
8
0
0
SLABLENGTH
SLABLENGTH
Double
8
0
0
SLABWIDTH
SLABWIDTH
Double
8
0
0
NUMSLABS
NUMSLABS
Integer
4
0
0
TRAFFICIND
TRAFFICIND
Integer
4
0
0
ADT
ADT
Integer
4
0
0
PCI_2012
PCI_2012
Integer
4
0
0
PCI_2016
PCI_2016
Integer
4
0
0
ONEWAY
ONEWAY
String
15
0
0
SPEED
SPEED
Integer
4
0
0
NORMDT
NORMDT
Double
8
0
0
MILES
MILES
Double
8
0
0
BIKEWAYS
BIKEWAYS
String
1
0
0
TR
TR
String
4
0
0
TIER
TIER
String
30
0
0
TRUCK_ROUT
TRUCK_ROUT
String
40
0
0
DESCRIP
DESCRIP
String
50
0
0
OMC
OMC
String
30
0
0
EXTRALEGAL
EXTRALEGAL
String
1
0
0
CCD
CCD
String
10
0
0
CR_TOTAL
CR_TOTAL
Integer
4
0
0
CR_COMP
CR_COMP
Integer
4
0
0
CR_NONCOMP
CR_NONCOMP
Integer
4
0
0
CR_NOCURB
CR_NOCURB
Integer
4
0
0
BUSLINE
BUSLINE
String
3
0
0
PLAN_2014
PLAN_2014
String
25
0
0
PLAN_2019
PLAN_2019
String
25
0
0
PLAN_2022
PLAN_2022
String
25
0
0
SCHOOL_300
SCHOOL_300
String
3
0
0
SCHOOLPRIV
SCHOOLPRIV
String
3
0
0
UPDATED
UPDATED
String
50
0
0
PCI_2018
PCI_2018
Integer
4
0
0
StIDSecID
StIDSecID
String
254
0
0
PCI_2_2013
PCI_2_2013
Integer
4
0
0
PCI_2_2017
PCI_2_2017
Integer
4
0
0
PCI_2_2019
PCI_2_2019
Integer
4
0
0
PLAN_AREA
PLAN_AREA
String
254
0
0
PCI_2021
PCI_2021
String
25
0
0
PCI_2024
PCI_2024
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.
20250415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