20231012
15455800
1.0
FGDC CSDGM Metadata
FALSE
pln_VMTTrafficAnalysisZone
002
6236394.999856
6271990.999858
1944853.827140
1977155.012866
1
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_VI_FIPS_0406_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/10.7'><WKT>PROJCS["NAD_1983_StatePlane_California_VI_FIPS_0406_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",-116.25],PARAMETER["Standard_Parallel_1",32.78333333333333],PARAMETER["Standard_Parallel_2",33.88333333333333],PARAMETER["Latitude_Of_Origin",32.16666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2230]]</WKT><XOrigin>-118608900</XOrigin><YOrigin>-91259500</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102646</WKID><LatestWKID>2230</LatestWKID></ProjectedCoordinateSystem>
20231116
14302800
20231116
14302800
50000
5000
FGDC
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
VMT_Encinitas_Map
1
-117.311992
-117.194824
33.088537
32.998824
Polygon feature class detailing Vehicle Miles Traveled (VMT) model runs conducted at a Traffic Analysis Zone (TAZ) level. Model Run was conducted by Fehr & Peers based on the Modified SANDAG ABM2+ Version 14.2.2 (Series 14 Forecast, Scenario ID 469, September 2021) in support of the City of Encinitas General Plan and Housing Element Update. Data was last updated 10/12/2023.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Polygon feature class detailing Vehicle Miles Traveled (VMT) model runs conducted at a Traffic Analysis Zone (TAZ) level. Model Run was conducted by Fehr & Peers based on the Modified SANDAG ABM2+ Version 14.2.2 (Series 14 Forecast, Scenario ID 469, September 2021) in support of the City of Encinitas General Plan and Housing Element Update. Data was last updated 10/12/2023.</SPAN></P><P><SPAN /></P><P><SPAN>2016 = Existing Baseline 2016 with Adopted Housing Element</SPAN></P><P><SPAN /></P><P><SPAN>2050np = Future Baseline 2050 with Adopted Housing Element</SPAN></P><P><SPAN /></P><P><SPAN>2050wp = Baseline 2050 with Adopted Housing Element and Mobility Element</SPAN></P><P><SPAN /></P><P><SPAN>Original SANDAG Model Version: ABM2+ Version 14.2.2, Series 14 Forecast, Scenario ID 469, September 2021</SPAN></P><P><SPAN /></P><P><SPAN>See attributes below. For each scenario replace the [scenario_name] with scenario name indicated above.</SPAN></P><P><SPAN /></P><P><SPAN>res_pop_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>Resident Population</SPAN></P><P><SPAN /></P><P><SPAN>res_vmt_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>VMT generated by Residents</SPAN></P><P><SPAN /></P><P><SPAN>vmt_per_cap_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>VMT/Residents</SPAN></P><P><SPAN /></P><P><SPAN>vmt_per_cap_[scenario_name]_citywide_comp</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>VMT/Res compared to the city-wide average.</SPAN></P><P><SPAN /></P><P><SPAN>res_data_status_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>If the number of residents within a TAZ is less than 300, it is marked as "Not Enough Data." Similarly, if the VMT for a TAZ is not generated by the model, it is labeled as "No Data." It's important to note that when the field displays "No Data" or "Not Enough Data," the VMT per Residents attribute will revert to using Census tract data. This field primarily serves to identify TAZs on the map that have defaulted to Census data.</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>emp_pop_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>Employee Population</SPAN></P><P><SPAN /></P><P><SPAN>emp_vmt_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>VMT generated by Employee</SPAN></P><P><SPAN /></P><P><SPAN>vmt_per_emp_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>VMT/Employee</SPAN></P><P><SPAN /></P><P><SPAN>vmt_per_emp_[scenario_name]_regional_comp</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>VMT/Employee compared to the regional average</SPAN></P><P><SPAN /></P><P><SPAN>emp_data_status_[scenario_name]</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN>If the number of employees within a TAZ is less than 500, it is marked as "Not Enough Data." Similarly, if the VMT for a TAZ is not generated by the model, it is labeled as "No Data." It's important to note that when the field displays "No Data" or "Not Enough Data," the VMT per Employee attribute will revert to using Census tract data. This field primarily serves to identify TAZs on the map that have defaulted to Census data.</SPAN></P></DIV></DIV></DIV>
Planning
Transportation
VMT
TAZ
dataset
EPSG
5.3(9.0.0)
127
Simple
FALSE
127
TRUE
FALSE
pln_VMTTrafficAnalysisZone
Feature Class
127
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
TAZ
TAZ
Integer
4
10
0
Shape
Shape
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
vmt_per_cap_2016
vmt_per_cap_2016
Double
8
38
8
vmt_per_cap_2016_citywide_comp
vmt_per_cap_2016_citywide_comp
Double
8
38
8
res_data_status_2016
res_data_status_2016
String
1073741822
0
0
vmt_per_emp_2016
vmt_per_emp_2016
Double
8
38
8
vmt_per_emp_2016_regional_comp
vmt_per_emp_2016_regional_comp
Double
8
38
8
emp_data_status_2016
emp_data_status_2016
String
1073741822
0
0
vmt_per_cap_2050np_citywide_com
vmt_per_cap_2050np_citywide_comp
Double
8
38
8
vmt_per_cap_2050np
vmt_per_cap_2050np
Double
8
38
8
res_data_status_2050np
res_data_status_2050np
String
1073741822
0
0
vmt_per_emp_2050np_regional_com
vmt_per_emp_2050np_regional_comp
Double
8
38
8
vmt_per_emp_2050np
vmt_per_emp_2050np
Double
8
38
8
emp_data_status_2050np
emp_data_status_2050np
String
1073741822
0
0
vmt_per_cap_2050wp_citywide_com
vmt_per_cap_2050wp_citywide_comp
Double
8
38
8
vmt_per_cap_2050wp
vmt_per_cap_2050wp
Double
8
38
8
res_data_status_2050wp
res_data_status_2050wp
String
1073741822
0
0
vmt_per_emp_2050wp_regional_com
vmt_per_emp_2050wp_regional_comp
Double
8
38
8
vmt_per_emp_2050wp
vmt_per_emp_2050wp
Double
8
38
8
emp_data_status_2050wp
emp_data_status_2050wp
String
1073741822
0
0
res_pop_2016
res_pop_2016
Double
8
38
8
res_vmt_2016
res_vmt_2016
Double
8
38
8
emp_pop_2016
emp_pop_2016
Double
8
38
8
emp_vmt_2016
emp_vmt_2016
Double
8
38
8
res_pop_2050np
res_pop_2050np
Double
8
38
8
res_vmt_2050np
res_vmt_2050np
Double
8
38
8
emp_pop_2050np
emp_pop_2050np
Double
8
38
8
emp_vmt_2050np
emp_vmt_2050np
Double
8
38
8
res_pop_2050wp
res_pop_2050wp
Double
8
38
8
res_vmt_2050wp
res_vmt_2050wp
Double
8
38
8
emp_pop_2050wp
emp_pop_2050wp
Double
8
38
8
emp_vmt_2050wp
emp_vmt_2050wp
Double
8
38
8
Display_cap_2016
Display_cap_2016
Double
8
38
8
Display_emp_2016
Display_emp_2016
Double
8
38
8
Display_cap_2050
Display_cap_2050
Double
8
38
8
Display_emp_2050
Display_emp_2050
Double
8
38
8
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20231116
Feature Class
0.000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==