20240129
14341500
1.0
FALSE
hsnsintersectionsmerge
002
0.000
file://\\nq-cluster6.co.lancaster.pa.us\share-pc\TRANS\GIS (Geographic Information Systems)\Projects\TIP (Transportation Improvement Program)\2025-2028\2025 Scoring Layers.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
Clip 2021_HSNS_Urban_Int "County Boundary" "S:\USERS\Peters\III. MPO\2. Transportation Improvement Program\2023 - 2026\Safety Locations - HSNS 2021\2021_HSNS_Urban_Int_LC.shp" #
CalculateField Urban_Intersections Points ([EXCESS_COS]/388200)*14 VB #
CalculateField Urban_Intersections Points ([EXCESS_COS]/1447900)*14 VB #
CalculateField Urban_Intersections Points ([EXCESS_COS]/1489600)*14 VB #
Merge Urban_Intersections;Rural_Intersections "C:\Users\readdleman\OneDrive - Lancaster County\Documents\ArcGIS\Default.gdb\hsnsintersectionsmerge" "OBJECTID "OBJECTID" true true false 4 Long 0 0 ,First,#,Urban_Intersections,OBJECTID,-1,-1,Rural_Intersections,ObjectID,-1,-1;HSNS_ID "HSNS_ID" true true false 100 Text 0 0 ,First,#,Urban_Intersections,HSNS_ID,-1,-1,Rural_Intersections,HSNS_ID,-1,-1;DISTRICT "DISTRICT" true true false 8 Double 0 0 ,First,#,Urban_Intersections,DISTRICT,-1,-1,Rural_Intersections,DISTRICT,-1,-1;COUNTY "COUNTY" true true false 254 Text 0 0 ,First,#,Urban_Intersections,COUNTY,-1,-1,Rural_Intersections,COUNTY,-1,-1;MUNICIPALI "MUNICIPALI" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MUNICIPALI,-1,-1,Rural_Intersections,MUNICIPALI,-1,-1;TINERSECTI "TINERSECTI" true true false 254 Text 0 0 ,First,#,Urban_Intersections,TINERSECTI,-1,-1,Rural_Intersections,TINERSECTI,-1,-1;MAJ_ROAD_N "MAJ_ROAD_N" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MAJ_ROAD_N,-1,-1,Rural_Intersections,MAJ_ROAD_N,-1,-1;MAJ_DESIGN "MAJ_DESIGN" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MAJ_DESIGN,-1,-1,Rural_Intersections,MAJ_DESIGN,-1,-1;MAJ_SEG_NO "MAJ_SEG_NO" true true false 8 Double 0 0 ,First,#,Urban_Intersections,MAJ_SEG_NO,-1,-1,Rural_Intersections,MAJ_SEG_NO,-1,-1;MAJ_OFFSET "MAJ_OFFSET" true true false 8 Double 0 0 ,First,#,Urban_Intersections,MAJ_OFFSET,-1,-1,Rural_Intersections,MAJ_OFFSET,-1,-1;MAJ_CLASS "MAJ_CLASS" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MAJ_CLASS,-1,-1;MAJ_AADT "MAJ_AADT" true true false 8 Double 0 0 ,First,#,Urban_Intersections,MAJ_AADT,-1,-1,Rural_Intersections,MAJ_AADT,-1,-1;MAJ_SPEED "MAJ_SPEED" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MAJ_SPEED,-1,-1,Rural_Intersections,MAJ_SPEED,-1,-1;MAJ_LEFT "MAJ_LEFT" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MAJ_LEFT,-1,-1,Rural_Intersections,MAJ_LEFT,-1,-1;MAJ_RIGHT "MAJ_RIGHT" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MAJ_RIGHT,-1,-1,Rural_Intersections,MAJ_RIGHT,-1,-1;MAJ_CROSS "MAJ_CROSS" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MAJ_CROSS,-1,-1,Rural_Intersections,MAJ_CROSS,-1,-1;MIN_ROAD_N "MIN_ROAD_N" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_ROAD_N,-1,-1,Rural_Intersections,MIN_ROAD_N,-1,-1;MIN_DESIGN "MIN_DESIGN" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_DESIGN,-1,-1,Rural_Intersections,MIN_DESIGN,-1,-1;MIN_SEG_NO "MIN_SEG_NO" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_SEG_NO,-1,-1,Rural_Intersections,MIN_SEG_NO,-1,-1;MIN_OFFSET "MIN_OFFSET" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_OFFSET,-1,-1,Rural_Intersections,MIN_OFFSET,-1,-1;MIN_CLASS "MIN_CLASS" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_CLASS,-1,-1;MIN_AADT "MIN_AADT" true true false 8 Double 0 0 ,First,#,Urban_Intersections,MIN_AADT,-1,-1,Rural_Intersections,MIN_AADT,-1,-1;MIN_SPEED "MIN_SPEED" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_SPEED,-1,-1,Rural_Intersections,MIN_SPEED,-1,-1;MIN_LEFT "MIN_LEFT" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_LEFT,-1,-1;MIN_RIGHT "MIN_RIGHT" true true false 254 Text 0 0 ,First,#,Urban_Intersections,MIN_RIGHT,-1,-1;NO_YEARS "NO_YEARS" true true false 8 Double 0 0 ,First,#,Urban_Intersections,NO_YEARS,-1,-1,Rural_Intersections,NO_YEARS,-1,-1;FAT_INJ "FAT_INJ" true true false 8 Double 0 0 ,First,#,Urban_Intersections,FAT_INJ,-1,-1,Rural_Intersections,FAT_INJ,-1,-1;PDO "PDO" true true false 8 Double 0 0 ,First,#,Urban_Intersections,PDO,-1,-1,Rural_Intersections,PDO,-1,-1;OBSERVED_T "OBSERVED_T" true true false 8 Double 0 0 ,First,#,Urban_Intersections,OBSERVED_T,-1,-1,Rural_Intersections,OBSERVED_T,-1,-1;OBSERVED_Y "OBSERVED_Y" true true false 8 Double 0 0 ,First,#,Urban_Intersections,OBSERVED_Y,-1,-1,Rural_Intersections,OBSERVED_Y,-1,-1;PRED_YEAR "PRED_YEAR" true true false 8 Double 0 0 ,First,#,Urban_Intersections,PRED_YEAR,-1,-1,Rural_Intersections,PRED_YEAR,-1,-1;OBSERVED_O "OBSERVED_O" true true false 8 Double 0 0 ,First,#,Urban_Intersections,OBSERVED_O,-1,-1,Rural_Intersections,OBSERVED_O,-1,-1;OBSERVED_W "OBSERVED_W" true true false 8 Double 0 0 ,First,#,Urban_Intersections,OBSERVED_W,-1,-1,Rural_Intersections,OBSERVED_W,-1,-1;FI_EXPECTE "FI_EXPECTE" true true false 8 Double 0 0 ,First,#,Urban_Intersections,FI_EXPECTE,-1,-1,Rural_Intersections,FI_EXPECTE,-1,-1;FI_EXCESS "FI_EXCESS" true true false 8 Double 0 0 ,First,#,Urban_Intersections,FI_EXCESS,-1,-1,Rural_Intersections,FI_EXCESS,-1,-1;FI_YEAR "FI_YEAR" true true false 8 Double 0 0 ,First,#,Urban_Intersections,FI_YEAR,-1,-1,Rural_Intersections,FI_YEAR,-1,-1;FI_PREDICT "FI_PREDICT" true true false 8 Double 0 0 ,First,#,Urban_Intersections,FI_PREDICT,-1,-1,Rural_Intersections,FI_PREDICT,-1,-1;FI_OV "FI_OV" true true false 8 Double 0 0 ,First,#,Urban_Intersections,FI_OV,-1,-1,Rural_Intersections,FI_OV,-1,-1;FI_W "FI_W" true true false 8 Double 0 0 ,First,#,Urban_Intersections,FI_W,-1,-1,Rural_Intersections,FI_W,-1,-1;TOTAL_EXPE "TOTAL_EXPE" true true false 8 Double 0 0 ,First,#,Urban_Intersections,TOTAL_EXPE,-1,-1,Rural_Intersections,TOTAL_EXPE,-1,-1;EXCESS "EXCESS" true true false 8 Double 0 0 ,First,#,Urban_Intersections,EXCESS,-1,-1,Rural_Intersections,EXCESS,-1,-1;EXCESS_COS "EXCESS_COS" true true false 8 Double 0 0 ,First,#,Urban_Intersections,EXCESS_COS,-1,-1,Rural_Intersections,EXCESS_COS,-1,-1;GOOGLE_MAP "GOOGLE_MAP" true true false 254 Text 0 0 ,First,#,Urban_Intersections,GOOGLE_MAP,-1,-1,Rural_Intersections,GOOGLE_MAP,-1,-1;EXCESS_POP "EXCESS_POP" true true false 254 Text 0 0 ,First,#,Urban_Intersections,EXCESS_POP,-1,-1,Rural_Intersections,EXCESS_POP,-1,-1;Points "Points" true true false 8 Double 0 0 ,First,#,Urban_Intersections,Points,-1,-1,Rural_Intersections,Points,-1,-1;OBJECTID_1 "OBJECTID_1" true true false 4 Long 0 0 ,First,#,Rural_Intersections,OBJECTID_1,-1,-1;HSNS_ID_1 "HSNS_ID_1" true true false 254 Text 0 0 ,First,#,Rural_Intersections,HSNS_ID_1,-1,-1;MAJ_LANES "MAJ_LANES" true true false 254 Text 0 0 ,First,#,Rural_Intersections,MAJ_LANES,-1,-1;MIN_CROSS "MIN_CROSS" true true false 254 Text 0 0 ,First,#,Rural_Intersections,MIN_CROSS,-1,-1;ANGLE_1 "ANGLE_1" true true false 254 Text 0 0 ,First,#,Rural_Intersections,ANGLE_1,-1,-1;ANGLE_2 "ANGLE_2" true true false 254 Text 0 0 ,First,#,Rural_Intersections,ANGLE_2,-1,-1"
CalculateField HSNS_Intersections Points (!EXCESS_COS!/1729400)*14 "Python 3" # Text
20230320
16372800
20230320
16372800
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
HSNS_Intersections_SGtest
Planning
Lancaster
Transportation
HSNS Point layer for Lancaster County. Provided by Penn Dot
File Geodatabase Feature Class
0.000
dataset
EPSG
8.8(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
hsnsintersectionsmerge
Feature Class
0
OBJECTID_12
OBJECTID_12
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID_1
OBJECTID_1
Integer
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.
OBJECTID
OBJECTID
Integer
4
0
0
HSNS_ID
HSNS_ID
String
100
0
0
DISTRICT
DISTRICT
Double
8
0
0
COUNTY
COUNTY
String
254
0
0
MUNICIPALI
MUNICIPALI
String
254
0
0
TINERSECTI
TINERSECTI
String
254
0
0
MAJ_ROAD_N
MAJ_ROAD_N
String
254
0
0
MAJ_DESIGN
MAJ_DESIGN
String
254
0
0
MAJ_SEG_NO
MAJ_SEG_NO
Double
8
0
0
MAJ_OFFSET
MAJ_OFFSET
Double
8
0
0
MAJ_CLASS
MAJ_CLASS
String
254
0
0
MAJ_AADT
MAJ_AADT
Double
8
0
0
MAJ_SPEED
MAJ_SPEED
String
254
0
0
MAJ_LEFT
MAJ_LEFT
String
254
0
0
MAJ_RIGHT
MAJ_RIGHT
String
254
0
0
MAJ_CROSS
MAJ_CROSS
String
254
0
0
MIN_ROAD_N
MIN_ROAD_N
String
254
0
0
MIN_DESIGN
MIN_DESIGN
String
254
0
0
MIN_SEG_NO
MIN_SEG_NO
String
254
0
0
MIN_OFFSET
MIN_OFFSET
String
254
0
0
MIN_CLASS
MIN_CLASS
String
254
0
0
MIN_AADT
MIN_AADT
Double
8
0
0
MIN_SPEED
MIN_SPEED
String
254
0
0
MIN_LEFT
MIN_LEFT
String
254
0
0
MIN_RIGHT
MIN_RIGHT
String
254
0
0
NO_YEARS
NO_YEARS
Double
8
0
0
FAT_INJ
FAT_INJ
Double
8
0
0
PDO
PDO
Double
8
0
0
OBSERVED_T
OBSERVED_T
Double
8
0
0
OBSERVED_Y
OBSERVED_Y
Double
8
0
0
PRED_YEAR
PRED_YEAR
Double
8
0
0
OBSERVED_O
OBSERVED_O
Double
8
0
0
OBSERVED_W
OBSERVED_W
Double
8
0
0
FI_EXPECTE
FI_EXPECTE
Double
8
0
0
FI_EXCESS
FI_EXCESS
Double
8
0
0
FI_YEAR
FI_YEAR
Double
8
0
0
FI_PREDICT
FI_PREDICT
Double
8
0
0
FI_OV
FI_OV
Double
8
0
0
FI_W
FI_W
Double
8
0
0
TOTAL_EXPE
TOTAL_EXPE
Double
8
0
0
EXCESS
EXCESS
Double
8
0
0
EXCESS_COS
EXCESS_COS
Double
8
0
0
GOOGLE_MAP
GOOGLE_MAP
String
254
0
0
Points
Points
Double
8
0
0
EXCESS_POP
EXCESS_POP
String
254
0
0
HSNS_ID_1
HSNS_ID_1
String
254
0
0
MAJ_LANES
MAJ_LANES
String
254
0
0
MIN_CROSS
MIN_CROSS
String
254
0
0
ANGLE_1
ANGLE_1
String
254
0
0
ANGLE_2
ANGLE_2
String
254
0
0
20230320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