20231117
11485100
1.0
FALSE
TRANSP_Bicycle_Parking
002
2249341.776827
2263142.054672
227498.494402
252360.895793
1
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
<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/2.9.0'><WKT>PROJCS["NAD_1983_2011_StatePlane_Pennsylvania_South_FIPS_3702_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.75],PARAMETER["Standard_Parallel_1",39.93333333333333],PARAMETER["Standard_Parallel_2",40.96666666666667],PARAMETER["Latitude_Of_Origin",39.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6565]]</WKT><XOrigin>-119214200</XOrigin><YOrigin>-96198500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103142</WKID><LatestWKID>6565</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_2011_StatePlane_Pennsylvania_South_FIPS_3702_Ft_US
20250605
09144200
20250605
09144200
150000000
5000
ISO19115_3
Esri ArcGIS 12.9.13.32739
Bicycle Parking
['Feature Service'
'Open Data'
'Transportation'
'YCPC']
The Bicycle Parking GIS Layer provides a comprehensive spatial dataset representing the locations and attributes of bicycle parking facilities within York County, Pennsylvania. This layer facilitates urban planning, transportation management, and sustainable mobility initiatives by mapping secure and accessible bike racks, lockers, and designated parking zones. By integrating geospatial data with infrastructure details, the layer supports informed decision-making for enhancing cyclist convenience, improving multimodal connectivity, and promoting environmentally friendly transportation options. The dataset can be utilized by city planners, transit authorities, and community stakeholders to identify gaps, plan expansions, and optimize bike parking availability.
Layer should not be used at scales larger than 1:2400. Intended for illustration and demonstration purposes only. Distribution Liability THE
DATA AND METADATA HAS BEEN DEVELOPED SOLELY FOR INTERNAL USE BY YORK COUNTY PLANNING COMMISSION AND YORK COUNTY AS WELL AS ITS DEPARTMENTS AND AGENCIES (HEREINAFTER JOINTLY REFERRED TO AS “LICENSOR”) AND LICENSOR MAKES NO WARRANTIES, REPRESENTATIONS OR GUARANTEES, EITHER EXPRESS OR IMPLIED, AS TO THE COMPLETENESS, ACCURACY, OR CORRECTNESS OF THE DATA AND METADATA DOES NOT ACCEPT OR ASSUME ANY LIABILITY ARISING FROM OR FOR ANY INCORRECT, INCOMPLETE, OR MISLEADING DATA PROVIDED PURSUANT TO THIS PURCHASE/REQUEST. THERE ARE NO WARRANTIES AND/OR REPRESENTATIONS, EITHER EXPRESS OR IMPLIED, OF MERCHANTABILITY OR FITNESS OF THE DATA FOR A PARTICULAR PURPOSE OR USE. ALL DATA AND METADATA ARE PROVIDED “AS IS.”
0.000000
0.000000
1
-76.748232
-76.697955
40.021711
39.953025
Enterprise Geodatabase Feature Class
dataset
EPSG
8.2.10(10.3.1)
45
Simple
FALSE
45
TRUE
FALSE
TRANSP_Bicycle_Parking
Feature Class
45
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
SOURCE
Source
String
255
0
0
PARKING_SPACE_COUNT
Number of Parking Spaces
Integer
4
10
0
CREATE_DATE
Create Date
Date
8
0
0
MODIFY_DATE
MODIFY_DATE
Date
8
0
0
EDIT_NAME
Edit Name
String
20
0
0
EDIT_TYPE
Edit Type
String
30
0
0
MUNI_NAME
Municipal Name
String
255
0
0
TYPE
Type
String
255
0
0
ADDRESS
Address
String
255
0
0
CITY
City
String
255
0
0
ZIPCODE
Zipcode
String
255
0
0
USE_TYPE
Use Type
String
255
0
0
Name
Name
String
320
0
0
20250605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