2022-05-23 16445800 2022-12-20 14:32:20.15 editor:esri.dijit.metadata.editor 1.0 ISO 19139 Metadata Implementation Specification ISO19139 false FALSE 2022-05-23 21002600 002 Ride_KC_Site1 Projected GCS_WGS_1984 WGS_1984_Web_Mercator_Auxiliary_Sphere Linear Unit: Meter (1.000000) <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[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,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> dataset 1671568307054r10535562706764745 2022-05-23 14:31:46.60 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 Simple FALSE 0 TRUE FALSE Ride_KC_Site1 <div><span style='color:rgb(51, 51, 51); font-family:open_sansregular, sans-serif; font-size:12.6px;'>Partnering with IFF, RKCDC and KCATA engaged in studying the early childhood education and care needs around two transit locations. This study strives to provide insights that can be used to leverage strategies for transit and childcare that support jobs access to employment centers.</span><br /></div><div><br /></div>The location of the 75th and Prospect site for the proposed new hub of Ride KC This is a point feature of site 1 Esri ArcGIS 12.9.2.32739 Ride KCCommunity DevelopmentKansas CityResearch & Eval ProjectDataDrive TimesTransportation dataFinal80033 - Ride KC Development Corporation Other Constraints Other Constraints File Geodatabase Feature Class 0 Ride_KC_Site1 Site 1 (75th & Prospect) KC ATA Feature Class 0 OBJECTID OBJECTID Internal feature number. Esri OID 4 0 0 Sequential unique whole numbers that are automatically generated. Shape Shape Feature geometry. Esri Geometry 0 0 0 Coordinates defining the features. Name Name String 4000 0 0 Address Address String 4000 0 0 City City String 4000 0 0 Zip Zip Integer 4 0 0 Lat Lat Double 8 0 0 Long Long Double 8 0 0 EPSG 6.18.3(9.3.1.2)