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<metadata xml:lang="en">
<Esri>
<CreaDate>20220304</CreaDate>
<CreaTime>10170100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Bus_Stops</resTitle>
</idCitation>
<idAbs>This feature class contains Ride-On bus stops created from the system's GTFS file downloaded on 6/14/2018 from http://www.montgomerycountymd.gov/DOT-Transit/GTFS/GTFSfiles.html. This feature class is intended to provide applicants required to conduct a transit adequacy assessment as part of their transportation impact study a method to identify the unique ID of the particular transit stop(s) under study.</idAbs>
<searchKeys>
<keyword>transit</keyword>
<keyword>bus</keyword>
</searchKeys>
<idPurp>Locations of Bus Stops (both RideOn and WMATA) within Montgomery County</idPurp>
<idCredit>Ride-On, MCDOT</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
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</Data>
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