Description: This layer is a line feature class that includes existing, programmed, planned, future trails located in the Price Georges County. This trail feature layer was developed using current area master plans, sector plans, approved site plans, the latest aerial photography, park master plan, trail user maps, and GPS data. The data is suitable for use at the countywide or planning area scale. The attributes associated with this layer indicate the type of facility such as existing and proposed hiker-biker-equestrian trails, natural surface trails, sidepaths, shared-use roadways, designated bike lanes, and water trails. This layer will be continually updated as new trails are constructed or as proposals are modified or added through the master plan or development review process.
Description: The purpose of this dataset is to create the layer schema for a sidewalk network that can be built for the purpose of linear network and referencing. Michael Baker digitzed sidewalk centerlines utilizing the existing GIS layer Transportation_2017_Py and MNCPPC provided imagery. Sidewalks were digitized in Prince George's County's priority areas and also in areas outside of the priority areas where budget allowed.
Description: The boundaries of the Transportation Service Areas (TSA) were created by Plan 2035, based on the geography of the 2002 General Plan Tiers. Detailed information may be found at http://www.planpgc2035.org/.
Description: This dataset contains bridges and bridge walkways/sidewalks within Prince George's County. Bridges are attributed by surface type. Bridge walkways/sidewalks are attributed as paved or unpaved. This data was captured for use in general mapping at a scale of 1:1200.
Description: This dataset contains roads, parking lots, runways and taxiways, driveways, railroad beds, and walkways/sidewalks within Prince George's County. Roads, parking lots, and railroad beds are attributed with surface type. Driveways, runways and taxiways, and walkways/sidewalks are attributed as either paved or unpaved. This data was captured for use in general mapping at a scale of 1:1200.