DVRPC Connections 2050 Land Use Vision

LAND USE VISIONThe Connections 2050 Land Use Vision defines a regional visualization for Centers-based development and the preservation of agricultural and natural lands. The Land Use Vision divides the entire region up into four layers: Infill and Redevelopment areas, Emerging Growth areas, Rural Resource Lands, and the Greenspace Network. Overlaid on these land use areas are over 125 Centers, which are points of more concentrated development around which new development should be focused.GREENSPACE NETWORKThe Plan proposes linking and expanding the region’s existing protected natural areas into a Greenspace Network, where parks, forests, meadows, stream corridors, and floodplains are joined together in an interconnected system. The Greenspace Network is based on the twin principles of protecting core natural resource areas and linking them with greenways to create a connected system of naturally vegetated open space spanning urban, suburban, and rural areas.PLEASE NOTE: GEOGRAPHY IS FOR ILLUSTRATIVE PURPOSES ONLY AND IS DESIGNED TO BE USED AT THE DVRPC REGIONAL SCALE ONLYattribute field name = Greenspace Network namelup_type = Land Use Vision Typelabel_id = Used for cartographic labeling of Greenspace NetworkAll Connections 2050 Long-Range Plan elements are available online at www.dvrpc.org/plan. The Plan has two primary documents: (1) The Connections 2050 Policy Manual (www.dvrpc.org/Products/21027) identifies the vision, goals, strategies, and a summary of the financial plan. (2) The Connections 2050 Process and Analysis Manual (www.dvrpc.org/Products/21028) provides a more detailed look at the Plan’s outreach, background information, analysis, and financial plan.7/25/23 - Land Use Vision GIS dataset was merged with Greenspace Network

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objectid
name
lup_type
state
acres
label_id

Data Dictionary

Column Type Label Description
objectid OID objectid Internal feature number.
shape Geometry Shape Feature geometry.
name String name
lup_type String LUP_TYPE
state String STATE State
acres Double Acres
label_id String label_id
st_area(shape) Double st_area(shape)
st_perimeter(shape) Double st_perimeter(shape)