<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250216</CreaDate>
<CreaTime>11270000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Transit-Oriented Development (TOD) is often cited as one of the most effective ways of promoting Smart Growth. TOD is compact, pedestrian-friendly, mixed-use development within a short distance of a transit stop. When properly designed, TODs can promote multiple transportation options and help reduce automobile dependency. Developments typically must meet a number of criteria related to density, parking, and design to be considered a TOD.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The projects highlighted here are characterized as Development Near Transit rather than TODs because they sometimes do not meet all of the criteria typically associated with TOD. However, these developments are notable for their proximity to transit and the transit- and pedestrian-friendly features they include.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;------&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The Smart Growth Project Database is an application that tracks a variety of noteworthy development projects throughout the Greater Philadelphia Region. The database focuses on three types of Smart Growth projects: development near transit, traditional neighborhood development (TND), and conservation subdivisions. These types of development were selected because they often embody several of the core principles of Smart Growth:&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Providing a mix of land uses,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Creating a range of housing options,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Preserving open space, farmland, and critical environmental areas,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Creating walkable neighborhoods, and&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Providing a variety of transportation choices.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;This database is meant to serve as a quick and convenient reference tool for planners, local officials, and citizens who are interested in Smart Growth. It includes projects that are proposed, in progress, and complete. The details of proposed developments are subject to change and projects will be updated and added as new information becomes available. The inclusion of any particular project within this application does not serve as an endorsement by DVRPC or its partner agencies. Furthermore, this application focuses on recent developments because they are the most relevant to today's real estate and economic climate. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>smart growth</keyword>
<keyword>transit</keyword>
<keyword>development</keyword>
</searchKeys>
<idPurp>DVRPC Smart Growth DNT (Development Near Transit)</idPurp>
<idCredit>Delaware Valley Regional Planning Commission (DVRPC)</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;https://catalog.dvrpc.org/dvrpc_data_license.html&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Smart Growth Development Near Transit</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
