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:
- Providing a mix of land uses,
- Creating a range of housing options,
- Preserving open space, farmland, and critical environmental areas,
- Creating walkable neighborhoods, and
- Providing a variety of transportation choices.
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.
Total Projects: 203
Developments Near Transit: 173
Traditional Neighborhood Developments: 24
Conservation Subdivisions: 13
Last Updated: March 2020
To submit a project to be considered for inclusion in the Smart Growth Project Database, please email Andrew Svekla at asvekla@dvrpc.org.
For more information about DVRPC’s support of Smart Growth throughout the region, please visit www.dvrpc.org/SmartGrowth.
This web page is a public resource of general information. The Delaware Valley Regional Planning Commission (DVRPC) makes no warranty,
representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database
information provided herein. DVRPC and partner state, local, and other agencies shall assume no liability for errors, omissions, or
inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying
on any information or data furnished within.