A Framework for Multifunctional Green Infrastructure Investment in Camden, NJ
Author(s) -
Kate Zidar,
Maryse Belliveau-Nance,
Anthony Cucchi,
Danielle Denk,
Andrew Kricun,
Shaun O’Rourke,
Shudipto Rahman,
Sri Rangarajan,
Eric Rothstein,
Justin Shih,
Franco Montalto
Publication year - 2017
Publication title -
urban planning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 12
ISSN - 2183-7635
DOI - 10.17645/up.v2i3.1038
Subject(s) - green infrastructure , ecosystem services , stormwater , combined sewer , business , urban planning , urban ecosystem , environmental planning , investment (military) , service (business) , environmental resource management , transport engineering , ecosystem , civil engineering , environmental science , engineering , ecology , surface runoff , marketing , politics , law , biology , political science
This study demonstrates a decision-support framework for planning Green Infrastructure (GI) systems that maximize urban ecosystem services in Camden, NJ. Seven key ecosystem services are evaluated (urban agriculture expansion, combined sewer overflow reduction, heat island reduction, flooding reduction, capacity building/green jobs expansion, fitness expansion, and stress reduction), to produce a normalized value for each service for each drainage sub-basin within the city. Gaps in ecosystem services are then mapped and utilized to geographically prioritize different kinds of multifunctional GI. Conceptual designs are developed for four site typologies: parks, schools, vacant lots, and brownfield sites. For one demonstration site, additional analysis is presented on urban engagement, life cycle cost reduction, and new sources of funding. What results is an integrated, long-term vision where multifunctional GI systems can be readily customized to meet multiple needs within urban communities. This study provides a portable and replicable framework for leveraging the regulatory requirement to manage stormwater to meet broader urban revitalization goals, all through a decentralized network of green infrastructure assets.
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