@article{b9f6a11222874bdcb9e009c924bd2334,
title = "Green infrastructure financing as an imperative to achieve green goals",
abstract = "Green infrastructure (GI) has increasingly gained popularity for achieving adaptation and mitigation goals associated with climate change and extreme weather events. To continue implementing GI, financial tools are needed for upfront project capital or development costs and later for maintenance. This study's purpose is to evaluate financing tools used in a selected GI dataset and to assess how those tools are linked to various GI technologies and other GI project characteristics like cost and size. The dataset includes over 400 GI U.S. projects, comprising a convenience sample, from the American Society of Landscape Architects (ASLA). GI project characteristics were organized to answer a number of research questions using descriptive statistics. Results indicated that the number of projects and overall cost shares were mostly located in a few states. Grants were the most common financial tool with about two-thirds of the projects reporting information on financial tools receiving grant funding. Most projects reported financing from only one tool with a maximum of three tools. Projects primarily included multiple GI technologies averaging three and a maximum of nine. The most common GI technologies were bioswales, retention, rain gardens, and porous pavements. These findings are useful for decision-makers evaluating funding support for GI.",
keywords = "Climate mitigation and adaptation, Co-benefits, Financial sources, Green infrastructure finance, Green infrastructure project costs, Private finance, Public finance, Stormwater management",
author = "Rae Zimmerman and Ryan Brenner and Abella, {Jimena Llopis}",
note = "Funding Information: The authors acknowledge the following grants for financial support: The grant titled, {"}Urban Resilience to Extreme Weather Related Events Sustainability Research Network (UREx SRN){"}, funded by the National Science Foundation (1444755) through Arizona State University; and the grant titled, {"}Dynamic Resiliency Modeling and Planning for Interdependent Critical Infrastructures{"}, from the Critical Infrastructure Resilience Institute, U. of Illinois, Urbana-Champaign, Homeland Security Center of Excellence, U.S. Department of Homeland Security. http://ciri.illinois.edu/research/dynamic-resiliency-modeling-and-planninginterdependent- critical-infrastructure. The authors gratefully acknowledge the ASLA for their case database used for the research. Disclaimer: Any opinions, findings, conclusions or recommendations expressed in this paper do not necessarily reflect the views of the sponsors or the sources of the data used. Funding Information: Community Development Block Grant (CDBG) Sustainable Communities Regional Planning Grants Community Challenge Planning Grant (CCPG) Community Development Block Grant—Disaster Recovery (CDBG-DR) Funding Information: Funding: This research received external funding from the National Science Foundation (grant number 1444755) through a subcontract to New York University from Arizona State University and from the U.S. Department of Homeland Security to New York University from the University of Illinois (Champaign-Urbana) Critical Infrastructure Resilience Institute. Funding Information: Acknowledgments: The authors acknowledge the following grants for financial support: The grant titled, “Urban Resilience to Extreme Weather Related Events Sustainability Research Network (UREx SRN)”, funded by the National Science Foundation (1444755) through Arizona State University; and the grant titled, “Dynamic Resiliency Modeling and Planning for Interdependent Critical Infrastructures”, from the Critical Infrastructure Resilience Institute, U. of Illinois, Urbana-Champaign, Homeland Security Center of Excellence, U.S. Department of Homeland Security. http://ciri.illinois.edu/research/dynamic-resiliency-modeling-and-planning-interdependent-critical-infrastructure. The authors gratefully acknowledge the ASLA for their case database used for the research. Disclaimer: Any opinions, findings, conclusions or recommendations expressed in this paper do not necessarily reflect the views of the sponsors or the sources of the data used. Publisher Copyright: {\textcopyright} 2019 by the authors.",
year = "2019",
month = mar,
day = "1",
doi = "10.3390/cli7030039",
language = "English (US)",
volume = "7",
journal = "Climate",
issn = "2225-1154",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",
}