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Making Å·²©ÓéÀÖ case for stormwater resilience

How we led an interdisciplinary team to build a powerful, data-backed business case for stormwater resilience investments in Miami Beach.

Summary

ICF led an in this pilot study to understand Å·²©ÓéÀÖ business case for stormwater resilience investments in Miami Beach. The study considered Å·²©ÓéÀÖ effect of sea level rise and infrastructure investments on factors such as flood damages, property values, insurance premiums, tax revenues, business disruptions, and more.

Challenge

Miami Beach is experiencing sea level rise. As a result, Å·²©ÓéÀÖ city is developing an ambitious program to combat its flood risks. However, Å·²©ÓéÀÖ city needed more data on Å·²©ÓéÀÖ economic implications of its investments before advancing this program.

The goal of this study was to understand and communicate Å·²©ÓéÀÖ business case for stormwater resilience investments in Miami Beach through robust data analysis and state-of-Å·²©ÓéÀÖ-art modeling. This study developed a unique formula for Miami Beach to determine Å·²©ÓéÀÖ economic benefit of adaptation and Å·²©ÓéÀÖ city’s stormwater resilience improvements.

Solution

We conducted a business case study with an interdisciplinary team that included Kimley-Horn, AIR Worldwide, Brizaga, and Florida Atlantic University. The business case evaluated three scales of resilience investments: an individual home, a neighborhood, and citywide. The analysis innovatively integrated three types of state-of-Å·²©ÓéÀÖ-art models.

Stormwater Model

This study used an integrated 2-dimensional surface and groundwater modeling software (ICPR4, Å·²©ÓéÀÖ Interconnected Pond Rounding model version 4). The model combines rain, tides, and groundwater. It captures how flooding is reduced through stormwater pipes, pumps, and elevation. For Å·²©ÓéÀÖ First Street neighborhood, Å·²©ÓéÀÖ model showed that Å·²©ÓéÀÖ city's proposed investments including stormwater pipes, pumps, and elevating Å·²©ÓéÀÖ road reduce Å·²©ÓéÀÖ level of water enough to eliminate flooding to buildings during Å·²©ÓéÀÖ five- and ten-year rainstorm events.

Miami Beach Example Results
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Catastrophic Risk Model

This study used Å·²©ÓéÀÖ AIR Tropical Cyclone model to estimate expected losses from storm surge with and without sea level rise, and to estimate Å·²©ÓéÀÖ effects of public and private flood mitigation measures on both expected losses and associated insurance premiums. The modeling shows that a sea level rise of approximately one foot (compared to 2013 levels) will produce approximately a doubling in Å·²©ÓéÀÖ losses from small to moderate hurricanes and a 25 to 30% increase in damages from severe hurricanes (e.g., a direct hit from a major hurricane).

Property Value Model

This study used a hedonic pricing model to determine Å·²©ÓéÀÖ effects of public and private investments on home values. Hedonic modeling is a statistical analysis technique used to isolate how much people are willing to pay for a particular characteristic related to a home purchase—in this case Å·²©ÓéÀÖ parcel elevation and Å·²©ÓéÀÖ elevation of nearby roadways. The model was based on actual home sales prices in Miami Beach from 2005 through January 2019. The analysis was independently peer-reviewed.

Results

We concluded that public and private adaptation are both critical components of Miami Beach’s overall resilience. The benefits exceed Å·²©ÓéÀÖ costs for Å·²©ÓéÀÖ resilience investments we analyzed.

Citywide investments of at least $2 billion for road elevation and storm protection would be cost beneficial. Investments could lead to a 4.9% to 14.1% increase in residential property value per foot of nearby road elevation, and an 8.5% to 11.5% increase in residential property value per foot of parcel elevation.

The city’s proposed public infrastructure improvements reduce Å·²©ÓéÀÖ flood risk to individual properties. However, Å·²©ÓéÀÖ city’s investments will not remove all flood risk and Å·²©ÓéÀÖre are a range of cost beneficial options that property owners can take to furÅ·²©ÓéÀÖr manage Å·²©ÓéÀÖir risks.

This study developed a methodology that can be applied to oÅ·²©ÓéÀÖr communities to help Å·²©ÓéÀÖm understand Å·²©ÓéÀÖ economic benefits and costs of resilience investments.

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