Enhancing Florida Built Environment Resilience: Resilience Inference Performance Level (RIPL) Report & Resources

This report on Enhancing Florida Built Environment Resilience was funded by the Florida Office of Insurance Regulation. The Resilience Inference Performance Level (RIPL) report and its resources offer a preliminary analysis of how building materials and smart home technologies can work together to improve the resilience of single-family homes against water intrusion hazards. The smart home technologies reviewed include systems for preventing water intrusion, enabling automatic utility shutoffs, and stabilizing foundations.

The primary objective of the RIPL report and resources is to assess the potential of materials, assemblies, and smart home technologies appropriate for residential construction to mitigate risk and reduce insurance losses for homeowners. Since insurance premiums are influenced by multiple factors, efforts to enhance resilience must be evaluated in the context of how these premiums are calculated. RIPL resources are designed to provide reliable decision support tools that support practical built environment resilience measures that may potentially lower homeowners’ insurance premiums.

Purpose

FIBER’s Resilience Inference Performance Level (RIPL) resources provide a comprehensive, systems-based framework for assessing and enhancing the resilience of residential buildings. Developed upon the Sustainable Adaptive Material Performance Level (SAMPL™) platform, RIPL identifies key preventive factors, particularly the selection and combination of building materials and finishes, that can substantially mitigate water intrusion risk due to natural hazards in residential construction. It further evaluates the strategic deployment of Smart Home Technologies, applying systems engineering principles adapted from safety-critical domains. Together, these resources enable Florida residents to make informed, evidence-based decisions aimed at improving the resilience and overall performance of their homes within the built environment.

Benefits & Features

RIPL offers several unique benefits that make it an essential resource for improving the resilience of homes. It connects risk-reducing and resilience-boosting strategies with potential insurance savings, giving homeowners practical reasons to adopt these measures. RIPL uses a clear, requirements-driven approach based on proven quality control and systems continuity practices, ensuring its recommendations are both thorough and relevant. By taking a holistic view, RIPL brings together material performance and smart technologies responsiveness capabilities into one comprehensive framework. With easy-to-use resources and clear, measurable performance metrics for building materials and smart home features, RIPL helps homeowners and builders make informed, data-driven decisions and continuously improve home resilience.

Risk Analysis Bowtie Model

Lisa Sundahl Platt, Ph.D.

Principal Investigator

Florida Institute for Built Environment Resilience (FIBER) Research Faculty

Assistant Professor

Interior Design

University of Florida

Jeff Carney

Co-Principal Investigator

Director, Florida Institute for Built Environment Resilience (FIBER)

Associate Professor

Architecture

University of Florida

Arezoo Zeinali

Arezoo Zeinali

Graduate Research Assistant

FIBER Design Dynamics Lab GRA

Ph.D. Candidate

Interior Design

University of Florida

Lyndsey Weisman

Graduate Research Assistant

Masters Student

Architecture

University of Florida

Emma Hitchcock

Emma Hitchcock

Research Support Personnel

Undergraduate Student

Interior Design

University of Florida

Riley Barker

Riley Barker

Research Support Personnel

Undergraduate Student

Architecture

University of Florida

Patricia Born, Ph.D.

Patricia Born, Ph.D.

Insurance Industry Subject Matter Expert and Contributor to RIPL Report

Midyette Eminent Scholar in Risk Management/Insurance

Risk Management/Insurance, Real Estate and Legal Studies

Florida State University

Introduction & Applications

The resilient design decision-support content on this site provides practical guidance for selecting resilient building materials. Materials are organized by key categories—foundation, framing, exterior materials, interior materials, and finishes (like flooring, paint, wallcoverings, and subflooring), and roofing—with thumbnail images and brief overviews highlighting important considerations for designing homes that better withstand hazards.

These resources offer a comprehensive selection of material options and evaluation criteria, enabling Florida residents to make informed, data-driven decisions tailored to their unique structural requirements—without imposing a one-size-fits-all approach.

SAMPL™

The Sustainable Adaptive Material Performance Level system (SAMPL™) is an innovative digital platform that helps users choose building materials based on real-world risks specific to their location. Unlike traditional databases, SAMPL offers an interactive experience where users can explore and compare how different materials perform under natural hazard scenarios. This data-driven approach empowers safer, more adaptable, and sustainable design decisions, ultimately improving housing health and safety. Currently being enhanced through ongoing research, SAMPL is built to guide smarter material choices and assess their impact on resilience, especially in environments where design quality is critical. More than just a rating tool, SAMPL acts as a comprehensive resource for design intelligence and risk management, ensuring every material choice supports healthier, safer, and more sustainable environments.

Pricing Analytics & Relevance

Evaluating the cost-benefit of building and finish materials is critical for informed decisions—especially when selecting options that resist moisture intrusion from natural hazards. Comparing upfront costs with long-term savings helps shift the focus from immediate expenses to overall value.

High-performance, moisture-resistant materials can reduce structural damage, mold, and costly repairs after hurricanes or floods. They also help preserve property value, protect occupant health, and may lower insurance premiums and disruption-related costs.

Understanding the return on investment enables homeowners, builders, and developers to justify initial costs by quantifying avoided losses and increased durability. This supports more resilient, sustainable material choices that protect people and property in a changing climate.

Resilient Design Resource Summaries

Click the images on this page to download one-page resources that provide helpful snapshots for understanding the application of RIPL tools and insights. These include:

  • A case study on Moen’s smart water technologies
  • A focused summary of how water intrusion impacts material performance
  • An overview of smart home technologies for resilience

Fuzzy App

Fuzzy Inference Models support decision-making using rules that mimic human common-sense reasoning rather than relying on exact probabilities—which are often hard to determine in complex situations. This approach enables computers to interpret information described by performance levels, much like how people naturally assess situations. For example, a rule might state: “If the housing material resists moisture and smart home technologies respond effectively to water entry, then the home is resilient to moisture damage.” By applying fuzzy inference, RIPL can more accurately estimate moisture intrusion risk and evaluate a home’s resilience by considering the combined performance of building materials and smart technologies that help mitigate damage after hazard events.

System Dynamics – Susceptible, Impacted, and Recovered (SIR) Model

Finding practical solutions in complex systems can be challenging because results often come from the way many connected parts interact—sometimes in ways that are unpredictable or surprising. As more variables are involved, even experts can find it difficult to rely on intuition alone to predict what will happen.

System Dynamics is a powerful tool that helps visualize how these parts interact over time, making it easier to make informed, data-driven decisions. When it comes to housing resilience, this approach shows how both the materials used, and outside factors work together to shape outcomes. It also helps spot potential problems early and leads to better design choices.

System Dynamics modeling has proven effective in assessing urban resilience to natural hazards, while the SIR model has been recognized in actuarial science for evaluating health insurance premiums. The innovative integration of these approaches within the RIPL model enables comprehensive comparisons of resilience strategies, considering the complexity and dynamic nature of built environments. By uniting actuarial science with built environment resilience assessment, the RIPL model provides insurance regulators with a robust, integrated tool for risk evaluation and informed policy development.

References: 

  • Feng, R., & Garrido, J. (2011). Actuarial Applications of Epidemiological Models. North American Actuarial Journal, 15(1), 112–136. https://doi.org/10.1080/10920277.2011.10597612
  • Feofilovs, M., & Romagnoli, F. (2021). Dynamic assessment of urban resilience to natural hazards. International Journal of Disaster Risk Reduction, 62, 102328. https://doi.org/10.1016/j.ijdrr.2021.102328

Click the image to explore a RIPL System Dynamics model, which uses a modified Susceptible–Impacted–Recovered (SIR) framework to demonstrate how high-performing materials and smart technologies can work together to strengthen homes against natural hazards.

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