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Search Publications by: Maria Dillard (Fed)

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Displaying 1 - 16 of 16

Validating commonly-used indicators for community resilience measurement

January 25, 2023
Author(s)
Donghwan Gu, Maria Dillard, Michael Gerst, Jarrod Loerzel
This paper quantitatively examines indicators frequently used to measure community resilience. Based on existing frameworks and methodologies rooted in multiple disciplines, a set of 18 indicators were identified as being most prevalent. A data-driven

An Analysis of an Inventory of Community Resilience Frameworks

September 29, 2021
Author(s)
Jarrod Loerzel, Maria Dillard
This NIST Data Article documents the development and analysis of an inventory of 56 community resilience frameworks. This article represents the second of three products to be released as part of the foundational work to catalog, analyze, and document

Chapter 3: Engaging Communities and Stakeholders in Implementing NNBF

July 1, 2021
Author(s)
Maria Dillard, Cath Brooks, Helen Fisher, Hans Pietersen, Alwin Nijhuis, Anita van Breda, Susan Durden
Engagement is an important and necessary part of all planning and decision-making for any infrastructure project. Engagement is included at each step of the natural and nature-based features (NNBF) framework (steps detailed in Chapter 2) because we assume

Aprendiendo de los impactos del huracan Maria en Puerto Rico: Un informe de progreso

January 19, 2021
Author(s)
Joseph Main, Maria K. Dillard, Erica D. Kuligowski, Benjamin Davis, Jazalyn D. Dukes, Kenneth W. Harrison, Jennifer Helgeson, Katherine J. Johnson, Marc L. Levitan, Judith Mitrani-Reiser, Scott J. Weaver, DongHun Yeo, Luis D. Bermudez, Joel Cline, Thomas Kirsch
El 20 de septiembre de 2017, el huracán María tuvo un impacto devastador en gran parte de Puerto Rico, dañando edificios de los que dependían sus comunidades para atención médica, seguridad, comunicaciones, educación, negocios y más. Para comprender mejor

Learning from Hurricane Maria's Impacts on Puerto Rico: A Progress Report

January 19, 2021
Author(s)
Joseph Main, Maria K. Dillard, Erica D. Kuligowski, Benjamin Davis, Jazalyn D. Dukes, Kenneth W. Harrison, Jennifer Helgeson, Katherine J. Johnson, Marc L. Levitan, Judith Mitrani-Reiser, Scott J. Weaver, DongHun Yeo, Luis D. Bermudez, Joel Cline, Thomas Kirsch
On September 20, 2017, Hurricane Maria devastated much of Puerto Rico, damaging buildings that its communities relied upon for medical care, safety, communications, education, business, and more. To better understand failures in buildings and

Community Resilience-Focused Technical Investigation of the 2016 Lumberton, North Carolina Flood: An Interdisciplinary Approach

August 1, 2020
Author(s)
John W. van de Lindt, Walter G. Peacock, Judith Mitrani-Reiser, Nathanael Rosenheim, Derya Deniz, Maria Dillard, Tori Tomiczek, Andrew Graettinger, Patrick Crawford, Kenneth W. Harrison, Andre Barbosa, Jennifer Tobin, Jennifer Helgeson, Lori Peek, Mehrdad Memari, Elaina Sutley, Sara Hamideh, Donghwan Gu, Stephen Cauffman, Juan Fung
In early October 2016, Hurricane Matthew crossed North Carolina (NC) as a Category 1 storm, with some areas receiving 0.38 m to 0.46 m (15 to 18 in) of rainfall on already saturated soil. The National Institute of Standards and Technology (NIST) funded

Flood Performance and Dislocation Assessment for Lumberton Homes after Hurricane Matthew

May 26, 2019
Author(s)
Derya Deniz, Elaina Sutley, John W. van de Lindt, Walter G. Peacock, Nathanael Rosenheim, Donghwan Gu, Judith Mitrani-Reiser, Maria Dillard, Maria Koliou, Sara Hamideh
In order to better understand community resilience following a disaster, a multi-disciplinary research team from the Center of Excellence (CoE) for Risk-Based Community Resilience Planning and the National Institute of Standards and Technology (NIST)

Integrative Modeling of Housing Recovery as a Physical, Economic, and Social Process

May 26, 2019
Author(s)
Elaina Sutley, Sara Hamideh, Maria Dillard, Donghwan Gu, Kijin Seong, John W. van de Lindt
This paper presents a set of four simultaneous housing recovery states: RS0 no recovery progress; RS1 repair completion; RS2 re-occupancy; RS3 restored stability; RS4 restored accessibility. The recovery states are aimed at capturing the complex

Modeling Community Resilience: Update on the Center for Risk-Based Community Resilience Planning and the Computational Environment IN-CORE

November 15, 2018
Author(s)
John W. van de Lindt, Bruce Ellingwood, Therese P. McAllister, Paolo Gardoni, Daniel Cox, Walter G. Peacock, Harvey Cutler, Maria Dillard, Jong Lee, Lori Peek, Judith Mitrani-Reiser
Community resilience is often defined as the ability of a community to prepare for, absorb, and recover rapidly from a hazard event. In 2015, the U.S. National Institute of Standards and Technology (NIST) funded the Center for Risk-Based Community

The Lumberton, North Carolina Flood of 2016: A Community Resilience Focused Technical Investigation

October 29, 2018
Author(s)
John W. van de Lindt, Walter G. Peacock, Judith Mitrani-Reiser, Nathanael Rosenheim, Derya Deniz, Maria Dillard, Tori Tomiczek, Maria Koliou, Andrew Graettinger, Patrick Crawford, Kenneth W. Harrison, Andre Barbosa, Jennifer Tobin, Jennifer Helgeson, Lori Peek, Mehrdad Memari, Elaina Sutley, Sara Hamideh, Donghwan Gu, Stephen A. Cauffman, Juan Fung
In early October 2016 Hurricane Matthew crossed North Caroline as a category 1 storm with some areas receiving 15-18 inches of rainfall on already saturated soil. The NIST-funded Center for Risk-Based Community Resilience Planning teamed with researchers

A Critical Appraisal of Community Resilience Studies: Progress and Challenges

January 8, 2018
Author(s)
Maria Koliou, John W. van de Lindt, Bruce Ellingwood, Maria Dillard, Harvey Cutler, Therese P. McAllister
Community resilience, which has been defined as the ability to prepare for and recover from disruptive hazard events, has been addressed across multiple disciplines including environmental sciences, engineering, sociology, psychology and economics

Developing an Assessment Methodology for Community Resilience

August 21, 2017
Author(s)
Maria Dillard
Communities can be characterized as complex systems, with resilience as an emergent property. Complex systems are systems composed of interconnected parts that exhibit emergent properties that arise from the collective and cannot be derived from the