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    Selecting Longitudinal Community Outcomes for Resilience Indicator Validation 

    Source: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 003:;page 04025032-1
    Author(s): Donghwan Gu; Maria Dillard; Michael Gerst
    Publisher: American Society of Civil Engineers
    Abstract: Having a scientifically grounded set of community resilience indicators has been a long-sought goal in multiple fields of study and practice. Community resilience is a complex system consisting of emergent properties. ...
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    Importance of Households in Business Disaster Recovery 

    Source: Natural Hazards Review:;2020:;Volume ( 021 ):;issue: 004
    Author(s): Maria Watson; Yu Xiao; Jennifer Helgeson; Maria Dillard
    Publisher: ASCE
    Abstract: The authors seek to contribute to the understanding of post-disaster community interdependencies by examining the recovery linkages between businesses and households. Specifically, this research looks to identify the ...
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    Methodological Recommendations for Content Validation of Community Resilience Indicators 

    Source: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 002:;page 04025010-1
    Author(s): Michael D. Gerst; Maria Dillard; Jarrod Loerzel
    Publisher: American Society of Civil Engineers
    Abstract: Community resilience indicators increasingly have been used in disaster resilience planning and decision making. However, the methods used to validate that such indicators measure what they claim to measure continue to be ...
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    Community Resilience-Focused Technical Investigation of the 2016 Lumberton, North Carolina, Flood: An Interdisciplinary Approach 

    Source: Natural Hazards Review:;2020:;Volume ( 021 ):;issue: 003
    Author(s): John W. van de Lindt; Walter Gillis Peacock; Judith Mitrani-Reiser; Nathanael Rosenheim; Derya Deniz; Maria Dillard; Tori Tomiczek; Maria Koliou; Andrew Graettinger; P. Shane Crawford; Kenneth Harrison; Andre Barbosa; Jennifer Tobin; Jennifer Helgeson; Lo
    Publisher: ASCE
    Abstract: In early October 2016, Hurricane Matthew crossed North Carolina as a Category 1 storm, with some areas receiving 0.38–0.46 m (15–18 in.) of rainfall on already saturated soil. The NIST-funded Center for Risk-Based ...
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