Literature DB >> 26987566

Developing indicators to measure post-disaster community recovery in the United States.

Jennifer Horney1, Caroline Dwyer2, Meghan Aminto2, Philip Berke3, Gavin Smith4.   

Abstract

Disaster recovery is a key capability of federal, state, and local government. To support this capability effectively practitioners need useful and validated metrics to document how well a community is recovering from a particular disaster. This study developed and categorised recovery indicators according to the Federal Emergency Management Agency (FEMA)'s Recovery Support Functions and Recovery Mission Area Core Capabilities through a literature review, an evaluation of the pre-disaster recovery plans for 87 coastal jurisdictions, and a case study of two communities (New Hanover County, North Carolina, and the City of Hoboken, New Jersey). Metrics identified in the literature were validated through the recovery plan review and the case study. The research team also identified sources for both baseline and current status data. Based on these findings, a user-friendly checklist for practitioners was established, which will be piloted with practice partners during a future disaster recovery initiative.
© 2017 The Author(s). Disasters © Overseas Development Institute, 2017.

Keywords:  disaster; metrics; recovery

Mesh:

Year:  2016        PMID: 26987566     DOI: 10.1111/disa.12190

Source DB:  PubMed          Journal:  Disasters        ISSN: 0361-3666


  3 in total

1.  Practitioner Approaches to Measuring Community Resilience: The Analysis of the Resilience of Communities to Disasters Toolkit.

Authors:  Aaron Clark-Ginsberg; Bernard McCaul; Isabelle Bremaud; Gabriela Caceres; Desire Mpanje; Sonny S Patel; Ronak B Patel
Journal:  Int J Disaster Risk Reduct       Date:  2020-06-23       Impact factor: 4.320

2.  An Epidemic Recovery Framework to Jump-start Analysis, Planning, and Action on a Neglected Aspect of Global Health Security.

Authors:  Monica Schoch-Spana
Journal:  Clin Infect Dis       Date:  2020-12-03       Impact factor: 9.079

3.  Specifying evacuation return and home-switch stability during short-term disaster recovery using location-based data.

Authors:  Cheng-Chun Lee; Charles Chou; Ali Mostafavi
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.