The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Disaster Resilience Indicators for Benchmarking Baseline Conditions
Abstract
There is considerable federal interest in disaster resilience as a mechanism for mitigating the impacts to local communities, yet the identification of metrics and standards for measuring resilience remain a challenge. This paper provides a methodology and a set of indicators for measuring baseline characteristics of communities that foster resilience. By establishing baseline conditions, it becomes possible to monitor changes in resilience over time in particular places and to compare one place to another. We apply our methodology to counties within the Southeastern United States as a proof of concept. The results show that spatial variations in disaster resilience exist and are especially evident in the rural/urban divide, where metropolitan areas have higher levels of resilience than rural counties. However, the individual drivers of the disaster resilience (or lack thereof)social, economic, institutional, infrastructure, and community capacitiesvary widely.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Community Resilience as a Metaphor, Theory, Set of Capacities, and Strategy for Disaster Readiness
Norris, F. H., Stevens, S. P., Pfefferbaum, B., Wyche, K. F., & Pfefferbaum, R. L. (2008) · American Journal of Community Psychology · doi:10.1007/s10464-007-9156-6 · Cited by 5,476
Cited by
Defining urban resilience: A review
Meerow, S., Newell, J. P., & Stults, M. (2016) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2015.11.011 · Cited by 3,276
Social Capital and Community Resilience
Aldrich, D. P., & Meyer, M. A. (2015) · American Behavioral Scientist · doi:10.1177/0002764214550299 · Cited by 2,331
Food system resilience: Defining the concept
Tendall, D. M., Joerin, J., Kopainsky, B., Edwards, P., Shreck, A., Le, Q. B., Kruetli, P., Grant, M., & Six, J. (2015) · Global Food Security · doi:10.1016/j.gfs.2015.08.001 · Cited by 962
Urban resilience: A conceptual framework
Ribeiro, P. J. G., & Pena Jardim Gonçalves, L. A. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101625 · Cited by 758
The landscape of disaster resilience indicators in the USA
Cutter, S. L. (2016) · Natural Hazards · doi:10.1007/s11069-015-1993-2 · Cited by 719
Self-citation
Metadata
- Authors
- Cutter, S. L., Burton, C. G., & Emrich, C. T.
- Venue
- Journal of Homeland Security and Emergency Management
- Publisher
- Walter de Gruyter GmbH
- Published
- 2010-08-04
- Volume
- 7
- Issue
- 1
- ISSN
- 1547-7355 (ISSN-L)
- OpenAlex
- W2135555519
- Cited by
- 1,812
- References
- 1
- FWCI
- 90.78
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Disaster Resilience Indicators for Benchmarking Baseline Conditions. https://app.cochat.ai/papers/10.2202/1547-7355.1732
- The paper
- Cutter, S. L., Burton, C. G., & Emrich, C. T. (2010). Disaster Resilience Indicators for Benchmarking Baseline Conditions. Journal of Homeland Security and Emergency Management. https://doi.org/10.2202/1547-7355.1732
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
