University of Oulu

Sabrina Scherzer, Päivi Lujala, Jan Ketil Rød, A community resilience index for Norway: An adaptation of the Baseline Resilience Indicators for Communities (BRIC), International Journal of Disaster Risk Reduction, Volume 36, 2019, 101107, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2019.101107

A community resilience index for Norway : an adaptation of the baseline resilience indicators for communities (BRIC)

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Author: Scherzer, Sabrina1; Lujala, Päivi2; Rød, Jan Ketil1
Organizations: 1Department of Geography, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
2Geography Research Unit, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2019102534764
Language: English
Published: Elsevier, 2019
Publish Date: 2021-03-09
Description:

Abstract

In recent years, building disaster resilient communities has become a primary objective of crisis management institutions across the globe, as a resilient community is likely to suffer fewer losses and recover more quickly when faced with an adverse event. However, in order to strengthen a community’s resilience, one needs to first establish a baseline, an initial measure that can be used to compare communities and to track changes over time. This article presents such a baseline, a community resilience index, for Norway. Following the approach outlined by the Baseline Resilience Indicators for Communities (BRIC), the article constructs a hierarchical index, using 47 indicators divided into six subdomains, to describe the resilience capacities of the Norwegian municipalities. The results show considerable variations in the relative levels of resilience. Most markedly, there seems to be a north-south divide; i.e., many of the northern municipalities having lower levels of overall resilience and many of the southern municipalities having higher levels of overall resilience. These initial observations are further analysed by deconstructing the overall index into its components to identify driving forces behind the overall resilience score. To validate the results, the resilience scores are compared to previously established vulnerability metrics. The resilience and vulnerability metrics are then used to identify potential low-risk (high resilience, low vulnerability) and high-risk (low resilience, high vulnerability) areas across Norway.

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Series: International journal of disaster risk reduction
ISSN: 2212-4209
ISSN-E: 2212-4209
ISSN-L: 2212-4209
Volume: 36
Article number: 101107
DOI: 10.1016/j.ijdrr.2019.101107
OADOI: https://oadoi.org/10.1016/j.ijdrr.2019.101107
Type of Publication: A1 Journal article – refereed
Field of Science: 519 Social and economic geography
Subjects:
Funding: This work was supported by the Research Council of Norway (grant numbers: RCN 235490, RCN 250028).
Copyright information: © 2019 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
  https://creativecommons.org/licenses/by-nc-nd/4.0/