Drivers of changing community resilience.
Saved in:
| Title: | Drivers of changing community resilience. |
|---|---|
| Authors: | Derakhshan, Sahar1 (AUTHOR) sderakhshan@cpp.edu, Habets, Margot2 (AUTHOR), Cutter, Susan L.2 (AUTHOR) |
| Source: | Natural Hazards. May2025, Vol. 121 Issue 8, p9705-9729. 25p. |
| Subject Terms: | *Internet access, *Community change, *Longitudinal method, *Qualitative research |
| Abstract: | Understanding how community resilience changes over time and the drivers of those changes requires longitudinal studies to test components of resilience within (1) spatio-temporal contexts as well as (2) a conceptual framework of what is changeable. In this study, first, we look at the temporal and spatial patterns of change in community resilience scores, using the established Baseline Resilience Indicators for Communities (BRIC) through three snapshots in 2010, 2015, and a newly calculated 2020 for the United States. Second, we examine the actionable and contextual drivers of improved resilience which can set goals for communities. While areas with the highest and lowest resilience scores remain consistent, on average, resilience scores improved between 2010 and 2015 and 2010–2020, though they decreased between 2015 and 2020. Our findings suggest infrastructural capital is more explanatory in terms of changes in resilience scores. Finally, health coverage and internet access were the highest individual actionable predictors of BRIC in 2010 and 2015 but less important in 2020, given the reduced variability in access from place to place. The observed changes are derived from the BRIC construction, variable constraints, and conceptual framework, thus further validations and qualitative studies are required to complement or contradict our findings. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 185810747 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Drivers of changing community resilience. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Derakhshan%2C+Sahar%22">Derakhshan, Sahar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sderakhshan@cpp.edu</i><br /><searchLink fieldCode="AR" term="%22Habets%2C+Margot%22">Habets, Margot</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cutter%2C+Susan+L%2E%22">Cutter, Susan L.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Natural+Hazards%22">Natural Hazards</searchLink>. May2025, Vol. 121 Issue 8, p9705-9729. 25p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Internet+access%22">Internet access</searchLink><br />*<searchLink fieldCode="DE" term="%22Community+change%22">Community change</searchLink><br />*<searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br />*<searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Understanding how community resilience changes over time and the drivers of those changes requires longitudinal studies to test components of resilience within (1) spatio-temporal contexts as well as (2) a conceptual framework of what is changeable. In this study, first, we look at the temporal and spatial patterns of change in community resilience scores, using the established Baseline Resilience Indicators for Communities (BRIC) through three snapshots in 2010, 2015, and a newly calculated 2020 for the United States. Second, we examine the actionable and contextual drivers of improved resilience which can set goals for communities. While areas with the highest and lowest resilience scores remain consistent, on average, resilience scores improved between 2010 and 2015 and 2010–2020, though they decreased between 2015 and 2020. Our findings suggest infrastructural capital is more explanatory in terms of changes in resilience scores. Finally, health coverage and internet access were the highest individual actionable predictors of BRIC in 2010 and 2015 but less important in 2020, given the reduced variability in access from place to place. The observed changes are derived from the BRIC construction, variable constraints, and conceptual framework, thus further validations and qualitative studies are required to complement or contradict our findings. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=185810747 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11069-025-07196-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 9705 Subjects: – SubjectFull: Internet access Type: general – SubjectFull: Community change Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Qualitative research Type: general Titles: – TitleFull: Drivers of changing community resilience. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Derakhshan, Sahar – PersonEntity: Name: NameFull: Habets, Margot – PersonEntity: Name: NameFull: Cutter, Susan L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0921030X Numbering: – Type: volume Value: 121 – Type: issue Value: 8 Titles: – TitleFull: Natural Hazards Type: main |
| ResultId | 1 |
