scholarly journals Community Disaster Resilience in the COVID-19 Outbreak: Insights from Shanghai’s Experience in China

2021 ◽  
Vol Volume 13 ◽  
pp. 3259-3270
Author(s):  
Liwei Zhang ◽  
Ji Zhao ◽  
Jixin Liu ◽  
Kelin Chen
Keyword(s):  
Disaster Resilience ◽  
Community Disaster Resilience

scholarly journals The Good, the Bad, and the Uncertain: Contributions of Volunteered Geographic Information to Community Disaster Resilience

2018 ◽  
Vol 6 ◽  
Author(s):  
Billy Tusker Haworth ◽  
Eleanor Bruce ◽  
Joshua Whittaker ◽  
Róisín Read
Keyword(s):  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Disaster Resilience ◽  
Community Disaster Resilience

Community Disaster Resilience

2016 ◽  
pp. 57-85
Author(s):  
T. Fitzpatrick
Keyword(s):  
Disaster Resilience ◽  
Community Disaster Resilience

scholarly journals Measuring Community Disaster Resilience in the Latvian Context: An Apply Case Using a Composite Indicator Approach

2017 ◽  
Vol 113 ◽  
pp. 43-50 ◽  
Author(s):  
Maksims Feofilovs ◽  
Francesco Romagnoli
Keyword(s):  
Composite Indicator ◽  
Disaster Resilience ◽  
Indicator Approach ◽  
Community Disaster Resilience

scholarly journals Measurement of Social Networks for Innovation within Community Disaster Resilience

2019 ◽  
Vol 11 (7) ◽  
pp. 1943 ◽  
Author(s):  
Joanna Wilkin ◽  
Eloise Biggs ◽  
Andrew Tatem
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Field Research ◽  
Disaster Resilience ◽  
Policy Planning ◽  
Critical Methodology ◽  
Research And Policy ◽  
Community Disaster Resilience

Disaster risk reduction (DRR) research has long recognised that social networks are a vital source of support during and after a shock. However, the quantification of this social support, primarily through its recognition as social capital, has proven problematic as there is no singular method for its measurement, invalidating the credibility of studies that try to correlate its effects with community disaster resilience. Within the wider resilience field, research that specifically utilises social networks as the focus of analysis is evolving. This paper provides a critical synthesis of how this developing discourse is filtering into community disaster resilience, reviewing empirical case studies from the Global South within DRR that use social network analysis and connectivity measurement. Our analysis of these studies indicates that a robust methodology utilising social network analysis is emerging, which offers opportunity for research cross-comparability. Our review also finds that without this bottom-up mapping, the implementation of top-down preparedness policy and procedures are likely to fail, resulting in the advocation of social network analysis as a critical methodology in future resilience research and policy planning.

scholarly journals Benchmarking Community Disaster Resilience in Nepal

2020 ◽  
Vol 17 (6) ◽  
pp. 1985 ◽  
Author(s):  
Sanam K. Aksha ◽  
Christopher T. Emrich
Keyword(s):  
Disaster Response ◽  
Census Data ◽  
Local Level ◽  
Recovery Period ◽  
Principal Component ◽  
Large Earthquake ◽  
Capital City ◽  
Disaster Resilience ◽  
Recovery Capacity ◽  
Community Disaster Resilience

Building disaster resilience is a stated goal of disaster risk reduction programs. Recent research emphasizes a need for a greater understanding of community disaster response and recovery capacity so that communities can absorb shocks and withstand severe conditions and progress through the recovery period more efficiently. Nepal, which is prone to a multitude of hazards and having recently experienced a large earthquake in 2015, provides a unique opportunity for exploring disaster resilience in the developing world context. To date, no study investigating community disaster resilience across the entire country of Nepal exists. This study quantifies disaster resilience at Nepal’s village level, primarily using census data. Guided by the Disaster Resilience of Place (DROP) model, 22 variables were selected as indicators of social, economic, community, infrastructure, and environmental resilience. Community resilience was assessed for 3971 village development communities (VDCs) and municipalities while using a principal component analysis. Additionally, a cluster analysis was performed to distinguish spatial patterns of resilience. Analyses reveal differential community disaster resilience across the country. Communities in the capital city Kathmandu and in the western and far western Hill are relatively resilient. While the entire Tarai region, which holds the greatest proportion of Nepal’s population, exhibits relatively low levels of resilience when compared to the rest of the county. The results from this analysis provide empirical evidence with the potential to help decision-makers in the allocation of scarce resources to increase resilience at the local level.

Foundations of community disaster resilience: well-being, identity, services, and capitals

2015 ◽  
Vol 14 (2) ◽  
pp. 103-121 ◽  
Author(s):  
Scott B. Miles
Keyword(s):  
Well Being ◽  
Disaster Resilience ◽  
Community Disaster Resilience

scholarly journals Building Community Disaster Resilience: Perspectives From a Large Urban County Department of Public Health

2013 ◽  
Vol 103 (7) ◽  
pp. 1190-1197 ◽  
Author(s):  
Alonzo Plough ◽  
Jonathan E. Fielding ◽  
Anita Chandra ◽  
Malcolm Williams ◽  
David Eisenman ◽  
...  
Keyword(s):  
Public Health ◽  
Disaster Resilience ◽  
Building Community ◽  
Community Disaster Resilience

Improving community disaster resilience through scorecard self-testing

2017 ◽  
Vol 26 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Salizar Mohamed Ludin ◽  
Paul Andrew Arbon
Keyword(s):  
Best Practice ◽  
Real Life ◽  
Community Context ◽  
Research Approach ◽  
Disaster Resilience ◽  
Content Type ◽  
North East ◽  
Action Research Approach ◽  
Self Testing ◽  
Community Disaster Resilience

Purpose The purpose of this paper is to develop government and community-level critical thinking, planning, and action for improving community disaster resilience by reporting a study that sought to evaluate the possibility of using the Torrens Resilience Institute Australian Community Disaster Resilience (CDR) Scorecard in the Malaysian context. Design/methodology/approach A participatory action research approach (done in 2015) encouraged key people involved in managing the 2014 Kelantan floods in Malaysia’s north-east to participate in discussions about, and self-testing of, the CDR Scorecard to measure and improve their communities’ disaster resilience. Findings The CDR Scorecard can be useful in the Malaysian community context, with some modifications. Self-testing revealed that participating communities need to strengthen their disaster resilience through better communication, cross-community cooperation, maximizing opportunities to compare their plans, actions and reactions with those reported in research publications, and aligning their community disaster management with reported best practice internationally while acknowledging the need to adapt such practice to local contexts. Research limitations/implications There is a need for a Malaysia-wide, simple-to-use, standardized disaster resilience scorecard to improve communities’ quality, self-efficacy, and capability to facilitate improved disaster resilience. Practical implications The adaptation of Australian CDR Scorecard for used in the country. Social implications Awareness of CDR level will enhance community and government preparedness, mitigation, and responses to flood disaster. Originality/value This project is the first of its kind in Malaysia. It provides an example of the possibilities of using the CDR Scorecard globally in the form of a context-specific toolkit. The engagement of key people in the community in self-testing the Scorecard provides genuine, on-the-ground, real life data, giving others an understanding of local assessment of each community’s resilience level.

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