Literature DB >> 33520598

Reviewing qualitative research approaches in the context of critical infrastructure resilience.

R Cantelmi1,2, G Di Gravio1, R Patriarca1.   

Abstract

Modern societies are increasingly dependent on the proper functioning of critical infrastructures (CIs). CIs produce and distribute essential goods or services, as for power transmission systems, water treatment and distribution infrastructures, transportation systems, communication networks, nuclear power plants, and information technologies. Being resilient becomes a key property for CIs, which are constantly exposed to threats that can undermine safety, security, and business continuity. Nowadays, a variety of approaches exist in the context of CIs' resilience research. This paper provides a state-of-the-art review on the approaches that have a complete qualitative dimension, or that can be used as entry points for semi-quantitative analyses. The study aims to uncover the usage of qualitative research methods through a systematic review based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The paper identifies four principal dimensions of resilience referred to CIs (i.e., techno-centric, organisational, community, and urban) and discusses the related qualitative methods. Besides many studies being focused on energy and transportation systems, the literature review allows to observe that interviews and questionnaires are most frequently used to gather qualitative data, besides a high percentage of mixed-method research. The article aims to provide a synthesis of literature on qualitative methods used for resilience research in the domain of CIs, detailing lessons learned from such approaches to shed lights on best practices and identify possible future research directions.
© The Author(s) 2021.

Entities:  

Keywords:  Critical infrastructure; Infrastructure resilience; Resilience engineering; Resilience management; Review

Year:  2021        PMID: 33520598      PMCID: PMC7826495          DOI: 10.1007/s10669-020-09795-8

Source DB:  PubMed          Journal:  Environ Syst Decis        ISSN: 2194-5411


  7 in total

1.  The qualitative content analysis process.

Authors:  Satu Elo; Helvi Kyngäs
Journal:  J Adv Nurs       Date:  2008-04       Impact factor: 3.187

2.  A quantitative assessment of institutions of higher education disaster preparedness and resilience.

Authors:  Stephen A Murphy; Jeff Brown; Arti Shankar; Maureen Lichtveld
Journal:  J Emerg Manag       Date:  2019 May/Jun

3.  Disaster Impact on Impoverished Area of US: An Inter-Professional Mixed Method Study.

Authors:  Linda H Banks; Lisa A Davenport; Meghan H Hayes; Moriah A McArthur; Stacey N Toro; Cameron E King; Hazel M Vazirani
Journal:  Prehosp Disaster Med       Date:  2016-09-19       Impact factor: 2.040

4.  Towards a Comparable Quantification of Resilience.

Authors:  Johannes Ingrisch; Michael Bahn
Journal:  Trends Ecol Evol       Date:  2018-02-21       Impact factor: 17.712

5.  Tiered Approach to Resilience Assessment.

Authors:  Igor Linkov; Cate Fox-Lent; Laura Read; Craig R Allen; James C Arnott; Emanuele Bellini; Jon Coaffee; Marie-Valentine Florin; Kirk Hatfield; Iain Hyde; William Hynes; Aleksandar Jovanovic; Roger Kasperson; John Katzenberger; Patrick W Keys; James H Lambert; Richard Moss; Peter S Murdoch; Jose Palma-Oliveira; Roger S Pulwarty; Dale Sands; Edward A Thomas; Mari R Tye; David Woods
Journal:  Risk Anal       Date:  2018-04-25       Impact factor: 4.000

Review 6.  Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic.

Authors:  Maureen S Golan; Laura H Jernegan; Igor Linkov
Journal:  Environ Syst Decis       Date:  2020-05-30

7.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

  7 in total
  1 in total

1.  Resilience in emergency management: Learning from COVID-19 in oil and gas platforms.

Authors:  R Cantelmi; R Steen; G Di Gravio; R Patriarca
Journal:  Int J Disaster Risk Reduct       Date:  2022-05-05       Impact factor: 4.842

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.