Analysis of risk and disaster reduction strategies in South American countries

Marcillo-Delgado, Juan C.; Alvarez-Garcia, Alicia; Carrillo, Àgueda García

doi:10.1016/j.ijdrr.2021.102363

Cited by 13 publications

(9 citation statements)

References 54 publications

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“…Previous research underlined the use of MCA on data extracted from literature by text mining approach [83][84][85][86][87], as well as the stratification of the created data set [88][89][90]. In contrast, subset MCA would be proposed in case of analyzing only a set of categories or variables [91,92].…”

Section: Analysis Of the Measures And Flood Management Extracted From The Literaturementioning

confidence: 99%

Non-Structural Flood Management in European Rural Mountain Areas—Are Scientists Supporting Implementation?

et al. 2021

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Mountain areas are highly exposed to flood risks. The latter are increasing in the context of climate change, urbanization, and land use changes. Non-structural approaches such as nature-based solutions can provide opportunities to reduce the risks of such natural hazards and provide further ecological, social, and economic benefits. However, few non-structural flood mitigation measures are implemented in rural mountain areas so far. The objective of this paper is to investigate if the scientific boundaries limit the implementation of non-structural flood management in rural mountain areas. In the study, we statistically analyzed the knowledge about flood management through a systematic literature review and expert surveys, with a focus on European rural mountain areas. Both methods showed that scientific knowledge is available for decision makers and that nature-based solutions are efficient, cost-effective, multifunctional, and have potential for large-scale implementation.

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Section: Analysis Of the Measures And Flood Management Extracted From The Literaturementioning

confidence: 99%

Non-Structural Flood Management in European Rural Mountain Areas—Are Scientists Supporting Implementation?

et al. 2021

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“…However, compared to disaster management, less progress has been made in DRR whether in preventing risk, addressing underlying drivers of disasters [ 9 ], or strengthening resilience to risk [ 10 ]. This lack of progress is multifaceted, but includes poor governance and political barriers as some of the key challenges preventing better implementation of these types of DRR frameworks.…”

Section: Introductionmentioning

confidence: 99%

“…Prioritizing action further upstream in DRR activities can be even more politically conflicting than traditional preparedness efforts. Because the benefits may take years to realize, investment in DRR is often seen as financially irresponsible and less of an immediate priority, especially for policymakers [ 10 , 16 , 17 ]. Globally, DRR has been underutilized, such as in the United States [ 18 ], India [ 19 ], Australia [ 20 ], and Pakistan [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…Beyond the lack of DRR implementation, there is also a lack of systematized DRR categorization [ 10 , 24 ]. The following paragraphs explain two current DRR categorization systems and argue for a need for more systematized categorization of DRR strategies.…”

Section: Introductionmentioning

confidence: 99%

“…DRR strategies have not been adopted extensively and in instances where they have been, the strategies show a lack of coherence between the current categorization systems, despite that balanced and comprehensive DRR may lead to sustainable and effective interventions [ 10 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

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Classifying disaster risk reduction strategies: conceptualizing and testing a novel integrated approach

Dimitrova,

Snair

2024

Global Health

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Background Although disaster risk reduction (DRR) addresses underlying causes and has been shown to be more cost-effective than other emergency management efforts, there is lack of systematized DRR categorization, leading to insufficient coherence in the terminology, planning, and implementation of DRR. The aim of this study was to conceptualize and test a novel integrated DRR framework that highlights the intersection between two existing classification systems. Methods Grounded theory was used to conceptualize a novel DRR framework. Next, deductive conceptual content analysis was used to categorize interventions from the 2019 Cities100 Report into the proposed DRR framework. The term “connection” indicates that an intervention can be categorized into a particular section of the novel integrated approach. A “connection” was determined to be present when the intervention description stated an explicit connection to health and to the concept within one of the categories from the novel approach. Further descriptive statistics were used to give insight into the distribution of DRR interventions across categories and into the application of the proposed framework. Results The resulting framework contains nine intersecting categories: “hazard, prospective”, “hazard, corrective”, “hazard, compensatory”, “exposure, prospective”, “exposure, corrective”, “exposure, compensatory”, “vulnerability, prospective”, “vulnerability, corrective”, and “vulnerability, compensatory”. The thematic analysis elucidated trends and gaps in the types of interventions used within the 2019 Cities100 Report. For instance, exposure-prospective, exposure-compensatory, and vulnerability-compensatory were the most under-utilized strategies, accounting for only 3% of the total interventions. Further descriptive statistics showed that upper middle-income countries favored “hazard, corrective” strategies over other DRR categories while lower middle-income countries favored “exposure, corrective” over other DRR strategies. Finally, European cities had the highest percentage of DRR connections (51.39%) compared to the maximum possible DRR connections, while African cities had the lowest percentage of DRR connections (22.22%). Conclusions The study suggests that the proposed DRR framework could potentially be used to systematically evaluate DRR interventions for missing elements, aiding in the design of more equitable and comprehensive DRR strategies.

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The Use DInSAR Technique for the Study of Land Subsidence Associated with Illegal Mining Activities in Zaruma – Ecuador, a Cultural Heritage Cite

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Ammirati

Khalili

et al. 2022

Lecture Notes in Civil Engineering

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Analysis of risk and disaster reduction strategies in South American countries

Cited by 13 publications

References 54 publications

Non-Structural Flood Management in European Rural Mountain Areas—Are Scientists Supporting Implementation?

Non-Structural Flood Management in European Rural Mountain Areas—Are Scientists Supporting Implementation?

Classifying disaster risk reduction strategies: conceptualizing and testing a novel integrated approach

The Use DInSAR Technique for the Study of Land Subsidence Associated with Illegal Mining Activities in Zaruma – Ecuador, a Cultural Heritage Cite

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