A review of required features for a disaster response system on top of a multi-criteria decision: a Brazilian perspective

Eckhardt, Daniel; Leiras, Adriana

doi:10.1590/0103-6513.20180007

Cited by 4 publications

(4 citation statements)

References 20 publications

(19 reference statements)

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“…So, unlike GIS-based AHP, integrate the fuzzy set theory with the AHP provides high flexibility and reliability in landslide susceptibility maps (Feizizadeh, Roodposhti, ankowski, & Thomas Blaschke, 2014) . Eckhardt, D., & Leiras, A. (2018) applied AHP to find out the most critical elements to be prioritized in developing a disaster response tool to figure out what should be in focus during the operational disaster response phase.…”

Section: Literature Reviewmentioning

confidence: 99%

A systematic literature review on multi-criteria decision making in disaster management

Manyaga¹,

Yasmin²,

Nilufer³

et al. 2020

IJBES

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This paper through a systematic literature review portrays the academic work that has been done in disaster management by applying multi-criteria decision making. This study reviews 36 academic articles that applied multi-criteria decision-making planning and management of natural disasters i.e. tsunami, floods, heavy rains, earthquake, land sliding, epidemic, pandemic, etc. This study finds out that lack of effective planning and management pre and post disasters is causing loss of human life, temporary migration of locals to safer places, loss of properties, and economic losses. Once the crisis is over, it requires efforts and additional finances to bring life to normal. There are regions where disasters are periodic such as floods in rivers or due to monsoon season. But with effective planning and pre-determined priorities, loss to human life can be mitigated. Disaster management departments need effective planning tools to forecast imminent disasters and prepare accordingly. This study is very relevant to the recent global pandemic COVID-19 that has caused human and economic losses and will leave footprints for the coming years and generations

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Section: Literature Reviewmentioning

confidence: 99%

A systematic literature review on multi-criteria decision making in disaster management

Manyaga¹,

Yasmin²,

Nilufer³

et al. 2020

IJBES

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“…With a focus on energy. The research by [39] analyzed the Brazilian Integrated Disasters Information System (S2iD) to provide qualification and transparency to the management of disasters in Brazil.…”

Section: Review Of Identified Related Workmentioning

confidence: 99%

Big Data for Natural Disasters in an Urban Railroad Neighborhood: A Systematic Review

2020

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Landslides and floods are among the most common disasters in Brazil and are responsible for losses on social, environmental, and economic scales, even resulting in deaths. Floods can negatively affect the structure and operations of a railway network, causing travel delays, train service cancellations, and major fines for the railway. The objective of this article is to conduct a bibliographic review of what is available in publications on natural disasters, particularly landslides and floods, big data techniques, and railroads, at international and national levels. A bibliometric analysis was carried out according to the “PRISMA Flow Diagram” guidelines. The analysis in this study was conducted through searches of the following reference databases: Scopus, Web of Science, Scielo, and Google Scholar. After the keyword search was completed, the absence of available data and references relating to Brazil was verified. This justified the development of this and other related papers, and the efforts necessary to turn these data into useful information for the managers of cities and environmental institutions. The aim of this study is to fill the gap in the research, focusing on Brazil, related to big data, smart cities, and natural disasters (particularly, landslides and floods), and to propose other papers that can be developed in this subject area.

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“…Fatalities from natural disasters are declining, while the destruction of infrastructure and other economic assets is growing [2]. Governments are taking more active measures throughout the entire disaster life cycle [3]. Researchers have shifted from focusing on individual disasters to assessments of scenarios that acknowledge the likelihood of cascading hazards.…”

Section: Introductionmentioning

confidence: 99%

“…A combination of available methods is necessary to properly evaluate the overall impact of a major natural disaster. Indeed, such an approach is critical to meeting the required scope of a disaster assessment [3]. In this paper, we rely on such a combined methodology to simulate economic impacts and include socio-economic resilience within a spatio-temporal risk assessment of a typhoon flood disaster.…”

Section: Introductionmentioning

confidence: 99%

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

Gao

Geddes

2020

Sustainability

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Guangdong Province is one of China’s largest and most developed regions. It is home to more than 113 million people and features unique geographical and climatic characteristics. Typhoons that pass through often result in heavy rainfall, which causes flooding. The region’s risk of typhoon and flood disasters, and the resulting indirect economic impacts, have not been fully assessed. The purpose of this paper is to introduce a method for assessing the spatial and temporal cumulative risk of typhoon-induced flood disasters, and the resulting indirect economic impacts, in order to deal with the uncertainty of disasters. We combined an analytic hierarchy process (AHP) and spatial analysis using a geographic information system (GIS) to produce a comprehensive weighted-risk assessment from three different aspects of disaster, vulnerability, and resilience, with 11 indicators. A new method for computing risk based on spatial and temporal cumulative patterns of typhoon-induced flood disasters was introduced. We incorporated those direct impacts into a computable general equilibrium (CGE) model to simulate indirect economic losses in alternative scenarios according to different risk levels. We found that the risk in the coastal area is significantly higher than that in the northern mountainous area. The coastal areas of western Guangdong, Pearl River Delta, and Chaoshan Plain face the greatest risk. Our results indicate that typhoon and flood disasters have negative effects on the real GDP, residents’ income, consumption, and several other macroeconomic indicators. We found differing disaster impacts across industrial sectors, including changes in the output, prices, and flow of labor among industries. Our estimates provide scientific support for environmental planning, spatial planning, and disaster-risk management in this important region. They are also of reference value for the development of disaster management strategies in similar climatic regions around the world.

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A review of required features for a disaster response system on top of a multi-criteria decision: a Brazilian perspective

Cited by 4 publications

References 20 publications

A systematic literature review on multi-criteria decision making in disaster management

A systematic literature review on multi-criteria decision making in disaster management

Big Data for Natural Disasters in an Urban Railroad Neighborhood: A Systematic Review

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

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