Fog-inspired framework for emergency rescue operations in post-disaster scenario

Saini, Kanika; Kalra, Sheetal; Sood, Sandeep K.

doi:10.1007/s11227-023-05475-x

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…GIS is an essential tool in disaster management because it can be used to map areas prone to disasters, analyse their vulnerability and identify critical infrastructures that may be affected [46,47]. GIS can also be used to monitor the spread of disasters and support search and rescue operations by providing real-time updates on affected areas and routes for evacuation [48]. Moreover, the use of GIS facilitates effective mapping and visualisation of disaster-affected areas, which provides decision makers with vital information for resource allocation [49,50].…”

Section: Supporting Techniques For Disaster Managementmentioning

confidence: 99%

Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study

AbdelAziz,

Eldrandaly,

Al-Saeed

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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This study proposes a two-phase framework to enhance disaster management strategies for flooding using Geographic Information System (GIS) and Internet of Things (IoT) real-time data obtained using drones. The first phase aims to predict the governorate most prone to flooding using GIS and four forecasting models. The second phase involves selecting optimal locations for drone takeoff and landing using GIS with multi-criteria decision making. The neutrosophic ordinal priority approach is used to weight the criteria for selecting the best locations. A case study from the Egyptian Mediterranean Coast is used to measure the effectiveness and applicability of the framework. Results indicate that the Port Said governorate is the most vulnerable to flooding, and the top 10 suitable sites for drone takeoff and landing are suggested for this governorate. The limitations of the case study are discussed, such as data availability and reliability, as well as potential biases in the methodology. This study suggests future research directions to address these limitations and enhance the effectiveness of the proposed framework. Overall, this study contributes to the field of disaster risk management by providing a practical and innovative approach to enhance disaster preparedness and response using GIS and IoT technologies.

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