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Application of GIS and IOT Technology-Based MCDM for Disaster Risk Management: Methods and Case Study
Faculty
Computer Science
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Safa Al-Saeed Mohammed Abdul Karim
Staff Zu Site
Abstract In Staff Site
Journal:
Decision Making: Applications in Management and Engineering https://www.dmame-journal.org/index.php/dmame
Volume:
7
Keywords :
Application , , , , Technology-Based MCDM , Disaster Risk Management:
Abstract:
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.
Author Related Publications
Safa Al-Saeed Mohammed Abdul Karim, "Modeling Land Use and Land Cover Change with GIS and Remote Sensing", 2024
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Safa Al-Saeed Mohammed Abdul Karim, "Internet of Things and Intelligent Spatial Multi-Objective Optimization for Disaster Management", 2024
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Department Related Publications
Saber Mohamed, "Online Generation of Trajectories for Autonomous Vehicles using a Multi-Agent System", IEEE, 2014
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Saber Mohamed, "Parameters Adaptation in Differential Evolution", IEEE, 2012
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Eman samir hasan sayed, "Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems", Springer Berlin Heidelberg, 2012
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Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014
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Eman samir hasan sayed, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 2014
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