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Assembly area risk assessment methodology for post-flood evacuation by integrated neutrosophic AHP-CODAS

Author

Listed:
  • Irem Sahmutoglu

    (Bartin University)

  • Alev Taskin

    (Yildiz Technical University)

  • Ertugrul Ayyildiz

    (Karadeniz Technical University)

Abstract

Floods are one of the natural disasters that affect human life materially and morally. There are various measures to prevent flood damage. The evaluation of flood risk and assembly points is of great importance for flood risk preparation and disaster mitigation measures. This study presents a two-stage framework with a multi-criteria decision-making (MCDM) technique for flood and assembly point risk assessment problems. First of all, with a detailed literature review, the main and sub-criteria affecting the flood and assembly points are determined. Each criterion is evaluated with expert opinion. Then, the importance weights of the criteria are determined with the Interval-Valued Neutrosophic Analytical Hierarchy Process (IVN-AHP) methodology. The ranking of the twelve assembly points in Bartın according to their risks is obtained by the Interval-Valued Neutrosophic Combinative Distance-based Assessment (IVN-CODAS) method. The proposed risk assessment methodology is applied to the Merkez district of Bartın, Turkey, which is frequently exposed to floods. In this context, a risk assignment hierarchy consisting of 6 main criteria as Topographic, Access, Hydrological, Sociological, Humanitarian Aid and Infrastructure and a total of 24 sub-criteria is constructed. The most important main criterion is determined as Topographic. Although ‘Topographic’ is the most important main criterion, considering that there is no significant difference between this criterion and the others, it is suggested that each criterion should be considered when determining the location of an assembly point. The results demonstrate that the most important sub-criterion is "Proximity to flood risk area" with a final weight of 0.076 among 24 criteria. The result of the proposed methodology is tested by sensitivity analysis. A comparative analysis is also done to verify the efficiency of the proposed methodology. The proposed integrated methodology is intended to be a useful tool for disaster risk assessments and to guide decision makers.

Suggested Citation

  • Irem Sahmutoglu & Alev Taskin & Ertugrul Ayyildiz, 2023. "Assembly area risk assessment methodology for post-flood evacuation by integrated neutrosophic AHP-CODAS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 1071-1103, March.
    • Handle: RePEc:spr:nathaz:v:116:y:2023:i:1:d:10.1007_s11069-022-05712-1
    DOI: 10.1007/s11069-022-05712-1
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    1. Quoc Bao Pham & Sk Ajim Ali & Elzbieta Bielecka & Beata Calka & Agata Orych & Farhana Parvin & Ewa Łupikasza, 2022. "Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 1043-1081, September.
    2. Zongzhi Wang & Jingjing Wu & Liang Cheng & Kelin Liu & Yi-Ming Wei, 2018. "Regional flood risk assessment via coupled fuzzy c-means clustering methods: an empirical analysis from China’s Huaihe River Basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 803-822, September.
    3. Peng Ye & Bin Yu & Wenhong Chen & Kan Liu & Longzhen Ye, 2022. "Rainfall-induced landslide susceptibility mapping using machine learning algorithms and comparison of their performance in Hilly area of Fujian Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 965-995, September.
    4. Huagui Zhu & Fan Liu, 2021. "A Group-Decision-Making Framework for Evaluating Urban Flood Resilience: A Case Study in Yangtze River," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    5. Sachchidanand Singh & Pankaj R. Dhote & Praveen K. Thakur & Arpit Chouksey & S. P. Aggarwal, 2021. "Identification of flash-floods-prone river reaches in Beas river basin using GIS-based multi-criteria technique: validation using field and satellite observations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2431-2453, February.
    6. Bian Liang & Dapeng Yang & Xinghong Qin & Teresa Tinta, 2019. "A Risk-Averse Shelter Location and Evacuation Routing Assignment Problem in an Uncertain Environment," IJERPH, MDPI, vol. 16(20), pages 1-28, October.
    7. Preeti Ramkar & Sanjaykumar M. Yadav, 2021. "Flood risk index in data-scarce river basins using the AHP and GIS approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 1119-1140, October.
    8. Subhankar Chakraborty & Sutapa Mukhopadhyay, 2019. "Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar district of West Bengal, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(1), pages 247-274, October.
    9. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
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