A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Using AHP to prioritize flood mitigation measures in urban areas
This study explores the application of the Analytic Hierarchy Process (AHP) in prioritizing flood mitigation measures for urban areas. The research employs a waterfall method with a quantitative approach, integrating AHP into a comprehensive flood mitigation information system. Key criteria considered include rainfall, topography, water channel conditions, land cover, and population density. The study identifies and evaluates various flood mitigation alternatives, such as early warning systems, river normalization, and drainage system improvements. The AHP analysis yields a consistency ratio of 0.021, indicating reliable judgments in the pairwise comparisons. Results prioritize the construction of early warning systems (0.216), followed by embankment construction (0.151), and drainage system improvement (0.137) as the most effective flood mitigation strategies. The developed system successfully combines spatial data, flood risk analysis, and AHP-based decision-making processes, providing a structured approach to flood management in urban contexts. This research contributes to more informed and efficient flood mitigation planning, offering a valuable tool for urban planners and policymakers in addressing the complex challenges of urban flooding.
Using AHP to prioritize flood mitigation measures in urban areas
This study explores the application of the Analytic Hierarchy Process (AHP) in prioritizing flood mitigation measures for urban areas. The research employs a waterfall method with a quantitative approach, integrating AHP into a comprehensive flood mitigation information system. Key criteria considered include rainfall, topography, water channel conditions, land cover, and population density. The study identifies and evaluates various flood mitigation alternatives, such as early warning systems, river normalization, and drainage system improvements. The AHP analysis yields a consistency ratio of 0.021, indicating reliable judgments in the pairwise comparisons. Results prioritize the construction of early warning systems (0.216), followed by embankment construction (0.151), and drainage system improvement (0.137) as the most effective flood mitigation strategies. The developed system successfully combines spatial data, flood risk analysis, and AHP-based decision-making processes, providing a structured approach to flood management in urban contexts. This research contributes to more informed and efficient flood mitigation planning, offering a valuable tool for urban planners and policymakers in addressing the complex challenges of urban flooding.
Using AHP to prioritize flood mitigation measures in urban areas
Nugraha Nur Budi (author) / Puspaningrum Alifia (author) / Santosa Yaqutina Marjani (author)
2025
Article (Journal)
Electronic Resource
Unknown
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