URBAN FLOOD RESILIENCE: A MULTI-CRITERIA EVALUATION USING AHP AND TOPSIS

Robert Kosova; Shkelqim Hajrulla; Evgjeni Xhafaj; Rinela Kapçiu

doi:10.22437/jiituj.v8i2.35387

Authors

Robert Kosova University "Aleksander Moisiu" Durres
Shkelqim Hajrulla Epoka University
Evgjeni Xhafaj Polytechnic University of Tirana
Rinela Kapçiu University “Aleksandër Moisiu Durres”

DOI:

https://doi.org/10.22437/jiituj.v8i2.35387

Keywords:

AHP, Assessment, Decision Analysis, Floods, Multi-Criteria, Topsis

Abstract

Floods are increasingly recognized as one of the most destructive natural disasters, driven by urban expansion, climate change, and unregulated development. This is particularly true in developing countries, where rapid urbanization has increased impervious surfaces, amplifying flood risks in urban areas. This study focuses on Albania, evaluating urban resilience against floods through the lens of water-related disaster data. Using a multi-criteria decision analysis (MCDA) approach, specifically the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the research assesses flood vulnerability and resilience in rapidly urbanizing regions. Integrating AHP and TOPSIS with mixed methods introduces a novel approach, offering a comprehensive evaluation framework for flood risk management. The findings highlight critical vulnerabilities and suggest that targeted urban planning and disaster mitigation efforts can enhance resilience. Future research could incorporate climate projections and granular urban data, supporting a more adaptive flood management strategy.

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Author Biographies

Robert Kosova, University "Aleksander Moisiu" Durres

Department of Mathematics, University “Aleksandër Moisiu Durres”, Durres, Albania

Shkelqim Hajrulla, Epoka University

Deparment of Software Engineering, Epoka University, Tirana, Albania

Evgjeni Xhafaj, Polytechnic University of Tirana

Department of Mathematics, Polytechnic University of Tirana, Tirana, Albania

Rinela Kapçiu, University “Aleksandër Moisiu Durres”

Department of Computer Science, University “Aleksandër Moisiu Durres”, Durres, Albania

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