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Age-Based Community Resilience Assessment Using Flood Resilience Index Approach: Inference from the Gyor City, Hungary

Author

Listed:
  • Ibrar Ullah

    (Department of Geography, ELTE Savaria University Centre, Károlyi Gáspár sq. 4, 9700 Szombathely, Hungary)

  • Gábor Kovács

    (Department of Geography, ELTE Savaria University Centre, Károlyi Gáspár sq. 4, 9700 Szombathely, Hungary)

  • Tibor Lenner

    (Department of Geography, ELTE Savaria University Centre, Károlyi Gáspár sq. 4, 9700 Szombathely, Hungary)

  • Péter Góczán

    (Department of Geography, ELTE Savaria University Centre, Károlyi Gáspár sq. 4, 9700 Szombathely, Hungary)

Abstract

Floods represent a significant threat to the livelihoods of individuals and pose challenges to global development prospects. An individual’s age is an essential predictor for adopting flood preparedness measures. In this context, the present study aims to identify community resilience based on age. Two age groups were considered for analysis, i.e., young group (age less than 24 years) and adult group (age over 24 years), using the Flood Resilience Index (FRI) approach through five dimensions of resilience, i.e., the natural, physical, economic, social, and institutional. The data analysis included 200 respondents, with each compromise equaling 100 from both age groups. A total of 34 structured questions were analyzed based on FRI dimensions. The survey results show that the overall resilience in both groups is low, but the adults are relatively more flood-resilient than the young group. Moreover, results of all dimensions show differences between the two groups, with the adult group appearing more resilient than the young group. The study shows that the local authorities and flood protection bodies should focus more on the community’s youth regarding risks and preparedness for flooding.

Suggested Citation

  • Ibrar Ullah & Gábor Kovács & Tibor Lenner & Péter Góczán, 2025. "Age-Based Community Resilience Assessment Using Flood Resilience Index Approach: Inference from the Gyor City, Hungary," Geographies, MDPI, vol. 5(2), pages 1-17, April.
    • Handle: RePEc:gam:jgeogr:v:5:y:2025:i:2:p:16-:d:1625704
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