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Analysis of Flood-Vulnerable Areas for Disaster Planning Considering Demographic Changes in South Korea

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  • Hye-Kyoung Lee

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Young-Hoon Bae

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Jong-Yeong Son

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Won-Hwa Hong

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

Abstract

Regional demographic changes are important regional characteristics that need to be considered for the establishment of disaster prevention policies against climate change worldwide. In this study, we propose urban disaster prevention plans based on the classification and characterization of flood vulnerable areas reflecting demographic changes. Data on the property damage, casualties, and flooded area between 2009 and 2018 in 229 municipalities in South Korea were collected and analyzed, and 74 flood vulnerable areas were selected. The demographic change in the selected areas from 2000 to 2018 was examined through comparative analyses of the population size, rate of population change, and population change proportion by age group and gender. Flood vulnerable areas were categorized into three types through K-mean cluster analysis. Based on the analysis results, a strategic plan was proposed to provide information necessary for establishing regional flood-countermeasure policies.

Suggested Citation

  • Hye-Kyoung Lee & Young-Hoon Bae & Jong-Yeong Son & Won-Hwa Hong, 2020. "Analysis of Flood-Vulnerable Areas for Disaster Planning Considering Demographic Changes in South Korea," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4727-:d:369325
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    References listed on IDEAS

    as
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