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Weighting the Attributes of Human-Related Activities for Fire Safety Measures in Historic Villages

Author

Listed:
  • Ji-Hee Lee

    (Advanced Technology Institute of Construction Environmental Energy, Kyungpook National University, Daegu 41566, Korea)

  • Woo-Young Chun

    (Real-Scale Fire Testing & Research Center, Korea Conformity Laboratories, Samcheok 25913, Korea)

  • Jun-Ho Choi

    (Division of Architectural and Fire Protection Engineering, Pukyong National University, Busan 48513, Korea)

Abstract

Recently, numerous world heritage sites have burned down or suffered minor damage due to fires. As a result, the Korean government has developed active and passive fire measures in Korean historic villages. Nevertheless, fires have not been prevented, inciting the government to direct its attention toward community-based activities. This paper focuses on human-related fire safety measures and aims to identify the most efficient methods for preventing fires, as well as for minimizing damage caused by them in historic villages. It explores the preventive and response levels of residents and village organizations based on a survey of experts in the field and applies an analytic hierarchy process (AHP) to determine the weighting of the selected attributes. The study proposes that the preventive level is more important than the response level among village residents, and the response level should be prioritized over the preventive level in village organizations in order to prevent and reduce fire risk and damage in Korean historic villages.

Suggested Citation

  • Ji-Hee Lee & Woo-Young Chun & Jun-Ho Choi, 2021. "Weighting the Attributes of Human-Related Activities for Fire Safety Measures in Historic Villages," Sustainability, MDPI, vol. 13(6), pages 1-12, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3236-:d:517483
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    References listed on IDEAS

    as
    1. Saaty, Thomas L. & Vargas, Luis G., 1987. "Uncertainty and rank order in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 32(1), pages 107-117, October.
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