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Composite Risk Index-Based Analysis and Classification of Wildfire Vulnerable Areas Using Public Data and GIS Spatial Analysis

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2026, 12(5), 3
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : July 29, 2026
  • Accepted : October 19, 2026
  • Published : October 31, 2026

Jung in-hye 1

1대진대학교

Accredited

ABSTRACT

Wildfires are increasing in complexity under changing climate conditions and expanding forest –community interfaces, creating a need for spatially explicit, locally tailored prevention and response planning. This study classifies wildfire-vulnerable areas at the administrative-district level using public data and GIS-based spatial analysis in Andong-si, Yecheon-gun, Uljin-gun, and Yeongdeok-gun in northern Gyeongsangbuk-do. Forstudy aims to classify wildfire vulnerable areas by administrative unit using public data and GIS-based spatial analysis, focusing on Andong-si, Yecheon-gun, Uljin-gun, and Yeongdeok-gun in the northern region of Gyeongsangbuk-do. For this purpose, wildfire occurrence history, ignition causes, burned area, forest road and road accessibility, meteorological conditions, population distribution, firefighting water facilities, and fire station and 119 safety center location data were integrated. All spatial datasets were standardized using the GRS80 Central Belt coordinate system, and each indicator was transformed into a 0–100 score through Min-Max normalization. A Composite Risk Index was then calculated by applying weights to wildfire history, spatial accessibility, response infrastructure, and meteorological and social factors. Based on the index, wildfire vulnerable areas were classified into high-risk, caution, and monitoring areas. The results showed that Andong-si and Yecheon-gun had higher wildfire risk around forest boundaries adjacent to farmland and residential areas, mainly due to open agricultural burning. In contrast, Uljin-gun and Yeongdeok-gun showed relatively high wildfire spread risk due to coastal winds, mountainous terrain, forest-adjacent roads, and tourist activities. This study provides basic data for establishing region-specific wildfire prevention and response strategies that consider ignition probability, spread potential, and initial suppression capacity.

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