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In the light of the Climate Change era, wildfires in forest areas appear to be intensified, placing at risk the urban fabric being in close proximity to wildland fire prone areas. Such a risk causes severe socio-economic and environmental consequences, calling for proactive policy action and rendering Disaster Management planning an urgent need. In support of this urgency, this study aims at assessing fire risk in Wildland-Urban Interfaces (WUIs), i.e. urban and peri-urban areas that are settled in the forests’ neighborhood or in close proximity to them. Towards this end, it aims at: establishing a pool of factors/criteria and a pool of methodologies related to WUIs Fire Risk Assessment; and testing/comparing results produced by two methodologies, selected from the above set, namely the Analytical Hierarchy Process (AHP) and the Random Forest algorithm through the Forest-Based Classification tool. Results obtained by the two methodologies demonstrate a rather diversified spatial pattern of forest fire risk, which is further validated by the inspection of the impacts (burned area) of recurrent wildfire incidents, occurring in the study area in the time span 2000-2023; while fire risks in WUIs are sketched in the study area, calling for proactive policy action for ensuring resilience to future forest fire incidents in this quite vulnerable area of Attica Region.

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Methodologies for Wildland-Urban Interface (WUI) Fire Risk Assessment – Case Study North-Eastern Attica Region

  • 会议论文

  • 发表日期：

    2026年

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  • Angeliki Papazoglou,
  • Apostolos Lagarias,
  • Anastasia Stratigea

摘要

In the light of the Climate Change era, wildfires in forest areas appear to be intensified, placing at risk the urban fabric being in close proximity to wildland fire prone areas. Such a risk causes severe socio-economic and environmental consequences, calling for proactive policy action and rendering Disaster Management planning an urgent need. In support of this urgency, this study aims at assessing fire risk in Wildland-Urban Interfaces (WUIs), i.e. urban and peri-urban areas that are settled in the forests’ neighborhood or in close proximity to them. Towards this end, it aims at: establishing a pool of factors/criteria and a pool of methodologies related to WUIs Fire Risk Assessment; and testing/comparing results produced by two methodologies, selected from the above set, namely the Analytical Hierarchy Process (AHP) and the Random Forest algorithm through the Forest-Based Classification tool. Results obtained by the two methodologies demonstrate a rather diversified spatial pattern of forest fire risk, which is further validated by the inspection of the impacts (burned area) of recurrent wildfire incidents, occurring in the study area in the time span 2000-2023; while fire risks in WUIs are sketched in the study area, calling for proactive policy action for ensuring resilience to future forest fire incidents in this quite vulnerable area of Attica Region.