Aug 2026· Journal of Environmental Management· Vol 415, pp.
130670
· 0 citations· 71 references
Medicine
Abstract
Conventional wildland-urban interface (WUI) delineation commonly relies on fixed thresholds for building density, vegetation cover and distance, which may not fully represent building-level differences in fuel-related exposure across heterogeneous landscapes. Here, we propose a method to delineate the WUI based on building-level wildfire exposure. We developed two random forest models to quantify both the exposure status and exposure intensity of structures. Key predictors and thresholds were identified using Shapley Additive Explanations (SHAP) and partial dependence plots (PDPs) to identify buildings with high exposure potential and their surrounding vegetation. Building density and the Vegetation Fire Spread Index (VFS) were primarily associated with exposure status, whereas vegetation density was mainly associated with relative exposure intensity. Historical burned areas accounted for 5.25% of the resulting WUI area, compared with 2.42% under the Federal Register-based framework. Historically exposed buildings represented 24.48% of buildings within the resulting WUI, compared with 18.65% under the Federal Register-based framework. By linking building selection with surrounding wildland fuels, this framework provides a spatial basis for local building-exposure screening and differentiated wildfire mitigation.
Urban wildfire resilience depends on interactions among built form, vegetation condition, and extreme fire weather, yet city-scale risk models often overlook whether predictive skill transfers across neighborhoods. We developed a spatially validated GeoAI workflow for the January 2025 Palisades Fire, linking 12,081 CAL...
Nature-Based Solutions (NBS) are increasingly implemented to address urban environmental challenges, yet the surrounding spatial context in which they are embedded may influence the conditions supporting their ecological functioning. This study applied an integrated remote sensing-based spatial diagnostic framework com...
Andrew Ikingura, B. Sowińska-świerkosz, Dagmara Kociuba et al.· Remote Sensing· 0 citations
Urban wildfire resilience depends on how built form, vegetation condition, and extreme fire weather interact. Thus far, city-scale decision tools often combine spatial data without testing whether their apparent predictive skill persists when evaluated in spatially separated settings. We developed a spatially validated...
Parastoo Farajpoor, Mohammadreza Narimani· Frontiers in Sustainability· 0 citations
Wildland–urban interfaces (WUIs) are critical zones for wildfire prevention in Mediterranean and semi-arid landscapes, particularly where human settlements interact with continuous combustible vegetation. In Algeria, operational tools for delineating WUI configurations and spatially prioritizing preventive actions rema...
Urban–rural interfaces are transitional territories characterized by the coexistence of urban, agricultural, and natural land covers. Despite their relevance for territorial planning and environmental management, their spatial delineation remains methodologically challenging due to their dynamic and heterogeneous natur...