Spatial information-based fire risk evaluation in dense obsolete building areas for smart city development: A case study of Daegu metropolitan city

초록

Smart cities, whether newly developed or existing, should enable the protection of citizens from various types of disasters. With regard to fire safety, artificial intelligence algorithms that evaluate fire prone facilities based on spatial information are applied to smart cities. This study analyzed the applicability of fire risk evaluation technologies based on spatial information as core technologies for smart cities. To this end, a fire risk evaluation based on spatial information was performed in an area designated as a target zone for a housing environment improvement project in Daegu, South Korea. The evaluation involved the application of a main fire risk evaluation system consisting of 12 evaluation items. Data was obtained using drones, orthophotos, numerical maps, and building ledgers; the obtained data and a GIS-based fire risk evaluation platform were used to evaluate the level of fire risk in the target area. The evaluation result showed that fire risks according to the unit of a building or a district were effectively evaluated by the application of the spatial information-based fire risk evaluation technology. Furthermore, the application of this technology was shown to enable the effective calculation of scores for each evaluation item. © International Journal of Sustainable Building Technology and Urban Development.

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