Abstract
This study aims to solve the problem of multi-objective site selection planning of real estate under the influence of extreme weather. We use meteorological data and historical disaster records to build an extreme weather risk assessment model, calculate the risk weights of various regions, and build a multi-objective real estate site selection planning model that comprehensively considers regional risks, such as transportation infrastructure and environment Using ARCGIS spatial visualization technology, we visually displayed weighted maps and final location selection results of each target in the form of maps. Chongqing City was taken as an example to demonstrate the application process of the model. The optimal results of real estate location selection in Chongqing were distributed in (28 96 N, 108 94 E), (30 19 N, 105 84 E), (28 95 N, 108 94 E) nearby This study innovatively takes the risk of extreme weather into account, which enricfies the theoretical and methodological research on real estate location.
Published Version
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