Abstract
With the development of human society, light pollution has gradually become one of the major problems faced by today’s society. In order to improve human awareness of the impact of light pollution and reduce the impact of light pollution, we constructed a “light pollution risk assessment” model and proposed relevant strategies to mitigate the impact of light pollution. We established a 3-level Analytical Hierarchy Process (AHP) combined with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model by dividing into three major factors: economic, social, and natural, and selected each index to take data collection and data analysis, then the determination of weights among factors in the model was carried out by entropy weighting method, and the light pollution risk level assessment model was obtained by K-clustering analysis. The model can systematically assess and classify the risk level of light pollution in the investigated area, which is conducive to the establishment of a scientific system for the evaluation and prevention of urban light pollution in the future, and propose effective countermeasures for how to reduce urban light pollution.
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