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Academic Journal of Mathematical Sciences, 2023, 4(2); doi: 10.25236/AJMS.2023.040206.

Study of light pollution risk level based on TOPSIS and integer programming summary


Xiting Wang1, Keying Yan2, Jiarui Qu2

Corresponding Author:
Xiting Wang

1School of Economics, Minzu University of China, Beijing, 100081, China

2College of Science, Minzu University of China, Beijing, 100081, China


High-intensity lighting has become an inevitable phenomenon in cities, so it is very important to establish an index system to measure the degree of light pollution risk. We selected the entropy weight method to determine the weight of each indicator that affects the risk of light pollution, and then used the TOPSIS model to quantitatively analyze the degree of light pollution risk and calculate the score. Finally, it was concluded that among the seven cities of Shanghai, Guangzhou, Kunming, Lhasa, Ningbo, Hohhot and Yinchuan, Shanghai had the highest light pollution risk score of 0.77, while Yinchuan had the lowest light pollution risk score of 0.23. This paper constructs a light pollution risk measurement system, which is of great significance to the measurement and prevention of light pollution.


Entropy method, TOPSIS, Light pollution

Cite This Paper

Xiting Wang, Keying Yan, Jiarui Qu. Study of light pollution risk level based on TOPSIS and integer programming summary. Academic Journal of Mathematical Sciences (2023) Vol. 4, Issue 2: 41-45. https://doi.org/10.25236/AJMS.2023.040206.


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