A Comprehensive Light Pollution Rating Method for Developing Individualized Treatment Measures

With the advancement of the economy and technology, the issue of man-made light pollution is progressively worsening, exerting a significant impact on the overall environment. To enhance public awareness regarding light pollution and mitigate its effects in different regions, this study focuses on regional analysis encompassing internal and external factors. The internal light pollution risk score incorporates environmental factors, urbanization factors based on Analytic Hierarchy Process, education factors based on Monte Carlo simulation, technological factors and economic factors, which is calculated by TOPSIS with Entropy Weight Method. Additionally, the external light pollution risk score is calculated by considering neighboring areas that may contribute to light pollution. Based on regional characteristics, tailored governance measures are derived. At the same time, it is also of great significance in environmental protection, urban planning, technological innovation and sustainable development.