Light pollution is becoming a problem of international importance in recent years. This study presents a comprehensive analysis of light pollution using clustering, entropy weight method, TOPSIS, and correlation analysis. We establish a clustering model to categorize cities based on photo radiation and PM2.5 levels. The entropy weight method determines indicator weights, and TOPSIS evaluates light pollution based on weighted indicators. Correlation analysis reveals relationships between light pollution and factors like electricity consumption, GDP, population, crime rate, energy, and species number. Policy outcomes are forecasted, showing reduced light pollution levels after implementation. This study contributes to understanding light pollution's impact and informs policy decisions.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.