Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt.

ABSTRACT: China became the country with the largest global carbon emissions in 2007. Cities are regional population and economic centers and are the main sources of carbon emissions. However, factors influencing carbon emissions from cities can vary with geographic location and the development history of the cities, rendering it difficult to explicitly quantify the influence of individual factors on carbon emissions. In this study, random forest (RF) machine learning algorithms were applied to analyze the relationships between factors and carbon emissions in cities using real-world data from Chinese cities. Seventy-three cities in three urban agglomerations within the Yangtze River Economic Belt were evaluated with respect to urban carbon emissions using data from regional energy balance tables for

SUBMITTER: Wang Z 

PROVIDER: S-EPMC8177642 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature