Data Mining Analysis of Changes in Energy Consumption by Transportation Structure Adjustment: An Index Decomposition Approach

Abstract

For the backdrop of rapid economic growth in China, the energy consumption it generates is also a focus of attention. The data mining analysis of this amount in transportation production department is very crucial and transport has always accounted for a considerable proportion of total energy consumption. The transportation structure adjustment policy formulated by the country is aimed at this point, hoping to reduce the total energy consumption through benign adjustments to transportation methods. This article applies decomposition method for data mining to decompose the changes in energy consumption in China's transportation sector, so as to analyze the impact of transportation structure adjustment policies on it. This method establishes the relationship between total amount and factors through multiplication identities, and then analyzes the degree of influence of factors on total amount changes by combining the total amount and changes in various factors over a time period. From the calculation results, it can be seen that the transportation structure adjustment policy has played an important role in reducing energy consumption in the transportation sector, and the country has made very correct decisions to continue promoting the implementation of this policy in the coming years. In these analyses, data mining methods have identified key supporting factors in years of data, analyzed the severity of the impact, and played an important role in the article.