| مستخلص: |
In recent years, with the continuous development of the economy and the continuous acceleration of the process of urbanization in China, the proportion of energy consumption in the transportation industry has shown a rising trend. The task of reducing transportation energy consumption is strategic and urgent. To comprehensively build a conservation-oriented society and promote the sustainable development of the transportation industry in China, it is necessary to explore decision support for reducing transportation energy consumption. Therefore, it is imperative to understand the current situation of energy consumption in the urban transportation industry in China, analyze and calculate and effectively predict transportation energy consumption, and decompose the main factors that affect this target variable. This study selects 10 representative cities in China as the research objects. Based on the Kuznets method in econometrics, through modeling analysis and example verification, the specific influencing factors of urban transportation energy consumption, urban transportation energy consumption and social economy and the relationship between development and consumption is studied. The research results show that per capita GDP and per capita transportation energy consumption are in an inverted U-shaped curve, but it has not reached the turning point of the curve. In other words, the current economic development cannot reduce per capita transportation energy consumption. At the same time, there is a weak decoupling between per capita transportation energy consumption and per capita GDP, and the elasticity of per capita transportation energy consumption relative to per capita GDP decreases as the economic level increases. In addition, population density, economic structure and intensity of traffic energy consumption have a negative impact on per capita traffic energy consumption. In contrast, urbanization rate has a positive impact on per capita traffic energy consumption, and the impact is greater than other factors. [ABSTRACT FROM AUTHOR] |
