| Citation: | ZENG W，HU R，SONG W，et al. Regional classification of CO2 emission reduction potential of China’s civil aircraft[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（9）：2455-2462 （in Chinese） doi: 10.13700/j.bh.1001-5965.2021.0647
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Scientific regional classification is fundamental for investigating aircraft CO2 emissions with regional differences and spatial relativity, and for proposing differentiated CO2 emission reduction measures. Using aircraft operation data from China’s some provinces over a ten-year time span (2007–2016), this paper first establishes a model of CO2 emission reduction potential. Then we employ the Kruskal algorithm to obtain the minimum spanning tree of the provincial network relationship. Next the spectral clustering algorithm is used to divide the area of CO2 emission reduction potential with the goal of maximizing the regional classification superiority. Our analysis shows that the optimal classification involves four regions with the regional classification superiority of 0.35. The region with the highest CO2 emission reduction potential is mainly in southwest and central south China, and the region with the lowest potential is mainly in northeast and north China. According to the regional characteristics, differentiated CO2 emission reduction measures are proposed for different subjects such as civil aviation administration, airports, and airlines.
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