In order to reduce the carbon emission of the airport surface,it provides a theoretical basis for aircraft glide path optimization.This paper provides a quantitative method of the spatiotemporal character-istics and driving factors of aircraft carbon emissions for airports in Sichuan-Chongqing area.Subsequent-ly,it is beneficial for putting forward the strategies of corresponding emission reduction.First of all,using the historical flight data,we analyze the spatiotemporal characteristics of airport clusters surface carbon e-missions based on the local spatial correlation(LISA)index time path model.We can obtain the spatial structure characteristics of airport cluster surface carbon emissions in Sichuan-Chongqing area.In addi-tion,this paper analyses the driving factors of Tianfu airport surface carbon emissions based on the Loga-rithmic Mean Divisia Index Decomposition Method(LMDI).The results show that surface carbon emis-sions are more significantly affected by the average number of passenger seats and the number of urban connections.The method proposed in this paper provides a theoretical research basis for the optimization of airport taxi path and the reasonable adjustment of flight time,and can also provide a basis for the rele-vant units of airport energy conservation and emission reduction strategies.
关键词
场面碳排放/LISA时间路径/LMDI因素分解法/驱动因素
Key words
carbon emission of the airport surface/LISA time path/LMDI decomposition method/driving factor
维普
万方数据