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从机场运营、机场发展、综合交通以及对应城市社会经济环境四个维度构建民用机场类别细分量表,获取样本数据;将因子分析与基于层次聚类的FCM算法相结合,最终将国内主要民用机场划分为6个类别,并依据原始指标数据对各类别民用机场特征进行均化统计与类别分析。研究结果表明,以基于层次聚类的FCM算法划分中国主要机场类别可获得满意的划分结果,各机场类别间统计指标均值差异明显。
From the four aspects of airport operation, airport development, comprehensive traffic and corresponding urban socio-economic environment, the civil airport category subdivision scale is constructed to obtain the sample data. The factor analysis is combined with the FCM algorithm based on hierarchical clustering, and finally the domestic civil The airport is divided into six categories, and based on the original indicator data, the characteristics of all types of civil airports are averaged and classified. The results show that the classification of China’s major airports by FCM based on hierarchical clustering can be satisfactorily divided, with significant differences in the mean of statistical indicators among various airport categories.