Based on five airports tracking statistics which are the Beijing Capital International Airport, ShanghaiHongqiao International Airport, Guangzhou Baiyun International Airport, Chengdu Shuangliu International Airport and Harbin Taiping International Airport, the article had used Bayesian model to analysis of different airlines, different periods of delay length, delay rate and the law of the cycle, in order to provide a reference for operation scheduling and recovery in case of abnormal fright.%本文通过对北京首都国际机场、上海虹桥国际机场、广州白云国际机场、成都双流国际机场和哈尔滨太平国际机场五个机场的追踪统计,分析了国内航空公司延误的时间和空间分布特征,为不正常航班情形下的运行调度和延误航班的恢复提供参考。
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