旅客流量通常是對於機場建設和管理的重要指標之一，本研究從可能影響機場客流量的變數出發，使用統計軟體R語言為分析工具，研究模型為多元迴歸模型和主成分迴歸模型進行探討，解析機場客流量之內在影響因素，並且提出迴歸預測模型。 研究對象為松山機場、桃園機場、高雄機場之加總後的旅客總流量，結果表示以多元迴歸模型下顯著變數為：經濟自由度指數和外國旅客人數，主迴歸分析法得到結果為：經濟自由度指數重要係數為最高，其他依序為外國旅客人數、當地人口總數(臺北；桃園；高雄)、景氣對策訊號。

Passenger flow is one of the most important indicators for airport construction and management. The research starts from the variables which affect the passenger flow. Using statistical software R language as an analytic tool. Research model will use the multiple regression model and principal component regression model for analyzing the intrinsic influencing factors of passenger flow. After finding out the significant variables will propose regression prediction model. The total of passengers studied at Songshan Airport, Taoyuan Airport and Kaohsiung Airport. The results show that the significant variables in the multiple regression model is Index of Economic Freedom and Foreign Travelers. Using the principal components regression to get the result, the highest specific gravity coefficient is Index of Economic Freedom. In order are Foreign Travelers, Population, Monitoring Indicator.