Benchmarking Airport Efficiency: An Application of Data Envelopment Analysis

Tony Diana
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引用次数: 4

Abstract

This article presents a benchmarking methodology designed to help in evaluating the performance of airport operations. It describes how Data Envelopment Analysis (DEA) was used to achieve an efficiency criterion by benchmarking 35 airports based on the percent of on-time gate arrivals. Regression analysis was then used to assess the impact of selected input variables on the likelihood of airport is efficiency. Results show that airport efficiency in terms of operations for the largest 35 airports has continued to decline from 2003 while airport delays and congestion have returned to the levels seen in 2000, when delays were at an all time high.
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基准机场效率:数据包络分析的应用
本文介绍了一种基准测试方法,旨在帮助评估机场的运营表现。它描述了如何使用数据包络分析(DEA)通过对35个机场的准点率进行基准测试来实现效率标准。然后使用回归分析来评估所选输入变量对机场效率可能性的影响。结果显示,从2003年开始,最大的35个机场的运营效率持续下降,而机场延误和拥堵已恢复到2000年的水平,当时延误达到历史最高水平。
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