Evaluating air navigation service efficiency of European airports utilizing DEA

Steffen Hoffmann, Andreas Dellnitz, Andreas Kleine, Rainer Kölle
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引用次数: 1

Abstract

The rising air traffic volume in Europe, and beyond, is demanding. Accordingly, the need for safe but also efficient air traffic management asks for approaches to evaluate service productions by more than just univariate measures. Data Envelopment Analysis (DEA) is a non-parametric method to assess the efficiency of organizations and processes, so-called Decision-Making Units (DMUs). The major advantage of DEA is to reduce multivariate data to a single key performance indicator (KPI). However, this KPI is just one element to analyze the (economic) situation of a DMU, as shown in the contribution at hand. While almost all DEA applications in the field of air transport refer to airports or airlines as complete units, we concentrate on the efficiency measurement of air navigation services (ANS), especially the arrival and departure phases. The set of DMUs comprises 32 major European airports. Due to a considerable amount of data for potential DEA studies of ANS, this contribution discusses the process of data-selection in a first step; the Performance Review Unit of EUROCONTROL provided all data. In a second step, graphical projections of the DEA results are determined by applying the multivariate method of Multidimensional Scaling (MDS). Finally, possible interpretations of underlying latent variables are given. Thus, the proposed approach provides new insights: for air navigation service providers as well as for authorities, i.e. for regulatory purposes. With regard to a liberalized market for air navigation services in Europe, the overall project goal is to develop a powerful tool for ANS regulation.
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运用DEA评价欧洲机场空中航行服务效率
欧洲及其他地区不断增长的空中交通量要求很高。因此,对安全但也有效的空中交通管理的需求要求通过不仅仅是单变量措施来评估服务产品的方法。数据包络分析(DEA)是一种评估组织和过程效率的非参数方法,即所谓的决策单元(dmu)。DEA的主要优点是将多变量数据简化为单一的关键绩效指标(KPI)。然而,这个KPI只是分析DMU(经济)状况的一个元素,如手边的贡献所示。虽然几乎所有航空运输领域的DEA应用都将机场或航空公司作为完整的单位,但我们专注于空中导航服务(ANS)的效率测量,特别是到达和离开阶段。这套dmu包括32个欧洲主要机场。由于潜在的ANS的DEA研究的数据量相当大,这篇文章在第一步讨论了数据选择的过程;EUROCONTROL的业绩审查股提供了所有数据。在第二步,通过应用多维尺度(MDS)的多变量方法确定DEA结果的图形投影。最后,给出了潜在变量的可能解释。因此,拟议的方法为空中导航服务提供商和当局(即监管目的)提供了新的见解。关于欧洲空中导航服务的自由化市场,项目的总体目标是为空中导航系统的管理制定一个强有力的工具。
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