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Non-aviation revenues and growth in passengers' traffic: clustering Italian airports

机译:非航空收入和旅客流量的增长:聚集意大利机场

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The paper discusses about the relevance of non-aviation revenues (NAR) in Italian airports, in the light of the dynamics of the growth rate of passengers. In particular the study tries to comprehend if similar dynamics in growth of passenger traffic is associated to a similar relevance and incidence per passenger of non-aviation revenues and if this relationship impact on the strategic orientation adopted by airport managers. The study applies a peculiar methodology to compare time series with a single datum in time. Time information is at first synthesised via B-splines fitting, which allows obtaining coefficients that express the shape of each series properly. Comparison of the series with two indicators of relevance and incidence of NAR is then made through fuzzy clustering. The evidence suggests that the choice to invest in the non-aviation sector can be ascribed to the strategic orientation adopted by airport managers, rather than by the growth rates of passengers. The originality of the article is twofold. The first aspect is related to the methodology adopted that is innovative for this industry, the second concern the results obtained that contradict the apparently 'trivial' question of the relevance of NAR as the reported number of passengers increases.
机译:本文根据旅客增长速度的动态,讨论了意大利机场非航空收入(NAR)的相关性。特别是,该研究试图理解旅客流量增长的相似动态是否与非航空收入的相似相关性和每位旅客发生率相关,以及这种关系是否影响机场经理采用的战略方向。该研究采用了一种独特的方法来比较时间序列与单个基准时间。首先通过B样条拟合来合成时间信息,这可以获取正确表达每个序列形状的系数。然后通过模糊聚类比较该系列与NAR相关性和发生率两个指标。有证据表明,在非航空领域进行投资的选择可以归因于机场经理所采用的战略方向,而不是旅客的增长率。这篇文章的创意是双重的。第一个方面与该行业采用的创新方法有关,第二个方面与所获得的结果相矛盾,该结果显然与NAR的相关性“琐碎”的问题相矛盾,因为所报告的乘客人数增加了。

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