Analysis of Flight Punctuality Rate Based on Complex Network

Peng Wei, Mingdao Lu, Xuehan Zhang, Yilei Teng
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Abstract

: Aviation service plays an indispensable role in the process of social and economic development. In this process, the problem of flight punctuality becomes more and more serious. Flight delay will bring a variety of implicit and explicit losses to individual passengers and airlines, so it is necessary to analyze the influencing factors of flight punctuality rate. Complex network can be used to study various objects with complex relations, obtain the relations of these objects and calculate the influence of different indicators on the objects. This article mainly has carried on the three aspects: Firstly, get the flight data from the Internet, and use the knowledge of the complex network to obtain the data to build into a directed network. Secondly, to analyze the building of directed network, computing network centricity index, study the influence of different centricity index for flight punctuality. Thirdly, get the statistics of airport indicators including network indicators and calculate the correlation of different indicators and punctuality. Through the above three points, the degree of influence of different influencing factors on flight on-time rate is studied, which is the positive influence or the negative influence. The study of these factors will provide some references for the practical application of the improvement of flight punctuality.
基于复杂网络的航班正点率分析
航空服务在社会经济发展过程中起着不可或缺的作用。在这个过程中,航班准点问题变得越来越严重。航班延误会给旅客个人和航空公司带来各种隐性和显性的损失,因此有必要对航班正点率的影响因素进行分析。复杂网络可以用来研究具有复杂关系的各种对象,获得这些对象之间的关系,并计算不同指标对对象的影响。本文主要进行了三个方面的工作:首先,从互联网上获取航班数据,利用复杂网络的知识获取数据,构建有向网络。其次,分析有向网络的构建,计算网络中心性指数,研究不同中心性指数对航班正点率的影响。第三,对包括网络指标在内的机场指标进行统计,计算不同指标与准点率的相关性。通过以上三点,研究不同影响因素对航班正点率的影响程度,是积极影响还是消极影响。对这些因素的研究将为提高航班准点率的实际应用提供一定的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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