Evolution of airports from a network perspective--An analytical concept  

作　　者：Mark Azzam 

机构地区：[1]German Aerospace Center -DLR, 53227 Bonn, Germany

出　　处：《Chinese Journal of Aeronautics》2017年第2期513-522,共10页中国航空学报（英文版）

基　　金：supported by the German Research Foundation through the graduate school 1343;the former European Center for Aviation Development -ECAD GmbH

摘　　要：Analyzing airports＇ role in global air transportation and monitoring their development over time provides an additional perspective on the dynamics of network evolution.In order to understand the different roles airports can play in the network an integrated and multidimensional approach is needed.Therefore,an approach to airport classification through hierarchical clustering considering several parameters from network theory is presented in this paper.By applying a 29 year record of global flight data and calculating the conditional transition probabilities the results are displayed as an evolution graph similar to a discrete-time Markov chain.With this analytical concept the meaning of airports is analyzed from a network perspective and a new airport taxonomy is established.The presented methodology allows tracking the development of airports from certain categories into others over time.Results show that airports of equal classes run through similar stages of development with a limited number of alternatives,indicating clear evolutionary patterns.Apart from giving an overview of the results the paper illustrates the exact data-driven approach and suggests an evaluation scheme.The methodology can help the public and industry sector to make informed strategy decisions when it comes to air transportation infrastructure.Analyzing airports＇ role in global air transportation and monitoring their development over time provides an additional perspective on the dynamics of network evolution.In order to understand the different roles airports can play in the network an integrated and multidimensional approach is needed.Therefore,an approach to airport classification through hierarchical clustering considering several parameters from network theory is presented in this paper.By applying a 29 year record of global flight data and calculating the conditional transition probabilities the results are displayed as an evolution graph similar to a discrete-time Markov chain.With this analytical concept the meaning of airports is analyzed from a network perspective and a new airport taxonomy is established.The presented methodology allows tracking the development of airports from certain categories into others over time.Results show that airports of equal classes run through similar stages of development with a limited number of alternatives,indicating clear evolutionary patterns.Apart from giving an overview of the results the paper illustrates the exact data-driven approach and suggests an evaluation scheme.The methodology can help the public and industry sector to make informed strategy decisions when it comes to air transportation infrastructure.

关 键 词：Airport classification Air transportation Cluster analysis Complexity science Network development Network science 

分 类 号：V35[航空宇航科学与技术—人机与环境工程]