A Network Theoretic Investigation into the Topological Characteristics of U.S. Airline Route Network Growth

Abstract

Commercial airline networks are complex, dynamic systems that have become critical components of infrastructure, and understanding the nature and evolution of these networks is necessary in order to maximize their benefits. In this thesis we model the U.S. domestic air transportation system as a temporal multilayer directed network and investigate the route network structure of different U.S. airlines. We apply a network theoretic framework to the evolution of these airlines, represented as layers of the network. We identify the topological properties of these layers as airports are added to and dropped from the airline route networks during years of growth. From this framework we develop a model based upon centralities for identifying airports that make good candidates for addition to or removal from an airline network, and assess how our model aligns with historical decisions made by the airlines. We find the model to be more successful in identifying airports (1) for removal from, rather than addition to, a layer, and (2) for addition by low-cost carriers rather than full-service carriers.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1059919

Entities

People

  • Kenneth A. Hicks

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Transportation
  • Aircrafts
  • Applied Mathematics
  • California
  • Commercial Aircraft
  • Commercial Aviation
  • Data Analysis
  • Data Set
  • Data Sets
  • Digital Data
  • Economic Analysis
  • Graph Theory
  • Network Science
  • Operations Research
  • Social Networks
  • Spreadsheet Software
  • Statistical Analysis
  • Statistics
  • Transport Aircraft
  • Transportation
  • United States
  • Urban Areas

Fields of Study

  • Computer science

Readers

  • Aviation Safety and Air Traffic Management
  • Operations Research
  • Systems Analysis and Design