Methods for optimizing the next-generation aviation networks using socioeconomic and environmental databases

2015 Fiscal Year Final Research Report

• Project/Area Number: 25390152
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Computational science
• Research Institution: Kyoto University
• Principal Investigator: Sato Aki-Hiro 京都大学, 情報学研究科, 助教 (50335204)
• Co-Investigator(Kenkyū-buntansha): Hidefumi Sawai 情報通信研究機構, ユニバーサルコミュニケーション研究所, 技術員 (70359074) ; Ken Umeno 京都大学, 大学院情報学研究科, 教授 (10358872)
• Co-Investigator(Renkei-kenkyūsha): Isao Ito 京都大学, 医学研究科, 助教 (40447975) ; Kentaro Iwata 神戸大学, 医学研究科, 教授 (90513549)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 航空輸送ネットワーク / 多変量連立確率微分方程式 / 空間統計 / 重力モデル / 最尤法 / 多目的最適化 / リスク推定 / 並列計算

Outline of Final Research Achievements

We identified a network structure for a global air transport system based on data, and proposed methods to solve multi-objective optimization problems numerically consisting of several objective functions in terms of its spatial risk, convenience and economic performance. We derived a model to calculate spatial risks by identifying the natural disaster of airports and flights, and calculated the risk of epidemic infection and the risk of tsunamis. In addition, we estimated parameters of the gravity model in order to quantify passenger flows in the whole world, and calculate the convenience and the economic performance, with a volume data of the global air transport system in 2014 and the gridded population estimate data provided by Socioeconomic Data and Applications Center (SEDAC).

Free Research Field

データ中心科学（経済情報学、経済物理学）