Emergency airport site selection using global subdivision grids  

作　　者：Bing Han Tengteng Qu Zili Huang Qiangyu Wang Xinlong Pan 

机构地区：[1]Academy for Advanced Interdisciplinary Studies,Peking University,Beijing,China [2]College of Engineering,Peking University,Beijing,China [3]Institute of Defense Engineering,Ams,Beijing,China [4]Institute of Information Fusion,Naval Aviation University,Yantai,China

出　　处：《Big Earth Data》2022年第3期276-293,共18页地球大数据（英文）

基　　金：This research was funded by the National Key Research and Development Plan(2018YFB0505300);the Key Research and Development Plan of Shandong Province(2020CXGC010701);the Natural Science Foundation of Shandong Province(ZR2020MF154).

摘　　要：The occurrence of large-magnitude disasters has significantly aroused public attention regarding diversified site selection of emergency facilities.In particular,emergency airport site selection(EASS)is highly complicated,and relevant research is rarely conducted.Emergency airport site selection is a scenario with a wide spatiotemporal range,massive data,and complex environmental information,while traditional facility site selection methods may not be applicable to a large-scale time-varying airport environment.In this work,an emergency airport site selection application is presented based on the GeoSOT-3D global subdivision grid model,which has demonstrated good suitability of the discrete global grid system as a spatial data structure for site selection.This paper proposes an objective function that adds a penalty factor to solve the constraints of coverage and the environment in airport construction.Through multiple iterations of the simulated annealing algorithm,the optimal airport construction location can be selected from multiple preselected points.With experimental verifications,this research may effectively and reasonably solve the emergency airport site selection issue under different circumstances.

关 键 词：Emergency airport site selection global subdivision grids GeoSOT-3D simulated annealing algorithm penalty function 

分 类 号：F562[经济管理—产业经济]