Emergency airport site selection using global subdivision grids

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 selecti...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Bing Han, Tengteng Qu, Zili Huang, Qiangyu Wang, Xinlong Pan
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	emergency airport site selection global subdivision grids geosot-3d simulated annealing algorithm penalty function Geography. Anthropology. Recreation G Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/d476c4b562544a2eacbe72948632dccf
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d476c4b562544a2eacbe72948632dccf
record_format	dspace
spelling	oai:doaj.org-article:d476c4b562544a2eacbe72948632dccf2021-12-01T14:40:59ZEmergency airport site selection using global subdivision grids2096-44712574-541710.1080/20964471.2021.1996866https://doaj.org/article/d476c4b562544a2eacbe72948632dccf2021-11-01T00:00:00Zhttp://dx.doi.org/10.1080/20964471.2021.1996866https://doaj.org/toc/2096-4471https://doaj.org/toc/2574-5417The 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.Bing HanTengteng QuZili HuangQiangyu WangXinlong PanTaylor & Francis Grouparticleemergency airport site selectionglobal subdivision gridsgeosot-3dsimulated annealing algorithmpenalty functionGeography. Anthropology. RecreationGGeologyQE1-996.5ENBig Earth Data, Vol 0, Iss 0, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	emergency airport site selection global subdivision grids geosot-3d simulated annealing algorithm penalty function Geography. Anthropology. Recreation G Geology QE1-996.5
spellingShingle	emergency airport site selection global subdivision grids geosot-3d simulated annealing algorithm penalty function Geography. Anthropology. Recreation G Geology QE1-996.5 Bing Han Tengteng Qu Zili Huang Qiangyu Wang Xinlong Pan Emergency airport site selection using global subdivision grids
description	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.
format	article
author	Bing Han Tengteng Qu Zili Huang Qiangyu Wang Xinlong Pan
author_facet	Bing Han Tengteng Qu Zili Huang Qiangyu Wang Xinlong Pan
author_sort	Bing Han
title	Emergency airport site selection using global subdivision grids
title_short	Emergency airport site selection using global subdivision grids
title_full	Emergency airport site selection using global subdivision grids
title_fullStr	Emergency airport site selection using global subdivision grids
title_full_unstemmed	Emergency airport site selection using global subdivision grids
title_sort	emergency airport site selection using global subdivision grids
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/d476c4b562544a2eacbe72948632dccf
work_keys_str_mv	AT binghan emergencyairportsiteselectionusingglobalsubdivisiongrids AT tengtengqu emergencyairportsiteselectionusingglobalsubdivisiongrids AT zilihuang emergencyairportsiteselectionusingglobalsubdivisiongrids AT qiangyuwang emergencyairportsiteselectionusingglobalsubdivisiongrids AT xinlongpan emergencyairportsiteselectionusingglobalsubdivisiongrids
_version_	1718405023793152000

Emergency airport site selection using global subdivision grids

Ejemplares similares