A New Models for Emergency Evacuation under the Disaster Condition
People must face many disasters every day, which cause losses in property and human lives. It is significant how to establish the emergency evacuation model and for high density population in large areas according to the actual situation of their emergency evacuation. This paper put forward a Mult...
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Format: | Article |
Language: | English |
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Copernicus Publications
2012-07-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-2/195/2012/isprsannals-I-2-195-2012.pdf |
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author | L. Tang X. Yang F. Huang H. Xu Q. Li |
author_facet | L. Tang X. Yang F. Huang H. Xu Q. Li |
author_sort | L. Tang |
collection | DOAJ |
description | People must face many disasters every day, which cause losses in property and human lives. It is significant how to establish the
emergency evacuation model and for high density population in large areas according to the actual situation of their emergency
evacuation. This paper put forward a Multi-levels Emergency Evacuation Model (MEE) based on the collective evacuation for high
density of population in large areas under the earthquake condition in China, which firstly find the best ways from the
multi-gathering points(Origins) in the disaster area to multi-settling points(Destinations )in the safe area based on the road impedance
such as the traffic, road speed limit and pavement damage to weight the evacuation ability of road network, and secondly determine
the evacuation auto numbers on the every routes which is at the target to deliver all the evacuating people from the Origins to
Destinations in the shortest time. The experiment area is Dezhou city in Shandong province of China, and an emergency evacuation
platform was put up according to the multilevel emergency evacuation model using Google map API and C# as development
platform, and the result show us that MEE is promised to be a new methods for emergency evacuation. |
first_indexed | 2024-12-21T20:37:14Z |
format | Article |
id | doaj.art-a9a8b15f52c24bd8abe8222e527c4e15 |
institution | Directory Open Access Journal |
issn | 2194-9042 2194-9050 |
language | English |
last_indexed | 2024-12-21T20:37:14Z |
publishDate | 2012-07-01 |
publisher | Copernicus Publications |
record_format | Article |
series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-a9a8b15f52c24bd8abe8222e527c4e152022-12-21T18:51:04ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502012-07-01I-219520210.5194/isprsannals-I-2-195-2012A New Models for Emergency Evacuation under the Disaster ConditionL. Tang0X. Yang1F. Huang2H. Xu3Q. Li4State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, P. R. ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, P. R. ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, P. R. ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, P. R. ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, P. R. ChinaPeople must face many disasters every day, which cause losses in property and human lives. It is significant how to establish the emergency evacuation model and for high density population in large areas according to the actual situation of their emergency evacuation. This paper put forward a Multi-levels Emergency Evacuation Model (MEE) based on the collective evacuation for high density of population in large areas under the earthquake condition in China, which firstly find the best ways from the multi-gathering points(Origins) in the disaster area to multi-settling points(Destinations )in the safe area based on the road impedance such as the traffic, road speed limit and pavement damage to weight the evacuation ability of road network, and secondly determine the evacuation auto numbers on the every routes which is at the target to deliver all the evacuating people from the Origins to Destinations in the shortest time. The experiment area is Dezhou city in Shandong province of China, and an emergency evacuation platform was put up according to the multilevel emergency evacuation model using Google map API and C# as development platform, and the result show us that MEE is promised to be a new methods for emergency evacuation.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-2/195/2012/isprsannals-I-2-195-2012.pdf |
spellingShingle | L. Tang X. Yang F. Huang H. Xu Q. Li A New Models for Emergency Evacuation under the Disaster Condition ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | A New Models for Emergency Evacuation under the Disaster Condition |
title_full | A New Models for Emergency Evacuation under the Disaster Condition |
title_fullStr | A New Models for Emergency Evacuation under the Disaster Condition |
title_full_unstemmed | A New Models for Emergency Evacuation under the Disaster Condition |
title_short | A New Models for Emergency Evacuation under the Disaster Condition |
title_sort | new models for emergency evacuation under the disaster condition |
url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-2/195/2012/isprsannals-I-2-195-2012.pdf |
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