DocumentCode
498195
Title
Framework of Spatial Decision Support System for Large-Scale Public Building Evacuation
Author
Zhichong, Zou ; Yaowu, Wang
Author_Institution
Harbin Inst. of Technol., Harbin, China
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
352
Lastpage
356
Abstract
Buildings or constructions are the basis of modern human life. While unexpected and sudden emergencies happen in large-scale public buildings bring great lost of wealth and casualties. How to control such extreme events and make efficient evacuation is quite a problem for emergency planners and decision makers. In this paper, a spatial approach based on exploratory spatial data analysis (ESDA) technology is described to build a Spatial Decision Support System (SDSS) for large-scale public building evacuation. Method and application of ESDA for building environment spatial risk appraisal is the core algorithmic model for environment analysis module and the basis of evacuation routing optimization. Framework structure of SDSS for large-scale public building evacuation is explicated. SDSS could not only bring emergency routing scheme for evacuees, but also provide reliable environment risk related spatial information for emergency management decision making.
Keywords
building; decision support systems; emergency services; risk management; building environment spatial risk appraisal; emergency management decision making; emergency routing; exploratory spatial data analysis; large-scale public building evacuation; spatial decision support system; Algorithm design and analysis; Appraisal; Buildings; Data analysis; Decision support systems; Humans; Large-scale systems; Optimization methods; Risk analysis; Routing; Artificial Intelligence; Building Evacuation; Emergency Management; Exploratory Spatial Data Analysis; Spatial Decision Support System;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.382
Filename
5208961
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