Citation

Wang H, Chen H, Li R, Yu H, Zhao T. China Saf. Sci. J. 2021; 31(12): 153-159.

Copyright

(Copyright © 2021, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2021.12.020

PMID

unavailable

Abstract

In order to develop a more scientific management system of urban emergency shelters, ArcGIS was used to collect quantitative data of 36 shelters in Chengdu according to 7 indicators such as effective area. Then, ward method was applied to cluster them systematically, and 3 types of them were showed to be suitable according to results. Finally, characteristics and differences of these 3 types were analyzed, and dimensions of indexes were reduced by using principal component method so as to draw a characteristic scatter plot of these shelters. The results show that these 3 types of emergency shelters play a role of hub, core and supplement in urban earthquake disaster reduction, and they constitute an olive-shaped urban emergency shelter system. In order to apply this system, nonlinear classification model is obtained by BP neural network algorithm. The training set loss function converges after about 800 iterations, and classification accuracy of both training set and test set can reach as high as 100%. © 2021 China Safety Science Journal. All rights reserved.

Language: zh