Citation

Wang B, Wang T, Zhang L, Hu L. China Saf. Sci. J. 2019; 29(6): 152-157.

Copyright

(Copyright © 2019, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2019.06.025

PMID

unavailable

Abstract

In order to measure the trampling risk of crowds gathering places, a 4-variable risk assessment algorithm based on minimum width, slope, convergence and length was constructed. Firstly, the algorithm divides the accident HRSes into point-type nodes (PN), line-type nodes (LN) and surface-type nodes (SN). Then a risk measure function based on 4-variables was built to calculate risk values of the three kinds of nodes. Finally, the overall risk of the site was calculated according to the distribution of HRSes and the risk of each node. The results show that the proposed model can accurately identify the high-risk ENs and reasonably evaluate the overall trampling risk distribution of the site based on the quantitative calculation of the danger degree of three types of nodes. © 2019 China Safety Science Journal

Language: zh