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http://dx.doi.org/10.7731/KIFSE.2017.31.6.053

Prediction of Occupant Load Density using People Counting System in Discount Stores  

Seo, Dong-Goo (Building and Urban Research Institute, Korea Institute of Civil engineering and building Technology)
Hwang, Eun-Kyoung (Building and Urban Research Institute, Korea Institute of Civil engineering and building Technology)
Publication Information
Fire Science and Engineering / v.31, no.6, 2017 , pp. 53-59 More about this Journal
Abstract
The purpose of this study is to verify the suitability of the current standards by predicting the density of the occupant load density for discount stores. An internal data survey as well as an actual survey using a People Counting System (PCS) were employed to ascertain the number of occupants and 95% confidence interval of nationwide discount stores. According to the results of the actual survey, the time and days on which the maximum number of occupants were reached was from 16:00 to 18:00 and Christmas Eve and the weekend before New Year's Day, respectively. From the results of the maximum number of occupants, a regression equation was derived from the relationship between the internal data and the amount of sales, and this equation was verified in a previous study. Thus, the internal data of 50 discount stores were analyzed using this process. As a result, the 95% confidence interval was determined to be $2.7{\sim}2.9m^2/pers.$ and the error level was not large compared to the domestic and foreign standards. Therefore, this study proposes that a conservative estimate of the standard occupant load density for discount stores is $2.7m^2/pers.$
Keywords
Occupants Load Density; People Counting System; Discount Stores; Evacuation Safety Design;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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