A Study on the Structural Analysis for Fatal Industrial Accidents using Multivariate Analysis Methods

Autor: Hong-Cheol Lee, Seong-Jun Park, Jeong-Eun Im
Rok vydání: 2004
Předmět:
Zdroj: Journal of the Ergonomics Society of Korea. 23:23-34
ISSN: 1229-1684
DOI: 10.5143/jesk.2004.23.4.023
Popis: The importance of the industrial safety has been growing gradually as well as the prevention activities on industrial accidents. Industrial accident rates have been decreasing by the prevention activities. However, the fatal industrial accidents such as the death tend to increase and risk per accident has increased. The previous studies on the industrial accidents focus on the entire accidents. However, these studies are lacking for the fatal industrial accidents such as the death. The purpose of this paper is to analyze the characteristics and trend of death which occurred by industrial accident, based on the real data of deaths collected last 5 years from 1999 to 2003 in korea. This paper suggests a analysis method using MDS(MultiDimensional Scaling) that considers accidents variables and properties simultaneously. We evaluate MDPREF (Multidimensional Analysis of Preference Data), one of the MDS analysis, to know the relations between the type of industry and region as well as the type of industry and occupation. This paper finds the type of industry which has high possibilities of death by regional groups. In addition, we find the type of occupation which has high possibilities of death by the type of industry. These findings indicate that industrial classification should be differently controled according to type of occupation and region.
Databáze: OpenAIRE