The Safety Management of Public Hazardous Materials with Structural Equation Modeling: The Place in Renwu/Tashe Industrial Park Area

碩士 === 國立高雄應用科技大學 === 土木工程與防災科技研究所 === 105 === Industry is the basis of economic development, and Kaohsiung is an important city of Taiwan's industry, which has large factories everywhere. Therefore, the safety management of public dangerous materials in the factory is closely related to life a...

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Bibliographic Details
Main Authors: CHANG,SUNG-NIEN, 張松年
Other Authors: Wang, Her-Yung
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/9vjf7v
Description
Summary:碩士 === 國立高雄應用科技大學 === 土木工程與防災科技研究所 === 105 === Industry is the basis of economic development, and Kaohsiung is an important city of Taiwan's industry, which has large factories everywhere. Therefore, the safety management of public dangerous materials in the factory is closely related to life and property for people. It is important issue that is how to strengthen the safety management from the point of view of prevention and reduce the accident rate. This research aimed at Renwu and Tashe Industrial Par in Kaohsiung City where the factories have the public hazardous materials with the amount of the control quantity in law. To construct the questionnaire, it has five phases and a total of 277 questionnaires were issued and 69% were valid. Through the statistical analysis such as descriptive statistics, correlation analysis, one-way analysis of variance and structural equation model, the study calculated the relationship coefficient and verified the hypothesis. In order to understand the significant differences between population attributes and phases, the study found that "structural safety" was only relevant for education and "location safety", "equipment safety", "safety management" were significant to population attributes. In Pearson correlation analysis, "prevention effectiveness" were significant with other phases. The relationship between external and internal variables, it applied the structural equation model to analysis the path coefficient. It was the most significant (the path coefficient was 0.676, p <0.001) from “structural safety” to "prevention effectiveness", and followed by "location safety" to "prevention effectiveness" (the path coefficient 0.653, p <0.05). The results may provide reference to the fire authorities and others on disaster prevention for public dangerous materials, and will make recommendations to follow-up researchers.