研究生: |
黃千容 Chian-rong Huang |
---|---|
論文名稱: |
應用貝氏網路建構墜落風險評估模型之研究 Application of Bayesian Network in Establishing Fall Type Accident Risk Assessment Model |
指導教授: |
呂守陞
Sou-Sen Leu |
口試委員: |
楊亦東
I-Tung Yang 王裕仁 Yu-ren Wamg |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 營建工程系 Department of Civil and Construction Engineering |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 中文 |
論文頁數: | 137 |
中文關鍵詞: | 風險評估 、墜落 、貝氏網路 、設計規劃 |
外文關鍵詞: | Risk assessment, Fall, Bayesian network, Design |
相關次數: | 點閱:252 下載:8 |
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營造施工災害不僅僅會造成人員的傷亡,還會致使施工進度延滯、工程成本提高等危害,營造業者除了可能有刑事相關責任,對於企業的形象也有所損傷。近年來,為了降低災害的發生,除了施工期間的安全管理,施工前規劃設計的安全評估也愈來愈受到重視,許多先進國家在法令體系上紛紛賦予規劃設計單位對於施工安全責任之規定,冀以達到施工前風險避免之效。鑑此,本研究欲建立一評估模型,針對施工前所得之資訊進行風險評估,希望以量化之方式進行施工前的安全評估。
然而,由於營建業多樣化的作業、技術與工作環境的複雜,將所有的災害類型納入評估模型中相當困難,加上歷年營造業災害中墜落導致的重大事故發生機率最高,因此本研究將針對墜落事件做為風險之考量,利用貝氏網路之理論建立一施工前墜落風險評估模型。
Construction accident not only will result in casualties, but also will cause delay for construction progress, increase project cost and harm in working environment. Apart from being probably addressed on possible criminal responsibility, construction company will also suffer damage regarding to its business image. In order to reduce the accident occurrence, highly important attention not only paid to safety management during construction method, but also to pre-construction safety planning and design assessment. Many advanced countries had included pre-construction safety planning and design rules in their national construction code in order to effectively avoid accident risk during pre-construction stage. Based on above fact, thus this research establish a assessment model and further carry out pre-construction safety risk assessment using qualitative analysis based on the information acquired during pre-construction stage.
On the other hand, due to the diversified construction assignment, complexity in construction technique and working environment, it will be extremely difficult to involve all accident types in the assessment model. In addition, as “fall” type accident recent rate is the highest in the construction industry, therefore this research will only consider “fall” type accident risk and finally using Bayesian Network Theory in establishing Pre-Construction Fall Risk Assessment Model.
中文方面:
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16. 潘家琳(2005)。利用動態貝氏網路分析基因網路的調控。慈濟大學醫學資訊研究所碩士論文。
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英文方面:
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