A Framework of Occupational Safety Hazard Analysis and Control to Support Enterprise Health and Safety Information Digitalization

  • Author / Creator
    Qiu, Changcui
  • Occupational safety hazards and risk management in construction industry are major worldwide concerns due to its unique dynamic nature of the working environment. Safety related documentations such as industry injury reports, physical demands analysis (PDA) and standard operating procedures (SOP) contain valuable information to support the risk control and prevention algorithm. Systematic analysis of the risk factors on cause-and effect relationship and safety attributes of the incident injury reports can make significant contributions to the construction industry and is an ideal approach for the occupational performance and risk evaluation. This thesis presents a blended study on occupational safety hazard control and risk assessment to support the enterprise health and safety digital information digitalization. The study first explores a strategy of attribute-based identification and degree of risk classification by applying distinctive quantitative analysis on level of injuries. Such analysis is conducted with the support of both physical demands analysis (PDA), standard operating procedures (SOP) and a large number of incident reports. To further expose the causality links and relation analysis of potentially hazardous activities and construction hazards, data mining analysis is then carried out following the attribute-based risk assessment model by using the RapidMiner. Then, a conceptual digitalization framework is also proposed to assess digital information mapping and future predictive measurements for effective risk management and up-to-date risk factor evaluation. The study discussed how the digitalization framework is essential to the construction industry by exposing the common risks that the industry is currently facing. Finally, a health and safety (H&S) information flowchart, as well as an information management and control framework for the H&S department is also proposed. The blended analysis is expected to help the construction industry identify relationships on causes of safety hazards, key safety attributes and ergonomic characteristics, as well as the level of injury and their corresponding risk controls and preventions. The frameworks support H&S information digitalization and are expected to facilitate H&S information management to improve workplace productivity and efficiency.

  • Subjects / Keywords
  • Graduation date
    Spring 2023
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.