Arias, S (2014) Engineer manual 385 effectiveness: A study of predictive analytics. PhD thesis, Indiana State University, USA.
Abstract
Under the guidance of the United States Army Corps of Engineering Manual 385 (EM 385), the federal government has taken a stringent stance on construction safety. Using the mandated Occupational Safety and Health regulations and the 29 Code of Federal Regulation as a safety foundation, the EM 385 requires project-specific planning, continuous oversight and direct control of all safety activities. These mandates, required of every Department of Defense entity, focus on safety management not found within other federal agencies, in an attempt to reduce the number and severity of mishaps. This study looks for causation between the use of the EM 385 and the number and the severity of mishaps using three multiple regression analysis. The research population studied included construction contractors who performed work within various federal government agencies. The data was compiled using 2008 data that was merged using the federal construction spending data with mishap rates obtained from the OSHA Data Initiative (ODI). The explanatory variables considered in this research were EM 385 use, contractor size, project size, construction sector, pricing structure, solicitation procedure, OSHA region, disadvantaged business status and type of federal set-aside. The three dependent variables included the total case rate (TCR), the days away, restricted, and transferred (DART) rate, and the days away from work (DAFWII) rate. Analysis of this data revealed that there were no conclusive results showing a causal relationship between the EM 385 and a reduction in the number and severity of mishaps.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Burgher, K E and Maughan, G |
| Uncontrolled Keywords: | construction sector; population; construction safety; government; pricing; regulation; safety; construction contractors; construction contractors; United States; multiple regression; regression analysis |
| Index terms: | dependent variable, population, regression analysis, multiple regression analysis, construction sector, pricing, safety management, construction safety, construction spending, mandate, agency, United States, government agency, construction contractor, multiple-regression, engineer, regulation, effectiveness, occupational safety and health |
| Subjects: | sociology, administrative law, statistical analysis, demography, occupational health and safety management, profession, Geography, performance management, practitioner, political science, environmental health, economic analysis, industry analysis |
| Topics: | Geographical Context, Urban Studies, Sustainability, Legal Issues, Research Practice, Business Strategy, Health and Safety, Governance, Quality Management, Roles and Professions |
| Descriptive scope: | 4 PCTA |
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