Worksite accidents quantification in construction: Safety relations with project performance metrics

Alkaissy, Maryam (2022) Worksite accidents quantification in construction: Safety relations with project performance metrics. PhD thesis, Monash University, Australia.

Abstract

The dynamic work environments in construction and civil infrastructure sectors remain susceptible to safety risks. These sectors are among the most hazardous industries with high rates of worksite accidents. Worksite accidents in the construction and infrastructure industries result in adverse cost, schedule, and quality deviations from project plans. Despite recent advancements in the theory and practice of construction and infrastructure worksite safety, there is currently a gap in quantitatively measuring the impacts of worksite accidents. This thesis aims to quantify the impacts of worksite accidents on cost, schedule, and quality of work, and support effective decision-making. Moreover, it explores features that determine the injury type at the individual level of analysis.

Item Type: Thesis (Doctoral)
Thesis advisor: Arashpour, Mehrdad
Uncontrolled Keywords: project management; construction safety; machine learning; statistical analysis; civil engineering
Index terms: statistical analysis, quality deviation, quantification, project management, work environment, project performance, injury, machine learning, construction safety, infrastructure sector, decision-making
Subjects: quality assurance, project management theory and practice, management, environmental health, industry analysis, measurement and scaling, decision analysis, health conditions and diseases, data science, artificial intelligence
Topics: Quality Management, Sustainability, Risk Management, Project Management, Health and Safety, Organizational Design, Digital Applications, Research Practice
Descriptive scope: 3 PCA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here