by Kwan Chi Ping. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1988. / Bibliography: leaves 53-54.

During the past 10 years, construction was the leading industry of occupational fatalities when compared to other goods producing industries in the US. This is partially attributed to ineffective safety management strategies, specifically lack of automated construction equipment and worker monitoring. Currently, worker safety performance is measured and recorded manually, assessed subjectively, and the resulting performance information is infrequently shared among selected or all project stakeholders. Accurate and emerging remote sensing technology provides critical spatio-temporal data that has the potential to automate and advance the safety monitoring of construction processes. This doctoral research focuses on pro-active safety utilizing radio-frequency location tracking (Ultra Wideband) and real-time three-dimensional (3D) immersive data visualization technologies. The objective of the research is to create a model that can automatically analyze the spatio-temporal data of the main construction resources (personnel, materials, and equipment), and automatically measure, assess, and visualize worker's safety performance. The research scope is limited to human-equipment interaction in a complex construction site layout where proximities among construction resources are omnipresent. In order to advance the understanding of human-equipment proximity issues, extensive data has been collected in various field trials and from projects with multiple scales. Computational algorithms developed in this research process the data to provide spatio-temporal information that is crucial for construction activity monitoring and analysis. Results indicate that worker's safety performance of selected activities can be automatically and objectively measured using the developed model. The major contribution of this research is the creation of a proximity hazards assessment model to automatically analyze spatio-temporal data of construction resources, and measure, evaluate, and visualize their safety performance. This research will significantly contribute to transform safety measures in construction industry, as it can determine and communicate automatically safe and unsafe conditions to various project participants located on the field or remotely.

D.Phil. (Engineering Management) / Considering its share in and impact on national economies, the construction industry receives additional attention in terms of its performance and productivity especially small and medium construction enterprises (SMEs). However, with the extensive amount of workforce it employs, health and safety (H&S) has become important. Since the industry has the reputation of poor H&S performance especially SMEs. It has been accepted that H&S management practices constitute a vehicle to improve H&S performance, which reflects the H&S culture of the organization. However, the challenge is to determine what needs to be measured and practiced by SMEs at project level. The main objective of this thesis was to develop a construction H&S performance improvement model at project level of SMEs. A triangulation approach was used to develop the model using Delphi method and questionnaire survey. The Delphi method straddles between quantitative and qualitative research. Thirty H&S experts were purposively sampled and 20 agreed to participate in the Delphi process. However, 16 H&S experts completed the four iterations. The experts reached consensus on 31 statements or leading indicator metrics categorized in seven H&S elements/constructs. The final refined H&S conceptual model consisted of one independent construct, four intervening constructs and one dependent construct. Furthermore, a quantitative survey with 1,450 conveniently sampled SMEs was conducted. A total of 228 questionnaires were returned of which 216 were deemed usable representing 15.72% response rate. Exploratory factor analysis (EFA) using Statistical Package for the Social Sciences (SPSS) version 20 using Maximum Likelihood with Promax rotation was used to determine the validity and reliability of the six H&S constructs of the refined conceptual model. The six H&S construct and 40 statements were retained as valid and reliable measures of H&S for SMEs at project level. A further validity and reliability test was conducted using confirmatory factor analysis (CFA) using Mplus version 6.1, software program. The CFA revealed acceptable model fit of the measurement model after the re-specification of some of the measurement models. Finally the structural model was tested using Mplus version 6.1 to determine the constructs relationship. The findings revealed that the structural model data was acceptable and of the 12 hypotheses tested, six were significant. However, four significant relationships influenced H&S performance. The influential relationships were; upper management commitment and involvement in H&S indirectly influenced H&S performance through project supervision and H&S resources and training. These three proactive H&S elements are posited to be essential to improve H&S performance at project level of SMEs. Furthermore, one-way analysis of variance (ANOVA) established no statistical significant difference on the respondents’ perception of H&S model elements. However, t–test revealed statistical significant difference on the respondents’ perception on H&S performance, upper management commitment and involvement in H&S and H&S resources and training. The respondents with post-matric qualification strongly agreed that the way they managed H&S at project level had improved their H&S performance. Furthermore, they strongly agreed that upper management are committed and involved in H&S and H&S resources and training were provided. Multiple linear regression analysis was further used to test the influence of demographic variables on the H&S model elements. The selected demographic variables were; experience in the construction industry, education level and the number of employees. The result indicated that the demographic variables were not good predicators of the H&S model elements. Finally, the use of self-reported questionnaire and majority of respondents conducting business in Gauteng province in South Africa were some of the limitations in this study.

Health and safety issues have always been a major problem and concern in the construction industry. Wherever reliable records are available, construction is found to be one of the most dangerous on health and safety criteria, particularly in developing countries. Efforts have been made to address this problem, but the results have been far from satisfactory, as construction accidents continue to dominate the overall construction industry. Despite the programs implemented by government authorities and measures introduced by companies themselves, the number of construction accidents still remains alarmingly high. In developing countries, safety rules usually do not exist; if they do, the regulatory authority is usually very weak in implementing such rules effectively. The UAE is one of developing countries that are currently enjoying a strong growth in construction activities. Unfortunately, some sectors of its construction industry suffer from poor safety and health conditions. Any framework of the existing occupational and health conditions is fragmented and inadequately enforced, making construction sites more hazardous. It may even be argued that relevant regulations are outdated and irrelevant in day-to-day construction operations. From this perspective this research explores the approved methods adopted in the UK in order to improve the existing code of practice in the UAE and thus introduce the foundations on which appropriate health and safety systems may be built. A framework for Health and Safety management in the UK is suggested. To reach this objective an overview of the published materials as well as the legislation has been undertaken. Questionnaires were designed and distributed to potential construction industry players and interview sessions have been conducted to meet the first objective of the project which to determine the health and safety measures currently applied on construction sites. In addition, structured interviews were carried out with selected managers from a selection of construction and oil companies, medium and large size. This thesis specifically, it investigates the safety perceptions, attitudes, and behaviour of construction workers and management safety practices. Based upon the analysis of the results, this study has demonstrated that the majority of those questioned UAE construction companies have a poor degree of risk awareness and do not seems to take health and safety as an important issue.

published_or_final_version / Real Estate and Construction / Master / Master of Science in Construction Project Management

published_or_final_version / Real Estate and Construction / Master / Master of Science in Construction Project Management

published_or_final_version / Real Estate and Construction / Master / Master of Science in Construction Project Management

published_or_final_version / Business Administration / Master / Master of Business Administration

published_or_final_version / abstract / Architecture / Master / Master of Science in Interdisciplinary Design and Management

published_or_final_version / abstract / Civil Engineering / Doctoral / Doctor of Philosophy