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Abdelhamid, T S (1999) Measuring and evaluating physiological demands of construction work, Unpublished PhD Thesis, , University of Michigan.

  • Type: Thesis
  • Keywords: motivation; workforce; in-situ; women; fatigue; health and safety; occupational health and safety; productivity; safety; construction worker; time series
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/304530906
  • Abstract:
    Construction craft work is physically demanding. Physically demanding work leads to physical fatigue that leads to decreased productivity and motivation, inattentiveness, poor judgment, poor quality work, job dissatisfaction, accidents, and injuries. In the 1950s and 1960s, there was a surge of interest in applying work physiology to investigate the physiological demands of construction work. Since then, the workforce has changed to include more women and more older workers, and the work itself has changed. Recent advances in computer and microprocessor technology enable scientists to efficiently measure the physiological response to work. In this research, physiological measures of energy expenditure, including oxygen uptake and heart rate data, were collected for 100 construction workers performing 130 actual construction work activities in 12 trades. The average oxygen uptake for the measured construction activities was 0. 82 liter · min -1 (±0. 22 liter · min-1). The average heart rate for the measured construction activities was 108 beats · min-1 (±17 beats · min-1). This research also considers relative physiological workload, the ratio of absolute workload expressed as mean oxygen uptake (VO2) and individual work capacity expressed as maximum oxygen uptake (VO2max). Determining VO2max is rather impractical, and may even be dangerous for unfit construction workers. Alternatively, a Time Series Analysis based statistical technique was developed to predict the relative physiological workload from sub-maximal oxygen uptake data collected in-situ. The new technique was validated on eight subjects. The standard errors in predicting %VO 2max and VO2max are ±3. 2% and ±0. 28 liter · min-1, respectively, which is much better than using the standard VO2-HR method. Using the new technique developed in this thesis, the average relative workload for the 100 construction workers was predicted to be 26 percent (i.e. , 26%VO2max ±6 percent). The lowest and highest average predicted relative workload were 15 and 48 percent, respectively. The absolute and relative workload data was evaluated against published guidelines for acceptable levels of physical performance in industrial settings. The findings of this research reveal that based on two physiological indicators of work load: oxygen uptake and heart rate, construction work is classified as moderate to heavy work. Moreover, evaluations of both absolute and relative workloads reveal that a significant number of craft workers (20 to 40%) routinely exceed generally accepted physiological thresholds for manual work. By using the methods developed and results advanced in this research and by promoting and applying concepts of work physiology at the workplace, many improvements will find their way to the occupational health and safety of the construction workforce. The methods described in this research have widespread applications in identifying excessively demanding construction tasks so the work can be better matched to the abilities of the workers. This thesis has developed the foundation for further research and practical applications regarding the physical demands of construction work.

Al-Hussayen, M A (1980) Building problems in Saudi Arabia: The need for building research, and the development of building research approaches, Unpublished PhD Thesis, , University of Michigan.

Awwad, R E (2010) Neutral and risk-sensitive models for competitive bidding methods based on average and order statistics, Unpublished PhD Thesis, , University of Michigan.

Behzadan, A H (2008) Arviscope: Georeferenced visualization of dynamic construction processes in three-dimensional outdoor augmented reality, Unpublished PhD Thesis, , University of Michigan.

Chen, T Y-J (2019) Advancing quantitative risk analysis for critical water infrastructure, Unpublished PhD Thesis, , University of Michigan.

Choi, B (2018) The role of socio-cognitive process in construction workers' safety behaviors, Unpublished PhD Thesis, , University of Michigan.

Chung, K H Y (2022) Data fusion, hedonic pricing, and blockchains: Lowering investment barriers for sustainable infrastructure, Unpublished PhD Thesis, , University of Michigan.

Colberg, M R (1950) Federal control of construction following World War II, Unpublished PhD Thesis, , University of Michigan.

Dias, A, Jr. (1994) A managerial and financial study on the involvement of private sector companies in the development, construction, operation, and ownership of infrastructure projects, Unpublished PhD Thesis, , University of Michigan.

Dzeng, R-J (1995) CasePlan: a case-based planner and scheduler for construction using product modeling, Unpublished PhD Thesis, Department of Civil and Environmental Engineering, University of Michigan.

Han, S-H (2004) A working prototype of distributed collaborative architectural design system, Unpublished PhD Thesis, , University of Michigan.

Hasell, M J (1983) Gaming simulation: A communication tool for architects and designers, Unpublished PhD Thesis, , University of Michigan.

Henn, R L (2013) Moving targets: Managing interinstitutional relationships in green building design and construction, Unpublished PhD Thesis, , University of Michigan.

Howe, A S (1998) A new paradigm for life-cycle management of kit-of-parts building systems, Unpublished PhD Thesis, , University of Michigan.

Ismail, I A (2014) Financial cash flow determinants of company failure in the construction industry, Unpublished PhD Thesis, , University of Michigan.

Jebelli, H (2019) Wearable biosensors to understand construction workers' mental and physical stress, Unpublished PhD Thesis, , University of Michigan.

Kabo, F W (2006) Low-cost housing design and provision: A case study of Kenya, Unpublished PhD Thesis, , University of Michigan.

Kalampakorn, S (2000) Stages of construction workers' use of hearing protection, Unpublished PhD Thesis, , University of Michigan.

Khoury, H M (2009) Context-aware information access and retrieval for rapid on-site decision making in construction, inspection and maintenance of constructed facilities, Unpublished PhD Thesis, , University of Michigan.

Kirk, S J (1992) Improved design decision-making using small group value engineering gaming/simulation, Unpublished PhD Thesis, , University of Michigan.

Lee, H-S (1992) Automated interactive cost estimating system for reinforced concrete building structures, Unpublished PhD Thesis, , University of Michigan.

Leu, S-S (1992) Object-oriented representation model of construction technology information, Unpublished PhD Thesis, , University of Michigan.

Liang, C-J (2021) Affecting fundamental transformation in future construction work through replication of the master-apprentice learning model in human-robot worker teams, Unpublished PhD Thesis, , University of Michigan.

Liu, M (2019) Video-based human motion capture and force estimation for comprehensive on-site ergonomic risk assessment, Unpublished PhD Thesis, , University of Michigan.

Lundeen, K M (2019) Autonomous scene understanding, motion planning, and task execution for geometrically adaptive robotized construction work, Unpublished PhD Thesis, , University of Michigan.

Martin, S D (1981) Building contracts in classical Roman law, Unpublished PhD Thesis, , University of Michigan.

Mason, B (2023) Advancing autonomous green stormwater infrastructure, Unpublished PhD Thesis, , University of Michigan.

McIntosh, J F (1984) The application of the relational data model to computer-aided building design, Unpublished PhD Thesis, , University of Michigan.

Odeh, A M (1992) CIPROS: Knowledge-based construction integrated project and process planning simulation system, Unpublished PhD Thesis, , University of Michigan.

Paunikar, A (1983) Performance constraints of housing prefabricators in India: 3 case studies, Unpublished PhD Thesis, , University of Michigan.

Rohlman, R E (1978) Construction management: A comparison of management services, time, cost and supervision performance factors on public school projects in Michigan, Unpublished PhD Thesis, , University of Michigan.

Sherif, A H (1988) The choice of construction technology in developing countries: A socially conscious economic assessment approach, Unpublished PhD Thesis, , University of Michigan.

Srisuwanrat, C (2009) The sequence step algorithm: A simulation-based scheduling algorithm for repetitive projects with probabilistic activity durations, Unpublished PhD Thesis, , University of Michigan.

Stino, R M (1999) Effect of spatial variables on bricklaying productivity and ergonomics, Unpublished PhD Thesis, , University of Michigan.

Sugrue, D P (2021) Alternative financing for harbor infrastructure using big data analytics in the great lakes waterway, Unpublished PhD Thesis, , University of Michigan.

Taemthong, W (2002) Accounting for the impact of learning and scheduled overtime: Developing dynamic models to estimate and control labor time and labor cost, Unpublished PhD Thesis, , University of Michigan.

Tharachai, T (2004) Multiple project resource scheduling for construction, Unpublished PhD Thesis, , University of Michigan.

Thomas, A (2017) Modeling occupant behavior, systems life cycle performance, and energy consumption nexus in buildings using multi-method distributed simulation, Unpublished PhD Thesis, , University of Michigan.

Xiao, Y (2017) Three-dimensional reconstruction and modeling using low-precision vision sensors for automation and robotics applications in construction, Unpublished PhD Thesis, , University of Michigan.

Zouein, P P (1995) MoveSchedule: a planning tool for scheduling space use on construction sites, Unpublished PhD Thesis, Department of Civil and Environmental Engineering, University of Michigan.