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Abdirad, H (2020) Developing digital project delivery routines around frequent disruptions: How do AEC organizations respond to disruptive information exchange requirements?, Unpublished PhD Thesis, , University of Washington.

Al-Saleh, F S (1980) A case study and evaluation of a technological delivery system: Construction management in Saudi Arabia, Unpublished PhD Thesis, , University of Washington.

Astaneh Asl, B (2019) Effects of using virtual reality on AEC team collaboration, Unpublished PhD Thesis, , University of Washington.

Azari Najafabadi, R (2013) An evaluation framework for the integrated design process of sustainable high-performance buildings, Unpublished PhD Thesis, , University of Washington.

Fardhosseini, M S (2021) A quantitative analysis of the impact of integrating digital technology for formwork fabrication on human factors perspectives, Unpublished PhD Thesis, , University of Washington.

Gambatese, J A (1996) Addressing construction worker safety in the project design, Unpublished PhD Thesis, , University of Washington.

Gutub, S (2019) Framework for the implementation process of public-private partnerships (P3s) in highway projects, Unpublished PhD Thesis, , University of Washington.

Ho, C T T (2019) Application of optimization to the production planning of construction prefabrication supply chains, Unpublished PhD Thesis, , University of Washington.

Homayouni, H (2015) Aligning contractual, technological, and organizational elements to achieve higher performance buildings: A qualitative comparative analysis approach, Unpublished PhD Thesis, , University of Washington.

Lee, N H (2009) A framework for developing new visualization schemes for construction project performance monitoring, Unpublished PhD Thesis, , University of Washington.

Lee, W (2018) Use of wearable sensors to unveil roles of task demands-personal resources and burnout on performance of construction workers, Unpublished PhD Thesis, , University of Washington.

Lewis, N S (2023) Development of an open-source methodology for simulation of civil engineering structures subject to multi-hazards, Unpublished PhD Thesis, , University of Washington.

Lowry, M B (2008) An online analytic-deliberative approach to public participation for transportation investment decisions, Unpublished PhD Thesis, , University of Washington.

Manninen, D L (1981) Labor force migration associated with nuclear power plant construction, Unpublished PhD Thesis, , University of Washington.

  • Type: Thesis
  • Keywords: duration; market; skills; construction project; construction site; crafts; nuclear power; employment; labor force migration; markets; migration; construction worker
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/303175898
  • Abstract:
    Construction of a nuclear power plant requires a large and rather specialized work force. While nuclear power plants are typically constructed in relatively rural surroundings, often they are located within commuting distance of large urban areas. In most cases adequate numbers of workers, expecially workers with more specialized skills, are not available in the immediate area. To the the extent that the local labor market is unable to provide sufficient numbers of workers, the site attracts workers from the regional and national labor markets. However, the extent of inmigration associated with large construction projects varies considerably from site to site, depending upon the nature of the region in which the site is located. This issue was addressed by examining worker survey data from several nuclear power plant construction sites to determine the proportion of workers who moved to the area to work at the various sites. The major objectives of the study were (1) to identify the extent of variation in migrant proportions across sites and across various worker groups, and (2) to identify the factors underlying the observed variation in craft-specific migrant proportions across sites. Data from 28 surveys conducted at 13 nuclear power plant construction sites were included in the analysis. Considerable variation in migrant proportions, overall and for various worker groups, was observed across sites. However, systematic differences among various worker groups were also observed. Migrant proportions were considerably higher among nonconstruction workers than among construction workers. Similarly, significant differences were observed when nonconstruction workers were subdivided into management and clerical groups and when construction workers were grouped by relative scarcity of labor. The data were then examined within a multivariate analysis framework to identify the factors underlying the observed variation in migrant proportions across crafts and sites. This involved the specification and estimation of a model in which craft-specific migrant proportions were expressed as a function of the following factors: (1) income potential associated with employment at the site; (2) Craft-specific labor force requirements; (3) local availability of labor; (4) competing demand for labor in the region; and (5) various regional characteristics. The estimated equations explained 71 and 86 percent of the observed variation in migrant proportions among the construction and nonconstruction groups, respectively. Among nonconstruction workers most of the variation in migrant proportions was explained by the large difference between the management and clerical groups. However, other variables reflecting the local availability of labor, competing demand for labor in the region and regional attractiveness were also found to be important. Among construction workers, both hourly and overtime wage rates were positively related to migrant proportions. With respect to labor requirements, expected duration and continuity of employment and expected growth of employment opportunities at the site at the time of the survey were important in explaining migrant proportions across crafts and sites. Competing demand for labor at other power plant projects within 50 miles of the site and distance from the nearest union hiring hall served as reasonably good proxy measures for the demand and supply of labor. Finally, several regional characteristic variables, which were included as a reflection of the attractiveness of an area to inmigrating workers were found to be important considerations underlying construction worker relocation decisions.

Mukherjee, A (2005) A multi-agent framework for general purpose situational simulations in construction management, Unpublished PhD Thesis, , University of Washington.

Ottesen, J (2019) CPM schedule density: A new predictor for productivity loss, Unpublished PhD Thesis, , University of Washington.

Pathak, C (2021) Electric vehicle infrastructure decision support system, Unpublished PhD Thesis, , University of Washington.

Pratama, L A (2023) Immersive visualization intervention on pull planning, Unpublished PhD Thesis, , University of Washington.

Shang, L (2019) Achieving public agency goals in public-private partnerships using innovative payment mechanisms, Unpublished PhD Thesis, , University of Washington.

Son, J (2011) An integrated model of evolution of project teams in large-scale construction projects, Unpublished PhD Thesis, , University of Washington.

Stevens, J D (1981) A study of the relationship between perturbations in construction time schedules and potential construction claims, Unpublished PhD Thesis, , University of Washington.

Tench, B (2022) Designing restoration: Protecting and restoring our attention through participatory design, Unpublished PhD Thesis, , University of Washington.

Wang, S (2017) Integrated approach and analysis of reliability, robustness, resilience and infrastructure applications, Unpublished PhD Thesis, , University of Washington.

Yamaura, J T (2018) The value of cloud computing technology in public transportation construction, Unpublished PhD Thesis, , University of Washington.

Zhang, Z (2021) Participatory ergonomics in construction: Enabling practice-to-research-to-practice via the 2safemodel, Unpublished PhD Thesis, , University of Washington.

Zokaei Ashtiani, M (2022) Data-driven sustainability assessment in roadway infrastructure construction, Unpublished PhD Thesis, , University of Washington.