Abstracts – Browse Results
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Al-Otaibi, N T N H (1995) A knowledge-based systems approach to materials management for large construction projects, Unpublished PhD Thesis, , University of Toronto (Canada).
Chen, Y (2017) Factors affecting safety performance of construction workers: Safety climate, interpersonal conflicts at work, and resilience, Unpublished PhD Thesis, , University of Toronto (Canada).
El-Gohary, N (2008) Semantic process modelling and integration for collaborative construction and infrastructure development, Unpublished PhD Thesis, , University of Toronto (Canada).
Hyde, R A (1999) Educating engineers for environmentally sensitive practice, Unpublished PhD Thesis, , University of Toronto (Canada).
Kinawy, S N (2017) Customizing information delivery for citizens in transportation infrastructure projects: Towards active community participation in decision-making, Unpublished PhD Thesis, , University of Toronto (Canada).
Mahpour, A (2022) The application of data science to highway asset management investment strategies, Unpublished PhD Thesis, , University of Toronto (Canada).
- Type: Thesis
- Keywords: complexity; highway; asset management; decision making; funding; investment; learning; policy; preventive maintenance; machine learning
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2744895644
- Abstract:
Decision-making in project management is a complex process. A multitude of criteria are involved, their values are dynamically changing, and there is limited knowledge about their interactions and the influence of context on them. While causal decision-making systems over the last seven decades have contributed extensively to analyzing and understanding the complexity of decision-making, policy-makers still face many of the challenges listed above.The thesis showcases the role of non-causal decision-making. It showcases the use of machine-learning in supporting decision-making. This data-driven approach relies on discovering patterns from real-world data. In addition to bypassing the causality dilemma, good practice in machine-learning systems relies on the use of constantly updated data: as the world, in all its complexity and contextual changes, evolves, the outcome of the machine-learning systems changes accordingly.To narrow down the scope of the research, this thesis considered highway maintenance projects. In doing so, and given the non-causal nature of machine-learning, the contribution of this thesis is methodological: how to create approaches and means to implement machine-learning in decision-making given the scope and context of project management. As such, the outcomes of this research work should be valuable in guiding the decision-making process in other domains of project management Two real-world datasets were used in the analysis: one from the national highway database of Iran and the other from the asset management database of the City of Oshawa, Ontario. Given that the aim of this work was not to theorize about the role of machine-learning in project decision-making, the selected analyses were driven by the available data. The outcome is four different systems that can be part of a bigger puzzle, i.e. the aim was not to create a generic overarching and comprehensive model. This can be antithetical to the whole notion of data-driven systems. To this end, four research questions were addressed.The results of this thesis indicate that the road functional class and climate mattered to maintenance policy-making. Furthermore, the developed methodologies can improve budget allocation and levels of service; guide climate action policies; promote preventive maintenance; and enhance creating and effectively communicating sustained funding policies.
Mirahadi, S (2020) EvacuSafe: A smart evacuation management system for buildings, Unpublished PhD Thesis, , University of Toronto (Canada).
Naji Almassi, A (2011) Credit value adjusted real options based valuation of multiple-exercise government guarantees for infrastructure projects, Unpublished PhD Thesis, , University of Toronto (Canada).
Nik Bakht, M (2015) Analyzing social network discussions of infrastructure projects: towards a bottom-up decision making environment, Unpublished PhD Thesis, , University of Toronto (Canada).
Rodrigues Aragao, R (2018) Using network theory to manage knowledge from unstructured data in construction projects: Application to a collaborative analysis of the energy consumption in the construction of oil and gas facilities, Unpublished PhD Thesis, , University of Toronto (Canada).
Tang, Z (2005) Developing complete conditional probability tables from fractional data for Bayesian belief networks in engineering decision making, Unpublished PhD Thesis, , University of Toronto (Canada).
Tsenkova, S (1998) Private housebuilding and housing markets in transitional economies: The case of Bulgaria, Unpublished PhD Thesis, , University of Toronto (Canada).
Zachariah, J-A L (2003) Towards sustainable homes through optimization: An approach to balancing life cycle environmental impacts and life cycle costs in residential buildings, Unpublished PhD Thesis, , University of Toronto (Canada).
Zangeneh, P (2021) Knowledge representation and artificial intelligence for management of socio-technical risks in megaprojects, Unpublished PhD Thesis, , University of Toronto (Canada).
Zhang, J (2010) A social semantic web system for coordinating communication in the architecture, engineering & construction industry, Unpublished PhD Thesis, , University of Toronto (Canada).