Abstracts – Browse Results
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Akcamete, A (2011) A formal approach for managing facility change information and capturing change history as part of building information models (BIMs), Unpublished PhD Thesis, , Carnegie Mellon University.
Al-Dughaither, K A (1996) International construction financing strategies: Influential factors and decision-making, Unpublished PhD Thesis, , Carnegie Mellon University.
Amekudzi, A (1999) Uncertainty analysis of national highway performance measures in the context of evolving analysis models and data, Unpublished PhD Thesis, , Carnegie Mellon University.
Atasoy, G (2013) Visualizing and interacting with construction project performance information, Unpublished PhD Thesis, , Carnegie Mellon University.
Bello, M A (2012) Minimizing impediments to design for construction safety (DFCS) implementation on capital projects, Unpublished PhD Thesis, , Carnegie Mellon University.
Ben-Alon, L (2020) Natural buildings: Integrating earthen building materials and methods into mainstream construction, Unpublished PhD Thesis, , Carnegie Mellon University.
Coffelt, D P, Jr. (2008) Roof management improvement: Improving infrastructure management decision making through a consideration of total life cycle cost and deterioration, Unpublished PhD Thesis, , Carnegie Mellon University.
Dayanand, N (1996) Scheduling payments in projects: An optimization framework, Unpublished PhD Thesis, , Carnegie Mellon University.
Ergen, E (2005) Formalization of life-cycle data management of engineered-to-order components using advanced tracking technologies, Unpublished PhD Thesis, , Carnegie Mellon University.
Gordon, C (2006) A formalism and a framework for planning of sensor-based construction inspections, Unpublished PhD Thesis, , Carnegie Mellon University.
He, R (2023) Modeling of sustainable materials management systems: Hybrid science-based, data-driven approaches, Unpublished PhD Thesis, , Carnegie Mellon University.
Herabat, P (1997) A functional specification for a decision support system to select bridge analysis tools, Unpublished PhD Thesis, , Carnegie Mellon University.
Kiliccote, H (1997) A standards processing framework, Unpublished PhD Thesis, , Carnegie Mellon University.
Kiziltas, S (2008) An automated approach for developing integrated model-based construction project histories to support estimation of activity production rates, Unpublished PhD Thesis, , Carnegie Mellon University.
Lee, K J (2013) A formal and ontological approach to embed commissioning test protocol into building information model, Unpublished PhD Thesis, , Carnegie Mellon University.
Lee, S H (2009) Computational fieldwork support for efficient operation and maintenance of mechanical, electrical and plumbing systems, Unpublished PhD Thesis, , Carnegie Mellon University.
Ochoa Franco, L A (2004) Life cycle assessment of residential buildings, Unpublished PhD Thesis, , Carnegie Mellon University.
Pradhan, A R (2009) An approach for fusing data from multiple sources to support construction productivity analyses, Unpublished PhD Thesis, , Carnegie Mellon University.
Reich, Y (1991) Building and improving design systems: A machine learning approach, Unpublished PhD Thesis, , Carnegie Mellon University.
Reinhardt, J (2003) Navigational models for effective and efficient interaction with integrated product and process models on construction sites, Unpublished PhD Thesis, , Carnegie Mellon University.
Resendiz-Carrillo, D (1990) Risk-based framework for the selection of socially optimal dam safety goals, Unpublished PhD Thesis, , Carnegie Mellon University.
Rivard, H (1997) A building design representation for conceptual design and case-based reasoning, Unpublished PhD Thesis, , Carnegie Mellon University.
Sharrard, A L (2007) Greening construction processes using an input-output-based hybrid life cycle assessment method, Unpublished PhD Thesis, , Carnegie Mellon University.
- Type: Thesis
- Keywords: construction sector; case studies; construction project; construction site; environmental impact; life cycle; sustainable development
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304885089
- Abstract:
This research uses a life cycle assessment (LCA) framework to create a more specific and accurate estimate of the environmental impacts of construction processes. The construction industry is spatially and economically diverse, yet fragmented because of it depends on various specialized contractors, is always changing, and is occurring everywhere. Because the construction industry is so complex, modeling construction processes is required in order to better understand the specific environmental implications of these activities; this goal would be best achieved with the process LCA approach, though process LCAs are data intensive and time consuming given the unique nature of every construction project. Conversely, the input-output (I-O) LCA approach allows for a more inclusive view of the construction industry (i.e., on-site construction activities and its supply chain), which can be used to identify processes of principal concern. A combination of both approaches allows capitalization on each method's strengths. Consequently, a hybrid LCA framework produces a comprehensive analysis that includes the economy-wide effects of construction while addressing on-site construction activities. The I-O-based hybrid LCA framework selected for this research is based on Carnegie Mellon University's (CMU) Economic Input-Output Life Cycle Assessment (EIO-LCA) modeling tool. The I-O-based hybrid model was created by combining a new "Hybrid" feature that uses the EIO-LCA interface with updated and reformulated environmental effect vectors for EIO-LCA's thirteen construction sectors. The final stage of this research models a variety of construction case studies on the I-O-based hybrid LCA framework; these case studies demonstrate the model's broad applicability and which environmental impact categories significantly increased with the hybrid framework (e.g., gasoline, particulate matter, and global warming potential). The I-O-based hybrid LCA model for construction is intended to help decision-makers make more informed decisions regarding the construction industry, adding environmental quality and sustainable development as goals instead of unintentional benefits. The model's focus on construction site and supply chain activities helps identify improvement opportunities that may otherwise be missed; it also provides a holistic assessment that identifies priority areas for future research regarding construction's environmental impacts.