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Abdel-Salam, A N (2018) Corporate social responsibility of construction and real estate development companies in developing countries: An assessment model, Unpublished PhD Thesis, , Purdue University.

Abduh, M (2000) Utility assessment of electronic networking technologies for design -build projects, Unpublished PhD Thesis, , Purdue University.

Ahmed, A (2012) Pavement damage cost estimation using highway agency maintenance, rehabilitation, and reconstruction strategies, Unpublished PhD Thesis, , Purdue University.

Al-Sinan, F M (1986) Evaluation of construction management contracts in developing countries, Unpublished PhD Thesis, , Purdue University.

Alqady, M (2012) Leveraging text content for management of construction project documents, Unpublished PhD Thesis, , Purdue University.

Anastasopoulos, P (2009) Infrastructure asset management: A case study on pavement rehabilitation, Unpublished PhD Thesis, , Purdue University.

Arman, M H R (2014) Using option theory to manage risks in highway winter operations, Unpublished PhD Thesis, , Purdue University.

Attallah, S O (2014) A life cycle analysis approach for the enhancement of sustainability decision-making in the construction industry using agent-based modeling, Unpublished PhD Thesis, , Purdue University.

Bayraktar, M E (2006) A decision model to determine the optimal time-cost trade off in highway work zone projects, Unpublished PhD Thesis, , Purdue University.

Beliveau, Y J (1984) A cost control model for on-site work activities for construction (estimating, cost-codes, forms), Unpublished PhD Thesis, , Purdue University.

Bhargava, A (2009) A probabilistic evaluation of highway project costs, Unpublished PhD Thesis, , Purdue University.

Brissi, S G (2021) Principles for the adoption of offsite construction in design and construction companies, Unpublished PhD Thesis, , Purdue University.

Cai, J (2020) Data-driven approach to holistic situational awareness in construction site safety management, Unpublished PhD Thesis, , Purdue University.

  • Type: Thesis
  • Keywords: accuracy; construction activities; construction sector; hazards; motivation; workforce; sensors; safety; construction site; construction worker
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/2829822315
  • Abstract:
    The motivation for this research stems from the promise of coupling multi-sensory systems and advanced data analytics to enhance holistic situational awareness and thus prevent fatal accidents in the construction industry. The construction industry is one of the most dangerous industries in the U.S. and worldwide. Occupational Safety and Health Administration (OSHA) reports that the construction sector employs only 5% of the U.S. workforce, but accounts for 21.1% (1,008 deaths) of the total worker fatalities in 2018. The struck-by accident is one of the leading causes and it alone led to 804 fatalities between 2011 and 2015. A critical contributing factor to struck-by accidents is the lack of holistic situational awareness, attributed to the complex and dynamic nature of the construction environment. In the context of construction site safety, situational awareness consists of three progressive levels: perception – to perceive the status of construction entities on the jobsites, comprehension – to understand the ongoing construction activities and interactions among entities, and projection – to predict the future status of entities on the dynamic jobsites. In this dissertation, holistic situational awareness refers to the achievement at all three levels. It is critical because with the absence of holistic situational awareness, construction workers may not be able to correctly recognize the potential hazards and predict the severe consequences, either of which will pose workers in great danger and may result in construction accidents. While existing studies have been successful, at least partially, in improving the perception of real-time states on construction sites such as locations and movements of jobsite entities, they overlook the capability of understanding the jobsite context and predicting entity behavior (i.e., movement) to develop the holistic situational awareness. This presents a missed opportunity to eliminate construction accidents and save hundreds of lives every year. Therefore, there is a critical need for developing holistic situational awareness of the complex and dynamic construction sites by accurately perceiving states of individual entities, understanding the jobsite contexts, and predicting entity movements.The overarching goal of this research is to minimize the risk of struck-by accidents on construction jobsite by enhancing the holistic situational awareness of the unstructured and dynamic construction environment through a novel data-driven approach. Towards that end, three fundamental knowledge gaps/challenges have been identified and each of them is addressed in a specific objective in this research.The first knowledge gap is the lack of methods in fusing heterogeneous data from multimodal sensors to accurately perceive the dynamic states of construction entities. The congested and dynamic nature of construction sites has posed great challenges such as signal interference and line of sight occlusion to a single mode of sensor that is bounded by its own limitation in perceiving the site dynamics. The research hypothesis is that combining data of multimodal sensors that serve as mutual complementation achieves improved accuracy in perceiving dynamic states of construction entities.

Castro-Lacouture, D (2003) B2b e-work intranet solution design for rebar supply interactions, Unpublished PhD Thesis, , Purdue University.

Chao, L-C (1994) An adaptive approach to evaluation of implementation prospects of new construction technologies, Unpublished PhD Thesis, , Purdue University.

Chen, F-C (2021) Deep learning studies for vision-based condition assessment and attribute estimation of civil infrastructure systems, Unpublished PhD Thesis, , Purdue University.

Chen, Y (2013) Measurement models of building information modeling maturity, Unpublished PhD Thesis, , Purdue University.

Chen, Y-T (2008) Automated on-site productivity evaluation using RFID and GPS, Unpublished PhD Thesis, , Purdue University.

Cheng, T-m (1996) Impact of front-end loading on construction project cash-flows: A mathematical approach for determination of unit prices in bidding, Unpublished PhD Thesis, , Purdue University.

Cory, C A (2019) Building information modeling (BIM) - to prepare current construction management students for tomorrow’s construction careers, Unpublished PhD Thesis, , Purdue University.

Cui, Q (2005) A dynamic model for profitability analysis of construction firms: Towards complexity, learning, and uncertainty, Unpublished PhD Thesis, , Purdue University.

de Cresce El Debs, L (2016) A mixed methods study on choice of media influence on construction industry communication, Unpublished PhD Thesis, , Purdue University.

Debella, F M (2020) Profitability improvement of construction firms through continuous improvement using rapid improvement principles and best practices, Unpublished PhD Thesis, , Purdue University.

Georgy, M E (2000) Utility-based neurofuzzy approach for engineering performance assessment in industrial construction projects, Unpublished PhD Thesis, , Purdue University.

Ghahari, S (2021) Detecting and measuring corruption and inefficiency in infrastructure projects using machine learning and data analytics, Unpublished PhD Thesis, , Purdue University.

Gkritza, K (2006) Economic development effects of highway investment, Unpublished PhD Thesis, , Purdue University.

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Han, S (2005) Application modeling of the conventional and the GPS-based earthmoving systems, Unpublished PhD Thesis, , Purdue University.

Hassan, M E M (2017) Modeling the macroeconomic impact of construction spending as a public policy tool - the case of employment, Unpublished PhD Thesis, , Purdue University.

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Hijazi, A M (1989) Simulation analysis of linear construction processes, Unpublished PhD Thesis, , Purdue University.

Holt, E A (2015) Analysis of the learning styles of undergraduate students in construction management bachelor degree programs in the US, Unpublished PhD Thesis, , Purdue University.

Hong, T (2005) Life-cycle cost assessment model of composite materials in construction, Unpublished PhD Thesis, , Purdue University.

Hsie, M (1994) Computer-aided acceptance planning: Generating quality acceptance parameters and stratified sampling plans through neural network learning ability and CAD modeling, Unpublished PhD Thesis, , Purdue University.

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Irizarry, J (2005) Safety issues in steel erection: Impact on task durations and risk perception of ironworkers, Unpublished PhD Thesis, , Purdue University.

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Jen, H (2005) Web-based construction process simulation framework, Unpublished PhD Thesis, , Purdue University.

Jeong, J G (2006) A framework for supply chain modeling and optimization for the manufactured housing industry, Unpublished PhD Thesis, , Purdue University.

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Johnson, P (2002) A quantitative assessment of knowledge and perceptions of civil engineering, Unpublished PhD Thesis, , Purdue University.

Kang, K (2018) Enhancing critical capacity of infrastructure supply chain to improve resilience of associated communities and infrastructure to disaster, Unpublished PhD Thesis, , Purdue University.

Khallaf, R (2016) Interactional risks associated with parties to a PPP project, Unpublished PhD Thesis, , Purdue University.

Khurshid, M B (2010) A framework for establishing optimal performance thresholds for highway asset interventions, Unpublished PhD Thesis, , Purdue University.

Kim, J (2004) Delay forecasting using a vulnerability index, Unpublished PhD Thesis, , Purdue University.

Lee, J H (2004) Object-based learning method in civil engineering, Unpublished PhD Thesis, , Purdue University.

Lee, S (2001) Simulation analysis of productivity variation affected by accident risk in underground construction operations, Unpublished PhD Thesis, , Purdue University.

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Mahdavi, A (2016) A system-of-systems approach to ex-ante analysis of profit potential of a project portfolio, Unpublished PhD Thesis, , Purdue University.

Martinez, L H (2001) A neuro-fuzzy decision support system for risk analysis of revenue-dependent infrastructure projects, Unpublished PhD Thesis, , Purdue University.

Mohamed, S Y (2020) Stochastic performance and maintenance optimization models for pavement infrastructure management, Unpublished PhD Thesis, , Purdue University.

Mostafavi, A (2013) Ex-ante assessment of financial innovation policies in infrastructure system-of-systems, Unpublished PhD Thesis, , Purdue University.

Naderpajouh, N (2013) Interactional analysis of emergent risks in institutionally diverse construction projects, Unpublished PhD Thesis, , Purdue University.

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Panzeter, A A (1993) A methodology for modeling the cost and duration of concrete highway bridges, Unpublished PhD Thesis, , Purdue University.

Park, J (2017) Dynamic multi-dimensional BIM for total construction as-built documentation, Unpublished PhD Thesis, , Purdue University.

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