Abstracts – Browse Results
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Abuhussain, M (2020) An assessment of the Saudi Residential Buildings Envelope Code under the current and future climate change scenarios: the case for Jeddah in the hot and humid climate region, Unpublished PhD Thesis, , University of Liverpool.
Akade, S A (2017) Understanding the impact of culture on project execution in a developing country: an action research study of six international oil and gas companies in Nigeria, Unpublished PhD Thesis, School of Management, University of Liverpool.
Akinnola, P (2021) Improving project performance on construction projects through stakeholder management-an action research inquiry, Unpublished PhD Thesis, , University of Liverpool.
Aksenova, G (2020) The dark side of ecosystem orchestration: an empirical investigation of building information management in the digital built environment sector, Unpublished PhD Thesis, , University of Liverpool.
Al Hawsah, M O (2020) The impact of project sponsors' decisions on the success of projects: An action research study, Unpublished PhD Thesis, , University of Liverpool.
Al-Ashaikh, M H (1996) Project management in the public sector of Saudi Arabia, problems and solutions, Unpublished PhD Thesis, , University of Liverpool.
Al-Gathafi, M M (2005) Riskness of time and cost overruns and the effectiveness of risk response measure strategies in the Libyan construction industry, Unpublished PhD Thesis, Department of Architecture and Building Engineering, University of Liverpool.
Al-Hachami, Z (2020) Decision making in the oil and gas construction project management: structured VS discretionary, Unpublished PhD Thesis, , University of Liverpool.
Al-Omari, T (2004) Stochastic regression modelling of cost and duration overrun of construction projects implemented in Kuwait, Unpublished PhD Thesis, Department of Architecture and Building Engineering, University of Liverpool.
Alattyih, W (2015) Value creation and risk assessment for green building design in Saudi Arabia, Unpublished PhD Thesis, , University of Liverpool.
Aljarman, M (2016) Emerging risk from the application of building information modelling through the life cycle of projects, Unpublished PhD Thesis, Department of Architecture, University of Liverpool.
Alzaed, A (2012) User centered passive building design, Unpublished PhD Thesis, School of Architecture, University of Liverpool.
Alzahrani, A (2015) Uncovering the emerging risks from climate change scenarios and related climate change risk management in the building sector in the UK, Unpublished PhD Thesis, , University of Liverpool.
Alzahrani, S (2015) Dynamic simulation of the impact of risk events and risk cost in KSA PPP projects, Unpublished PhD Thesis, School of Engineering, University of Liverpool.
Bassanino, M N (1999) The perception of computer generated architectural images, Unpublished PhD Thesis, , The University of Liverpool (United Kingdom).
Binsarra, F A (2016) Uncovering the structure and the dynamic of information propagation in building, Unpublished PhD Thesis, School of Architecture, University of Liverpool.
Blyth, K A (2002) A computer model that forecasts the cash flow of building projects at the tender stage using stage payments, Unpublished PhD Thesis, School of Architecture and Building Engineering, University of Liverpool.
Elhag, T M S (2004) Tender price modelling: artificial neural networks and regression techniques, Unpublished PhD Thesis, School of Architecture & Building Engineering, University of Liverpool.
Evans, R C (2002) Dynamic cash flow forecasting model for construction contractors, Unpublished PhD Thesis, Department of Architecture and Building Engineering, University of Liverpool.
Feldbauer, R R (2019) Mindful project management: a framework to enhance underperformance managing large hospital builds by incorporating principles adapted from High Reliability Organizations, Unpublished PhD Thesis, School of Management, University of Liverpool.
Gee, S (2019) The development of an innovative, lean, mobile factory system to manufacture timber frame closed panels in temporary locations for use in the Assembly of Houses in the Affordable Rented Sector, Unpublished PhD Thesis, School of Architecture, University of Liverpool.
Gholami, E (2017) Exploiting BIM in energy efficient domestic retrofit: evaluation of benefits and barriers, Unpublished PhD Thesis, Department of Architecture, University of Liverpool.
Gkeredakis, E (2009) Explaining the distinctiveness of coordination through an in-depth study of a major construction project, Unpublished PhD Thesis, Management School, University of Liverpool.
Hepworth, A (2021) Decision-making in immature projects organisational environment: A mental model approach that influences conscientious critical thinking, Unpublished PhD Thesis, , University of Liverpool.
Ibrahim, A M (2019) A method to support leadership effectiveness in a construction project organisation in Nigeria, Unpublished PhD Thesis, School of Management, University of Liverpool.
Jervis, E (2015) Lowering CO2 emissions: a framework for overcoming institutional pressures and diffusing low carbon strategy throughout the construction supply chain, Unpublished PhD Thesis, School of Management, University of Liverpool.
Khodadadyan, A (2021) Living and future tools for risk assessment: an examination of the possibilities for fusion, Unpublished PhD Thesis, , University of Liverpool.
Kirkham, R J (2002) A stochastic whole life cycle cost model for a national health service acute care hospital building, Unpublished PhD Thesis, , University of Liverpool.
Kori, S i (2017) BIM business value creation for SME architectural firms in Nigeria using intellectual capital development, Unpublished PhD Thesis, School of Architecture, University of Liverpool.
Makwiranzou, C (2019) Building trust and managing risk between the client, consultant, and contractor in traditional and relational construction projects, Unpublished PhD Thesis, School of Management, University of Liverpool.
Morton, R R (1982) The speculative housebuilding industry in the nineteen seventies, Unpublished PhD Thesis, School of Architecture, University of Liverpool.
Munir, M (2020) Development of a building information modelling asset value realisation model, Unpublished PhD Thesis, School of Architecture, University of Liverpool.
Nizam Shaikh, R (2019) BIM-based investigation of total energy consumption in delivering buildings as a product, Unpublished PhD Thesis, , University of Liverpool.
Raimi, T (2017) Achieving customer satisfaction in a private housing organisation in Nigeria, Unpublished PhD Thesis, , University of Liverpool.
Salih, A (2020) Project management information system introduction: Challenges and remedies in a construction context, Unpublished PhD Thesis, , University of Liverpool.
Savva, C (2023) Lessons that can be learnt using action research strategies within TfL, Unpublished PhD Thesis, , The University of Liverpool (United Kingdom).
Sujan, S F (2020) A holistic and systemic model of collaboration in the AED industry, Unpublished PhD Thesis, , University of Liverpool.
Sutton, R M (2019) The development of a sustainable construction design process, Unpublished PhD Thesis, School of Engineering, University of Liverpool.
Tomlinson, J (1998) A premises occupancy cost forecasting model, Unpublished PhD Thesis, , The University of Liverpool.
Wanous, M (2000) A neurofuzzy expert system for competitive tendering in civil engineering, Unpublished PhD Thesis, Department of Architecture and Building Engineering, University of Liverpool.
Wellings, F (2005) The rise of the national housebuilder: A history of British housebuilders through the twentieth century, Unpublished PhD Thesis, , University of Liverpool.
Xi, J (2013) Evaluating the functional performance of small-scale public demountable buildings, Unpublished PhD Thesis, , University of Liverpool.
Zou, Y (2017) Building information modelling and knowledge-based risk management system, Unpublished PhD Thesis, School of Engineering, University of Liverpool.
- Type: Thesis
- Keywords: building information modelling; case-based reasoning; communication; data mining; decision making; information management; programming; risk management
- ISBN/ISSN:
- URL: https://doi.org/10.17638/03010103
- Abstract:
The use of Building Information Modelling (BIM) for construction project risk management has become a growing research trend. However, it was observed that BIM-based risk management has not been widely used in practice and two important gaps leading to this problem are: 1) very few theories exist that can explain how BIM can be aligned with traditional techniques and integrated into existing processes for project risk management; and 2) current BIM solutions have very limited support on risk communication and information management during the project development process. To overcome these limitations, this research proposes a new approach that two traditional risk management techniques, Risk Breakdown Structure (RBS) and Case-based Reasoning (CBR), can be integrated into BIM-based platforms and an active linkage between the risk information and BIM can be established to support the project lifecycle. The core motivations behind the proposed solution are: 1) a tailored RBS could be used as a knowledge-based approach to classify, store and manage the information of a risk database in a proper structure and risk information in RBS could be linked to BIM for review, visualisation and communication; and 2) knowledge and experience stored in past risk reports could contribute to avoiding similar risks in new situations and the most relevant cases can be linked to BIM to support decision making during the project lifecycle. The scope of this research is limited to bridge projects; however, the basic methods and principles could be also applied to other types of projects. This research is in three phases. In the first stage, this research analysed the conceptual separation of BIM and the linkage rules between different types of risk and BIM. Specifically, an integrated bridge information model was divided into four Level of Contents (LOCs) and six technical systems based on the analysis of the Industry Foundation Classes (IFC) specification, a critical review of previous studies and the author’s project experience. Then a knowledge-based risk database was developed through an extensive collection of risk data, a process of data mining, and further assessment and translation of the data. Built on the risk database, a tailored RBS was developed to categorise and manage this risk information and a set of linkage rules between the tailored RBS and the four LOCs and six technical systems of BIM was established. Secondly, to further implement the linkage rules, a novel method to link BIM, RBS, and Work Breakdown Structure (WBS) to be a risk management system was developed. A prototype system was created based on Navisworks and the Microsoft SQL Server to support the implementation of the proposed approach. The system allows not only the storage of risk information in a central database but also to link the related risk information in the BIM model for review, visualisation and simulation. Thirdly, to facilitate the use of previous knowledge and experience for BIM-based risk management, the research proposed an approach of combining the use of two Natural Language Processing (NLP) techniques, i.e. Vector Space Model (VSM) and semantic query expansion, and outlined a new framework for the risk case retrieval system. A prototype was developed using the Python programming language to support the implementation of the proposed method. Preliminary testing results show that the proposed system is capable of retrieving relevant cases automatically and to return, for example, the top 10 similar cases. The main contribution of this research is the approach of integrating RBS and CBR into BIM through active linkages. The practical significance of this research is that the proposed approach enables the development of BIM-based risk management software to improve the risk identification, analysis, and information management during the project development process. This research provides evidence that traditional techniques can be aligned with BIM for risk management. One significant advantage of the proposed method is to combine the benefits of both traditional techniques and BIM for lifecycle project risk management and have the minimum disruption to the existing working processes.