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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Code under the current and future climate change scenarios: the case for Jeddah in the hot and humid climate region, Unpublished PhD Thesis, , University of Liverpool.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execution in a developing country: an action research study of six international oil and gas companies in Nigeria, Unpublished PhD Thesis, School of Management, University of Liverpool.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Improving project performance on construction projects through stakeholder management-an action research inquiry, Unpublished PhD Thesis, , University of Liverpool.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orchestration: an empirical investigation of building information management in the digital built environment sector, Unpublished PhD Thesis, , University of Liverpool.
Al Hawsah, M O (2020) The impact of project sponsors' decisions on the success of projects: An action research study, Unpublished PhD Thesis, , University of Liverpool.
Al-Ashaikh, M H (1996) Project management in the public sector of Saudi Arabia, problems and solutions, Unpublished PhD Thesis, , University of Liverpool.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time and cost overruns and the effectiveness of risk response measure strategies in the Libyan construction industry, Unpublished PhD Thesis, Department of Architecture and Building Engineering, University of Liverpool.
Al-Hachami, Z (2020) Decision making in the oil and gas construction project management: structured VS discretionary, Unpublished PhD Thesis, , University of Liverpool.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T (2004) Stochastic regression modelling of cost and duration overrun of construction projects implemented in Kuwait, Unpublished PhD Thesis, Department of Architecture and Building Engineering, University of Liverpool.
- Type: Thesis
- Keywords: construction cost; duration; project organisation; variations; Monte Carlo simulation; questionnaire survey; simulation; probability; regression analysis; statistical analysis; Kuwait
- ISBN/ISSN:
- URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418590
- Abstract:
Construction cost and duration of construction projects are affected by various variables at varying degrees during the construction stage which is although considered to be only a part of the life-cycle of a construction projects' cost and duration, it is increasingly important for several reasons. The construction stage period demands the focus of attention of all the key participants in the construction process because it is during this period that the greatest part of the resources for a project is irreversibly committed. Furthermore, construction cost and duration are the basis for evaluating the success of a project and the efficiency of the project organisation. Researchers such as (Nkado, 1994, Kaming, 1997, EI-Mashaleh & Chasey, 1999, and Jovanovic, 1999) argued that the identification and prioritisation of cost and duration influencing factors are useful basis for modelling and predicting construction cost and duration variations. However, there is no consensus in the literature on the identification of those variables that affect stipulated, planned or achieved construction cost and duration of construction projects because researchers have largely viewed the subject from diverse perspectives. The present research study investigates the significant factors influencing construction cost and duration overrun during the construction stage of projects implemented in Kuwait by conducting a questionnaire survey which was designed incorporating 80 potential causes of construction cost and duration overruns grouped into nine major categories. A questionnaire manuscript was structured and mail distributed to a randomly selected set of 432 construction professionals in the Kuwaiti construction market, 203 completed questionnaires were received back achieving a 47% response rate for the conducted questionnaire survey. Participants were asked to rate, according to their experience and perception, the level of sensitivity of each construction cost and duration overrun variable included in the questionnaire. The rated cost and duration overrun variables were ranked according to their measured severity indices; and the influential variables to construction cost and duration overruns were identified and their relationships were analysed. The conducted statistical analysis of the data obtained from the questionnaire responses revealed that 27 contractor-related overrun factors, two client-related overrun factors, and two design-related overrun factors were viewed by the respondents to be highly important, relevant, and significant to cause construction cost and duration variations. Regression analysis techniques were applied to develop regression models that can predict the percentage cost and duration overrun of construction projects based on the identified significant cost and duration overrun variables revealed from the data analysis of the conducted questionnaire survey. The developed cost and duration overrun regression models were tested and validated against a data sample of 38 completed construction project cases that were not used during the modelling stage, it was found that the actual and model predicted values of the percentage cost and duration overrun have achieved a high correlation coefficient value of R = 0.95 indicating good fit by the developed regression models. Statistical analysis of the error measurement associated with the percentage cost and duration overrun predictions indicate that there is an average error of 0.87% in the %C.O.R. predictions, and 1.02% in the %D.O.R. predictions. The calculated coefficients of variation values for the developed %C.O.R. and %D.O.R. regression models were found to be approximately 16%, and 18% respectively. Stochastic modelling based on the application of Monte Carlo simulation techniques was conducted to predict the best-fitted-probability-distributions for all possible estimated outputs of the developed cost and duration overruns regression models. The conducted fitting process has revealed that the' Triangular' distribution was found to be the best-fit for the estimated %D.O.R. values, whereas the' LogNormal' distribution was found to be the best-fit for the estimated %C.O.R. values. The best-fittedprobability- distribution for the actual observed %D.O.R. values obtained from the testing data sample were found to be a 'Triangular' distribution indicating a perfect match with the estimated outputs of the %D.O.R. On the other hand, the' Weibull' and very closely the' LogNormal' distributions were found to be the best-fitted for the actual observed %C.O.R. values indicating a perfect match with the estimated %C.O.R. values obtained from the developed regression model as a result of the conducted Monte Carlo simulation.
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.