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Abohilal, S A (2017) Investigating the roles of leaders, managers and their mutual roles in aligning strategy and project management in public sector organisations: the case of the Kingdom of Saudi Arabia, Unpublished PhD Thesis, , Brunel University.
Adams, K A (2023) A multi-hazard cascading risk model for coastal rail infrastructure: numerical modelling & engineering failure analysis, Unpublished PhD Thesis, , Brunel University.
Albar, A M (2022) The design and development of an intelligent adaptive extrusion system for additive manufacturing robotics in construction using advanced cementitious materials, Unpublished PhD Thesis, , Brunel University.
Aldawaish, B (2019) Investigating the relationship between top management teams' characteristics and organisational innovation: the mediating role of dynamic capabilities, Unpublished PhD Thesis, Business School, Brunel University.
Alfandi, G R (2015) Investigating risk management capability of construction firms in the Gulf Cooperation Council (GCC) countries, Unpublished PhD Thesis, Department of Mechanical Aerospace and Civil Engineering, Brunel University.
Allam, S I G (1986) Planning and scheduling: A new model for planning and scheduling construction projects, Unpublished PhD Thesis, , Brunel University.
Almutairi, A M S (2017) Protecting the rights of temporary foreign 'low-skilled' workers in the Saudi construction industry: a case for legal reform, Unpublished PhD Thesis, Department of Politics, History and Law, Brunel University.
Alrajehi, S H (2014) Importance of KPI identification and implementation in Kuwaiti construction industry, Unpublished PhD Thesis, Department of Mechanical Aerospace and Civil Engineering, Brunel University.
Alshammari, S A R (2019) Developing a comprehensive construction delay analysis technique, Unpublished PhD Thesis, Department of Mechanical Aerospace and Civil Engineering, Brunel University.
Benhaim, M (1997) Interfirm relationships within the construction industry: Towards the emergence of networks? A comparative study between France and the UK, Unpublished PhD Thesis, , Brunel University.
Clark, G G (1993) Rule-based integrated building management systems, Unpublished PhD Thesis, , Brunel University.
Cooke, R S (2006) The use of alternative energy technologies in buildings: the influence of engineering consultants, Unpublished PhD Thesis, Department of Mechanical Aerospace and Civil Engineering, Brunel University.
Ghadamsi, A (2016) Investigating the influence of procurement method selection on project performance in Libya, Unpublished PhD Thesis, Department of Mechanical Aerospace and Civil Engineering, Brunel University.
Howes, R (1983) Project management control utilising innovative forecasting and computerised data bases, Unpublished PhD Thesis, Department of Building Technology, Brunel University.
Jashapara, A (1995) Learning in organizations: A study of the UK construction industry, Unpublished PhD Thesis, Henley Management College, Brunel University.
Mesa Jiménez, J J (2021) Artificial intelligence for optimisation and demand side response in built environment, Unpublished PhD Thesis, , Brunel University.
Nam, T-J (2001) Investigations of collaborative design environments: a framework for real-time collaborative 3D CAD, Unpublished PhD Thesis, , Brunel University.
Naoum, S G (1989) An investigation into the performance of management contracts and the traditional methods of building procurement, Unpublished PhD Thesis, Department of Mechanical Aerospace and Civil Engineering, Brunel University.
Nathan, P (1991) Project planning and control systems: An investigation into their application and implications of usage in the UK construction industry, Unpublished PhD Thesis, , Brunel University.
Paling, D R (1982) Industrial relations in the building, civil engineering and engineering construction industries, Unpublished PhD Thesis, , Brunel University.
Rowlinson, S M (1988) An analysis of factors affecting project performance in industrial buildings with particular reference to design build contracts, Unpublished PhD Thesis, Department of Building Technology, Brunel University.
Sawacha, E O-O (1993) An investigation into safety attitudes and safety performance in the construction industry, Unpublished PhD Thesis, Department of Mechanical Engineering, Brunel University.
Steel, A C (1985) The diffusion of working time innovations in manufacturing and construction industry, Unpublished PhD Thesis, , Brunel University.
Zhao, Y (2022) An ontology-based semantic building post-occupancy evaluation framework and its application, Unpublished PhD Thesis, , Brunel University.
- Type: Thesis
- Keywords: reasoning; semantic web; benchmarking; building performance; feedback; knowledge management; performance evaluation; post-occupancy evaluation; sustainable development; case study
- ISBN/ISSN:
- URL: http://bura.brunel.ac.uk/handle/2438/24630
- Abstract:
Catering to sustainable development in Architecture, Engineering and Construction (AEC) industry, many building performance evaluation (BPE) schemas have been developed to support building assessment and aim to narrow down the performance gap. Post-Occupancy Evaluation (POE), viewed as a sub-process of BPE, is a systematic method to obtain feedback on building performance in use. However, building evaluation is a complex and knowledge-intensive process with scattered and fragmented knowledge, it is time-consuming and error-prone to acquire explicit knowledge. Benefiting from the advantages of Semantic Web technology in knowledge conceptualization, ontology, as the core of the Semantic Web, has been widely taken as an effective method for knowledge management, information representation and extraction, and logical inference in the AEC industry, especially in the BPE field. However, most of the existing ontologies in the AEC industry are lightweight ontologies that mainly focus on building a structured system to represent the specific domain knowledge or information, without developing formal axioms and constraints to provide higher expressivity. Moreover, the research focus of ontology in building assessment is mainly on energy-related fields, and there is not a comprehensive POE ontology yet, especially with the focus on building occupant satisfaction, which is the starting point of this research. This research develops an ontology-based post-occupancy evaluation framework dedicated to building performance assessment, with the ultimate aim of optimizing building operation and improving building occupants' use experience quality and well-being. In the developed framework, a heavyweight ontology is developed to structure the fragmented building performance assessment knowledge in the POE domain. In POE ontology, the building occupants' needs for building performance are generalized and classified, and the corresponded building performance assessment knowledge is formalized. In addition, a set of SWRL (Semantic Web Rule Language) rules and SQWRL (Semantic Query-Enhanced Web Rule Language) query rules are developed based on the benchmarking evaluation axioms to enable automatic rule-based reasoning and query in different identified application scenarios. This ontology model enables effective POE-related knowledge retrieving and sharing, and promotes its implementation in the POE domain. To validate the developed framework, a case study is carried out facilitated by the Building Use Studies (BUS) Methodology to illustrate its feasibility and effectiveness in different application scenarios. This research concludes that the proposed ontology-based POE framework has the capability to conduct a multi-objective and multi-criteria POE assessment at the building operation stage and provide a multi-criteria optimised solution.