Cities of the world are struggling with achieving rising environmental targets whilst also tackling reduced operational budgets. Despite the operational phase of buildings being a great cause on environmental impact, the management of resources is based on piecemeal information databases. At building scale, managers can have access to a variety of data sources but the opportunities to utilise or manipulate data are frequently unexploited.
In this respect, the use of building information modelling (BIM) has been investigated as a way to support the reduction of unnecessary processes through better integration of information. While the use of BIM within the design and construction phase is well studied, its adoption for the management of building use and operation is still embryonic, in general, due to the lack of skills in the sector. In the UK, the development of the Government Soft Landing approach was an afterthought and there was, (and there still is), a lack of a strategy to engage clients from the inception of projects. Very little has been implemented extensively in building use and operation and even less have been measured in terms of improvements made due to BIM.
Multi-site data connection can increase information transparency and impact on significant gains of efficiency through enabling the sharing of resources and the systematic management of service provision.
This research seeks to create an understanding of how BIM as a platform for data integration in the use and operation phase can enable gains of efficiency. This research will demonstrate efficiency gains or loss by exploring waste management of a university campus site as a case study. The aim of the research is to propose an information management model aimed at reducing the environmental impact of multisite building complexes during the use and operation phase of. The research will involve working collaboratively with the Facilities Management (FM) team of the university campus and develop process maps for waste management. Deliverables include revised EIRs and BEPs drawn from FM data needs. The generalisation of expected results can be potentially used at city level where its impact on waste management are incommensurable.