||Big Data Applications in Built Environment: Towards a Use Foundation Model
||Mohamad Kassem and Jennifer Li
||The term Ôbig dataÕ is increasingly permeating the current debate over the present and the future of our built environment. There are heightened expectations about the role big data may or can play in enabling new applications and decisions across the whole lifecycle of assets, from early design phase through construction to operation and end-of-life. It is therefore necessary to analyse the state-of-the-art in big data applications in built environment. This paper presents a structured and systematic literature review on this emerging theme. The results are quantitatively analysed using network and clustering techniques. The research identified distinct clusters within two lenses: (1) the project lifecycle (i.e., design/planning, construction, and operation), and (2) the built environment hierarchy scale (i.e., component/product, building/facility, site, neighbourhood, region and city). Six clusters of big data applications across the two lenses were identified: energy management, traffic management, design & planning, onsite construction activities, city-wide services, and smart cities.The clusters show the level of research intensity around each of their nodes and the connections between the nodes which indicate the emergence of new avenues of investigations. These results represent the first steps towards developing a descriptive ÔUse Foundation model' for big data applications in built environment.
|Year of publication:
||Built Environment, Big Data, Internet of Things, Smart Data
Mohamad Kassem and Jennifer Li (2017).
Big Data Applications in Built Environment: Towards a Use Foundation Model. Lean and Computing in Construction Congress (LC3): Volume I Ð Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 885-894,