Al-Sayed, K; (2015) Towards an extended network-based description for BIM and Smart Cities. Space Syntax Laboratory, Bartlett School of Architecture, UCL: London, UK.

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Abstract

The pervasive deployment of “smart city” and “smart building” projects in cities world-wide is driving innovation on many fronts including; technology, telematics, engineering and entrepreneurship. Traditionally, descriptive models of built form were adapted to predict performance by using few data sets. This trend has recently diverted towards making short-term predictions and visualizing real-time information enabled by Big Data and the Internet of Things. Building and urban morphology need yet to adapt new frameworks to embrace these new technologies in the design and evolution of sustainable infrastructure. Through representing relationships between different infrastructure components and linking the resultant network to smart systems, it is perhaps possible to provide better predictions of the operational performance of buildings and cities. This workshop was dedicated to provide a platform for discussing these challenges between academics, construction and engineering experts, and policy makers. Together with a team of academics and researchers from UCL, the BIM Task Group at the Government Department of Business Innovation and Skills has scored success at releasing the Digital Built Britain construction strategy. The strategy will execute the UK government plans for BIM Level’3, making a shift from file-based collaboration to the more scalable and flexible semantic web. This is thought to provide opportunities for acquiring information about how performance data could support the design and operation phases of buildings and how BIM could constitute a bottom up approach to smart cities. The “Towards an extended network-based description for BIM and Smart Cities” workshop, which took place at Space Syntax Limited, was dedicated to tackle these challenges and plan for a start on the BIM level’3 project by attending to the morphological and performance aspects of the built environment and the wealth of research that was done in this field at UCL over the last decades. The workshop was intended to discuss a wide-range of theoretical frameworks and representational schemes for establishing network-based models as to structure data in building and urban information models and respond to social and environmental performance requirements of the built environment. The workshop has also discussed some applications and challenges presented by IoT, and by the data available on energy performance of buildings. The core discussion was centred on whether network-based models are fundamental to comprehend and represent the complexity of cities and inform urban design and public policy practices, during the design, construction, and operation phases of infrastructure projects.

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