TR207: A Knowledge-Based Framework for Automated Space-Use Analysis

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Abstract/Contents

Abstract: Space-use can only be effectively determined when space, user, and activity perspectives are taken into account simultaneously. We develop a knowledge-based framework for automated space-use analysis to enable analyzers to predict and update space utilization simultaneously considering these three perspectives with computational assistance. The framework includes the formalization of the concepts for space-use analysis such as users, user activities, spaces, equipment, and space utilization, the ontological relationships among the concepts, and the automated space-use analysis process. We demonstrate the effectiveness of the proposed framework through a trial run on select areas in an academic building at Stanford University. Our results show that the proposed framework can support iterative refinement of the architectural design and its usage by predicting the utilization and visualizing the results automatically. This automation in space-use analysis contributes a consistent, clear, and efficient means of analyzing space-use in support of architects’ and clients’ decision-making about the design.

Type of resource	text
Date created	July 2013

Subject	Center for Integrated Facility Engineering
Subject	Stanford University
Subject	Space utilization
Subject	Space-use analysis
Subject	User activity
Genre	Technical report

Location	https://purl.stanford.edu/nm203vm7733

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred Citation: Kim, Tae Wan and Rajagopal, Ram and Fischer, Martin and Kam, Calvin. (2013). TR207: A Knowledge-Based Framework for Automated Space-Use Analysis. Stanford Digital Repository. Available at: http://purl.stanford.edu/nm203vm7733

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