Automated Generation of User Activity–Space Pairs in Space-Use Analysis
Publication: Journal of Construction Engineering and Management
Volume 140, Issue 5
Abstract
Automation of space-use analysis consists of two parts: automated generation of activity-space pairs and automated computation of space utilization based on the pairs. However, existing user presence models require architects to manually generate activity-space pairs because space-use types and their impact on the generation have not been formalized in a single method. This paper presents a formalized method that enables a computer to map activities onto spaces to generate such pairs by choosing spatial requirements of an activity, finding appropriate spaces, and mapping the activity onto found spaces. Validation tests show that activity-space pairs generated by this method conform to the pairs generated by expert architects, and the method is acceptable from the architects’ perspectives. Automated space-use analysis powered by this method significantly enhances speed and consistency of utilization prediction. This paper contributes to virtual design and construction by providing a means to connect activities with spaces automatically.
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References
Akbas, R., Clevenger, C., and Haymaker, J. (2007). “Temporal visualization of building occupancy phase.” Proc., 2007 ASCE Int. Workshop on Computing in Civil Engineering, L. Soibelman and B. Akinci, eds., ASCE, Reston, VA, 208–215.
Akerkar, R., and Sajja, P. (2010). Knowledge-based systems, Jones and Bartlett, Sudbury, MA.
Angele, J., Kifer, M., and Lausen, G. (2009). “Ontologies in F-Logic.” Handbook on ontologies, international handbooks on information systems, S. Staab and R. Studer, eds., Springer, Berlin, 45–70.
Bourgeois, D., Reinhart, C., and Macdonald, I. (2006). “Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control.” Energy Build., 38(7), 814–823.
Brachman, R., and Levesque, H. (2004). Knowledge representation and reasoning, Morgan Kaufmann, San Francisco, CA.
Cherry, E. (1999). Programming for design: From theory to practice, John Wiley & Sons, New York, NY.
Chinowsky, P. (1991). “The CADDIE project: Applying knowledge-based paradigms to architectural layout generation.”, Stanford Univ., Stanford, CA.
Clayton, M., Kunz, J., and Fischer, M. (1998). “The charrette test method.”, Stanford Univ., Stanford, CA.
Desbarats, J. (1983). “Spatial choice and constraints on behavior.” Ann. Assoc. Am. Geogr., 73(3), 340–357.
Dong, B., and Andrews, B. (2009). “Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings.” 11th Int. IBPSA Conf., Glasgow, Scotland, 1444–1451.
Eclipse 3.4.2 [Computer software]. Ottawa, Canada, Eclipse Foundation.
Flager, F., Adya, A., and Haymaker, J. (2009). “AEC multidisciplinary design optimization: Impact of high performance computing.”, Stanford Univ., Stanford, CA.
Ioannidis, D., Tzovaras, D., and Malavazos, C. (2012). “Occupancy and business modelling.” The European Conf. of Product and Process Modelling (ECPPM) Conf., Reykjavik, Iceland.
Kemperman, A., Borgers, A., and Timmermans, H. (2002). “Incorporating variety seeking and seasonality in stated preference modeling of leisure trip destination choice: Test of external validity.” Transp. Res. Rec., 1807(1), 67–76.
Kifer, M. (2005). “Rules and ontologies in F-Logic.” Reasoning web, lecture notes in computer science, Vol. 3564, Springer, Berlin, 22–34.
Kim, T. (2013). “Predicting space utilization of buildings through integrated and automated analysis of user activities and spaces.” CIFE Technical Rep. 214, Stanford Univ., Stanford, CA.
Kim, T., Rajagopal, R., Fischer, M., and Kam, C. (2013). “A knowledge-based framework for automated space-use analysis.” Autom. Constr., 32, 165–176.
Mahdavi, A., and Pröglhöf, C. (2009). “Toward empirically-based models of people’s presence and actions in buildings.” 11th Int. IBPSA Conf., Glasgow, Scotland, 537–544.
Pennanen, A. (2004). “User activity based workspace definition as an instrument for workplace management in multi-user organizations.” Doctoral dissertation, Dept. of Architecture, Tampere Univ. of Technology, Tampere, Finland.
Shen, W., Shen, Q., and Sun, Q. (2012). “Building information modeling-based user activity simulation and evaluation method for improving designer-user communications.” Autom. Constr., 21, 148–160.
Simon, H. (1955). “A behavioral model of rational choice.” Q. J. Econ., 69(1), 99–118.
Tabak, V. (2008). “User simulation of space utilisation.” Doctoral dissertation, Design Systems Group, Eindhoven Univ., Eindhoven, Netherlands.
Whelton, M. (2004). “The development of purpose in the project definition phase of construction projects- implications for project management.” Doctoral dissertation, Dept. of Civil and Environmental Engineering, Univ. of California at Berkeley, Berkeley.
Yan, W., and Kalay, Y. (2006). “Geometric, cognitive, and behavioral modeling of environmental users.” Design computing and cognition, Springer, Netherlands, 61–79.
Yang, G., Kifer, M., and Zhao, C. (2003). “Flora-2: A rule-based knowledge representation and inference infrastructure for the semantic web.” 2nd Int. Conf. on Ontologies, Databases and Applications of Semantics (ODBASE), Springer, Berlin.
Zimmermann, G. (2007). “Modeling and simulation of individual user behavior for building performance predictions.” Proc., 2007 Summer Computer Simulation Conf., Society for Computer Simulation International, San Diego, 913–920.
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Published In
Journal of Construction Engineering and Management
Volume 140 • Issue 5 • May 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Sep 27, 2013
Accepted: Dec 31, 2013
Published online: Feb 14, 2014
Published in print: May 1, 2014
Discussion open until: Jul 14, 2014
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