Automated generation of user activity-space pairs in space-use analysis

AbstractAutomation 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 connec...

[1]  Arthur B. Markman,et al.  Knowledge Representation , 1998 .

[2]  Ragip Akbas,et al.  Temporal Visualization of Building Occupancy Phase , 2007 .

[3]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[4]  Michael Kifer,et al.  Rules and Ontologies in F-Logic , 2005, Reasoning Web.

[5]  Georg Lausen,et al.  Ontologies in F-logic , 2004, Handbook on Ontologies.

[6]  Edith Cherry,et al.  Programming for Design: From Theory to Practice , 1998 .

[7]  Martin Fischer,et al.  A knowledge-based framework for automated space-use analysis , 2013 .

[8]  Wei Yan,et al.  GEOMETRIC, COGNITIVE AND BEHAVIORAL MODELING OF ENVIRONMENTAL USERS , 2006 .

[9]  Christoph F. Reinhart,et al.  Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control , 2006 .

[10]  Hector J. Levesque,et al.  Knowledge Representation and Reasoning , 2004 .

[11]  Gerhard Zimmerman Modeling and simulation of individual user behavior for building performance predictions , 2007, SCSC.

[12]  Qiping Shen,et al.  Building Information Modeling-based user activity simulation and evaluation method for improving designer–user communications , 2012 .

[13]  Dimitrios Tzovaras,et al.  Occupancy and business modelling , 2012 .

[14]  Hjp Harry Timmermans,et al.  Incorporating Variety Seeking and Seasonality in Stated Preference Modeling of Leisure Trip Destination Choice: Test of External Validity , 2002 .

[15]  Michael Whelton,et al.  The Development of Purpose in the Project Definition Phase of Construction Projects - Implications for Project Management , 2004 .

[16]  Bing Dong,et al.  Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings , 2009 .

[17]  Michael Kifer,et al.  Flora-2: A Rule-Based Knowledge Representation and Inference Infrastructure for the Semantic Web , 2003, OTM.

[18]  Jacqueline Desbarats,et al.  Spatial choice and constraints on behavior , 1983 .