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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

11 Scopus Citations
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Author(s)

  • Tae Wan Kim
  • Martin Fischer

Detail(s)

Original languageEnglish
Article number4014007
Journal / PublicationJournal of Construction Engineering and Management
Volume140
Issue number5
Publication statusPublished - 1 May 2014

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. © 2014 American Society of Civil Engineers.

Research Area(s)

  • Knowledge-based systems, Space utilization, Space-use analysis, Space-use type, Space-use type differentiator, User presence model

Citation Format(s)