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A Conceptual Framework of an Agent-Based Space-Use Prediction Simulation System
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 Title & Authors
A Conceptual Framework of an Agent-Based Space-Use Prediction Simulation System
Cha, Seung Hyun; Kim, Tae Wan;
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 Abstract
Size of building has a direct relationship with building cost, energy use and space maintenance cost. Therefore, minimizing building size during a project development is of paramount importance against such wastes. However, incautious reduction of building size may result in crowded space, and therefore harms the functionality despite the fact that building is supposed to satisfactorily support users` activity. A well-balanced design solution is, therefore, needed at an optimum level that minimizes building size in tandem with providing sufficient space to maintain functionality. For such design, architects and engineers need to be informed accurate and reliable space-use information. We present in this paper a conceptual framework of an agent-based space-use prediction simulation system that provides individual level space-use information over time in a building in consideration of project specific user information and activity schedules, space preference, ad beavioural rules. The information will accordingly assist architects and engineers to optimize space of the building as appropriate.
 Keywords
space planning;spatial choice;activity-based model;agent-based modelling;space-use prediction;
 Language
English
 Cited by
1.
Space choice, rejection and satisfaction in university campus, Indoor and Built Environment, 2016, 1420326X1666589  crossref(new windwow)
2.
Modelling building users’ space preferences for group work: a discrete-choice experiment, Architectural Science Review, 2017, 60, 6, 460  crossref(new windwow)
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