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Ontology-Based Representations of User Activity and Flexible Space Information: Towards an Automated Space-Use Analysis in Buildings

Auteur(s):




Médium: article de revue
Langue(s): en 
Publié dans: Advances in Civil Engineering, , v. 2019
Page(s): 1-15
DOI: 10.1155/2019/3690419
Abstrait:

Space-use analysis offers quantitative and reliable references to support architects' decision-making regarding the planning and design of flexible spaces. To allow for automated space-use analyses of such flexible space, it is imperative to create activity and space ontologies that offer systematic and explicit forms representing user activities and the spaces in which they occur. Therefore, this study extends the current research on activity ontologies in order to capture flexible space-use patterns for user activities and develops a new space ontology by abstracting the information related to both flexible and nonflexible spaces. In addition, this study formalizes a framework for an automated space-use analysis implementation process that predicts and updates flexible space utilization by integrating user activity with flexible space. This work contributes to performance-based building design by providing a common, computer-interpretable vocabulary for representing user activities and flexible spaces and a framework for an automated space-use analysis implementation process that informs space utilization (i.e., a space efficiency measurement).

Copyright: © 2019 Xingbin Chen et al.
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original.

  • Informations
    sur cette fiche
  • Reference-ID
    10311087
  • Publié(e) le:
    04.04.2019
  • Modifié(e) le:
    11.07.2019