International conference on construction engineering and project management (국제학술발표논문집)

  • 2005.10a
  • /
  • Pages.830-835
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  • 2005
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지

QUANTITATIVE ANALYSES USING 4D MODELS - AN EXPLORATIVE STUDY

  • Rogier Jongeling (eBygg Center, Lulea University of Technology) ;
  • Jonghoon Kim (Center for Integrated Facility Engineering, Stanford University) ;
  • Claudio Mourgues (Center for Integrated Facility Engineering, Stanford University) ;
  • Martin Fischer (Center for Integrated Facility Engineering Stanford University) ;
  • Thomas Olofsson (eBygg Center, Lulea University of Technology)
  • Published : 2005.10.16
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Abstract

4D models help construction planners to develop and evaluate construction plans. However, current analyses using 4D models are mainly visual and limit the quantitative comparison of construction alternatives. This paper explores the usefulness of extracting quantitative information from 4D models to support time-space analyses. We use two 4D models of an industry test case to illustrate how to analyze 4D content quantitatively (i.e., work space areas and distances between concurrent activities). This paper shows how these two types of 4D content can be extracted from 4D models to support 4D-based-analysis and novel presentation of construction planning information. We suggest further research to formalize the content of 4D models to enable comparative quantitative analyses of construction planning alternatives. Formalized 4D content will enable the development of reasoning mechanisms that automate 4D-model-based analyses and provide the information content for informative presentations of construction planning information.

Keywords

Acknowledgement

This paper is based on a case study project where several people from the project team were interviewed. We thank them for their commitment and patience in supporting our work. The financial support from the Swedish research fund for environment, agricultural sciences and spatial planning (Formas), the Lars Erik Lundbergs Stipendiestiftelse, the Swedish construction development fund (SBUF) and the European regional funds is acknowledged. We also gratefully acknowledge the support of the Center for Integrated Facility Engineering at Stanford University.