Creating flexible mappings between building information models and cost information
Data(s) |
2014
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Resumo |
During the early design stages of construction projects, accurate and timely cost feedback is critical to design decision making. This is particularly challenging for cost estimators, as they must quickly and accurately estimate the cost of the building when the design is still incomplete and evolving. State-of-the-art software tools typically use a rule-based approach to generate detailed quantities from the design details present in a building model and relate them to the cost items in a cost estimating database. In this paper, we propose a generic approach for creating and maintaining a cost estimate using flexible mappings between a building model and a cost estimate. The approach uses queries on the building design that are used to populate views, and each view is then associated with one or more cost items. The benefit of this approach is that the flexibility of modern query languages allows the estimator to encode a broad variety of relationships between the design and estimate. It also avoids the use of a common standard to which both designers and estimators must conform, allowing the estimator added flexibility and functionality to their work. |
Formato |
application/pdf |
Identificador | |
Publicador |
Elsevier |
Relação |
http://eprints.qut.edu.au/73414/1/Accepted_draft_version.pdf DOI:10.1016/j.autcon.2014.05.006 Lawrence, Michael, Pottinger, Rachel, Staub-French, Sheryl, & Nepal, Madhav Prasad (2014) Creating flexible mappings between building information models and cost information. Automation in Construction, 45, pp. 107-118. |
Direitos |
Copyright 2014 Elsevier This is the author’s version of a work that was accepted for publication in Automation in Construction. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Automation in Construction, [VOL 45 (2014)] DOI: 10.1016/j.autcon.2014.05.006 |
Fonte |
School of Civil Engineering & Built Environment; Science & Engineering Faculty |
Palavras-Chave | #080000 INFORMATION AND COMPUTING SCIENCES #120000 BUILT ENVIRONMENT AND DESIGN |
Tipo |
Journal Article |