A Bayesian Approach for Best Practice Recommendations in Collaborative Designs of Construction Projects

Xin Liang, Qiping Shen, Shanshan Bu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

With the accelerated growth of scale, complexity and diversity of construction projects, accurate demand analysis has become a crucial issue impacting effect and efficiency in collaborative design. However, comprehending deviations between clients and designers is ubiquitous because of the information asymmetry. Choosing a best practice as reference is considered to be a promising method to help solve this kind of problems, so the key problem is the best practices selection. This paper proposes a novel data mining approach based on Bayesian probability for best practice recommendation (BPR), integrating the satisfactions of former projects and similarity between former projects and the recent one. This approach is applicable because it reasons top ranking practices to help clarify requirement, so that design collaboration and clients' satisfaction should be improved with more probability. A green building retrofit example is presented to demonstrate the application of this approach.
Original languageEnglish
Title of host publicationICCREM 2014
Subtitle of host publicationSmart Construction and Management in the Context of New Technology - Proceedings of the 2014 International Conference on Construction and Real Estate Management
PublisherAmerican Society of Civil Engineers (ASCE)
Pages721-732
Number of pages12
ISBN (Electronic)9780784413777
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 International Conference on Construction and Real Estate Management: Smart Construction and Management in the Context of New Technology, ICCREM 2014 - Kunming, China
Duration: 27 Sep 201428 Sep 2014

Conference

Conference2014 International Conference on Construction and Real Estate Management: Smart Construction and Management in the Context of New Technology, ICCREM 2014
Country/TerritoryChina
CityKunming
Period27/09/1428/09/14

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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