BIM-integrated system for automated value analysis of buildings

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analyzing the value of buildings and how this value is affected by the various design decisions is vital for delivering value-adding buildings. The value of a building to a specific stakeholder is a function of the stakeholder's personal value system (the personal values of that stakeholders and their order of priority) and the building properties. Building information modeling (BIM) can, thus, facilitate the execution of the value analysis process, in an efficient and accurate manner, because it allows for a rich representation of building properties. To achieve such efficient and accurate value analysis, there is a need to develop a BIM-integrated automated value analysis system that can directly retrieve value-specific information from a building information model and use it for assessing the value of a building to its stakeholders, based on their own personal value systems. To address this need, this paper proposes an automated value analysis system that is integrated with BIM. The proposed system is composed of three modules: (1) a module for soliciting information about a stakeholder's personal value system; (2) a module for retrieving value-specific design information (i.e., relevant and sufficient information for value analysis including building objects and their properties) from a BIM model; and (3) a module for quantifying and aggregating the value of a building to a stakeholder based on the stakeholder's personal value system and the building properties. The proposed system was evaluated using a case study that analyzes the value of a two-story apartment building to its stakeholders. The preliminary results show that the proposed system could support more effective and efficient value-sensitive decision making by allowing stakeholders to explore and identify high-value design alternatives efficiently-with less time and effort.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationInformation Modeling and Data Analytics - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
EditorsKen-Yu Lin, Ken-Yu Lin, Nora El-Gohary, Nora El-Gohary, Pingbo Tang, Pingbo Tang
PublisherAmerican Society of Civil Engineers
Pages245-253
Number of pages9
ISBN (Electronic)9780784480823, 9780784480847
ISBN (Print)9780784480823
DOIs
StatePublished - 2017
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: Jun 25 2017Jun 27 2017

Publication series

NameCongress on Computing in Civil Engineering, Proceedings

Other

Other2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
Country/TerritoryUnited States
CitySeattle
Period6/25/176/27/17

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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