Prediction of construction cost and life-cycle cost through preliminary estimate is very important for the economic decision-making in the early phase of building projects. However, the conventional preliminary estimate has a high error range and low reliability because it relies only on the basic information of projects. In addition, the consideration of the life-cycle cost of the building is insufficient, causing problems such as budget shortage, inaccurate budgeting, and life-cycle cost increase. In this study, we propose a method of preliminary estimate based on BIM below the level of detail 2 and actual construction cost data to support the decision-making in the early design phase. To verify the proposed method, a web-based prototype was implemented and applied to three test cases. The range of error rate for three test cases was 1.93–7.16% (average error rate: 5.18%). It satisfies the criteria (−30% ~ +50%) of the “American Association of Cost Engineering”. As a result, the feasibility of the proposed model was validated. It is expected to be utilized as useful information in the decision-making occurring in the early design phase, and this allows for a rapid economic review of the design alternatives, a reduced LCC, and a shortened decision-making time.
|Number of pages||16|
|Journal||Journal of Asian Architecture and Building Engineering|
|Publication status||Published - 2020 Jul 3|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST; Ministry of Education and Science Technology) [grant number NRF-2017R1A4A1015660]. And this work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT; Ministry of Science and ICT) [grant number NRF-2019R1C1C1007487].
© 2020, © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of the Architectural Institute of Japan, Architectural Institute of Korea and Architectural Society of China.
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Cultural Studies
- Building and Construction
- Arts and Humanities (miscellaneous)