TY  - JOUR
SP  - 293
TI  - Building information modelling application for developing sustainable building (Multi criteria decision making approach)
N1  - cited By 33
AV  - none
EP  - 302
SN  - 20904479
PB  - Ain Shams University
KW  - Construction; Construction industry; Decision making; Energy efficiency; Information theory; Intelligent buildings; Life cycle; Surveys; Sustainable development
KW  -  Analytical network processes (ANP); Building Information Model - BIM; Building Information Modelling; Construction professionals; Descriptive statistics; Multi-criteria decision making; Multicriteria decision; Sustainable construction
KW  -  Architectural design
ID  - scholars15170
N2  - Increasing attention was given to building information modeling (BIM) and multi-criteria decision-making (MCDM) globally due to their advantages for various stages of the life cycle of a building. The aim of this paper is to improve practitioners' understanding of the process for BIM and MCDM adoption towards sustainable construction through energy efficiency. A questionnaire survey is being conducted for construction professionals and building industry experts in Malaysia. With expert survey data, a multi-criteria decision model using analytical network process (ANP) was built to identify key factors affecting sustainable building by reducing both embodied and operational energy and carbon emissions. Data from the survey was analysed using descriptive statistics. Model developed consisted of three clusters with a total of six nodes, and the level of importance was compared pairwise with one another. Results shows that design optimisation, reduced material requirements are important factors for sustainable construction considered in the BIM application. © 2020 THE AUTHORS
IS  - 1
VL  - 12
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088945251&doi=10.1016%2fj.asej.2020.06.006&partnerID=40&md5=f0eef72afb03ddffeccca6880fe254e8
A1  - Haruna, A.
A1  - Shafiq, N.
A1  - Montasir, O.A.
JF  - Ain Shams Engineering Journal
Y1  - 2021///
ER  -