TY  - JOUR
KW  - Architectural design; Emission control; Forecasting; Housing; Life cycle; Tropical engineering; Tropics; Virtual reality
KW  -  Building Information Model - BIM; Efficient predictions; Environmental assessment; Housing sectors; Life Cycle Assessment (LCA); Statistical criterion; Statistical techniques; Tropical regions
KW  -  Carbon footprint
KW  -  carbon footprint; environmental assessment; housing; life cycle analysis; model; regression analysis; sustainability; tropical region
KW  -  Malaysia
ID  - scholars11082
N2  - The current work presents a Malaysian housing sector experience to develop an innovative prediction model for the operational carbon footprint at planning and design stage. Besides life-cycle assessment methodology, statistical technique of multiple regressions incorporated the effects of different identified variables. Three-dimensional parametric models of selected case studies were developed in a virtual environment using building information modeling (BIM). The emergence of multiple regressions, BIM and LCA, in an environmental assessment study for operational phase in a tropical region unlocked a new direction of research. The successful satisfaction and qualification of statistical criterion and tests ensured an efficient prediction model with an acceptable percentage error of ± 6 between the predicted and observed values. The study aims to contribute to pre-assessments of CO2 levels at an early stage of life-cycle studies for quick sustainable decisions and safe green social developments. © 2019, Islamic Azad University (IAU).
IS  - 12
Y1  - 2019///
VL  - 16
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064698738&doi=10.1007%2fs13762-019-02371-x&partnerID=40&md5=b8d7eab736fefca663fa83b0fc6c82fe
JF  - International Journal of Environmental Science and Technology
A1  - Gardezi, S.S.S.
A1  - Shafiq, N.
AV  - none
SP  - 7817
TI  - Operational carbon footprint prediction model for conventional tropical housing: a Malaysian prospective
N1  - cited By 16
SN  - 17351472
PB  - Center for Environmental and Energy Research and Studies
EP  - 7826
ER  -