%J International Journal of Environmental Science and Technology
%L scholars11082
%O cited By 16
%N 12
%R 10.1007/s13762-019-02371-x
%D 2019
%X 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).
%K Architectural design; Emission control; Forecasting; Housing; Life cycle; Tropical engineering; Tropics; Virtual reality, Building Information Model - BIM; Efficient predictions; Environmental assessment; Housing sectors; Life Cycle Assessment (LCA); Statistical criterion; Statistical techniques; Tropical regions, Carbon footprint, carbon footprint; environmental assessment; housing; life cycle analysis; model; regression analysis; sustainability; tropical region, Malaysia
%P 7817-7826
%V 16
%I Center for Environmental and Energy Research and Studies
%A S.S.S. Gardezi
%A N. Shafiq
%T Operational carbon footprint prediction model for conventional tropical housing: a Malaysian prospective