TY  - JOUR
N1  - cited By 1
SP  - 8441
TI  - Relational pre-impact assessment of conventional housing features and carbon footprint for achieving sustainable built environment
AV  - none
EP  - 8463
PB  - Springer Science and Business Media B.V.
SN  - 1387585X
N2  - Sustainable comfortable living requires comprehensive energy consumption planning for the housing habitat. Besides other energy planning considerations, the variations in physical features of built facilities, their environmental interaction, and resulting operational life cycle carbon footprint are an important focus in contemporary research. Therefore, this research aims to explore the relationship between the physical features of the built facility and the resulting carbon footprint for conventional housing designs. A combination of conventional Malaysian model housing units was developed in 3D virtual prototypes by building information modeling, and regression analysis was used to investigate the environmental impact paradigm of the built facility. Correspondingly, an operational CO2 pre-assessment was also examined by the partial life cycle assessment technique during the early stages of design and planning. The results of this study show a positive and statistically significant linear relation of carbon footprint with the area, volume, and power rating parameters. The outcome of this study is imperative for designing resource-efficient living facilities and achieving a sustainable built environment through a proactive life cycle assessment of housing construction projects. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
IS  - 6
ID  - scholars16728
KW  - carbon footprint; energy planning; environmental impact; environmental impact assessment; housing; life cycle analysis
A1  - Gardezi, S.S.S.
A1  - Shafiq, N.
A1  - Khan, M.W.A.
JF  - Environment, Development and Sustainability
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114052911&doi=10.1007%2fs10668-021-01793-3&partnerID=40&md5=59ce523fd301524bd16d44d42c0cc04f
VL  - 24
Y1  - 2022///
ER  -