کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7455655 | 1484490 | 2016 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A multivariable regression tool for embodied carbon footprint prediction in housing habitat
ترجمه فارسی عنوان
ابزار رگرسیون چند متغیره برای پیش بینی اثرات کربن موجود در مسکن زیستگاه
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کلمات کلیدی
کربن جاذب، ارزیابی چرخه حیات، رگرسیون چند متغیره، ابزار پیش بینی، ساخت و ساز مسکن،
موضوعات مرتبط
علوم انسانی و اجتماعی
علوم اجتماعی
توسعه
چکیده انگلیسی
A novel embodied carbon prediction tool has been developed for conventionally constructed housing units. Single and double storey terraced, semi-detached and detached housing projects were evaluated by adoption of partial life cycle assessment (LCA) framework. The statistical technique of multivariable regression analysis was merged with LCA and building information modeling (BIM) for prediction of such environmental issue in housing sector. The assessment was limited to pre-use phase with LCA boundary of “cradle to site”. The criteria and requirements for a statistically consistent and efficient prediction tool were successfully satisfied with an acceptable average prediction error of less than ±5%. Based on very basic explanatory variables, the tool also helped to manage the barrier of huge data requirements for such environmental studies. The study is expected to act as a milestone and help the researchers and industry professionals for quick, effective and sustainable environmental assessment, decision making and solutions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Habitat International - Volume 53, April 2016, Pages 292-300
Journal: Habitat International - Volume 53, April 2016, Pages 292-300
نویسندگان
Syed Shujaa Safdar Gardezi, Nasir Shafiq, Noor Amila Wan Abdullah Zawawi, Muhd Faris Khamidi, Syed Ahmad Farhan,