2016
DOI: 10.3808/jei.201600332
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Framework for Sustainable Low-Income Housing Projects using Building Information Modeling

Abstract: ABSTRACT. Governments in developing countries serve low income people by constructing low income housing projects. Most of total life cycle cost (LCC) of these projects is incurred during the operational phase, making these projects lose their economic aspect of sustainability. Decreasing the cost of low income housing projects and taking into consideration the available resources are two crucial facets that should be taken into consideration. Therefore, this paper focuses on two aspects of the sustainability … Show more

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Cited by 16 publications
(10 citation statements)
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“…, 2019). Many efforts have been made to integrate these technologies in the preservation and restoring historical sites, HBIM being one of them (Marzouk et al. , 2016).…”
Section: Methodsmentioning
confidence: 99%
“…, 2019). Many efforts have been made to integrate these technologies in the preservation and restoring historical sites, HBIM being one of them (Marzouk et al. , 2016).…”
Section: Methodsmentioning
confidence: 99%
“…The choice of scheme is especially important for green buildings (Marzouk et al, 2016(Marzouk et al, , 2018AbouHamad & Abu-Hamd, 2019), low-income buildings (Marzouk et al, 2016;Bianchi et al, 2021), and open buildings (Juan & Hsing, 2017) in value engineering.…”
Section: Optimization Measurementioning
confidence: 99%
“…After these economic, environmental, and social impacts are obtained for each part, these data are assembled. The analytic hierarchy process (AHP) (Bianchi et al, 2021;Jalilzadehazhari et al, 2019), Genetic Algorithm (Zhuang et al, 2021), NSGA-II genetic algorithm (Marzouk et al, 2016), Entropy-TOPSIS (Jalaei et al, 2015) can be used to balance these impacts. In addition, if environmental and social impacts can be monetized, these economic, environmental, and social costs can be summarized to get life cycle sustainability cost (LCSC).…”
Section: Impact Assessmentmentioning
confidence: 99%
“…Its role is to analyze a product/project on multiple planes to highlight its specific performances. [41,60,[87][88][89][90][91][92][93][94][95] Additionally, Table 3 presents Machine Learning (ML) and Genetic algorithm (GA). Both are emerging as a new trend to enhance WLC.…”
Section: Life Cycle Analysis (Lca)mentioning
confidence: 99%