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Int. J. Environ. Res. Public Health 2017, 14(11), 1292; doi:10.3390/ijerph14111292

Assessment of SIP Buildings for Sustainable Development in Rural China Using AHP-Grey Correlation Analysis

1
School of Economics and Management, Chang’an University, Middle Section of South Second Ring Road, Xi’an 710064, China
2
Lazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON N2L3C5, Canada
3
School of Civil Engineering, Chang’an University, Middle Section of South Second Ring Road, Xi’an 710064, China
*
Author to whom correspondence should be addressed.
Received: 29 September 2017 / Revised: 20 October 2017 / Accepted: 22 October 2017 / Published: 25 October 2017
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
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Abstract

Traditional rural residential construction has the problems of high energy consumption and severe pollution. In general, with sustainable development in the construction industry, rural residential construction should be aimed towards low energy consumption and low carbon emissions. To help achieve this objective, in this paper, we evaluated four different possible building structures using AHP-Grey Correlation Analysis, which consists of the Analytic Hierarchy Process (AHP) and the Grey Correlation Analysis. The four structures included the traditional and currently widely used brick and concrete structure, as well as structure insulated panels (SIPs). Comparing the performances of economic benefit and carbon emission, the conclusion that SIPs have the best overall performance can be obtained, providing a reference to help builders choose the most appropriate building structure in rural China. View Full-Text
Keywords: SIPs; rural residence; low-carbon building; sustainable development SIPs; rural residence; low-carbon building; sustainable development
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Bai, L.; Wang, H.; Shi, C.; Du, Q.; Li, Y. Assessment of SIP Buildings for Sustainable Development in Rural China Using AHP-Grey Correlation Analysis. Int. J. Environ. Res. Public Health 2017, 14, 1292.

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