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

Author

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  • Libiao Bai

    (School of Economics and Management, Chang’an University, Middle Section of South Second Ring Road, Xi’an 710064, China)

  • Hailing Wang

    (School of Economics and Management, Chang’an University, Middle Section of South Second Ring Road, Xi’an 710064, China)

  • Chunming Shi

    (Lazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON N2L3C5, Canada)

  • Qiang Du

    (School of Economics and Management, Chang’an University, Middle Section of South Second Ring Road, Xi’an 710064, China)

  • Yi Li

    (School of Civil Engineering, Chang’an University, Middle Section of South Second Ring Road, Xi’an 710064, China)

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.

Suggested Citation

  • Libiao Bai & Hailing Wang & Chunming Shi & Qiang Du & Yi Li, 2017. "Assessment of SIP Buildings for Sustainable Development in Rural China Using AHP-Grey Correlation Analysis," IJERPH, MDPI, vol. 14(11), pages 1-12, October.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:11:p:1292-:d:116417
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    References listed on IDEAS

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    Cited by:

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    2. Haichao Feng & Ruonan Wang & He Zhang, 2022. "Research on Carbon Emission Characteristics of Rural Buildings Based on LMDI-LEAP Model," Energies, MDPI, vol. 15(24), pages 1-16, December.

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