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Evaluating Social Performance of Construction Projects: An Empirical Study

Author

Listed:
  • Xiaer Xiahou

    (Department of Construction Management and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Yuchun Tang

    (Department of Construction Management and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Jingfeng Yuan

    (Department of Construction Management and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Tengyuan Chang

    (Department of Construction Management and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Ping Liu

    (Department of Construction Management and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China
    School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

  • Qiming Li

    (Department of Construction Management and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

Abstract

The concept of sustainable development is gaining increasing popularity in construction industry. Previous studies have prioritized on the sustainable performance of construction projects from perspectives of economy and environment, social performance of construction projects has not drawn much attention. Social performance of construction projects refers to the extent which the projects meet the needs of current and future generations. Therefore, social performance of construction projects is critical for project success as well as social sustainability. However, a systematic framework for evaluating social performance of construction projects is absent. At the same time, existing methods are time-consuming and subject to certain degree of subjectivity. To overcome these limitations, the fuzzy analytical hierarchy process (FAHP) method is introduced in this paper to evaluate social performance of construction projects. A real-world hospital redevelopment project was employed as an empirical study to develop the systematic framework for social performance evaluation using FAHP method. By analyzing previous studies and the hospital redevelopment project, a systematic framework with 18 indicators of five dimensions (i.e., socio-economy development, socio-environment development, social flexibility, public service development, and environment and resource conservation) was developed. Social performance of two proposed schemes for hospital redevelopment project were evaluated using the FAHP approach. Results show Scheme 2 has a relative higher social performance sore than that of Scheme 1 and the hospital redevelopment project would improve socio-economy development, socio-environment development, social flexibility, and public service development, while it brings challenges to environment and resource conservation. More seriously, results indicate the hospital project may threaten healthcare and disease prevention of the local communities. Therefore, more measures should be taken to improve social performance of the hospital redevelopment project. The empirical study shows the proposed framework using FAHP method is viable for conducting social performance evaluation of construction projects, which could be helpful to improve social performance, reduce negative social impacts, and contribute to the social sustainability of construction projects.

Suggested Citation

  • Xiaer Xiahou & Yuchun Tang & Jingfeng Yuan & Tengyuan Chang & Ping Liu & Qiming Li, 2018. "Evaluating Social Performance of Construction Projects: An Empirical Study," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2329-:d:156392
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    References listed on IDEAS

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    6. Chia-Nan Wang & Van Thanh Nguyen & Hoang Tuyet Nhi Thai & Ngoc Nguyen Tran & Thi Lan Anh Tran, 2018. "Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry," Mathematics, MDPI, vol. 6(12), pages 1-16, December.
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    8. Qiuhu Shao & Jingfeng Yuan & Jin Lin & Wei Huang & Junwei Ma & Hongxing Ding, 2021. "A SBM-DEA based performance evaluation and optimization for social organizations participating in community and home-based elderly care services," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-25, March.
    9. Lin, Sheng-Hau & Huang, Xianjin & Fu, Guole & Chen, Jia-Tsong & Zhao, Xiaofeng & Li, Jia-Hsuan & Tzeng, Gwo-Hshiung, 2021. "Evaluating the sustainability of urban renewal projects based on a model of hybrid multiple-attribute decision-making," Land Use Policy, Elsevier, vol. 108(C).
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    12. Kathy Eljiz & David Greenfield & Lila Vrklevski & Alison Derrett & David Ryan, 2022. "Large scale healthcare facility redevelopment: A scoping review," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(2), pages 691-714, March.

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