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Elbarkouky, M M G and Fayek, A R (2011) Fuzzy Similarity Consensus Model for Early Alignment of Construction Project Teams on the Extent of Their Roles and Responsibilities. Journal of Construction Engineering and Management, 137(06), 432–40.

Evia, C (2011) Localizing and Designing Computer-Based Safety Training Solutions for Hispanic Construction Workers. Journal of Construction Engineering and Management, 137(06), 452–9.

Hong, T, Cho, K, Hyun, C and Han, S (2011) Simulation-Based Schedule Estimation Model for ACS-Based Core Wall Construction of High-Rise Building. Journal of Construction Engineering and Management, 137(06), 393–402.

Lee, S, Jeon, R, Kim, J and Kim, J (2011) Strategies for Developing Countries to Expand Their Shares in the Global Construction Market: Phase-Based SWOT and AAA Analyses of Korea. Journal of Construction Engineering and Management, 137(06), 460–70.

Ozorhon, B, Arditi, D, Dikmen, I and Birgonul, M T (2011) Toward a Multidimensional Performance Measure for International Joint Ventures in Construction. Journal of Construction Engineering and Management, 137(06), 403–11.

Said, H and El-Rayes, K (2011) Optimizing Material Procurement and Storage on Construction Sites. Journal of Construction Engineering and Management, 137(06), 421–31.

Shen, L, Wu, Y and Zhang, X (2011) Key Assessment Indicators for the Sustainability of Infrastructure Projects. Journal of Construction Engineering and Management, 137(06), 441–51.

  • Type: Journal Article
  • Keywords: Infrastructure; Project management; Sustainable development; China; Infrastructure project; Sustainability; Key assessment indicators; KAIs; Sustainable development; China;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000315
  • Abstract:
    Infrastructure projects have major effects on implementing the principles of sustainable development. Infrastructure projects will continue to be developed in the coming years, particularly in developing countries such as China and India; therefore, it is important to find methods and solutions for improving the sustainability of them. Although existing studies have suggested various methods for practicing sustainable development principles in the process of implementing infrastructure projects, effective assessment indicators are unavailable, which presents a barrier to the effective assessment of infrastructure project sustainability. This study introduces key assessment indicators (KAIs) for assessing the sustainability performance of an infrastructure project. The research data used for analysis were collected from a questionnaire survey given to three groups of experts, including government officials, professionals, and clients in the Chinese construction industry. The fuzzy set theory was used to establish KAIs. A procedure for using the KAIs is demonstrated by a case study. These research findings provide an alternative solution to appraise the sustainability of infrastructure projects.

Tserng, H P, Liao, H, Tsai, L K and Chen, P (2011) Predicting Construction Contractor Default with Option-Based Credit Models—Models’ Performance and Comparison with Financial Ratio Models. Journal of Construction Engineering and Management, 137(06), 412–20.