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Al-Bayati, A J and Panzer, L (2019) Reducing Damage to Underground Utilities: Lessons Learned from Damage Data and Excavators in North Carolina. Journal of Construction Engineering and Management, 145(12).

Andrić, J M, Wang, J, Zou, P X W, Zhang, J and Zhong, R (2019) Fuzzy Logic–Based Method for Risk Assessment of Belt and Road Infrastructure Projects. Journal of Construction Engineering and Management, 145(12).

  • Type: Journal Article
  • Keywords: Infrastructure projects; Risk assessment; Fuzzy logic; Belt and Road Initiative; Silk Road Economic Belt; 21st-Century Maritime Silk Road;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001721
  • Abstract:
    The Belt and Road Initiative (BRI) is an ambitious economic project proposed by the Chinese government that focuses on establishing connectivity, strengthening cooperation, and creating closer economic ties among countries. The idea of BRI is based on the revival of the ancient Silk Road, a trade route that was once connecting China with Central Asia, India, Middle East, Western Asia, and Europe. More than 1,700 infrastructure projects are planned to be implemented under BRI. Such a huge infrastructure investment brings a lot of opportunities as well as risks for nations along the Silk Road, their governments, contractors, and investors. Compared to traditional international construction projects, BRI projects are exposed to additional risks since they are geographically distributed and complex in nature and include more stakeholders. Hence, risk assessment of BRI projects is a complex task that requires an efficient tool capable of providing detailed information about critical risks. To bridge this gap, a novel method is developed and applied to the risk assessment of complex, geographically distributed, and large-scale infrastructure projects, such as BRI projects. The proposed risk assessment method integrates fuzzy matrices, fuzzy logic, and probabilistic theory into a single approach that is applied to assess risks in BRI projects for different regions, as well as regional risk and total risk. In addition, sensitivity analysis is used to optimize the proposed fuzzy logic–based risk assessment method. The key findings are as follows: (1) the main risks in BRI projects are delay in supplying materials, increases in material prices, poor quality of materials, delays in equipment delivery, increases in the costs of equipment use, and economic risk; (2) the highest risk-ranked regions in BRI projects are Central Asia and Eastern Europe, while the lowest risk-ranked region is East Asia; and (3) a weighted-average method is the optimal defuzzification method for the proposed fuzzy logic–based method. The theoretical contribution of this research is a novel risk assessment method that integrates expert judgment, fuzzy sets, fuzzy logic, fuzzy matrices, and probabilistic theory into a single approach supported by sensitivity analysis. In practical terms, this study provides significant information about risks in various regions, regional risk, and overall risk of BRI projects to contractors, investors, and other stakeholders.

Cha, G, Park, S and Oh, T (2019) A Terrestrial LiDAR-Based Detection of Shape Deformation for Maintenance of Bridge Structures. Journal of Construction Engineering and Management, 145(12).

Chang, T, Deng, X, Hwang, B and Zhao, X (2019) Improving Quantitative Assessment of Political Risk in International Construction Projects: The Case of Chinese Construction Companies. Journal of Construction Engineering and Management, 145(12).

Han, Y, Yin, Z, Liu, J, Jin, R, Gidado, K, Painting, N, Yang, Y and Yan, L (2019) Defining and Testing a Safety Cognition Framework Incorporating Safety Hazard Perception. Journal of Construction Engineering and Management, 145(12).

Innella, F, Arashpour, M and Bai, Y (2019) Lean Methodologies and Techniques for Modular Construction: Chronological and Critical Review. Journal of Construction Engineering and Management, 145(12).

Jebelli, H, Choi, B and Lee, S (2019) Application of Wearable Biosensors to Construction Sites. I: Assessing Workers’ Stress. Journal of Construction Engineering and Management, 145(12).

Jebelli, H, Choi, B and Lee, S (2019) Application of Wearable Biosensors to Construction Sites. II: Assessing Workers’ Physical Demand. Journal of Construction Engineering and Management, 145(12).

Li, X, Li, H, Cao, D, Tang, Y, Luo, X and Wang, G (2019) Modeling Dynamics of Project-Based Collaborative Networks for BIM Implementation in the Construction Industry: Empirical Study in Hong Kong. Journal of Construction Engineering and Management, 145(12).

Luo, S, Liu, Z, Yang, X, Lu, Q and Yin, J (2019) Construction Technology of Warm and Hot Mix Epoxy Asphalt Paving for Long-Span Steel Bridge. Journal of Construction Engineering and Management, 145(12).

Olivieri, H, Seppänen, O, Alves, T d C L, Scala, N M, Schiavone, V, Liu, M and Granja, A D (2019) Survey Comparing Critical Path Method, Last Planner System, and Location-Based Techniques. Journal of Construction Engineering and Management, 145(12).

Voordijk, J T (2019) Technological Mediation in Construction: Postphenomenological Inquiry into Digital Technologies. Journal of Construction Engineering and Management, 145(12).

Yeganeh, A A, Azizi, M and Falsafi, R (2019) Root Causes of Design-Construction Interface Problems in Iranian Design-Build Projects. Journal of Construction Engineering and Management, 145(12).