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Abbasi, S, Taghizade, K and Noorzai, E (2020) BIM-Based Combination of Takt Time and Discrete Event Simulation for Implementing Just in Time in Construction Scheduling under Constraints. Journal of Construction Engineering and Management, 146(12).
Assaad, R, El-adaway, I H, El Hakea, A H, Parker, M J, Henderson, T I, Salvo, C R and Ahmed, M O (2020) Contractual Perspective for BIM Utilization in US Construction Projects. Journal of Construction Engineering and Management, 146(12).
Assaad, R, El-adaway, I H, Hastak, M and Needy, K L (2020) Commercial and Legal Considerations of Offsite Construction Projects and their Hybrid Transactions. Journal of Construction Engineering and Management, 146(12).
Bangaru, S S, Wang, C, Zhou, X, Jeon, H W and Li, Y (2020) Gesture Recognition–Based Smart Training Assistant System for Construction Worker Earplug-Wearing Training. Journal of Construction Engineering and Management, 146(12).
Chang, S, Castro-Lacouture, D and Yamagata, Y (2020) Estimating Building Electricity Performance Gaps with Internet of Things Data Using Bayesian Multilevel Additive Modeling. Journal of Construction Engineering and Management, 146(12).
Erol, H, Dikmen, I, Atasoy, G and Birgonul, M T (2020) Exploring the Relationship between Complexity and Risk in Megaconstruction Projects. Journal of Construction Engineering and Management, 146(12).
Jallan, Y and Ashuri, B (2020) Text Mining of the Securities and Exchange Commission Financial Filings of Publicly Traded Construction Firms Using Deep Learning to Identify and Assess Risk. Journal of Construction Engineering and Management, 146(12).
Kong, F and Dou, D (2020) RCPSP with Combined Precedence Relations and Resource Calendars. Journal of Construction Engineering and Management, 146(12).
Li, H, Luo, X and Skitmore, M (2020) Intelligent Hoisting with Car-Like Mobile Robots. Journal of Construction Engineering and Management, 146(12).
Loosemore, M, Sunindijo, R Y and Zhang, S (2020) Comparative Analysis of Safety Climate in the Chinese, Australian, and Indonesian Construction Industries. Journal of Construction Engineering and Management, 146(12).
Mahdavian, A and Shojaei, A (2020) Hybrid Genetic Algorithm and Constraint-Based Simulation Framework for Building Construction Project Planning and Control. Journal of Construction Engineering and Management, 146(12).
Nguyen, P H D, Tran, D Q and Lines, B C (2020) Empirical Inference System for Highway Project Delivery Selection Using Fuzzy Pattern Recognition. Journal of Construction Engineering and Management, 146(12).
- Type: Journal Article
- Keywords: Fuzzy inference system; Pattern recognition; Project delivery methods; Cost growth; Highway construction projects; Delivery risks;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001950
- Abstract:
Selection of a project delivery method in highway construction is a challenging task because of the many decision criteria involved. In addition to quantitative project attributes, the project delivery decision-making process also typically relies on qualitative measures such as subjective judgments and experts’ opinions based on their experience with similar completed projects. Although current probabilistic methods provide a robust means to analyze quantitative data, they are not ideally suited for treating uncertainties encountered in qualitative data. To overcome the identified gap, this study investigated fuzzy pattern recognition, a mathematical technique based on fuzzy sets and fuzzy logic, to model a combination of quantitative and qualitative variables in highway project delivery selection. A fuzzy rule-based inference system was developed, trained, and tested using 254 empirical highway projects with particular project attributes including project type, project complexity, delivery risk, and cost performance. The proposed system was verified by performing a case project with the result of accurately recognizing the true project delivery method used and associated cost growth performance expectations. The flexibility of fuzzy membership functions in the proposed system helps leverage the evaluation of a combination of quantitative and qualitative variables in project delivery method selection in complex highway construction projects. In addition, this data-driven fuzzy inference system also allows for multiple decision scenarios based on the decision maker’s judgments of delivery risks and project complexity. This study contributes to the body of knowledge by developing an empirical inference system to recognize possible patterns of delivery methods associated with cost growths for new highway projects. This study may assist highway agencies in making project delivery decisions based on project attributes, historical data, and their relevant experience.
Roupé, M, Johansson, M, Maftei, L, Lundstedt, R and Viklund-Tallgren, M (2020) Virtual Collaborative Design Environment: Supporting Seamless Integration of Multitouch Table and Immersive VR. Journal of Construction Engineering and Management, 146(12).
Sarihi, M, Shahhosseini, V and Banki, M T (2020) Multiskilled Project Management Workforce Assignment across Multiple Projects Regarding Competency. Journal of Construction Engineering and Management, 146(12).
Shi, J, Liu, B, Tan, J, Dai, J, Chen, J and Ji, R (2020) Experimental Studies and Microstructure Analysis for Rapid-Hardening Cement Emulsified Asphalt Mortar. Journal of Construction Engineering and Management, 146(12).
Signor, R, Love, P E D, Marchiori, F F and Felisberto, A D (2020) Underpricing in Social Infrastructure Projects: Combating the Institutionalization of the Winner’s Curse. Journal of Construction Engineering and Management, 146(12).
Wang, D, Wang, Y and Lu, Y (2020) Impact of Regulatory Focus on Uncertainty in Megaprojects: Mediating Role of Trust and Control. Journal of Construction Engineering and Management, 146(12).
Wu, W, Sandoval, A, Gunji, V, Ayer, S K, London, J, Perry, L, Patil, K and Smith, K (2020) Comparing Traditional and Mixed Reality-Facilitated Apprenticeship Learning in a Wood-Frame Construction Lab. Journal of Construction Engineering and Management, 146(12).
Xu, X, Chen, K and Cai, H (2020) Automating Utility Permitting within Highway Right-of-Way via a Generic UML/OCL Model and Natural Language Processing. Journal of Construction Engineering and Management, 146(12).
Yin, X, Bouferguene, A and Al-Hussein, M (2020) Data-Driven Sewer Pipe Data Random Generation and Validation. Journal of Construction Engineering and Management, 146(12).