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Abdul Nabi, M and El-adaway, I H (2021) Risk-Based Approach to Predict the Cost Performance of Modularization in Construction Projects. Journal of Construction Engineering and Management, 147(10).

Ahmed, M O, Khalef, R, Ali, G G and El-adaway, I H (2021) Evaluating Deterioration of Tunnels Using Computational Machine Learning Algorithms. Journal of Construction Engineering and Management, 147(10).

  • Type: Journal Article
  • Keywords: Tunnels; Deterioration modeling; Machine learning; Infrastructure management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002162
  • Abstract:
    Tunnels are an integrated part of the transportation infrastructure. Structural evaluation and inspection of tunnels are vital tasks to assess the deterioration of tunnels and maintain their level of service. Researchers have developed many predictive models that describe the deterioration of various infrastructure systems using data from formal inspections. However, there is a lack of research that developed predictive models of deterioration of tunnels in the US. Therefore, this paper investigated the feasibility of using various machine learning techniques to develop a computational data-driven decision support tool that predicts the deterioration of tunnels in the US. An ex ante framework for predicting the deterioration of tunnels in the US was developed. The research methodology comprised (1) collecting, cleaning, and standardizing data for tunnels in the US from the Federal Highway Administration (FHWA); (2) identifying the best subset of variables that allow predicting the deterioration of tunnels; (3) utilizing existing machine learning algorithms, namely k-nearest neighbors (KNN), random forest (RF), artificial neural networks (ANNs), and support vector machine (SVM), to develop classification models that predict the deterioration of tunnels; (4) optimizing the accuracy of the developed models by determining the best set of hyperparameters that result in the most accurate performance; (5) comparing the performance of the developed models and selecting the best performing model to be used as a decision support tool; and (6) evaluating and validating the performance of the selected model. The results identified 18 variables that greatly affect the deterioration of tunnels, with the tunnel width having the greatest impact on the prediction of deterioration of tunnels. Results indicated that the RF algorithm reached an accuracy of 85.38%, which was the highest accuracy, compared with KNN, ANN, and SVM, which reached an accuracy of 80.12%, 56.14%, and 56.73%, respectively. In addition, the entropy criterion function with a maximum of five features and 500 estimators successfully constructed the best hyperparameters for the selected RF model. Therefore, the developed decision support tool can be used by transportation entities to estimate the overall condition of tunnels based on specific tunnel parameters with reasonable prediction accuracy. It also can aid decision makers in developing, optimizing, and prioritizing maintenance plans and allocation of funding.

Baker, M, Ali, M and French, E (2021) Leadership Diversity and Its Influence on Equality Initiatives and Performance: Insights for Construction Management. Journal of Construction Engineering and Management, 147(10).

Cruz Rios, F, Grau, D and Bilec, M (2021) Barriers and Enablers to Circular Building Design in the US: An Empirical Study. Journal of Construction Engineering and Management, 147(10).

Gharouni Jafari, K and Noorzai, E (2021) Selecting the Most Appropriate Project Manager to Improve the Performance of the Occupational Groups in Road Construction Projects in Warm Regions. Journal of Construction Engineering and Management, 147(10).

Grau, D, Cruz Rios, F and Sherman, R (2021) Project Validation: A Set-Based and Concurrent Design Approach to Inform Owner’s Authorization Decision on Complex Projects. Journal of Construction Engineering and Management, 147(10).

Haronian, E and Sacks, R (2021) Production Control in Earthworks: Concepts and Metrics. Journal of Construction Engineering and Management, 147(10).

He, W, Li, W, Xu, S, Wang, W and An, X (2021) Time, Cost, and Energy Consumption Analysis on Construction Optimization in High-Rise Buildings. Journal of Construction Engineering and Management, 147(10).

Hijazi, A A, Perera, S, Calheiros, R N and Alashwal, A (2021) Rationale for the Integration of BIM and Blockchain for the Construction Supply Chain Data Delivery: A Systematic Literature Review and Validation through Focus Group. Journal of Construction Engineering and Management, 147(10).

Hong, Y, Xie, H, Bhumbra, G and Brilakis, I (2021) Comparing Natural Language Processing Methods to Cluster Construction Schedules. Journal of Construction Engineering and Management, 147(10).

Jang, Y, Kim, K, Leite, F, Ayer, S and Cho, Y K (2021) Identifying the Perception Differences of Emerging Construction-Related Technologies between Industry and Academia to Enable High Levels of Collaboration. Journal of Construction Engineering and Management, 147(10).

Kim, J, Kamari, M, Lee, S and Ham, Y (2021) Large-Scale Visual Data–Driven Probabilistic Risk Assessment of Utility Poles Regarding the Vulnerability of Power Distribution Infrastructure Systems. Journal of Construction Engineering and Management, 147(10).

Kim, J, Shan, Y, Kim, S, Song, D, Park, H and Bang, C (2021) Factors Influencing Fire Safety on Building Construction Sites: A Fire Officer’s Perspective. Journal of Construction Engineering and Management, 147(10).

Koc, K and Okudan, O (2021) Assessment of Life Cycle Risks of Deconstruction in Urban Regeneration Projects. Journal of Construction Engineering and Management, 147(10).

Le, C, Jeong, H D and Damnjanovic, I (2021) Network Theory–Driven Construction Logic Knowledge Network: Process Modeling and Application in Highway Projects. Journal of Construction Engineering and Management, 147(10).

Li, M and Ashuri, B (2021) Proportional Cox Hazards Model to Quantify the Likelihood of Underestimation in Transportation Projects. Journal of Construction Engineering and Management, 147(10).

Liang, C, Wang, X, Kamat, V R and Menassa, C C (2021) Human–Robot Collaboration in Construction: Classification and Research Trends. Journal of Construction Engineering and Management, 147(10).

Lu, W, Wu, L, Zhao, R, Li, X and Xue, F (2021) Blockchain Technology for Governmental Supervision of Construction Work: Learning from Digital Currency Electronic Payment Systems. Journal of Construction Engineering and Management, 147(10).

Lu, Y and Zhu, Y (2021) Integrating Hoisting Efficiency into Construction Site Layout Plan Model for Prefabricated Construction. Journal of Construction Engineering and Management, 147(10).

Oguz Erkal, E D, Hallowell, M R and Bhandari, S (2021) Practical Assessment of Potential Predictors of Serious Injuries and Fatalities in Construction. Journal of Construction Engineering and Management, 147(10).

Pirzadeh, P, Lingard, H and Blismas, N (2021) Design Decisions and Interactions: A Sociotechnical Network Perspective. Journal of Construction Engineering and Management, 147(10).

Pons, O, Casanovas-Rubio, M M, Armengou, J and de la Fuente, A (2021) Sustainability-Driven Decision-Making Model: Case Study of Fiber-Reinforced Concrete Foundation Piles. Journal of Construction Engineering and Management, 147(10).

Pushpakumara, B H J and Thusitha, G A (2021) Development of a Structural Health Monitoring Tool for Underwater Concrete Structures. Journal of Construction Engineering and Management, 147(10).

Sadeh, H, Mirarchi, C and Pavan, A (2021) Integrated Approach to Construction Risk Management: Cost Implications. Journal of Construction Engineering and Management, 147(10).

Sezer, A A, Thunberg, M and Wernicke, B (2021) Digitalization Index: Developing a Model for Assessing the Degree of Digitalization of Construction Projects. Journal of Construction Engineering and Management, 147(10).

Shin, S and Issa, R R A (2021) BIMASR: Framework for Voice-Based BIM Information Retrieval. Journal of Construction Engineering and Management, 147(10).

Shoaib Khan, M, Kim, J, Park, S, Lee, S and Seo, J (2021) Methodology for Voxel-Based Earthwork Modeling. Journal of Construction Engineering and Management, 147(10).

Wu, K and García de Soto, B (2021) Lifting Sequence Optimization of Luffing Tower Cranes Considering Motion Paths with Dynamic Programming. Journal of Construction Engineering and Management, 147(10).

Xiang, Z, Rashidi, A and Ou, G (2021) Automated Framework to Translate Rebar Spatial Information from GPR into BIM. Journal of Construction Engineering and Management, 147(10).

Yoon, Y and GangaRao, H (2021) Prioritization Framework for Rockfall Countermeasures for Rock-Cut Slopes for Rural Roads. Journal of Construction Engineering and Management, 147(10).

Zhao, D, Duva, M, Mollaoglu, S, Frank, K, Garcia, A and Tait, J (2021) Integrative Collaboration in Fragmented Project Organizations: Network Perspective. Journal of Construction Engineering and Management, 147(10).