Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 18 results ...
Assaad, R and El-adaway, I H (2020) Enhancing the Knowledge of Construction Business Failure: A Social Network Analysis Approach. Journal of Construction Engineering and Management, 146(06), 04020052.
Chew, Y T E, Atay, E and Bayraktaroglu, S (2020) Female Engineers’ Happiness and Productivity in Organizations with Paternalistic Culture. Journal of Construction Engineering and Management, 146(06).
Dhal, M (2020) Labor Stand: Face of Precarious Migrant Construction Workers in India. Journal of Construction Engineering and Management, 146(06).
Herrera, R F, Mourgues, C, Alarcón, L F and Pellicer, E (2020) Understanding Interactions between Design Team Members of Construction Projects Using Social Network Analysis. Journal of Construction Engineering and Management, 146(06).
Hoseini, E, Bosch-Rekveldt, M and Hertogh, M (2020) Cost Contingency and Cost Evolvement of Construction Projects in the Preconstruction Phase. Journal of Construction Engineering and Management, 146(06).
Jang, Y, Song, K, Park, M and Ahn, Y (2020) Classifying the Business Model Types of International Construction Contractors. Journal of Construction Engineering and Management, 146(06).
Jin, Z and Gambatese, J (2020) Exploring the Potential of Technological Innovations for Temporary Structures: A Survey Study. Journal of Construction Engineering and Management, 146(06).
Li, G, Zhang, G, Chen, C and Martek, I (2020) Empirical Bid or No Bid Decision Process in International Construction Projects: Structural Equation Modeling Framework. Journal of Construction Engineering and Management, 146(06).
Li, S, Wu, X, Wang, X and Hu, S (2020) Relationship between Social Capital, Safety Competency, and Safety Behaviors of Construction Workers. Journal of Construction Engineering and Management, 146(06).
Liang, Y, Ashuri, B and Sun, W (2020) Analysis of the Variability of Project Cost and Schedule Performance in the Design-Build Environment. Journal of Construction Engineering and Management, 146(06).
Liu, X, Wang, X, Zhao, Y and Xia, N (2020) Solving Workplace Deviant Behavior in Construction by Leader–Member Exchange and Leader–Member . Journal of Construction Engineering and Management, 146(06), 04020061.
Lu, H, Behbahani, S, Azimi, M, Matthews, J C, Han, S and Iseley, T (2020) Trenchless Construction Technologies for Oil and Gas Pipelines: State-of-the-Art Review. Journal of Construction Engineering and Management, 146(06).
Mohammadi, A, Amador-Jimenez, L and Nasiri, F (2020) Reliable, Effective, and Sustainable Urban Railways: A Model for Optimal Planning and Asset Management. Journal of Construction Engineering and Management, 146(06).
Sherafat, B, Ahn, C R, Akhavian, R, Behzadan, A H, Golparvar-Fard, M, Kim, H, Lee, Y, Rashidi, A and Azar, E R (2020) Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review. Journal of Construction Engineering and Management, 146(06).
- Type: Journal Article
- Keywords: Construction equipment; Worker; Location tracking; Activity recognition; Activity tracking; Performance monitoring; Machine learning; Convolutional neural network; Audio-based method; Kinematic-based method; Vision-based method;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001843
- Abstract:
Equipment and workers are two important resources in the construction industry. Performance monitoring of these resources would help project managers improve the productivity rates of construction jobsites and discover potential performance issues. A typical construction workface monitoring system consists of four major levels: location tracking, activity recognition, activity tracking, and performance monitoring. These levels are employed to evaluate work sequences over time and also assess the workers’ and equipment’s well-being and abnormal edge cases. Results of an automated performance monitoring system could be used to employ preventive measures to minimize operating/repair costs and downtimes. The authors of this paper have studied the feasibility of implementing a wide range of technologies and computational techniques for automated activity recognition and tracking of construction equipment and workers. This paper provides a comprehensive review of these methods and techniques as well as describes their advantages, practical value, and limitations. Additionally, a multifaceted comparison between these methods is presented, and potential knowledge gaps and future research directions are discussed.
Shoieb, K, Serror, M H and Marzouk, M (2020) Web-Based Tool for Interoperability among Structural Analysis Applications. Journal of Construction Engineering and Management, 146(06).
Yao, M, Wang, F, Chen, Z and Ye, H (2020) Optimal Incentive Contract with Asymmetric Cost Information. Journal of Construction Engineering and Management, 146(06).
Zhang, M, Cao, Z, Yang, Z and Zhao, X (2020) Utilizing Computer Vision and Fuzzy Inference to Evaluate Level of Collision Safety for Workers and Equipment in a Dynamic Environment. Journal of Construction Engineering and Management, 146(06).
Zhang, X and Tariq, S (2020) Failure Mechanisms in International Water PPP Projects: A Public Sector Perspective. Journal of Construction Engineering and Management, 146(06).