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Ali, G M, Bouferguene, A and Al-Hussein, M (2023) Crane mat layout optimization based on agent-based greedy and reinforcement-learning approach. Journal of Construction Engineering and Management, 149(08).
Darko, A, Glushakova, I, Boateng, E B and Chan, A P C (2023) Using machine learning to improve cost and duration prediction accuracy in green building projects. Journal of Construction Engineering and Management, 149(08).
Do, Q, Moriyani, M A, Le, C and Le, T (2023) Cost-weighted tf-idf: A novel approach for measuring highway project similarity based on pay items' cost composition and term frequency. Journal of Construction Engineering and Management, 149(08).
Huang, C, Wang, Z K, Li, B, Wang, C, Xu, L S, Jiang, K, Liu, M, Guo, C X, Zhao, X F and Yang, H (2023) Discretized cell modeling for optimal layout of multiple tower cranes. Journal of Construction Engineering and Management, 149(08).
Kar, S and Jha, K N (2023) Examining the effect of material management practices on material availability and waste reduction in construction projects. Journal of Construction Engineering and Management, 149(08).
Leung, M Y, Wei, X and Wang, C (2023) Demystifying critical success factors for applying value management in construction projects along the belt and road regions: Focus group study. Journal of Construction Engineering and Management, 149(08).
Li, Q, Jiang, M, Tao, S, Hao, J and Chong, H Y (2023) The integrated problem of construction project scheduling and multiskilled staff assignment with learning effect. Journal of Construction Engineering and Management, 149(08).
Li, Y, He, N, Zhang, Y, Li, H and Zhang, C (2023) Optimization of capital structure for urban water PPP projects using mezzanine financing: Sustainable perspective. Journal of Construction Engineering and Management, 149(08).
Li, Y, Zhu, L, Xue, R and Han, Y (2023) How policy diffusion influences regional BIM innovation: An empirical study in China. Journal of Construction Engineering and Management, 149(08).
Pooladvand, S and Hasanzadeh, S (2023) Impacts of stress on workers' risk-taking behaviors: Cognitive tunneling and impaired selective attention. Journal of Construction Engineering and Management, 149(08).
Shang, M, Zhang, Y, He, Z, Qiao, H, Liu, X, Feng, Q, Xue, C, Zhang, Y, Su, F, Wang, J, Han, Y and Meng, X (2023) Workability properties of specified density concrete with municipal solid waste incinerator tailings added as a lightweight aggregate. Journal of Construction Engineering and Management, 149(08).
Shrestha, K (2023) Cost comparison of highway rest area operations: In-house workforce versus outsourcing methods. Journal of Construction Engineering and Management, 149(08).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-13214
- Abstract:
State departments of transportation (DOTs) typically use one of three approaches to operate highway rest areas (RAs): in-house workforce, method-based contracting (MBC), and performance-based contracting (PBC). State DOTs spend over $600 million annually to maintain their facilities and often outsource their work to save costs. Although some studies have calculated the annual cost of facilities operated by the three approaches, their findings are not directly comparable. The primary objective of this study is to compute and compare the average annual operating cost of individual RA facilities and the cost of RA data samples (average annual operating cost of a group of facilities in a specific year under a specific approach in a state) produced from these three approaches to achieve a cost-effective alternative. To achieve the objectives, research hypotheses were developed which state there are significant differences in the average annual costs produced by these three approaches. For data analysis, 6,248 cost data were collected from 29 states. From those individual cost data, 198 data samples were generated. Data sets were not normally distributed; thus, nonparametric tests were conducted to determine the group differences. The results show that outsourcing costs under the MBC are significantly less, followed by in-house and the PBC in both cases. The difference between in-house and PBC is also statistically significant. As the primary contribution, this paper investigated the MBC approach as the cost-effective option, and DOT engineers can utilize this approach in operating regular RA facilities to save costs. Caution should be taken when using the study findings in other types of facilities.
Tan, L, Zhang, Y, Chen, Y and Zhu, T (2023) A multiple-objective decision-support model for lighting maintenance routing considering carbon dioxide emissions and balanced workload. Journal of Construction Engineering and Management, 149(08).