Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 19 results ...
Ballesteros-Pérez, P, Phua, F T T and Mora-Melià, D (2019) Human Resource Allocation to Multiple Projects Based on Members’ Expertise, Group Heterogeneity, and Social Cohesion. Journal of Construction Engineering and Management, 145(02).
Beltrão, L M P and Carvalho, M T M (2019) Prioritizing Construction Risks Using Fuzzy AHP in Brazilian Public Enterprises. Journal of Construction Engineering and Management, 145(02).
Carmichael, D G, Nguyen, T A and Shen, X (2019) Single Treatment of PPP Road Project Options. Journal of Construction Engineering and Management, 145(02).
Elmasry, M, Zayed, T and Hawari, A (2019) Multi-Objective Optimization Model for Inspection Scheduling of Sewer Pipelines. Journal of Construction Engineering and Management, 145(02).
Gurmu, A T (2019) Tools for Measuring Construction Materials Management Practices and Predicting Labor Productivity in Multistory Building Projects. Journal of Construction Engineering and Management, 145(02).
Hwang, B, Zhao, X and Yang, K W (2019) Effect of BIM on Rework in Construction Projects in Singapore: Status Quo, Magnitude, Impact, and Strategies. Journal of Construction Engineering and Management, 145(02).
Islam, M S, Nepal, M P and Skitmore, M (2019) Modified Fuzzy Group Decision-Making Approach to Cost Overrun Risk Assessment of Power Plant Projects. Journal of Construction Engineering and Management, 145(02).
Jafari, A, Valentin, V and Bogus, S M (2019) Identification of Social Sustainability Criteria in Building Energy Retrofit Projects. Journal of Construction Engineering and Management, 145(02).
Koskela, L, Ferrantelli, A, Niiranen, J, Pikas, E and Dave, B (2019) Epistemological explanation of lean construction. Journal of Construction Engineering and Management, 145(02), 04018131 .
Liang, R, Zhang, J, Wu, C, Sheng, Z and Wang, X (2019) Joint-Venture Contractor Selection Using Competitive and Collaborative Criteria with Uncertainty. Journal of Construction Engineering and Management, 145(02).
Noktehdan, M, Shahbazpour, M, Zare, M R and Wilkinson, S (2019) Innovation Management and Construction Phases in Infrastructure Projects. Journal of Construction Engineering and Management, 145(02).
Poleacovschi, C, Javernick-Will, A, Tong, T and Wanberg, J (2019) Engineers Seeking Knowledge: Effect of Control Systems on Accessibility of Tacit and Codified Knowledge. Journal of Construction Engineering and Management, 145(02).
Sakhakarmi, S, Park, J and Cho, C (2019) Enhanced Machine Learning Classification Accuracy for Scaffolding Safety Using Increased Features. Journal of Construction Engineering and Management, 145(02).
Tokdemir, O B, Erol, H and Dikmen, I (2019) Delay Risk Assessment of Repetitive Construction Projects Using Line-of-Balance Scheduling and Monte Carlo Simulation. Journal of Construction Engineering and Management, 145(02).
Trinh, M T, Feng, Y and Mohamed, S (2019) Framework for Measuring Resilient Safety Culture in Vietnam’s Construction Environment. Journal of Construction Engineering and Management, 145(02).
Valente, C P, Brandalise, F M P and Formoso, C T (2019) Model for Devising Visual Management Systems on Construction Sites. Journal of Construction Engineering and Management, 145(02).
Xu, J, Shi, Y and Zhao, S (2019) Reverse Logistics Network-Based Multiperiod Optimization for Construction and Demolition Waste Disposal. Journal of Construction Engineering and Management, 145(02).
Yao, H, Chen, Y, Chen, Y and Zhu, X (2019) Mediating Role of Risk Perception of Trust and Contract Enforcement in the Construction Industry. Journal of Construction Engineering and Management, 145(02).
Yoo, W, Ozer, H and Ham, Y (2019) System-Level Approach for Identifying Main Uncertainty Sources in Pavement Construction Life-Cycle Assessment for Quantifying Environmental Impacts. Journal of Construction Engineering and Management, 145(02).
- Type: Journal Article
- Keywords: Pavement construction; Life-cycle assessment (LCA); Uncertainty quantification; Environmental impacts;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001598
- Abstract:
Poor data quality in pavement construction life-cycle inventory (LCI) causes uncertainty in quantifying the associated environmental impact through life-cycle assessment (LCA). To reduce such LCA uncertainty while enhancing the reliability, several studies have been conducted on a screening procedure based on a quality assessment of the LCI input data to identify main sources of the resulting uncertainty. However, they often create additional uncertainty in the screening process and thus result in erroneous outcomes in identifying main uncertainty sources. This paper proposes a new system-level approach that enables the identification of main uncertainty sources through input data quality assessment upon reducing additional uncertainty. Based on the proposed preset criteria and by leveraging environmental emission quantities associated with each process, the authors first propose to achieve a consistent weighting process and then derive the system-level aggregated data quality indicator (ADQI). By utilizing the ADQI, system-level LCA uncertainty information is obtained through a modified beta distribution. The proposed method was evaluated through case studies on real-world pavement construction projects of the Illinois Tollway, and the main uncertainty sources, named key processes, were identified through sensitivity analyses. In the case studies, the plant operation, cement production, and binder production were identified as key processes in the given pavement construction project, contributing more than half of the total uncertainty resulting from poor data quality. Based on these findings, the proposed work is expected to help practitioners improve the reliability of pavement construction LCA through uncertainty-informed decision making to better reflect real project characteristics in the identified key processes.