Abstracts – Browse Results
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Bai, S, Li, M, Song, L and Kong, R (2021) Developing a Common Library of Prefabricated Structure Components through Graphic Media Mapping to Improve Design Efficiency. Journal of Construction Engineering and Management, 147(01).
Ernstsen, S N, Whyte, J, Thuesen, C and Maier, A (2021) How Innovation Champions Frame the Future: Three Visions for Digital Transformation of Construction. Journal of Construction Engineering and Management, 147(01).
Joubert, F, Steyn, E and Pretorius, L (2021) Using the HAZOP Method to Conduct a Risk Assessment on the Dismantling of Large Industrial Machines and Associated Structures: Case Study. Journal of Construction Engineering and Management, 147(01).
Kim, H and Ham, Y (2021) Increasing Reliability of Participatory Sensing for Utility Pole Condition Assessment Using Fuzzy Inference. Journal of Construction Engineering and Management, 147(01).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001968
- Abstract:
Aging infrastructure has become a safety issue for local communities. For example, aging and deteriorating utility poles in strong winds have a high risk of falling onto roads, adjacent houses, or vehicles, which could cause traffic jams, power outages, property damage, or casualties. To prevent such accidents, the infrastructure condition needs to be monitored on a regular basis, thereby facilitating proactive maintenance and repair. However, available monitoring resources are limited for inspecting numerous existing infrastructures in a timely manner, which hinders obtaining up-to-date records representing the current condition status. As an alternative monitoring method, participatory sensing has the potential for infrastructure inspection, leveraging the prevalence of citizens’ smartphones as a ubiquitous sensing device. Nonetheless, the reliability of crowdsourced data for infrastructure monitoring and how to improve it have not been investigated fully, although participatory sensing increasingly has been adopted in many studies. Because citizens generally do not have expertise in infrastructure condition assessment, a lack of understanding of the crowdsourced data reliability prevents participatory sensing from being implemented in practice. To advance the understanding of the crowdsourced data reliability for infrastructure assessment, this study investigated the discrepancy in infrastructure assessment results by citizens and by an expert. Wood utility poles were selected as a target infrastructure. This study investigated a way to reduce the deviation between the expert’s and the citizens’ responses through a fuzzy inference system along with particle swarm optimization and pattern search algorithms. The experimental results showed that the proposed fuzzy inference system reduced the evaluation error by 21.18%. The findings of this study have the potential to fill the knowledge gap for enhancing participatory sensing in infrastructure monitoring, thereby promoting future study to enhance its applicability for citizen-driven urban resilience.
Korb, S and Sacks, R (2021) Agent-Based Simulation of General Contractor–Subcontractor Interactions in a Multiproject Environment. Journal of Construction Engineering and Management, 147(01).
Li, M, Baek, M and Ashuri, B (2021) Forecasting Ratio of Low Bid to Owner’s Estimate for Highway Construction. Journal of Construction Engineering and Management, 147(01).
Love, P E D, Matthews, J and Fang, W (2021) Envisioning Rework in Practice: Emergent Insights from a Longitudinal Study. Journal of Construction Engineering and Management, 147(01).
Ma, L, Guo, H and Fang, Y (2021) Analysis of Construction Workers’ Safety Behavior Based on Myers-Briggs Type Indicator Personality Test in a Bridge Construction Project. Journal of Construction Engineering and Management, 147(01).
Mohamad, M and Tran, D Q (2021) Risk-Based Prioritization Approach to Construction Inspections for Transportation Projects. Journal of Construction Engineering and Management, 147(01).
Moon, S, Lee, G, Chi, S and Oh, H (2021) Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing. Journal of Construction Engineering and Management, 147(01).
Shabani Ardakani, S and Nik-Bakht, M (2021) Functional Evaluation of Change Order and Invoice Management Processes under Different Procurement Strategies: Social Network Analysis Approach. Journal of Construction Engineering and Management, 147(01).
Tai, H, Chen, J, Cheng, J, Wei, H, Hsu, S and Liu, H (2021) Determining Worker Training Time for Precast Component Production in Construction: Empirical Study in Taiwan. Journal of Construction Engineering and Management, 147(01).
Tetik, M, Peltokorpi, A, Seppänen, O, Leväniemi, M and Holmström, J (2021) Kitting Logistics Solution for Improving On-Site Work Performance in Construction Projects. Journal of Construction Engineering and Management, 147(01).
Wu, H, Qian, Q K, Straub, A and Visscher, H (2021) Stakeholder Perceptions of Transaction Costs in Prefabricated Housing Projects in China. Journal of Construction Engineering and Management, 147(01).
Wu, J, Sadraddin, H L, Ren, R, Zhang, J and Shao, X (2021) Invariant Signatures of Architecture, Engineering, and Construction Objects to Support BIM Interoperability between Architectural Design and Structural Analysis. Journal of Construction Engineering and Management, 147(01).
Yu, X and Ergan, S (2021) Key Variables in Determining Energy Shaving Capacity of Buildings during Demand Response Events. Journal of Construction Engineering and Management, 147(01).
Yu, X, Mehmood, K, Paulsen, N, Ma, Z and Kwan, H K (2021) Why Safety Knowledge Cannot be Transferred Directly to Expected Safety Outcomes in Construction Workers: The Moderating Effect of Physiological Perceived Control and Mediating Effect of Safety Behavior. Journal of Construction Engineering and Management, 147(01).
Zhang, S, Li, J, Li, Y and Zhang, X (2021) Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach. Journal of Construction Engineering and Management, 147(01).