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Ali, G M, Kosa, J, Bouferguene, A and Al-Hussein, M (2021) Competitive Assessment of Ice and Frozen Silt Mat for Crane Ground Support Using Finite-Element Analysis. Journal of Construction Engineering and Management, 147(06).
Alsharqawi, M, Abu Dabous, S, Zayed, T and Hamdan, S (2021) Budget Optimization of Concrete Bridge Decks under Performance-Based Contract Settings. Journal of Construction Engineering and Management, 147(06).
Han, B and Leite, F (2021) Measuring the Impact of Immersive Virtual Reality on Construction Design Review Applications: Head-Mounted Display versus Desktop Monitor. Journal of Construction Engineering and Management, 147(06).
Koc, K and Pelin Gurgun, A (2021) Assessment of Readability Risks in Contracts Causing Conflicts in Construction Projects. Journal of Construction Engineering and Management, 147(06).
Liang, Y, Ashuri, B and Li, M (2021) Forecasting the Construction Expenditure Cash Flow for Transportation Design-Build Projects with a Case-Based Reasoning Model. Journal of Construction Engineering and Management, 147(06).
Ma, G, Wu, M, Jia, J and Yang, W (2021) Two-Level Quality Decision Support System for Building Structural Damage Prediction and Maintenance Solution Recommendation in the Operation and Maintenance Phase. Journal of Construction Engineering and Management, 147(06).
Mohamed, M and Tran, D Q (2021) Risk-Based Inspection Model for Hot Mix Asphalt Pavement Construction Projects. Journal of Construction Engineering and Management, 147(06).
Pirzadeh, P and Lingard, H (2021) Working from Home during the COVID-19 Pandemic: Health and Well-Being of Project-Based Construction Workers. Journal of Construction Engineering and Management, 147(06).
Sharafi, A, Sadegh Amalnick, M and Allah Taleizadeh, A (2021) Outcome of Financial Conflicts in the Operation Phase of Public–Private Partnership Contracts. Journal of Construction Engineering and Management, 147(06).
Wang, X, Ye, K and Arditi, D (2021) Embodied Cost of Collusive Bidding: Evidence from China’s Construction Industry. Journal of Construction Engineering and Management, 147(06).
Ward, M, Poleacovschi, C, Faust, K and Svec, J (2021) Modeling Public Support for Utility Expansions in Displacement Situations. Journal of Construction Engineering and Management, 147(06).
Xue, J, Shen, G Q, Li, Y, Han, S and Chu, X (2021) Dynamic Analysis on Public Concerns in Hong Kong-Zhuhai-Macao Bridge: Integrated Topic and Sentiment Modeling Approach. Journal of Construction Engineering and Management, 147(06).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002066
- Abstract:
Public concerns exert far-reaching influence on various phases of megaprojects, requiring the decision makers to achieve dynamic analysis in the aspects of identification, measurement, and management. The study proposes an integrated topic and sentiment modeling approach to analyze the dynamics of public concerns from unstructured project documents. First, the topic-over-time (TOT) model is adopted to identify the public concerns and trace the trend of public popularity on the concerns. Second, the bidirectional encoder representations from transformers (BERT)-based sentiment model is developed to reveal the trend of public sentiment toward each public concern. Finally, a mirror “N” strategic model is proposed considering the trend of public popularity and sentiment, together with the classical public participation strategies: collaboration, consultation, involvement, and information. With the 1,748 official documents from the Hong Kong–Zhuhai–Macao Bridge, the proposed method is validated. As a result, 16 public concerns and their levels of popularity trends are identified in 16 years of project duration by the TOT model. The volatile and mild public sentiment changes are tracked in the timeline by the BERT-based sentiment model. The recommendation of management strategies derived from the mirror “N” strategic model is summarized on public concerns in three project phases: planning, construction, and handover. The dynamic data-driven method bridges the knowledge domains of public participation studies and text-mining technologies for better megaproject management.
Zhang, Q, Chen, Z, Li, J and Liu, S (2021) Pressure-Cast-In-Situ Pile with Spray-Expanded Frustum: Construction Equipment and Process. Journal of Construction Engineering and Management, 147(06).
Zhang, X, Le, Y, Liu, Y and Liu, M (2021) Fostering Ambidextrous Innovation in Infrastructure Projects: Differentiation and Integration Tactics of Cross-Functional Teams. Journal of Construction Engineering and Management, 147(06).