Construction Research Congress 2020
Dynamic Analysis on Public Concerns in Hong Kong-Zhuhai-Macao Bridge: A Topic Modeling Approach
Publication: Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
ABSTRACT
Public concerns are essential for megaproject success, meanwhile highly influencing on the stakeholder performance. To understand the dynamics of public concerns in the project duration is beneficial for decision-makers to identify the risks and improve their adaptability in an uncertain project environment. This study employed the topic over time (TOT) based model to detect the major public concerns with the 1,748 official documents on Hong Kong-Zhuhai-Macao Bridge from 2003 to 2018, including the planning, construction, and delivery stage. As a result, 16 public concerns were detected, and the popularity trend of each concern was revealed year by year. Moreover, one scoring system was built to explore the relevant stakeholders for each public concern in the timeline. Considering the popularity trend and stakeholder relevance, a managerial map was designed to visualize the criticalness of each public concern in different stages of megaprojects. Finally, the “Mirror Z” approach was proposed for decision-makers to determine the management priority for identified public concerns. The finding showed the public concerns cover the wide-range issues including the government cooperation, environmental impacts, commercial development, alignment options, financing arrangements, operational arrangements, design, and construction, even radiating to the sustainable development of local towns and infrastructure. The management priority is varied according to the managerial map in each stage. The dynamic study proposed a method to comprehensively reveal the changes in public concerns, which provides useful guidelines for future mage transport projects. The text-mining based approach also benefits the scholars to obtain empirical clues from a large group of unstructured text documents in the domain of the megaproject research.
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ACKNOWLEDGEMENTS
The research described in this paper is fully supported by the National Natural Science Foundation of China (Grant No.71671156).
REFERENCES
BOYER, E. J., VAN SLYKE, D. M. & ROGERS, J. D. 2015. An empirical examination of public involvement in public-private partnerships: Qualifying the benefits of public involvement in PPPs. Journal of Public Administration Research and Theory, 26, 45-61.
BREUKERS, S. & UPHAM, P. 2015. Organisational aspects of public engagement in European energy infrastructure planning: the case of early-stage CCS projects. Journal of environmental planning and management, 58, 252-269.
FLYVBJERG, B. 2014. What you should know about megaprojects and why: An overview. Project Management Journal,45,6-19.
LEONIDOU, L. C., CHRISTODOULIDES, P., KYRGIDOU, L. P. & PALIHAWADANA, D. 2017. Internal drivers and performance consequences of small firm green business strategy: The moderating role of external forces. Journal of Business Ethics,140,585-606.
LI, Y., WEI, B., CHEN, H., JIANG, L. & LI, Z. Cross-domain learning based traditional Chinese medicine medical record classification. 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2015. IEEE, 335-340.
LIN, H., SUI, Y., MA, H., WANG, L. & ZENG, S. 2018. CEO narcissism, public concern, and megaproject social responsibility: Moderated mediating examination. Journal of Management in Engineering,34,04018018.
MIMNO, D., WALLACH, H. M., TALLEY, E., LEENDERS, M., & MCCALLUM, A. Optimizing semantic coherence in topic models. Proceedings of the conference on empirical methods in natural language processing, 2011. Association for Computational Linguistics, 262-272.
MIN, J. H., JANG, W., HAN, S. H., KIM, D. & KWAK, Y. H. 2018. How conflict occurs and what causes conflict: conflict analysis framework for public infrastructure projects. Journal of Management in Engineering, 34, 04018019.
WANG, X. & MCCALLUM, A. Topics over time: a non-Markov continuous-time model of topical trends. Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 2006. ACM, 424-433.
YAO, L., ZHANG, Y., WEI, B., LI, L., WU, F., ZHANG, P. & BIAN, Y. 2016. Concept over time: the combination of probabilistic topic model with wikipedia knowledge. Expert Systems with Applications, 60, 27-38.
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Published In
Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
Pages: 160 - 170
Editors: David Grau, Ph.D., Arizona State University, Pingbo Tang, Ph.D., Arizona State University, and Mounir El Asmar, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8288-9
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© 2020 American Society of Civil Engineers.
History
Published online: Nov 9, 2020
Published in print: Nov 9, 2020
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