Dynamic Analysis on Public Concerns in Hong Kong-Zhuhai-Macao Bridge: Integrated Topic and Sentiment Modeling Approach
Publication: Journal of Construction Engineering and Management
Volume 147, Issue 6
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.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Data generated or analyzed during the study are available from the corresponding author by request.
Acknowledgments
The research described in this paper is fully supported by the National Natural Science Foundation of China (Grant No.71671156). Some parts of research outcomes were presented in the Construction Research Congress 2020 and won the best paper award on the Project and Organizational Management and Planning Track. Furthermore, Jin Xue (first author) and Yiming Li (third author) shared the equal contribution to the research.
References
Arnstein, S. R. 1969. “A ladder of citizen participation.” J. Am. Inst. Plann. 35 (Nov): 216–224. https://doi.org/10.1080/01944366908977225.
Bertot, J. C., P. T. Jaeger, and D. Hansen. 2012. “The impact of polices on government social media usage: Issues, challenges, and recommendations.” Gov. Inf. Q. 29 (1): 30–40. https://doi.org/10.1016/j.giq.2011.04.004.
Blei, D. M., A. Y. Ng, and M. I. Jordan. 2003. “Latent Dirichlet allocation.” J. Mach. Learn. Res. 3 (Mar): 993–1022.
Boyer, E. J., D. M. Van Slyke, and J. D. Rogers. 2015. “An empirical examination of public involvement in public-private partnerships: Qualifying the benefits of public involvement in PPPs.” J. Public Administration Res. Theory 26 (1): 45–61. https://doi.org/10.1093/jopart/muv008.
Breukers, S., and P. Upham. 2015. “Organisational aspects of public engagement in European energy infrastructure planning: The case of early-stage CCs projects.” J. Environ. Plann. Manage. 58 (2): 252–269. https://doi.org/10.1080/09640568.2013.851597.
Brown, G., S. Sanders, and P. Reed. 2018. “Using public participatory mapping to inform general land use planning and zoning.” Landscape Urban Plann. 177 (Sep): 64–74. https://doi.org/10.1016/j.landurbplan.2018.04.011.
Cao, J., K. Zeng, H. Wang, J. Cheng, F. Qiao, D. Wen, and Y. Gao. 2013. “Web-based traffic sentiment analysis: Methods and applications.” IEEE Trans. Intell. Transp. Syst. 15 (2): 844–853. https://doi.org/10.1109/TITS.2013.2291241.
Devlin, J., M.-W. Chang, K. Lee, and K. Toutanova. 2018. “Bert: Pre-training of deep bidirectional transformers for language understanding.” Preprint, submitted October 11, 2018. http://arxiv.org/abs/1810.04805.
Fishkin, J. S., R. C. Luskin, and R. Jowell. 2000. “Deliberative polling and public consultation.” Parliamentary Aff. 53 (4): 657–666. https://doi.org/10.1093/pa/53.4.657.
Flyvbjerg, B. 2014. “What you should know about megaprojects and why: An overview.” Project Manage. J. 45 (2): 6–19. https://doi.org/10.1002/pmj.21409.
Gui, L., Y. Zhou, R. Xu, Y. He, and Q. Lu. 2017. “Learning representations from heterogeneous network for sentiment classification of product reviews.” Knowl.-Based Syst. 124 (May): 34–45. https://doi.org/10.1016/j.knosys.2017.02.030.
Hall, D. M., and E. D. Lazarus. 2015. “Deep waters: Lessons from community meetings about offshore wind resource development in the US.” Mar. Policy 57 (Jul): 9–17. https://doi.org/10.1016/j.marpol.2015.03.004.
Hemmatian, F., and M. K. Sohrabi. 2019. “A survey on classification techniques for opinion mining and sentiment analysis.” Artif. Intell. Rev. 52 (3): 1–51. https://doi.org/10.1007/s10462-017-9599-6.
Hofmann, T. 2001. “Unsupervised learning by probabilistic latent semantic analysis.” Mach. Learn. 42 (1): 177–196. https://doi.org/10.1023/A:1007617005950.
Jami, A. A., and P. R. Walsh. 2014. “The role of public participation in identifying stakeholder synergies in wind power project development: The case study of Ontario, Canada.” Renewable Energy 68 (Aug): 194–202. https://doi.org/10.1016/j.renene.2014.02.004.
Jiang, H., P. Lin, and M. Qiang. 2016a. “Public-opinion sentiment analysis for large hydro projects.” J. Constr. Eng. Manage. 142 (2): 05015013. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001039.
Jiang, H., M. Qiang, and P. Lin. 2016b. “Assessment of online public opinions on large infrastructure projects: A case study of the three gorges project in China.” Environ. Impact Assess. Rev. 61 (Nov): 38–51. https://doi.org/10.1016/j.eiar.2016.06.004.
Jiang, H., M. Qiang, and P. Lin. 2016c. “A topic modeling based bibliometric exploration of hydropower research.” Renewable Sustainable Energy Rev. 57 (May): 226–237. https://doi.org/10.1016/j.rser.2015.12.194.
Jiang, H., M. Qiang, and P. Lin. 2016d. “Finding academic concerns of the Three Gorges project based on a topic modeling approach.” Ecol. Indic. 60 (Jan): 693–701. https://doi.org/10.1016/j.ecolind.2015.08.007.
Koller, D., and N. Friedman. 2009. Probabilistic graphical models: Principles and techniques. Cambridge, MA: MIT Press.
Leung, M.-Y., J. Yu, and Y. S. Chan. 2014. “Focus group study to explore critical factors of public engagement process for mega development projects.” J. Constr. Eng. Manage. 140 (3): 04013061. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000815.
Leung, M.-Y., J. Yu, and Q. Liang. 2013. “Improving public engagement in construction development projects from a stakeholder’s perspective.” J. Constr. Eng. Manage. 139 (11): 04013019. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000754.
Li, T. H., S. T. Ng, and M. Skitmore. 2016. “Modeling multi-stakeholder multi-objective decisions during public participation in major infrastructure and construction projects: A decision rule approach.” J. Constr. Eng. Manage. 142 (3): 04015087. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001066.
Li, X., L. Bing, W. Zhang, and W. Lam. 2019. “Exploiting Bert for end-to-end aspect-based sentiment analysis.” Preprint, submitted October 2, 2019. http://arxiv.org/abs/1910.00883.
Li, Y., B. Wei, Y. Liu, L. Yao, H. Chen, J. Yu, and W. Zhu. 2018. “Incorporating knowledge into neural network for text representation.” Expert Syst. Appl. 96 (Apr): 103–114. https://doi.org/10.1016/j.eswa.2017.11.037.
Lin, H., Y. Sui, H. Ma, L. Wang, and S. Zeng. 2018. “CEO narcissism, public concern, and megaproject social responsibility: Moderated mediating examination.” J. Manage. Eng. 34 (4): 04018018. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000629.
Mimno, D., H. M. Wallach, E. Talley, M. Leenders, and A. Mccallum. 2011. “Optimizing semantic coherence in topic models.” In Proc., Conf. on Empirical Methods in Natural Language Processing, 262–272. Stroudsburg, PA: Association for Computational Linguistics.
Mok, K. Y., G. Q. Shen, and J. Yang. 2015. “Stakeholder management studies in mega construction projects: A review and future directions.” Int. J. Project Manage. 33 (2): 446–457. https://doi.org/10.1016/j.ijproman.2014.08.007.
Newman, J., M. Barnes, H. Sullivan, and A. Knops. 2004. “Public participation and collaborative governance.” J. Soc. Policy 33 (2): 203–223. https://doi.org/10.1017/S0047279403007499.
Norton, P., and M. Hughes. 2017. Public consultation and community involvement in planning: A twenty-first century guide. England, UK: Routledge.
Rogers, A., O. Kovaleva, and A. Rumshisky. 2020. “A primer in Bertology: What we know about how Bert works.” Preprint, submitted February 27, 2020. http://arxiv.org/abs/2002.12327.
Rowe, G., and L. J. Frewer. 2005. “A typology of public engagement mechanisms.” Sci. Technol. Hum. Values 30 (2): 251–290. https://doi.org/10.1177/0162243904271724.
Schuman, H., and J. Scott. 1987. “Problems in the use of survey questions to measure public opinion.” Science 236 (4804): 957–959. https://doi.org/10.1126/science.236.4804.957.
Shan, C. Y., and T. Yai. 2011. “Public involvement requirements for infrastructure planning in China.” Habitat Int. 35 (1): 158–166. https://doi.org/10.1016/j.habitatint.2010.06.004.
Tang, L., Y. Zhang, F. Dai, Y. Yoon, Y. Song, and R. S. Sharma. 2017. “Social media data analytics for the US construction industry: Preliminary study on Twitter.” J. Manage. Eng. 33 (6): 04017038. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000554.
Valentin, V., N. Naderpajouh, and D. Abraham. 2018. “Impact of characteristics of infrastructure projects on public opinion.” J. Manage. Eng. 34 (1): 04017051. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000576.
Vandeweerdt, C., B. Kerremans, and A. Cohn. 2016. “Climate voting in the US congress: The power of public concern.” Environ. Polit. 25 (2): 268–288. https://doi.org/10.1080/09644016.2016.1116651.
Wang, X. 2001. “Assessing public participation in US cities.” Public Perform. Manage. Rev. 2001 (Jun): 322–336. https://doi.org/10.2307/3381222.
Wang, X., and A. Mccallum. 2006. “Topics over time: A non-Markov continuous-time model of topical trends.” In Proc., 12th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 424–433. New York: Association for Computing Machinery.
Wang, Y., Q. Han, B. De Vries, and J. Zuo. 2016. “How the public reacts to social impacts in construction projects? A structural equation modeling study.” Int. J. Project Manage. 34 (8): 1433–1448. https://doi.org/10.1016/j.ijproman.2016.07.008.
Webler, T., and S. Tuler. 2006. “Four perspectives on public participation process in environmental assessment and decision making: Combined results from 10 case studies.” Policy Stud. J. 34 (4): 699–722. https://doi.org/10.1111/j.1541-0072.2006.00198.x.
Wu, L., G. Jia, and N. Mackhaphonh. 2019. “Case study on improving the effectiveness of public participation in public infrastructure megaprojects.” J. Constr. Eng. Manage. 145 (4): 05019003. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001623.
Xie, L., Y. Hu, B. Zhang, B. Xia, M. Skitmore, and X. Gao. 2019. “Accountability effects of public participation practice in Chinese public projects: Partial least-squares path analysis.” J. Manage. Eng. 35 (6): 05019008. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000716.
Xie, L. L., Y. Yang, Y. Hu, and A. P. Chan. 2014. “Understanding project stakeholders’ perceptions of public participation in China’s infrastructure and construction projects.” Eng. Constr. Archit. Manage. 2014 (Mar): 11. https://doi.org/10.1108/ECAM-12-2012-0115.
Xue, J., G. Q. Shen, Y. Li, J. Wang, J. Yu, and Y. Yang. 2020a. “Dynamic analysis on public concerns in Hong Kong–Zhuhai–Macao bridge: A topic modeling approach.” Constr. Res. Congr. 2020 (Nov): 160–170. https://doi.org/10.1061/9780784482889.018.
Xue, J., G. Q. Shen, Y. Li, J. Wang, and I. Zafar. 2020b. “Dynamic stakeholder-associated topic modeling on public concerns in megainfrastructure projects: Case of Hong Kong–Zhuhai–Macao bridge.” J. Manage. Eng. 36 (6): 04020078. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000845.
Xue, J., G. Q. Shen, R. J. Yang, I. Zafar, and E. Ekanayake. 2020c. “Dynamic network analysis of stakeholder conflicts in megaprojects: Sixteen-year case of Hong Kong–Zhuhai–Macao bridge.” J. Constr. Eng. Manage. 146 (9): 04020103. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001895.
Yao, L., Y. Zhang, B. Wei, L. Li, F. Wu, P. Zhang, and Y. Bian. 2016. “Concept over time: The combination of probabilistic topic model with Wikipedia knowledge.” Expert Syst. Appl. 60 (Oct): 27–38. https://doi.org/10.1016/j.eswa.2016.04.014.
Yu, J., and M.-Y. Leung. 2018. “Structural stakeholder model in public engagement for construction development projects.” J. Constr. Eng. Manage. 144 (6): 04018046. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001462.
Zafar, I., G. Q. Shen, H. Zahoor, J. Xue, and E. Ekanayake. 2019. “Dynamic stakeholder salience mapping framework for highway route alignment decisions: China Pakistan economic corridor as a case study.” Can. J. Civ. Eng. 47 (11): 1297–1309. https://doi.org/10.1139/cjce-2019-0308.
Zhao, P., L. Hou, and O. Wu. 2020. “Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification.” Knowl.-Based Syst. 193 (Apr): 105443. https://doi.org/10.1016/j.knosys.2019.105443.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 147 • Issue 6 • June 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Sep 15, 2020
Accepted: Jan 7, 2021
Published online: Apr 15, 2021
Published in print: Jun 1, 2021
Discussion open until: Sep 15, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.