Gathering Public Opinion about an Architectural Project: A Text Mining Approach

Yıl 2022, Cilt: 19 Sayı: 47, 506 - 515, 31.05.2022

Şeyda Emekci

https://doi.org/10.26466/opusjsr.1122785

Öz

Public opinion is growing in importance due to the widespread use of social media and the fact that people freely express their opinions on any subject on social media. It is important to include the public in the built environment because it may provide valuable feedback and enable people to share their skills, contribute to the creation of a solution and a choice, and raise awareness of the value of their neighborhood. The article aims to propose a framework for evaluating how an architectural project is perceived by the general public via the use of a machine learning model. The Tulip Tower in London has been selected as a case study to demonstrate how this framework can be applied in practice. Tweets about the Tulip Tower in London from 2018 to 2021 were collected and then have been reviewed and scored. According to the findings, this approach enables the project's current public opinion to be tracked, public concerns to be identified and addressed in real-time in the early design stage, and the project to be re-evaluated in light of the data collected.

Anahtar Kelimeler

Public Opinion, Text Mining, Architectural Design

Kaynakça

• Bakri, A. F., Ibrahim, N., Ahmad, S. S., & Zaman, N. Q. (2015). Public Perception on the Cultural Significance of Heritage Buildings in Kuala Lumpur. ASLI QoL2014 (Annual Serial Landmark International Conference on Quality of Life) / AQoL 2014 Istanbul (ABRA International Conference on Quality of Life), Istanbul Technical University, Istanbul, Turkey, 26 - 28 December 2014, 202, 294–302. https://doi.org/10.1016/j.sbspro.2015.08.233
• Bates-Brkljac, N. (2013). Differences and similarities in perceptions of architectural representations: expert and non-expert observers. Journal of Architectural and Planning Research, 30(2), 91–107.
• Bianco, L. (2016). In defence of baroque: The wölfflin-frankl-giedion tradition. The Journal of Baroque Studies, 1(4), 5–20.
• Celiker, A., & Cavusoglu, B. (2005). Requestioning architectural design regarding the role of far-eastern philosophies on human-well-being. In Proceedings of the 5th International Postgraduate Research Conference in the Built Environment (p.305–311). Manchester: University of Salford.
• Chen, K., & Tomblin, D. (2021). Using data from reddit, public deliberation, and surveys to measure public opinion about autonomous vehicles. Public Opinion Quarterly, 85(S1), 289–322. https://doi.org/10.1093/poq/nfab021
• Coeterier, J. F. (2002). Lay people’s evaluation of historic sites. Landscape and Urban Planning, 59(2), 111–123. https://doi.org/10.1016/S0169-2046(02)00007-5
• Creswell, P. (2005). What is architecture? Retrieved December 21, 2021, from http://rebirthofreason.com/Articles/Cresswell/What_Is_Architecture.shtml
• Cross, N. (2003). Expertise in design : Design thinking research symposium. ( e Edmonds, Ed.). Sydney: UTS Printing.
• English Heritage. (2008). Conservation Principles, Policies and Guidance for the Sustainable Management of the Historic Environment. London: English Heritage.
• Evans, R. (1997). Translation from drawing to building. London: Architectural Association. London: Architectural Association.
• Fiorino, D. J. (1990). Citizen Participation and Environmental Risk: A Survey of Institutional Mechanisms. Science, Technology, & Human Values, 15(2), 226–243.
• Fishkin, J. S. (1992). Democracy and Deliberation: New Directions for Democratic Reform. The Journal of Politics, 55, 547. https://doi.org/10.2307/2132298
• Fraser, I., & Henmi, R. (1994). Envisioning architecture: An analysis of drawing. New York: Van Nostrand Reinhold.
• Groves, R. M. (2011). Three eras of survey research. Public Opinion Quarterly, 75(5), 861–871. https://doi.org/10.1093/poq/nfr057
• Hägen, M. (1986). Varieties of realism. New York: Cambridge University Press.
• Howarth, J., Currie, M. A., Morrell, E., Sorensen, J., & Bengle, T. (2017). Challenges of building community-university partnerships in new poverty landscapes. Community Development, 48(1), 48–66. https://doi.org/10.1080/15575330.2016.1244696
• Japec, L., Kreuter, F., Berg, M., Biemer, P., Decker, P., Lampe, C., … Usher, A. (2015). Big Data in Survey Research: AAPOR Task Force Report. Public Opinion Quarterly, 79(4), 839–880. https://doi.org/10.1093/poq/nfv039
• Kensing, F., & Greenbaum, J. (2013). Heritage: having a say. In J. Simonsen & T. Robertson, international handbook of participatory design (p.21–36). Routledge.
• Klašnja, M., Barberá, P., Beauchamp, N., Nagler, J., & Tucker, J. (2015). Measuring public opinion with social media data. In The Oxford Handbook of Polling and Polling Methods (p.555–582). https://doi.org/10.1093/oxfordhb/9780190213299.013.3
• Liu, B. (2015). Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139084789
• Moomaw, S. M. (2016). Improving local results: Fusing community design and community development. Community Development, 47(5), 670–682. https://doi.org/10.1080/15575330.2016.1228688
• Mullins, M. (2006). Interpretation of simulations in interactive vr environments: depth perception in cave and panorama. Journal of Architectural and Planning Research, 23(4), 328–340.
• Newport, F. (2011). Presidential Adress: Taking Aapor’s Mission to Heart. The Public Opinion Quarterly, 75(3), 593–604.
• Perrin, R., & Atske, S. (2021). 7% of Americans don’t use the internet. Who are they? Retrieved December 21, 2021, from https://www.pewresearch.org/fact-tank/2021/04/02/7-of-americans-dont-use-the-internet-who-are-they/
• Powell, M., Colin, M., Lee Kleinman, D., Delborne, J., & Anderson, A. (2011). Imagining ordinary citizens? Conceptualized and actual participants for deliberations on emerging technologies. Science as Culture, 20(1), 37–70. https://doi.org/10.1080/09505430903567741
• Robertson, T., & Simonsen, J. (2012). Challenges and Opportunities in Contemporary Participatory Design. Design Issues, 28(3), 3–9. https://doi.org/10.1162/DESI_a_00157
• Sanders, E. B.-N., & Stappers, P. J. (2008). Co-creation and the new landscapes of design. CoDesign, 4(1), 5–18. https://doi.org/10.1080/15710880701875068
• Sanoff, H. (2000). Community Participation Methods in Design and Planning. New York, NY: John Wiley & Sons Inc.
• Sarewitz, D. R. (2015). CRISPR: Science can’t solve it. Nature, 522, 413–414.
• Shah, D. V., Cappella, J. N., & Neuman, W. R. (2015). Big Data, Digital Media, and Computational Social Science: Possibilities and Perils. The ANNALS of the American Academy of Political and Social Science, 659(1), 6–13. https://doi.org/10.1177/0002716215572084
• Stroud, N. J., & McGregor, S. C. (2018). Digital Discussions: How Big Data Informs Political Communication. New York, NY, US: Routledge.
• Talib, R., Kashif, M., Ayesha, S., & Fatima, F. (2016). Text Mining: Techniques, Applications and Issues. International Journal of Advanced Computer Science and Applications, 7(11), 414-411. https://doi.org/10.14569/IJACSA.2016.071153
• Tandel, S. S., Jamadar, A., & Dudugu, S. (2019). A Survey on Text Mining Techniques. In 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS) (p.1022–1026). https://doi.org/10.1109/ICACCS.2019.8728547
• Watts, J., & Hirst, M. (1982). User participation in the early stages of building design. Design Studies, 3(1), 11–18. https://doi.org/10.1016/0142-694X(82)90074-6
• Wyatt, R. (2004). The great divide: differences in design style between architects and urban planners. Journal of Architectural and Planning Research, 21, 38–54.