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AI and the Urban Planner: A Comparative SWOT Analysis of Western and Eastern Urban Planning Practice
Subject area: Science,Engineering and Technology · Area of research: Urban Planning
DOI: 10.64388/IREV9I10-1716458
Abstract
Rapid advancements in technology provide new functionality to challenge existing paradigms in many industries. AI and urban planning is one such example. This paper uses SWOT analyses to assess AI's challenges and opportunities across ten selected countries. The examination is divided into a Western context (the United States, the United Kingdom, Canada, Australia, and Spain) and an Eastern context (the United Arab Emirates, China, the Philippines, Japan, and Singapore). The author utilized peer-reviewed publications from 2021 to 2025 in data gathering. Applications of AI technologies such as digital twins, generative AI, and geospatial analytics are applied to transport, land use planning, participatory planning, and environmental planning across the cited countries. The author analyzed AI use problems in planning through the ethical perspectives of planning associations' national codes of conduct and planning associations' codes of AI ethics. This examination of planning codes and AI in urban planning is arguably the first paper to question how these codes deal with the control of algorithms and the professional responsibilities of planners. A unique feature of this paper encompasses the environmental, carbon, and water footprint that data centers — which AI relies upon — create. This paper suggests that the identified gaps in technology, planning ethics, environmental governance, social governance frameworks, AI planning, technology, AI ethics codes, and the control of algorithms provide a foundation for planning to address the deficit in planning research, planning ethics, and the existing gaps in AI ethics governance frameworks.
Keywords
Artificial Intelligence, Urban Planning, SWOT Analysis, Smart Cities, Planning Ethics, Data Centers, Comparative Analysis, Eastern and Western Planning, Professional Conduct Codes
References
[1] American Institute of Certified Planners (AICP). (2022). AICP Code of Ethics and Professional Conduct (adopted November 2021, effective January 2022). American Planning Association. https://www.planning.org/ethics/ethicscode/
[2] American Planning Association (APA). (2024). Planning ethics and generative AI. APA Blog. https://www.planning.org/blog/9295637/planning-ethics-and-generative-ai/
[3] Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2023). Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review. Environmental Science & Ecotechnology, 19, 100330. https://doi.org/10.1016/j.ese.2023.100330
[4] Canadian Institute of Planners (CIP). (2016). CIP Code of Professional Conduct. Canadian Institute of Planners. https://www.cip-icu.ca/membership/professional-codes-of-conduct-ethics/
[5] de Vries-Gao, A. (2026). The carbon and water footprints of data centers and what this could mean for artificial intelligence. Patterns, 7(1), Article 101430. https://doi.org/10.1016/j.patter.2025.101430
[6] Cugurullo, F., Caprotti, F., Cook, M., Karvonen, A., McGuirk, P., & Marvin, S. (2024). The rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence. Urban Studies, 61(6), 1168–1182. https://doi.org/10.1177/00420980231203386
[7] Emirates Planning Association (EPA). (2020). Who we are: EPA mandate and professional ethics. Emirates Planning Association. https://planning.ae/en/who-we-are.htm
[8] European Council of Spatial Planners (ECTP-CEU). (1995). Founding Charter and Professional Code of Ethics (Annex C). ECTP-CEU. https://ectp-ceu.eu/about-us/founding-charter/
[9] Mondal, S., Faruk, F. B., Rajbongshi, D., Efaz, M. M. K., & Islam, M. M. (2023). GEECO: Green data centers for energy optimization and carbon footprint reduction. Sustainability, 15(21), 15249. https://doi.org/10.3390/su152115249
[10] Gbenga, O., Fashola, O., & Ayeni, F. (2025). The AI-driven energy surge: A comprehensive review of sustainable power solutions for data centers. Global Journal of Engineering and Technology Advances, 24(3). https://doi.org/10.30574/gjeta.2025.24.3.0279
[11] Guidi, G., Dominici, F., & Gilmour, J. (2024). Environmental burden of United States data centers in the artificial intelligence era. arXiv preprint. https://arxiv.org/abs/2411.09786
[12] He, W., & Chen, M. (2024). Advancing urban life: A systematic review of emerging technologies and artificial intelligence in urban design and planning. Buildings, 14(3), 835. https://doi.org/10.3390/buildings14030835
[13] Isazadeh, A., Ziviani, D., & Claridge, D. E. (2023). Global trends, performance metrics, and energy reduction measures in datacom facilities. Renewable and Sustainable Energy Reviews, 174, 113149. https://doi.org/10.1016/j.rser.2023.113149
[14] Kamrowska-Załuska, D. (2021). Impact of AI-based tools and urban big data analytics on the design and planning of cities. Land, 10(11), 1209. https://doi.org/10.3390/land10111209
[15] Peng, Z.-R., Lu, K.-F., Liu, Y., & Zhai, W. (2024). The pathway of urban planning AI: From planning support to plan-making. Journal of Planning Education and Research, 44(4), 2263–2279. https://doi.org/10.1177/0739456X231180568
[16] Planning Institute of Australia (PIA). (2023). Code of Professional Conduct (v5.1, November 2023). Planning Institute of Australia. https://www.planning.org.au/common/Uploaded%20files/PIA/About/code-of-professional-conduct.pdf
[17] Republic Act No. 10587 — Environmental Planning Act of 2013 (Code of Ethics provisions). Official Gazette of the Republic of the Philippines. https://mirror.officialgazette.gov.ph/2013/05/27/republic-act-no-10587/
[18] Royal Town Planning Institute (RTPI). (2023). Code of Professional Conduct (effective 1 February 2023). Royal Town Planning Institute. https://www.rtpi.org.uk/membership/professional-standards/code-of-professional-conduct/
[19] Sameer, M., Alwali, J., & Mukherjee, A. (2025). Integrating artificial intelligence into smart infrastructure management for sustainable urban planning. Technologies, 13(11), 481. https://doi.org/10.3390/technologies13110481
[20] Sanchez, T. W., Shumway, H., Gordner, T., & Lim, T. C. (2022). The prospects of artificial intelligence in urban planning. International Journal of Urban Sciences, 27(2), 179–194. https://doi.org/10.1080/12265934.2022.2102538
[21] Sanchez, T. W., Brenman, M., & Ye, X. (2024). The ethical concerns of artificial intelligence in urban planning. Journal of the American Planning Association, 91(2), 1–14. https://doi.org/10.1080/01944363.2024.2355305
[22] Schintler, L. A., & McNeely, C. L. (2022). Artificial intelligence, institutions, and resilience: Prospects and provocations for cities. Journal of Urban Management, 11(2), 256–268. https://doi.org/10.1016/j.jum.2022.05.004
[23] Singapore Institute of Planners (SIP). (n.d.). Code of Ethics — Singapore Institute of Certified Planners (SICP). Singapore Institute of Planners. https://planning.org.sg/web/ab_ethic.html
[24] Son, T. H., Weedon, Z., Yigitcanlar, T., Sanchez, T. W., Corchado, J. M., & Mehmood, R. (2023). Algorithmic urban planning for smart and sustainable development: Systematic review of the literature. Sustainable Cities and Society, 94, 104562. https://doi.org/10.1016/j.scs.2023.104562
[25] UP Center for Integrative and Development Studies. (2025). An analysis of smart city development frameworks in the Philippines. Philippine Journal of Public Policy. https://cids.up.edu.ph
[26] Urban Planning Society of China (UPSC). (n.d.). Articles of Association of the Urban Planning Society of China. UPSC. https://en.planning.org.cn/upsc/view?id=11
[27] Wheatley, M. C. (2024). The rise of smart cities: Technology's role in urban planning. Premier Journal of Data Science, 1, 100002. https://doi.org/10.1016/j.pjds.2024.100002
[28] Si, S., Yao, Y., & Wu, J. (2025). Artificial intelligence in urban planning: A bibliometric analysis and hotspot prediction. Land, 14(11), 2100. https://doi.org/10.3390/land14112100
[29] Bibri, S. E., Huang, J., Jagatheesaperumal, S. K., & Krogstie, J. (2024). The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review. Environmental Science and Ecotechnology, 20, 100433. https://doi.org/10.1016/j.ese.2024.100433
How to cite this paper
@article{1716458,
author = {Dr/EnP Eugenio Ferrer Santiago III},
title = {AI and the Urban Planner: A Comparative SWOT Analysis of Western and Eastern Urban Planning Practice},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1908-1922},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716458.pdf},
abstract = {Rapid advancements in technology provide new functionality to challenge existing paradigms in many industries. AI and urban planning is one such example. This paper uses SWOT analyses to assess AI's challenges and opportunities across ten selected countries. The examination is divided into a Western context (the United States, the United Kingdom, Canada, Australia, and Spain) and an Eastern context (the United Arab Emirates, China, the Philippines, Japan, and Singapore). The author utilized peer-reviewed publications from 2021 to 2025 in data gathering. Applications of AI technologies such as digital twins, generative AI, and geospatial analytics are applied to transport, land use planning, participatory planning, and environmental planning across the cited countries. The author analyzed AI use problems in planning through the ethical perspectives of planning associations' national codes of conduct and planning associations' codes of AI ethics. This examination of planning codes and AI in urban planning is arguably the first paper to question how these codes deal with the control of algorithms and the professional responsibilities of planners. A unique feature of this paper encompasses the environmental, carbon, and water footprint that data centers — which AI relies upon — create. This paper suggests that the identified gaps in technology, planning ethics, environmental governance, social governance frameworks, AI planning, technology, AI ethics codes, and the control of algorithms provide a foundation for planning to address the deficit in planning research, planning ethics, and the existing gaps in AI ethics governance frameworks.},
keywords = {Artificial Intelligence, Urban Planning, SWOT Analysis, Smart Cities, Planning Ethics, Data Centers, Comparative Analysis, Eastern and Western Planning, Professional Conduct Codes},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716458}
}