Popularization of Science

Popularization of Science

Evaluating the Impact of Artificial Intelligence on the Sustainability of Tabriz City

Author
Postdoctoral student of Urban Design, Faculty of Architecture and Urban Planning, Tarbiat Dabir Shahid Rajaei, University, Tehran, Iran.
Abstract
Introduction: In recent years, the city of Tabriz has faced numerous challenges in areas such as traffic management, high energy consumption, water shortages, and a reduction in green spaces. These issues have contributed to increased environmental pollution and a decline in the quality of life for its citizens. Among the proposed solutions to these urban problems is the application of artificial intelligence (AI) to address urban issues. The purpose of this study is to evaluate the impact of AI on urban sustainability and examine how smart technologies can enhance urban infrastructure.
Method: The research method is descriptive-analytical and survey-based. The data collection tool was a questionnaire using a 5-point Likert scale, which was distributed among urban managers, experts, and specialist professors in Tabriz. Using Cochran's formula with an unlimited population, the sample size was determined to be 384, and purposeful sampling was employed. For data analysis, structural equation modeling (SEM) was used, utilizing SmartPLS and SPSS software.
Findings: The results show that AI has a significant impact on traffic management (β = 0.62), energy consumption optimization (β = 0.58), water resource management (β = 0.53), and green space design (β = 0.67). These findings indicate the high potential of AI in improving urban infrastructure performance and reducing negative environmental impacts.
Conclusion: The results of this research suggest that the use of AI can play a key role in enhancing the sustainability of Tabriz city. By reducing resource consumption and improving the quality of urban services, AI can contribute to the creation of smarter, more sustainable cities.
Keywords
Subjects

انوشه­یی، علیرضا؛ رضایی، علی اکبر. (1402). ارزیابی نقش ابزارهای هوش مصنوعی در توسعه مدیریت شهری. رویکردهای پژوهشی نوین مدیریت و حسابداری، 7(24)، 1623-1632.
حسینی، سیده زهرا؛ رؤفی، روژین؛ زرآبادی پور، زهرا؛ مقدم، سمانه. (1403). تبیین نقش هوش مصنوعی در برنامه‌ریزی شهری و توسعه شهرها. صفه، 34(2)، 78-96.
زینالی عظیم، علی. (1403). تحولات جدید در شهرهای هوشمند جهان. نشاء علم، 14(2)، 93-99.
زینالی عظیم، علی. (1403). تحولات جدید در روابط شهرهای جهان: با فناوری شهرهای هوشمند. دو فصلنامه توسعه علوم انسانی، 5(10)، 29-49.
زینالی عظیم، علی؛ بابازاده اسکوئی، سولماز. (1401). تحلیلی بر ایجاد شهر هوشمند قابل زندگی در شهر تبریز. اقتصاد و برنامه‌ریزی شهری، 3(4)، 24-37.
زینالی عظیم، علی؛ فدائی حقی، مهری؛ علیزاده، امین؛ جدیری عباسی، محمد؛ فتحی پور، رضا؛ شریفی، محمدعلی. (1403). سنجش عوامل مؤثر در عدم توسعه شهر هوشمند پایدار تبریز. فصلنامه علوم محیطی، 22(3)، 427-446.
زینالی عظیم، علی. (1401). ارزیابی پایداری شهری و محیطی از طریق رشد هوشمند شهری نمونه موردی: شهر جلفا. جغرافیا و پایداری محیط، 12(1)، 19-39.
زینالی عظیم، علی؛ جدیری عباسی، محمد؛ هنرجو، میترا؛ فتحی پور، رضا؛ علیزاده، امین؛ قلی پور، نازنین. (1403). عوامل مؤثر بر ایمنی فضاهای عمومی شهر تبریز. پژوهش‌های مدیریت انتظامی، 19(3)، 243-274
زینالی عظیم، علی؛ پویافر، حامد؛ امین نیری، بهناز؛ پایدار خیابانی، داود؛ مصطفی‌زاده بازرگان، آیدا. (1403). پیش‌بینی مصرف انرژی برای ساختمان‌های مسکونی براساس رفتار ساکنانش با استفاده از روش شبکۀ عصبی هوش مصنوعی در شهر تبریز. فصلنامه سیستم‌های انرژی پایدار، 4(1)، 1-26.
صابری فر، رستم. (1402). مقایسه کاربرد هوش مصنوعی با روش های سنتی در تعیین سرزندگی فضاهای شهری در ایران (نمونه مورد مطالعه، شهر مشهد). دانش شهرسازی، 7(2)، 33-50.
عنابستانی، علی‌اکبر؛ توکلی‌نیا، جمیله؛ نیکنامی، نسیم. (1403). تبیین اثرگذاری هوش مصنوعی بر بهبود کیفیت زندگی شهروندان با رویکرد آینده‌پژوهی (مورد مطالعه: کلان‌شهر مشهد). اقتصاد و برنامه‌ریزی شهری، 5(1)، 6-21.
گراوند، عذرا. (1400). جایگاه هوش مصنوعی و تأثیر آن در فضاهای شهری، پژوهش‌های کاربردی در فنی و مهندسی، 25، 51-65.
 
Batty, M. (2018). Artificial intelligence and smart cities. Environment and Planning B: Urban Analytics and City Science, 45(1), 3-6. https://doi.org/10.1177/2399808317751169
Batty, M. (2023). The emergence and evolution of urban AI. AI & Society, 38(3), 1045–1048. https://doi.org/10.1007/s00146-022-01528-6.
Bello, A. O., Okanlawon, T. T., Wuni, I. Y., Arogundade, S., & Oyewobi, L. O. (2024). Exploring the nexus between the barriers and drivers for sustainable smart cities in developing countries: The case of Nigeria. Sustainable Development, 32(4), 4097–4113. https://doi.org/10.1002/sd.2861
Bibri SE, Huang J, Jagatheesaperumal SK, Krogstie J. (2024), The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review. Environ Sci Ecotechnol, 17(20):100433. https://doi.org/10.1016/j.ese.2024.100433.
Brevini, B. (2023). Artificial intelligence, artificial solutions: Placing the climate emergency at the center of AI developments. In H. Skaug Sætra (Ed.), Technology and Sustainable Development: The Promise and pitfalls of Techno-Solutionism (pp. 23–34). Routledge.
Cai, W., Wang, C., Chen, J., & Zhang, Y. (2021). The role of artificial intelligence in achieving sustainable urban development. Environmental Research Letters, 16(11), 114028. https://doi.org/10.1088/1748-9326/ac30f1.
Chishti, M. Z., Xia, X., & Dogan, E. (2024). Understanding the effects of artificial intelligence on energy transition: The moderating role of Paris Agreement. Energy Economics, 131, 107388. https://doi.org/10.1016/j.eneco.2024.107388.
 
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
Chatti, W., & Khan, Z. (2024). Towards smart sustainable cities: Does technological innovation mitigate G7 CO₂ emissions? Fresh evidence from CS-ARDL. Science of The Total Environment, 913, 169723. https://doi.org/10.1016/j.scitotenv.2023.169723
Elmqvist, T., Setälä, H., Handel, S. N., van der Ploeg, S., Aronson, J., Blignaut, J. N., & Kronenberg, J. (2019). Benefits of restoring ecosystem services in urban areas. Current Opinion in Environmental Sustainability, 31, 45-51. https://doi.org/10.1016/j.cosust.2017.12.005.
Glaeser, E. L., & Cutler, D. M. (2021). Survival of the City: Living and Thriving in an Age of Isolation. Penguin Press.
He, W.; Chen, M. (2024), Advancing Urban Life: A Systematic Review of Emerging Technologies and Artificial Intelligence in Urban Design and Planning. Buildings 2024, 14, 835. https://doi.org/10.3390/ buildings14030835.
Iapaolo, F. (2022). Urban AI: Understanding the Role of Artificial Intelligence in Smart Cities.
AI & Society, 37(4), 1042-1058.
https://doi.org/10.1007/s00146-021-01171-2.
Luusua, A., Ylipulli, J., Foth, M. et al. (2023), Urban AI: understanding the emerging role of artificial intelligence in smart cities. AI & Soc 38, 1039–1044. https://doi.org/10.1007/s00146-022-01537-5.
McCarroll, C. & Cugurullo, F. (2022). No city on the horizon: Autonomous cars, artificial intelligence, and the absence of urbanism. Frontiers in Sustainable Cities, 4, 184. https://doi.org/10.3389/frsc.2022.937933.
Năstasă A, Dumitra TC, Grigorescu A. (2024), Artificial intelligence and sustainable development during the pandemic: An overview of the scientific debates. Heliyon. 26; 10(9): e30412. https://doi.org/10.1016%2Fj.heliyon.2024.e30412.
Palmini, O., Cugurullo, F. (2024), Design culture for Sustainable urban artificial intelligence: Bruno Latour and the search for a different AI urbanism. Ethics Inf Technol 26, 11 (2024). https://doi.org/10.1007/s10676-024-09752-y.
Phillips, C, Jiao, J & Clubb, E, (2024), Testing the Capability of AI Art Tools for Urban Design" in IEEE Computer Graphics and Applications, 44(02), 37-45,
https://doi.ieeecomputersociety.org/10.1109/MCG.2024.3356169.
Pout, C., Macdonald, S., & Charlesworth, A. (2020). Sustainable energy systems in smart cities: How artificial intelligence can improve energy efficiency. Energy Policy Journal, 38(6), 254-262. https://doi.org/10.1016/j.enpol.2019.10.013.
Ravish, R. & Swamy, S. (2021). Intelligent Traffic Management: A Review of Challenges, Solutions, and Future Perspectives. Transport and Telecommunication Journal, 22(2) 163-182. https://doi.org/10.2478/ttj-2021-0013
Sherman, S. (2024). The Polyopticon: A Diagram for Urban Artificial Intelligences.
AI & Society, 39(2), 145-161.
https://doi.org/10.1007/s00146-022-01501-3.
Siddique, I. M. (2022). Sustainable water management in urban environments. Chemistry Research Journal, 7(4), 95–101. Retrieved from http://www.chemrj.org
Son, T HWeedon, ZYigitcanlar, T, Sanchez, T, Corchado R, J & Mehmood, R (2023) Algorithmic Urban Planning for Smart and Sustainable Development: Systematic Review of the Literature. Sustainable Cities and Society94, 104562.
Thompson, E. M., Lees, M. H., & Chantler, P. (2019). Machine learning approaches in urban planning: A review. Journal of Urban Technology, 26(3), 57-72. https://doi.org/10.1080/10630732.2019.1595074.
Tugui, A. (2023). A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development.
Big Data and Cognitive Computing, 7(1), 3.
https://doi.org/10.3390/bdcc7010003.
Leal, W., Mbah, M. F., Dinis, M. A. P., Trevisan, L. V., de Lange, D., Mishra, A., Rebelatto, B., Ben Hassen, T., & Aina, Y. A. (2024). The role of artificial intelligence in the implementation of the UN Sustainable Development Goal 11: Fostering sustainable cities and communities. Cities, 150, 105021. https://doi.org/10.1016/j.cities.2024.105021
van Wynsberghe A. (2023), Sustainable AI: AI for sustainability and the sustainability of AI. Ethics; 1 :213-218. doi: 10.1007/s43681-021-00043-6. Springer.
Zhang, F., Salazar-Miranda, A., Duarte, F., Vale, L., Hack, G., Chen, M. Ratti, C. (2024). Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery. Annals of the American Association of Geographers, 114(5), 876–897. https://doi.org/10.1080/24694452.2024.2313515.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11, Article 233. https://doi.org/10.1038/s41467-019-14108-y.
Wu, Y., Luo, Y., Fu, Z., & Zhang, S. (2024). The influence of smart green spaces on environmental awareness, social cohesion, and life satisfaction in high-rise residential communities. Buildings, 14(9), 2917. https://doi.org/10.3390/buildings14092917
Complexity. (2024). Retracted: Green Space Planning and Landscape Sustainable Design in Smart Cities considering Public Green Space Demands of Different Formats. Complexity. 2024. 10.1155/2024/9870726.
UN-Water. (2020). Rapport Mondial des Nations Unites sur la mise end Valeur des resources end eau 2020 Leao et les changesets clamatoes. Paris: UNESCO. ISBN 978-92-3-200197-9. https://digitallibrary.un.org/record/3892703?ln=en&v=pdf.
Al-Raeei, M. (2024). The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization. Sustainable Development, 33(1), 508–517. https://doi.org/10.1002/sd.3131