پیوندهای مفید
آمار
| تعداد نشریات | 22 |
| تعداد شمارهها | 709 |
| تعداد مقالات | 10,208 |
| تعداد مشاهده مقاله | 71,653,173 |
| تعداد دریافت فایل اصل مقاله | 63,459,732 |
Application of artificial intelligence in urban planning and urban management | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 29 اردیبهشت 1405 اصل مقاله (722.71 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.34781.5200 | ||
| نویسندگان | ||
| Keihan Rashidi* 1؛ Kasra Rashidi2 | ||
| 1Department of Urban Planning, Faculty of Art and Architecture, Tarbiat Modares University, Tehran, Iran | ||
| 2Faculty of Computer Engineering, Isfahan University, Isfahan, Iran | ||
| تاریخ دریافت: 29 فروردین 1403، تاریخ بازنگری: 31 تیر 1403، تاریخ پذیرش: 01 مرداد 1403 | ||
| چکیده | ||
| The purpose of this research was to identify and elucidate the application of artificial intelligence in urban planning and management. To identify and analyze strengths, weaknesses, opportunities, and threats, the opinions of 25 managers, professors, and experts in urban planning and artificial intelligence were gathered using purposeful sampling. Research participants were selected based on criteria such as scientific publications in urban planning and artificial intelligence, a specialized doctorate in the field, and employment in urban management or municipalities. Semi-structured interviews were conducted to collect information on the opportunities, threats, strengths, and weaknesses of artificial intelligence in urban management and planning. Subsequently, weighting and ranking were performed using the Shannon entropy technique. After ranking, 18 opportunities, 13 threats, 15 strengths, and 14 weaknesses were identified. Employing the strategic planning quantitative matrix, indicators were scored and weighted. The total internal factor score was 2.469, and the total external factor score was 2.316, as depicted in the matrix. Tehaji's strategy was presented to formulate strategies for utilizing artificial intelligence in urban planning and management, resulting in an aggressive approach. | ||
| کلیدواژهها | ||
| artificial intelligence؛ urban planning؛ urban management؛ algorithm؛ strategy؛ SWOT | ||
| مراجع | ||
|
[1] Z. Allam and Z.A. Dhunny, On big data, artificial intelligence and smart cities, Cities 89 (2019), no. 4, 80-91.
[2] M. Arzani Birgani and O. Kohzadi Seyf Abad, Evaluative analysis Procedural challenges of urban management with a content analysis approach Granheim and Landmann (Case study: Metropolis Ahvaz), Urban Design Discourse: Rev. Contemp. Lit. Theor. 2 (2021), no. 2, 85-105.
[3] I. As, P. Basu, and P. Talwar, Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts, Elsevier, 2022.
[4] M. Ayini, Exploring the challenges of urban management in new Iranian cities based on structural equation modeling (SEM), Quart. J. Urban Reg. Dev. Plann. 4 (2019), no. 9, 115-146.
[5] M. Bafghizadeh, P. Soleimani Moghadam, and N. Jahanneva, Investigating and identifying the challenges and crises of urban management in Ahvaz metropolis, Geog. Human Rel. 4 (2021), no. 2, 415-432.
[6] S.A.A. Bokhari and S. Myeong, Artificial intelligence-based technological-oriented knowledge management, innovation, and e-service delivery in smart cities: Moderating role of e-governance, Appl. Sci. 12 (2022), no. 17, 1-20.
[7] F. Corea and F. Corea, AI knowledge map: How to classify AI technologies, in An Introduction to Data: Everything You Need to Know About AI, Big Data and Data Science, Springer, 2019.
[8] F. Cugurullo, Urban artificial intelligence: From automation to autonomy in the smart city, Front. Sustain. Cities 2 (2020), no. 38, 1-14.
[9] M. De Carlo, G. Ferilli, F. d'Angella, and M. Buscema, Artificial intelligence to design collaborative strategy: An application to urban destinations, J. Bus. Res. 129 (2021), no. 2, 936-948.
[10] Z. Engin, J. Van Dijk, T. Lan, P.A. Longley, P. Treleaven, M. Batty, and A. Penn, Data-driven urban management: Mapping the landscape, J. Urban Manag. 9 (2020), no. 2, 140-150.
[11] C.A. Freire, F.A. Ferreira, E.G. Carayannis, and J.J. Ferreira, Artificial intelligence and smart cities: A DEMATEL approach to adaptation challenges and initiatives, IEEE Trans. Engin. Manag. 70 (2021), no. 5, 1881-1899.
[12] Y. Gao, Design of urban innovation space system using artificial intelligence technology and internet of things, Heliyon 10 (2024), no. 3, 1-12.
[13] A. Haldorai, A. Ramu, S. Murugan, A. Haldorai, A. Ramu, and S. Murugan, Artificial intelligence and machine learning for future urban development, in Computing and Communication Systems in Urban Development: A Detailed Perspective, 2019, pp. 91-113.
[14] H. Herath and M. Mittal, Adoption of artificial intelligence in smart cities: A comprehensive review, Int. J. Inf. Manag. Data Insights 2 (2022), no. 1, 100076.
[15] S.J. Mikhaylov, M. Esteve, and A. Campion, Artificial intelligence for the public sector: Opportunities and challenges of cross-sector collaboration, Phil. Trans. Royal Soc. A: Math. Phys. Engin. Sci. 376 (2018), no. 2128, 1-21.
[16] R. Nishant, M. Kennedy, and J. Corbett, Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda, Int. J. Inf. Manag. 53 (2020), no. 2, 102104.
[17] A. Ortega-Fernández, R. Martín-Rojas, and V.J. García-Morales, Artificial intelligence in the urban environment: Smart cities as models for developing innovation and sustainability, Sustainability 12 (2020), no. 19, 7860.
[18] S.J. Quan, J. Park, A. Economou, and S. Lee, Artificial intelligence-aided design: Smart design for sustainable city development, Envir. Plann. B: Urban Anal. City Sci. 46 (2019), no. 8, 1581-1599.
[19] S. Rezaie Eshaghvandi and A. Fathi, Measuring and ranking the challenges facing urban management in Kermanshah City, J. Sustain. Urban Reg. Dev. Stud. 1 (2020), no. 1, 97-114.
[20] T.W. Sanchez, H. Shumway, T. Gordner, and T. Lim, The prospects of artificial intelligence in urban planning, Int. J. Urban Sci. 27 (2023), no. 2, 179-194.
[21] T.H. Son, Z. Weedon, T. Yigitcanlar, T. Sanchez, J.M. Corchado, and R. Mehmood, Algorithmic urban planning, Sustain. Cities Soc. 94 (2023), no. 1,
104562.[22] Z. Ullah, F. Al-Turjman, L. Mostarda, and R. Gagliardi, Applications of artificial intelligence and machine learning in smart cities, Comput. Commun. 154 (2020), no. 4, 313-323.
[23] A.N. Venkatesh, M. Naved, A.H. Fakih, P.R. Kshirsagar, and P. Vijayakumar, An approach for smart city applications using artificial intelligence, AIP Conf. Proc. 2393 (2022), no. 1.
[24] K. Wang, Y. Zhao, R.K. Gangadhari, and Z. Li, Analyzing the adoption challenges of the Internet of things (IoT) and artificial intelligence (AI) for smart cities in China, Sustainability 13 (2021), no. 19, 10983.
[25] T. Yigitcanlar, J.M. Corchado, R. Mehmood, R.Y.M. Li, K. Mossberger, and K. Desouza, Responsible urban innovation with local government artificial intelligence (AI): A conceptual framework and research agenda, J. Open Innov.: Technol. Market Complexity 7 (2021), no. 1, 1-16.
[26] T. Yigitcanlar, K.C. Desouza, L. Butler, and F. Roozkhosh, Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature, Energies 13 (2020), no. 6, 1473. | ||
|
آمار تعداد مشاهده مقاله: 33 تعداد دریافت فایل اصل مقاله: 76 |
||