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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 | ||
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آمار تعداد مشاهده مقاله: 74 تعداد دریافت فایل اصل مقاله: 127 |
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