نوع مقاله : پژوهشی - کاربردی
نویسندگان
1 دانشیار جغرافیا و برنامه‌ریزی شهری، دانشگاه شهید چمران اهواز، اهواز، ایران
2 دانشجوی دکتری گروه جغرافیا و برنامه‌ریزی شهری، دانشکده ادبیات و علوم انسانی، دانشگاه شهید چمران اهواز، اهواز، ایران.
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
the current research was developed with the aim of artificial intelligence for urban autonomy. In terms of purpose, this research is applied and in terms of nature and method, it is among descriptive-analytical research. documentary and field methods have been used to collect data; Then based on the theoretical foundations and using the Delphi method, the indicators and variables affecting the autonomous city were extracted in the eight dimensions of governance, security, institutional, economic, decision support, environmental, technology and supervision. In the second stage, it was analyzed by using the mutual effects technique (structural analysis method), scoring and in the MICMAC software environment, and the driving and key factors of the autonomous city were selected according to the score of influence and direct and indirect influence. The results indicate that the autonomous city system is a stable system and the driving factors with impact, factors such as artificial intelligent delivery services, creation of digital platforms, digital services, connected public transportation and the creation of a large integrated national data center have the most impact. Direct and factors such as updating old systems, automating financial processes and detecting fraud, large integrated national data center, installing sensors, creating automation have the most indirect effect and are one of the main factors on the development of the autonomous city. The innovation of the present research lies in providing solutions that incorporate the use of artificial intelligence in managing cities, aiming to move them toward autonomy.
کلیدواژه‌ها [English]
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