فراتحلیل؛ نقش شهر الگوریتمی در توسعه پایدار و هوشمند شهری
محورهای موضوعی : شهرسازینرگس نونژاد 1 * , مرتضی نجفی 2
1 - گروه شهرسازی، واحد تهران شمال، دانشگاه آزاد اسلامی، تهران، ایران.
2 - دانشجوری دکتری شهرسازی
کلید واژه: شهر الگوریتمی, توسعه هوشمند, توسعه پایدار, پروتکل PRISMA, هوش مصنوعی,
چکیده مقاله :
شهر الگوریتمی بهعنوان یک رویکرد نوین در مدیریت شهری، بهکارگیری فناوریهای پیشرفته و دادههای کلان را برای بهبود کیفیت زندگی شهروندان و ارتقای کارایی سیستمهای شهری معرفی میکند. با رشد سریع جمعیت شهری و چالشهای متعددی نظیر آلودگی، ترافیک و کمبود منابع، نیاز به توسعه شهری هوشمند و پایدار بیشازپیش احساس میشود. این تحقیق به بررسی مفهوم شهر الگوریتمی و نقش آن در تحقق اهداف توسعه هوشمند و پایدار میپردازد و تلاش میکند تا چارچوبی نظری و عملی برای پیادهسازی این رویکرد ارائه دهد. پژوهش پیشرو از نوع مرور سیستماتیک با رویکرد فراتحلیل و بر اساس اسناد مطالعاتی و مقالات در 3 سال اخیر با محوریت الگوریتم و برنامهریزی الگوریتمی است. در این راستا با استفاده از فراتحلیل و روش مرور نظاممند مبتنی بر الگوی PRISMA وضعیت نظریههای شهر الگوریتمی و هوشمند موردبررسی قرار میگیرد. در جستجوی اولیه مقالات با محوریت شهر الگوریتمی و هوشمند از سال 2020 الی 2024 مدنظر قرار گرفت که تعداد 48 مقاله برای ورود به فراتحلیل در نرمافزار سی ام ای انتخاب شدند. نتایج پژوهش نشان داد که شهرسازی الگوریتمی در بستر هوش مصنوعی چگونه میتواند به رشد و توسعه شهری کمک کند. همچنین نتایج پژوهش نشان داد که شهر الگوریتمی بهواسطه ساختار کمی میتواند سبب بهینگی در حوزه انرژی و حملونقل شود. اما لازمه استفاده از شهر الگوریتمی توجه به کلان دادهها و تحلیل کلان دادهها میباشد.
The algorithmic city, as an innovative approach to urban management, introduces the use of advanced technologies and big data to improve the quality of life for citizens and enhance the efficiency of urban systems. With the rapid growth of urban populations and various challenges such as pollution, traffic, and resource scarcity, the need for smart and sustainable urban development is increasingly felt. This research examines the concept of the algorithmic city and its role in achieving smart and sustainable development goals, aiming to provide a theoretical and practical framework for implementing this approach. The pioneering research is a systematic review with a meta-analytic approach based on study documents and articles from the last three years, focusing on algorithms and algorithmic planning. In this regard, using meta-analysis and a systematic review method based on the PRISMA model, the theoretical status of algorithmic and smart cities is examined. In the initial search, articles focusing on the algorithmic and smart city from 2020 to 2024 were considered, resulting in 48 articles selected for inclusion in the meta-analysis using the CMA software. The results of the research indicate how algorithmic urbanism can contribute to urban growth and development within the framework of artificial intelligence. Additionally, the findings show that the algorithmic city, through its quantitative structure, can lead to optimization in the fields of energy and transportation. However, the use of the algorithmic city necessitates attention to big data and big data analysis.
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