Meta-analysis: The Role of the Algorithmic City in Sustainable and Smart City Development

Subject Areas : Urbanism

Narges Nonejad ¹ , morteza najafi ²

1 - Department of Urban Planning, North Tehran Branch, Islamic Azad University, Tehran, Iran.
2 - دانشجوری دکتری شهرسازی

Received: 2025-03-06 Accepted : 2025-05-21 Published : 2024-09-20

Keywords: Algorithmic City, Smart Development, Sustainable Development, PRISMA, Artificial Intelligence,

Abstract :

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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