A systematic review of the identification of intelligence technologies on the structure of cities

Technologies create significant evolution in cities by changing various aspects of life, including living, working, leisure time, transportation, production, trade, etc; it has made cities face high complexity and chaos from the past to the present. These changes are the most important topics for cities and technologies to make valuable innovations and prepare a beneficial context for people. The value of technologies is measured not by their complexity and subtlety but by how people use them and the benefits that come from this in people's lives in the present and future. Technological development has many positive and negative effects simultaneously, and we should consider both aspects. The history of city evolution shows that the important reason for failure is that planners did not prepare the necessary platforms for accepting technologies, and it made the city structure unbalanced and unstable in advance. However, with emerging intelligence technologies, cities can take a new approach to this phenomenon. By increasing cities' tendency to be intelligent, the use of different technologies like AI, Internet of Things, Machine learning, …. Has also been seen to increase. Therefore, planners and designers must be aware of its effects on the urban structure so that they can use intelligent technologies to deal with chaos and provide a stable environment. This research aims to examine changes in the urban structure based on developments in intelligence technology and to identify the most important dimension in the structure of future cities. According to the existing theoretical literature, an attempt has been made to answer how intelligence technologies affect each dimension of urban structure and which will be most changed. For this purpose,76 published documents were examined in a targeted manner between 2010 and 2025 using a systematic review of theoretical literature combined with the snowball method. By clustering the author's keywords, the VOS viewer illustrates an insight into the research areas. Three major clusters were shown from the mapping of co-occurrence keywords: (1) Smart and Sustainable Cities and digital Governance, (2 Data-Driven Technologies and Smart Urban Planning, and (3) Artificial intelligence in spatial planning. In examining the documents in terms of content, the results show that changes in the intangible dimensions of the structure, with an emphasis on the social dimension, are very significant. Other substructures have also transformed and affected each other. The trend of this evolution shows us that the physical dimension has changed more than the others, but easy access and emerging new functions are two important results. Also, homes are transformed into the most important element in the cities, and all functions can happen in them. In conclusion, these changes have affected the perception of space, how it is used, and the needs of individuals, which consequently lead to changes in other economic, governmental, physical, functional, etc., infrastructures. Create a virtual space beside the physical one, and change all connections and roles. Many functions take place in the virtual space, making the functions free of depending on the location. The urban structure includes networks, data, apps, and citizens, which will reflect the social, economic, governmental, spatial and other transformations; in future research, a deeper investigation into the developments resulting from changes in social infrastructure is needed, and also finding the aspect of virtual space which is shaping by intelligence technologies is needed.