IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

AI-Enabled Decision Support Systems For Urban Planning And Management

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Parveen Kumar Garg, Pooja

Abstract

The application of artificial intelligence (AI) is quickly becoming more prominent as a significant technology that has the potential to revolutionize and redefine the field of urban planning. On the other hand, there are still a number of concerns that have not been resolved concerning the possible impacts that artificial intelligence could have on urban and regional planning research and practice, as well as the problems that are involved and the relevant interventions and strategies. The purpose of this study is to address these concerns in the planning process that is facilitated by artificial intelligence and to establish a typology of urban planning as a result. Based on a scoping literature analysis, artificial intelligence will be used to classify and outline the advancement of AI in urban planning, beginning with AI-assisted and AI-augmented planning and progressing to AI-automated and eventually AI-autonomized planning.

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