Abstract
Wide access to large volumes of urban big data and artificial intelligence (AI)-based tools allow performing new analyses that were previously impossible due to the lack of data or their high aggregation. This paper aims to assess the possibilities of the use of urban big data analytics based on AI-related tools to support the design and planning of cities. To this end, the author introduces a conceptual framework to assess the influence of the emergence of these tools on the design and planning of the cities in the context of urban change. In this paper, the implications of the application of artificial-intelligence-based tools and geo-localised big data, both in solving specific research problems in the field of urban planning and design as well as on planning practice, are discussed. The paper is concluded with both cognitive conclusions and recommendations for planning practice. It is directed towards urban planners interested in the emerging urban big data analytics based on AI-related tools and towards urban theorists working on new methods of describing urban change.
Highlights
Large volumes, velocities, varieties, and veracities of geo-referenced data, actively and passively produced by users, bring more comprehensive insights into depicting socioeconomic environments [1]
It is directed towards urban planners interested in the emerging urban big data analytics based on artificial intelligence (AI)-related tools and towards urban theorists working on new methods of describing urban change
A similar type of review was conducted by Hao et al [36]; it was limited only to Chinese studies and concerned only the use of big data, while this study focuses on the worldwide use of AI-based tools for big data analytics
Summary
Velocities, varieties, and veracities of geo-referenced data, actively and passively produced by users, bring more comprehensive insights into depicting socioeconomic environments [1]. In order to bridge this gap, a conceptual framework to assess the influence of the emergence of AI-based tools and urban big data on the design and planning of cities in the context of urban change was made. Human behaviour is impacted by different factors, such as the urban microclimate, morphology, connectivity, and accessibility of public and commercial facilities To model this complexity, current cities require the introduction of new forms of planning [16,17] based on profoundly critical engagement with cities, analysis of the interrelationships between human activity and urban space, as well as intellectual and ethical guideposts for transformative actions [18]. In recent years, one can observe an increasing amount of big data mining applications in urban studies and planning practices [20,21,22]
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