Towards a Better Urban Design in Respect to Environmental Behavior Using Knowledge Discovery

Abstract

Urbanization growth is creeping, and the number of cities will increase each day more than before. Predictions say that approximately 70% of the world population will live in urban areas by 2050. Hence, new approaches must be considered while designing/upgrading/enhancing urban places. This article describes a new theoretical model to enhance the urban design process through Knowledge Discovery techniques based on Artificial Intelligence, data mining, machine learning, 5G, and Micro-World. The research findings enable assessing the whole process of Urban Design phases by proposing new techniques using the Knowledge Discovery by combining the traditional research methods used frequently in the Urban Design Process with the Knowledge Discovery Techniques. Through reviewing and analyzing the urban design and its relation to urban behavior, the authors deduct the correlations between the urban design process and the knowledge discovery techniques that can build solutions based on objective output, not only the traditional subjective ones. The new research results explain the exact application relevant to each step in the urban design process. Also, the research will supplement and improve urban studies to understand the profound relationship between Urban Environmental Psychology and Artificial Intelligence. It can serve the urban designers and planners by using the knowledge discovery to enhance urban practice by providing a more comprehensive range of solutions.

Urban spaces as a positive catalyst during pandemics: Assessing the community’s well-being by using artificial intelligence techniques

“…Public spaces are the city’s most essential component; they are composed of streets, sidewalks, plazas, and parks owned by the government [40] , [41] , [42] , they represent the shape of the unsealed, accessible, and permeable urban form areas without any discrimination (Middle et al, 2014). In most cities, outdoor public spaces are their central heart [13] .…”