IF YOU COULD KNOW, WHAT USERS THINK: Urban Design and Preference of the Visual Attributes to Design Sustainable Urban Open Spaces

Abstract

What are the visual attributes of successfully designed urban open spaces that play significant roles in the creation of sustainable livable cities? Public spaces are mostly designed for social interaction and communication. The aesthetic and morphological dimensions of public spaces are among the essential visual and physical characteristics that need to be understood for successful social use. This paper reports on a study that was exploratory and qualitative in nature and sets out to explore the different physical characteristics of designed urban open spaces as being aesthetically and socially important from the users' point of view. By using photo simulation techniques, a set of 24 photographs of urban plazas, squares, and pedestrian malls were used as surrogates for the physical environment. The study identified some salient attributes of designed urban open spaces in order to create sustainable urban planning, with six sub-categories considered to be important. Based on detailed participant responses, a list of the attributes of preferred physical environment to design sustainable urban open space has been developed. The findings can be implemented to create sustainable urban planning as well as to design successful urban plazas, squares, and other public open spaces according to user preferences in the future.

Interest identification from browser tab titles: A systematic literature review

“…Modeling and understanding users interests has become an essential part of our daily lives (Kumar & Reinartz, 2012), becoming a crucial tool for marketing (Kim et al, 2010;Trusov et al, 2010), urban development (Ferdous, 2015), food services (Zeng et al, 2016), education (Robertson & Jones, 2009), use of social media (Zhang et al, 2021) and several other different domains or areas. A variety of business processes and a growing number of companies also employ user interests identification techniques on large scales (Mobasher, 2005;Montgomery et al, 2004;Wasim et al, 2011).…”