Grahn, Patrik
- Department of People and Society, Swedish University of Agricultural Sciences
Shayestefar, Marjan; Pazhouhanfar, Mahdieh; van Oel, Clarine; Grahn, Patrik
A significant majority of the literature on natural environments and urban green spaces justifies the preferences that people have for natural environments using four predictors defined by Kaplan's preference matrix theory, namely coherence, legibility, complexity, and mystery. However, there are no studies implicitly focusing on the visual attributes assigned to each of these four predictors. Thus, the aim of this study was to explore the influence of nine visual attributes derived from the four predictors of Kaplan's matrix on people's preferences in the context of urban parks. A discrete choice experiment was used to obtain responses from a sample of 396 students of Golestan University. Students randomly evaluated their preferences towards a set of potential scenarios with urban park images. The results of a random parameter logit analysis showed that all of the attributes of complexity (variety of elements, number of colors, and organization of elements) and one attribute each of coherence (uniformity), mystery (visual access), and legibility (distinctive elements) affect students' choices for urban parks, while one attribute each of mystery (physical access) and legibility (wayfinding) did not affect the choices. Furthermore, the results indicated a preference for heterogeneity of the attributes. The findings of this study can provide instructions for designing parks.
information processing theory; landscape design; multinomial logit model; predictors of preference
Sustainability
2022, Volume: 14, number: 12, article number: 7357
Publisher: MDPI
Built environment
SLU Urban Futures
SDG11 Sustainable cities and communities
SDG3 Good health and well-being
Environmental Sciences
Architectural Engineering
DOI: https://doi.org/10.3390/su14127357
https://res.slu.se/id/publ/118289