In collaboration with Payame Noor University and Iranian Geography and Urban Planning Association

Document Type : Research Paper

Authors

1 Ph.D. Student, Department of Urban Development, West Tehran Branch, Islamic Azad University, Tehran, Iran

2 Associate professor, Department of urban development, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Professor. Department of Urban Development, Faculty of Architecture and Urban Planning, Iran University of Science and Technology, Tehran, Iran

10.30473/psp.2025.72754.2743

Abstract

By reviewing the theoretical literature on urban landscape design, aesthetics was identified as one of the most influential factors in achieving desirable urban landscapes. The aesthetic experience in the everyday urban landscape is a process that requires judgment, evaluation, and mutual interaction between citizens and their environment. Therefore, attention to citizens' opinions is essential. The aim of this research is to develop a model of the components affecting the design of the everyday urban landscape, emphasizing aesthetics from the perspective of citizens' experiences as the primary users of their living environment. To achieve this goal, using a pragmatist approach, qualitative data were initially collected through a grounded theory method. Semi-structured interviews were conducted with a sample of 9 experts and 41 citizens of Babol until theoretical saturation was reached. The data were analyzed using MAXQDA software, and based on the grounded theory paradigm, a qualitative model of urban landscape design variables, emphasizing citizens' aesthetic experiences, was developed. Subsequently, to examine the practical application of the model, a quantitative evaluation was conducted. Quantitative data were analyzed using the generalized partial least squares method and SmartPLS software, with a sample of 384 citizens of Babol completing questionnaires. The results showed a significant relationship between the qualitative model and its quantitative validation. A P-value of zero in the relationships between variables confirms the model's significance.

Keywords

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