Utilization of perceptual-visual components in urban landscape resilience Case study: Rasht city

Authors

• Hasan Hekmatnia ¹
• ESMAEL NASIRI HENDEH KHALEH ¹
• mohamad eskandari ¹
• Davood moghadam ²

¹ Associate Professor of Geography and Urban Planning, Payame Noor University,Tehran, Iran.

² MSc Student, Land Management Planning, University of Tehran, Tehran, Iran.

10.30495/jzpm.2022.5431

Abstract

Resilience as a new concept in sustainability literature has created a new understanding of the relationship between man and the environment. Resilience is derived from biological discipline, which determines an organism's ability to withstand and recover from a shock, disaster, or disease. The present study evaluates the effect of perceptual-visual components on the resilience of the urban landscape of Rasht metropolis. Method of collecting information in two ways; Documentary and field is a questionnaire and interview. The independent variables of this research are functional, aesthetic, form and morphological, environmental and dependent variables of landscape resilience research. The questionnaire used in this research was a researcher-made questionnaire whose validity was confirmed by experts (professors and experts in the field of urban landscape). The sample size was calculated based on Cochran's formula, 384 questionnaires and distributed by simple random sampling. Pearson correlation test was used to analyze the data in SPSS software. The results showed that considering that the variables of perceptual-visual quality components (including functional, experimental and aesthetic components, form and morphology, environment) with the dependent variable of this study (comparative perspective) have a correlation coefficient. Is 0.568. The adjusted coefficient figure in this study also indicates that 76% of the changes related to the resilient landscape in environmental variables, form and morphology and aesthetics can be explained. The study of tolerance coefficients shows that the environmental variables of form, morphology and aesthetics have the highest coefficients with 0.452, 0.328 and 0.312, respectively, and act as a predictor variable compared to other variables. Therefore, it can be added that the components of perceptual-visual quality affect the patient perspective. The adjusted coefficient figure in this study indicates that 76% of the changes related to the resilient landscape in environmental variables, form and morphology and aesthetics can be explained.

Keywords

• Resilience
• Landscape
• Landscape to Bavar
• Perceptual-visual components
• Rasht

20.1001.1.22516735.1401.12.47.10.2

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