Understanding Landscape Perception in Mountainous Cities
Mapping its Patterns and Influencing Factors
Changyu Zhang (Chongqing University)
Yu Cheng (National University of Singapore, Chongqing University)
Lingna Zhu (Chongqing University)
Huasong Mao (Chongqing University)
Yizhao Du (University of Cambridge, TU Delft - Architecture and the Built Environment)
Xinrui Yu (Chongqing University)
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Abstract
In mountainous cities, mountain landscapes are a crucial component of urban nature, offering rich perceptual layers and angles due to their complex topography, and serving as a vital embodiment of urban culture and place identity. Studying the visual perception patterns of these landscapes from a public perspective provides new dimensions for landscape value assessment. This study, taking Chongqing, China as a case study, aims to construct a multi-dimensional mountain perception analysis framework that integrates multi-source data and advanced technologies. We extracted spatial information and element proportions from geo-tagged images and used a Geographically Weighted Regression (GWR) model to quantitatively analyze the correlation between various factors and mountain proportionate density. The results show that public visual perception of mountain landscapes exhibits two spatial characteristics: a high frequency in mid-to-short distance riverside areas and a high perceptual intensity in high-elevation locations. Building Proportion (BP), Green View Index (GVI), and Sky View Factor (SVF) are highly correlated with mountain perception and demonstrate significant spatial heterogeneity. Furthermore, the Shannon–Wiener Index (SWI) shows a weak negative correlation with mountain perception. This study reveals the spatial patterns and influencing mechanisms of mountain landscape perception to better formulate urban planning and landscape renewal strategies, thereby fostering a harmonious relationship between humans and nature.