From form to meaning: an empirical visual–aesthetic–semantic framework for perceiving tall-building skylines

Tall buildings increasingly shape the visual and symbolic identity of contemporary cities. Yet, previous skyline studies have typically explored visual, aesthetic, and semantic dimensions in isolation, without empirically examining how these dimensions relate to one another within a unified framework. This gap limits a comprehensive understanding of how the physical form of tall buildings translates into perceived meaning in urban environments. This study develops and empirically tests a visual–aesthetic–semantic model to investigate the interdependencies among skyline dimensions. Using survey data collected from residents of four Tehran neighborhoods and urban experts, the research employs mean comparison tests (ANOVA and t-tests) to examine how variations in physical and visual characteristics of tall buildings influence semantic interpretations. The findings show that skyline meaning is not a simple outcome of physical form but emerges through aesthetic perception, which shapes symbolic interpretations such as power, wealth, density, and urban progress. Significant perceptual differences across social groups highlight the contextual and experiential nature of skyline understanding. Beyond the Tehran case, the study empirically validates a visual–aesthetic–semantic analytical framework that explains how the physical characteristics of tall buildings are translated into symbolic meaning through aesthetic perception at the skyline scale. The framework integrates physical, visual, and semantic dimensions into a unified perceptual model applicable to other metropolitan contexts.

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Publication Details

Journal
City and Environment Interactions
Published
2026-05-01
DOI
https://doi.org/10.1016/j.cacint.2026.100380
Primary Topic
Urban Design and Spatial Analysis
Type
article
Field-Weighted Citation Impact
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article

From form to meaning: an empirical visual–aesthetic–semantic framework for perceiving tall-building skylines

Fatemeh Derakhshan, Mehrdad Karimimoshaver
City and Environment Interactions
Urban Design and Spatial Analysis
article

From form to meaning: an empirical visual–aesthetic–semantic framework for perceiving tall-building skylines

Fatemeh Derakhshan, Mehrdad Karimimoshaver
article en

Abstract

Tall buildings increasingly shape the visual and symbolic identity of contemporary cities. Yet, previous skyline studies have typically explored visual, aesthetic, and semantic dimensions in isolation, without empirically examining how these dimensions relate to one another within a unified framework. This gap limits a comprehensive understanding of how the physical form of tall buildings translates into perceived meaning in urban environments. This study develops and empirically tests a visual–aesthetic–semantic model to investigate the interdependencies among skyline dimensions. Using survey data collected from residents of four Tehran neighborhoods and urban experts, the research employs mean comparison tests (ANOVA and t-tests) to examine how variations in physical and visual characteristics of tall buildings influence semantic interpretations. The findings show that skyline meaning is not a simple outcome of physical form but emerges through aesthetic perception, which shapes symbolic interpretations such as power, wealth, density, and urban progress. Significant perceptual differences across social groups highlight the contextual and experiential nature of skyline understanding. Beyond the Tehran case, the study empirically validates a visual–aesthetic–semantic analytical framework that explains how the physical characteristics of tall buildings are translated into symbolic meaning through aesthetic perception at the skyline scale. The framework integrates physical, visual, and semantic dimensions into a unified perceptual model applicable to other metropolitan contexts.

City and Environment Interactions
Bu-Ali Sina University (IR)
Sustainable cities and communities
Openalex Percentile: Top 7%
Urban Design and Spatial Analysis
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