Analisis Spasial Aksesibilitas Jalan, Demografi, dan Identitas Visual Kawasan

Abstract

City branding is not only concerned with shaping the image and identity of a city but also with how such identity is manifested and distributed across urban spaces. However, city branding studies have predominantly relied on qualitative and perceptual approaches, while the relationship between visual identity, road network accessibility, and demographic characteristics has received limited quantitative and spatial analysis. This study aims to examine the relationship between road network accessibility, demographic characteristics, and the distribution of visual identity elements as components of city branding in the City of Perth, Australia, using an open-data-based spatial data science approach. The analysis integrates infrastructure and demographic data through road network mapping, identification of visual identity elements, regression analysis, and spatial overlay to compare patterns across neighbourhoods. The findings indicate that highly accessible areas tend to have a greater concentration of visual identity elements, although this relationship is not consistent across all neighbourhoods. Some areas demonstrate a relatively balanced relationship between accessibility and visual identity, whereas others have high accessibility but limited branding elements, or strong visual identity with comparatively lower connectivity. These findings demonstrate that spatial data science can extend city branding research by providing spatial evidence of disparities between accessibility and visual identity, thereby complementing the perceptual approaches that have traditionally dominated the field. The study is subject to limitations related to demographic area matching, the use of road-segment counts as a proxy for accessibility, and reliance on formal asset inventories. These limitations mean that the demographic–accessibility relationship should be interpreted as exploratory and should not be broadly generalized. Nevertheless, the proposed framework provides a replicable approach for preliminary, data-driven assessment and planning of city branding strategies in other urban contexts.