Mapping the local night-time economy: The spatial role of local coffee shops
DOI:
https://doi.org/10.61511/spms.v2i2.2025.2634Keywords:
local coffee shops, night time light, spatial heterogeneityAbstract
Background: Urban economic studies increasingly recognize the significance of night-time activities as indicators of a city’s vitality. This research examines how formal small-scale enterprises specifically local coffee shops (warkop) contribute to the spatial dynamics of the night-time economy in Banda Aceh, Indonesia, a city characterized by culturally regulated social life. Methods: The study integrates spatial and statistical approaches, combining Kernel Density Estimation (KDE), Ordinary Least Squares (OLS), and Multiscale Geographically Weighted Regression (MGWR) to analyze the relationship between local coffee shops density and night-time light (NTL) intensity derived from satellite imagery. Findings: The results demonstrate that local coffee shops density has a significant positive correlation with NTL intensity (β = 7.30, p < 0.01), but the strength of this relationship varies spatially, being strongest in emerging sub-centers with mixed residential and commercial functions and weaker in already illuminated central districts. These findings indicate that local coffee shops serve as micro-scale urban infrastructures sustaining local economic and social vibrancy after dark. Conclusion: The study concludes that night-time illumination should not be interpreted solely as an economic indicator, but rather as a spatial manifestation of socio-economic diversity shaped by both formal and informal systems. Novelty/Originality of this article: The novelty of this study lies in conceptualizing local coffee shops as culturally embedded urban infrastructures and integrating open-source spatial data with remote-sensing methods to capture the geography of the night-time economy in a Global South city.
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