ERAM as a complementary method of Spatial Syntax: comparison of methodologies by linking spatial analysis with income-producing efficiency for a retail outlet in South Korea

This study examines if quantitative spatial analysis techniques are methodologically suitable in terms of linking spatial characteristics with income-producing efficiency. Two methodologies, Space Syntax and Eigenvector Ratio of Adjacency Matrix (ERAM), were employed to conduct an empirical analysis of a retail outlet with a multi-storey structure. The first model is the integration value of Space Syntax and the second model is ERAM, which is a behaviourally developed version of Space Syntax. Thus, integration of Space Syntax, which calculates relative spatial depth, is found to not be significant to gross sales of stores, while ERAM value is found to be significant. By presenting methods to optimize space, this study contributed to how limited spaces of income-producing properties can be more efficiently used. The ERAM model yielded a value that is significant to gross sales of stores and could be used to estimate and further increase gross sales of stores when planning the inner spaces of income-producing properties.