Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods

摘要: Data scarcity is still a common barrier to adequately understanding urban access in Global South countries. Widely used location-based methods address the traditional definition of accessibility as easiness reach land-uses by means available mobility modes. Space Syntax instead analyses network centrality focusing only on topological and geometric properties layouts, making it comparatively less data-intense. However, interpretation its outputs limited own theory. Knowledge missing how such metrics are comparable produced methods. The objective research was compare both approaches for mapping two cities Guatemala. Our hypothesis tested assumption that could consistently reflect conditions so far have been measured We proposed an approach using volunteered geo-information maps following were then compared Pearson correlations. at low high radii correlated with land uses location quality neighbourhood city-wide scale correspondingly. lower time-based restrictions either posed or reduced public transport. acceptance, p < 0.01, expands scope knowledge derivable from data availability Syntax, which relevant applicability data-scarce contexts planners researchers South. Rather than replacing offers important complementary measure geographical accessibility. This having said, contribute early-stage planning gaining overall insights into patterns access.