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In this paper a semi-automated morphological classification of urban space is addressed systematically by sorting through the volumetric shapes of public spaces represented as 3-dimensional convex and solid voids. The motivation of this approach comes from a frequent criticism of space syntax methods for lacking information on how buildings and terrain morphology influence the perception and use of public spaces in general and streets in particular. To solve this problem information on howdoi:10.52842/conf.caadria.2014.253 fatcat:mtvu6fokvnclvdq4fstnu47pl4