SPACE SYNTAX ANGULAR BETWEENNESS CENTRALITY REVISITED

The main objective of the paper is to revisit the different implementations of angular betweenness in terms of calculation, efficiency and accuracy. The idea is to compare angular betweenness using graph-search-agent borrowed from network science theory and cognitive-search-agent which dominates the space syntax research through the use of depthmapX (and Depthmap in the past). The study uses the dataset from Penn et al. (1998) and Hillier and Iida (2005), for comparison and validation, where the new angular betweenness centrality proposed, that derives from a graph-search agent idea, performs faster with similar explanatory power on pedestrian movement than the space syntax depthmapX implementation which uses cognitive-search-agent. Finally the findings, which show that a graph-search agent may be better relate to manifestations of spatial perception, such as way-finding and pedestrian movement, reveals the need for further exploration of the underlying similarities and differences of angular betweenness using graph-search agent and cognitive-search-agent in relation to observed pedestrian behaviour.

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