Interpreting and Predicting Pedestrian Movement in Public Space through Space Syntax Analysis

摘要

Creating quality and sustainable urban environments has always been a challenge for urban planners and designers. The modern perception of urban planning is directed towards promoting pedestrian movement and, at the same time, limiting the excessive use of automobiles. For understanding how pedestrian movement is generated in relation to the urban layouts and for predicting this movement in public spaces, GIS database, statistical methods as well as space syntax approaches are used and tested in the case of the Municipality of Athens. In particular, this paper attempts to: (a) interpret and predict densities of pedestrian movement though the effective study of configuration characteristics and syntactic properties of urban space; (b) identify inconsistencies and limitation in the prediction of pedestrian movement; (c) propose a methodological framework to overcome these limitations. Correlation analysis is also performed between the results of axial and segment analysis to establish the syntactic analysis that better simulates the pedestrian movement. This paper is part of a wider research that intents to interpret the characteristics of the public space in order to create, through more holistic approaches, a methodological framework for decision-making analysis towards sustainable urban planning.