Analysis of pedestrian behavior and transferring to design by algorithmic approach

In design fields such as urban space, where inputs and variables are high, objective data should play an active role in decision-making rather than subjective perspective of designers. In this study a performance-based design method was developed by using parametric design tools. This method uses three-dimensional data analysis of pedestrian movements obtained from video recordings in urban spaces for softscape design in urban pedestrian spaces where hardscapes are dense. This study shows how computational techniques can be a design guide providing designers with pedestrian movement data. By using the parametric design software Grasshopper, the intensity of pedestrian movements in urban space is analysed based on visual coding and a design algorithm is developed in accordance with this analysis. This algorithm-derived design is then compared to designs developed by professionals by conventional methods. As a result, it is determined that the design which is obtained by the algorithm developed has a higher performance than the designs obtained conventional manual methods.