Generative Design Intervention: Creating a Computational Platform for Sensing Space

Abstract

This paper outlines some investigations from a project which utilizescomputing and scripting of specific site components, spatio-temporalmovement and behavioural patterns to explore how designer mightunderstand people activities and formulate design interventions withinpublic spaces. This research looks at how generative tools canfacilitate designers to integrate the large volume of informationreceived by hybrid data collection, and conventional data analysisdirectly into the design process. Through an examination of sensingurban space, this research proposes a method to track and recordpeople's movement patterns in order to implement them via generativedesign tool. To facilitate this, a scripting method is specified; whichuses sensors and motion tracking devices to capture the use of aspecific public space. This project proposes a methodology fordeveloping designed spaces and optimal pathways generated from real-timedata and feedback captured by sensors.