Generative Design Intervention: Creating a Computational Platform for Sensing Space

Abstract

This paper outlines some investigations from a project which utilizes computing and scripting of specific site components, spatio-temporal movement and behavioural patterns to explore how designer might understand people activities and formulate design interventions within public spaces. This research looks at how generative tools can facilitate designers to integrate the large volume of information received by hybrid data collection, and conventional data analysis directly into the design process. Through an examination of sensing urban space, this research proposes a method to track and record people’s movement patterns in order to implement them via generative design tool. To facilitate this, a scripting method is specified; which uses sensors and motion tracking devices to capture the use of a specific public space. This project proposes a methodology for developing designed spaces and optimal pathways generated from real-time data and feedback captured by sensors. Â