Crowd-driven Mid-scale Layout Design

Urban Layout Design

PhD Student – Feng Tian, Information Systems Technology and Design

Supervisor – Sai-Kit Yeung, Assistant Professor, Information Systems Technology and Design

This research project proposes a novel approach that that incorporates simulated human crowd flow patterns into the design of middle-scale built environment layouts (e.g., shopping mall, campus, station terminal, theme park).

Simulations of human crowd flow patterns, which are traditionally time-consuming, can be more efficiently carried out due to advances in machine learning techniques.

The output of these simulations allow the layout designers a flexible method of iteratively designing built environment layouts through the manipulation of high-level design goals (e.g., number of sites, floor area ratio) that is both quick and cost-efficient.

Read more here.