PhD project within Smart City & Smart Buildings
University of Copenhagen, Department of Geosciences and Natural Resource Management
SIMULATING PUBLIC LIFE IN SHARED SPACES
This project investigates the potential of using agent-based modelling (ABM) and artificial intelligence from computer game technology to create an interactive pedestrian simulation as an improved tool for analysing, communicating and visualising the social life of urban spaces in an immersive and dynamic manner.
It introduces the development of a methodological framework that combines qualitative data derived from ethnographic fieldwork with quantitative data from systematic behavioural observations in order to: 1) help define the different types of agent that represent the diverse social groups in a given environment, and; 2) inform agents’ spatial and behavioural characteristics, e.g. motivations, spatial knowledge, and abilities which constitutes a set of backbone data to construct agents’ spatial behaviour in the simulated environment.
The findings of this project highlight the potential of using ABM and game technology in the realm of landscape architecture and urban design. It also identifies the structure sets of spatial behaviour parameters required for interactive pedestrian simulation, as well as the types of physical settings and their influence on the agent’s spatial behaviour.