Skip to main content

How visual perception shapes our cities: a cognitive model of ageing population

Objective

Two mega-trends – the rapid urbanisation of the world’s population and the ageing of that same population – will soon collide. Adapting to the challenges of elderly citizens (many of whom no longer drive), urban designers need appropriate tools to support planning for walking, the most environmentally, socially, and economically sustainable transport mode. Cities’ walkability depends not only on physical settings, but also on processes of human spatial cognition, in particular visual perception. However, current state of art methods in modelling and forecasting urban systems are based mainly on economic and transportation demands and ignore pedestrians’ spatial cognition. This research discovers how visuo-spatial cognition contributes to the generation of new urban uses and activities based on the age profile of the user population. It constructs a novel urban-behavioural paradigm that links built environment and the way people use it, by addressing three fundamental questions: (1) What are the most important visuo-spatial properties influencing pedestrian cognition? (2) How urban visibility could be encoded and analysed as an abstracted spatial representation (visibility network)? (3) What mechanisms allow cities to be generated through feedback reflected in pedestrian movement and urban visibility? These questions are answered using an interdisciplinary approach: It combines quantitative techniques for spatial modelling with qualitative strategies for tracing of pedestrian behaviour in Immersive Virtual Reality (IVR). The research findings will set a framework for the evidence-based tool to assist planners, architects and stakeholders in the design and evaluation of urban projects in view of the changing needs of urban population.

Field of science

  • /social sciences/social and economic geography/transport
  • /social sciences/social and economic geography/transport/sustainable transport

Call for proposal

H2020-MSCA-IF-2016
See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

UNIVERSITY COLLEGE LONDON
Address
Gower Street
WC1E 6BT London
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 195 454,80