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. Fields of science natural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual realitysocial sciencessocial geographytransportsustainable transport Keywords spatial cognition ageing pedestrians sustainable planning and design smart cities activity location visibility graph spatial networks virtual reality agent based simulation spatial networks Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator UNIVERSITY COLLEGE LONDON Net EU contribution € 195 454,80 Address Gower street WC1E 6BT London United Kingdom See on map Region London Inner London — West Camden and City of London Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
