Exploring human scaled streetscapes in situations of extreme densification and new extreme high-rise: applying neuro-architecture and artificial intelligence.
New technologies from neuroscience and artificial intelligence offer the opportunity to measure and visualize the assumed effects of spatial design solutions of streetscapes on its users.
Amsterdam fases an extreme densification, challenging its liveability
A key question is how to design high density and high rise neighbourhoods – and still create a human scaled streetscape at eye‑level
Amsterdam is challenged to accommodate 50,000 to 90,000 new homes in the next five to ten years. That is equivalent to 10% to 20% of the city’s current total housing stock. Moreover, the new homes have to be built within the existing urban fabric, calling for high densities and the construction of new ‘un-Dutch’ typologies of extreme high-rise housing. Similar accelerating densification is taking place in multiple Western cities, driven by demographic and economic growth, yet also creating major impact on the liveability of cities.
The impact on the (visual) experience of the built environment in streetscapes at eye-level remains unpredictable. This calls for a deeper understanding of the relationship between current dominant design solutions and the conditions they ought to provide for the users of streetscapes. New technologies from neuroscience and artificial intelligence offer new opportunities.
on spatial design solutions for high density environments
The emergence of a new generation of technology and methods borrowed from the field of neuroscience, specifically eye-tracking, open up the possibility of gaining a deeper understanding of physical-social interrelationships in streetscapes. To provide more accurate practice proven and tested design solutions, we conduct a two year explorative research on design principles for liveable streetscapes.
Together with the Chairs of Urban Analytics and Play & Civic Media, a consortium of urban designers and city planners, we trace, analyze and unlock spatial design solutions for new streetscapes in high density settings. An international advisory board and a representation of Amsterdam Clients of Spatial projects complete our consortium.
The goals of our research are threefold. It aims to produce more practice proven knowledge about possible design solutions, creating better neighborhoods; transfer and translate the applied emerging technologies into the practice of spatial design; and contribute to the new fields of neuro-architecture and Artificial Intelligence.
Workpackages and endproducts
Tools for design praxis
Best practice book
Lab and field tests
Designing for human
Amsterdam University of Applied Science
Faculty of Technology
Research programme Urban Technology
dr. Frank Suurenbroek, Professor of Spatial Urban Transformation
Weesperzijde 190, Amsterdam
Please send your mail to:
PO Box 1209, 1000 BE Amsterdam
(+31) 20 595 1454