Streetscape Perception Modelling – Theoretical Considerations and Methodological Possibilities

Dec 17, 2021 10:00 AM
University of Twente

The influence of features and properties of the urban built-up environment on people’s sense of safety and perception of beauty, social vibrancy, and walkability is a topic of interest of urban geographers, designers, planners, and environmental psychologists alike. Along with emerging forms of data and the computational paradigm of Artificial Intelligence, current GIS, citizen science, and sensor technologies offer exciting technical and methodological possibilities for extracting, representing, and modelling aspects of people’s perception of streetscapes. This workshop aims to explore these possibilities, exchange research experiences, and discuss the theoretical grounds based on which we can operationalise, i.e., model, streetscape perception, particularly based on geospatial technologies.

The workshop will offer an open and interactive environment for researchers of all levels to discuss questions including, but not limited to:

  • What theoretical frameworks can guide us in extracting, representing, and modelling different streetscape perception aspects of people from different social groups and cultural backgrounds?
  • Which variables, parameters, and indicators these theoretical frameworks suggest and how can they be reliably extracted based on different digital technologies and participation methods?
  • Which GIS interfaces, data structures, and visualisations are effective in representing people’s perception of streetscapes as to foster theory development and inform planning and policy design towards more sustainable and inclusive urban spaces?

An outcome of the workshop will be a written summary of the discussed ideas authored by all participants and published in the PLATIAL’21 proceedings. The indicative programme is as follows:

  • Introduction by the organisers (20 min)
  • Crash presentations by participants (optional) (20 min)
  • Break-out group discussions (30 min) + World Café (30 min)
  • Paper writing outlook (20 min)
Tessio Novack
Tessio Novack
Assistant Professor in Urban Analytics
James Tripp
James Tripp
Senior Research Software Engineer

My background is in Cognitive Science. I completed both a BSc(Hons) and PhD in Psychology at the University of Warwick, then worked as a Post-Doctoral research fellow. Throughout I carried out statistical analysis and wrote software. The software languages I use are R, HTML, Javascript, Python and C.

Carlos Cámara-Menoyo
Carlos Cámara-Menoyo
Architect. PhD. Lecturer. Life-long Learner. Transdisciplinary.

I love learning, teaching and researching, as well as sharing and visualizing data, specially with maps. I have a technical and social background and my multiple research interests are centered around the commodifications between cities, technology and society within informationalism and free culture paradigm. So far, I have applied that approach on the topic of social and spatial inequities.

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