ITINERANT (InequaliTies IN Experiencing uRbAn fuNcTion) - Presentations

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Urban Analytics MSc

The ITINERANT project explored the use of new forms of data to investigate human mobility in its relationship with urban functions and existing inequalities. Our research activities covered different aspects of human mobility, including how COVID-19 played a role in reshaping mobility patterns; building upon the Urban Grammar project (https://urbangrammarai.xyz/), we introduced a novel classification of urban environments in terms of their functions to better contextualise human mobility, and analysed existing inequalities in how people navigate such urban functions. In this session, we will walk you through our findings with three presentations lasting 20 minute: 0:00 Urban Exodus? Understanding Human Mobility in Britain During the COVID-19 Pandemic Using Facebook Data Francisco Rowe, Senior Lecturer Quantitative Human Geography, University of Liverpool ( https://youtu.be/lhyytz7ayTY22:46 Functional Signatures in Great Britain Daniel Arribas-bel, Prof. in Geographic Data Science, University of Liverpool and Deputy Programme Director for Urban Analytics at Alan Turing Institute and Krasen Samardzhiev, PhD Student, GDSL, University of Liverpool (https://youtu.be/lhyytz7ayTY?t=136647:58 InequaliTies IN Experiencing uRbAn fuNcTion (ITINERANT): a Spectus.ai data exploration Alessia Calafiore, Lecturer in Sustainability and Urban Data Science, University of Edinburgh (https://youtu.be/lhyytz7ayTY?t=2877)