Lead Research Organisation: University College London
Department Name: Geography


Aims of the research:
1. The principal aim is to understand how geographic, social, and economic factors influence movement
behaviour during the COVID-19 pandemic.
2. I will explore the representativeness of movement data, and whether certain demographic groups or
movement types are under or overrepresented. Importantly, this will inform methods for generalising the
movement of a sample of individuals to the behaviours of an entire population.
3. I will examine the prediction of movement behaviour during emergencies and how these predictions
can be improved with information on the socio-demographic characteristics of populations.
4. I will investigate how privacy preserving aggregation techniques (spatial and temporal) impact
movement indicators and the effect these indicators have on different socio-demographic groups.

Detailed Research Questions: I will use movement data to quantify the varied geographic, social, and
economic determinants of movement behaviour in the UK. As in my previous work, this research will be
specifically applied to understanding patterns of movement during public health emergencies, including
the COVID-19 pandemic and associated interventions. The research will also make predictions of
movement patterns and determine how demographic factors improve the performance of predictions of
human movements. Finally, the research will determine the influence of privacy preserving aggregation
and censoring methods on the interpretation of human movement indicators.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
ES/P000592/1 30/09/2017 29/09/2027
2573226 Studentship ES/P000592/1 26/09/2021 29/09/2024 Hamish Peter Gibbs