Presentation 1: Geographic representativeness: Cuebiq smartphone mobility data
By: George Breckenridge
Abstract: This talk will give an overview of part of our validation analysis of Cuebiq mobility data, focussed on geographic representativeness in England. By examining geographic representativeness over a range of spatio-temporal scales, against ONS 2019 Mid-Year Population Estimates, a statistical understanding of the realism and granularity of the data can be acquired. These results are important as they can then indicate the quality of the sample to audiences transparently and guide the main scale of analysis
Presentation 2: Investigating policy adherence and house visits during England’s COVID-19 ‘lockdowns’ using fine-grained GPS smartphone data
By: Stuart Ross
Abstract: Here, we take Cuebiq GPS data for ~450,000 English smartphone users to understand policy adherence by investigating the regional instances of ‘non-essential’ trips to other households. By using this metric, we can see a more suitable quantitative representation of human behaviour that isn’t adhering to English health regulations, allowing policymakers to appreciate geographic areas in which mobility unnecessarily endangers COVID-19 transmission risk the most.
Presentation 3: New insights into workplace and retail dynamics for English and Welsh cities
Abstract:Commercial areas and the businesses that inhabit them are not just an important addition to the vitality of urbanised areas but in many ways are essential to the ability of these places to flourish. This project has been utilising the newly available Whythawk dataset to construct a model for presenting and thus, understanding the spatial distributions of commercial areas across England and Wales. Largely, this has involved clustering workplaces of similar characteristics to distil a set of key workplace types, which can then subsequently be mapped and analysed. In addition, the dataset has made available details of workplaces that have not been present in previous workplace datasets, such as distinguishing different workplace functions within multi-level building complexes. Consequently, this could provide additional insights and novel avenues for academic research and policy initiatives.
If you wish to ask the presenters any questions or offer feedback, please email LIDA