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Thesis Title: Spatial Interaction Models in a Big Data Grocery Retailing Environment
Primary Supervisor: Prof Adam Dennett
Second Supervisor: Dr Neave O'Clery
Funding Source: dunnhumby (Industry funded)
Start Date: 21 September 2020
Biography
Philip Studied Land Economy at Cambridge University from 2016-2019, graduating with a first class mark, before completing an MSc in Smart Cities and Urban Analytics from 2019-2020, graduating with a Distinction.
Research Summary
My research aims to examine the large-scale implementation and performance of spatial interaction models in a grocery retailing environment. This involves the application of the Wilsonian spatial interaction model formulation, as calibrated through Poisson regression, to regional scale datasets of loyalty cards, with the aim of being able to accurately model the total revenue attributed to each store.
Research Themes
Spatial Interaction Model, Retail, Loyalty Card Data, Big Data