%0 Thesis
%9 Doctoral
%A Tang, Jason
%B Geography
%D 2024
%E Cheshire, James
%E Longley, Paul
%F discovery:10197660
%I UCL (University College London)
%K Consumer Panel, Microsimulation, Machine Learning, Geocomputation, Gravity Models, Retail Geography
%P 320
%T The Utility of Consumer Panels for Social and  Geographic Research
%U https://discovery.ucl.ac.uk/id/eprint/10197660/
%X The overarching goal of this thesis is to evaluate the efficacy of consumer panels  as an alternative data source for comprehending, profiling, and modelling the British  Fast Moving Consumer Goods (FMCG) and Food On The Go (FOTG) markets. This  research benefits from a collaboration with Kantar WorldPanel, utilising large-scale  consumer panels designed to gather transaction data from nationally representative  households across Great Britain. The contributions of the presented work are at  three levels. First, an in-depth analysis is carried out concerning the characteristics,  representativeness, and completeness of the provided datasets, critically outlining  their utilities for data linkage with additional demand-side data from the addi-  tional individual demographics panel and supply-side data Secondly, a contrast set  mining model is developed to reveal insights into product-channel relationships  in conjunction with regional and geodemographics groups. This process enables  the detection of significant behavioural traits among population subgroups while  providing further evidence how households moderate their product choices based  on their retail alternatives and normative spatial patterns. Finally, the complexities  underpinning grocery retailing are integrated and validated through the construction  of a disaggregated Huff model. This model facilitates the understanding of store  patronage decisions and their corresponding mobility patterns on a national scale.  The conjunction of a large-scale geocoded consumer panel and disaggregated Huff  models hold significant potential for modelling interactions between households  and their surrounding retail establishments. It also underscores the theoretical jus-  tification and extension for the development of retail gravity models at smaller  area levels. Overall, the thesis aims to provide a robust evaluation of the benefits  and limitations of utilising consumer panels for empirical social and geographic  applications, and the methodological implications thereof.
%Z Copyright © The Author 2024. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/).  Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms.  Access may initially be restricted at the author’s request.