TY  - THES
UR  - https://discovery.ucl.ac.uk/id/eprint/10197660/
TI  - The Utility of Consumer Panels for Social and
Geographic Research
KW  - Consumer Panel
KW  -  Microsimulation
KW  -  Machine Learning
KW  -  Geocomputation
KW  -  Gravity Models
KW  -  Retail Geography
N1  - 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.
ID  - discovery10197660
AV  - restricted
EP  - 320
N2  - 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.
M1  - Doctoral
PB  - UCL (University College London)
Y1  - 2024/09/28/
A1  - Tang, Jason
ER  -