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Supporting materials

Using Consumer Data in Research 1. What is Consumer Data?
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Using Consumer Data in Research 2. What can we do with Consumer Data?
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Using Consumer Data in Research 3. What skills do we need?
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Recommended reading

  • Batty, M. (2013), “Big data, smart cities and city planning”, Dialogues in Human Geography, SAGE Publications, Vol. 3 No. 3, pp. 274–279.
  • Kandt, J. and Batty, M. (2021), “Smart cities, big data and urban policy: Towards urban analytics for the long run”, Cities, Vol. 109, p. 102992.
  • Longley, P.A., Cheshire, J. and Singleton, A.D. (2018), “Consumer Data Research”, UCL Press, available at: https://www.uclpress.co.uk/products/114094 (accessed 24 September 2021).
  • Rains, T. and Longley, P. (2021), “The provenance of loyalty card data for urban and retail analytics”, Journal of Retailing and Consumer Services, Vol. 63, p. 102650.
  • Brewer, H.R., Hirst, Y., Sundar, S., Chadeau-Hyam, M. and Flanagan, J.M. (2020), “Cancer Loyalty Card Study (CLOCS): protocol for an observational case–control study focusing on the patient interval in ovarian cancer diagnosis”, BMJ Open, British Medical Journal Publishing Group, Vol. 10 No. 9, p. e037459.
  • Corless, M. (2020), A Spatio-Temporal Investigation into the Effect of General Health on Consumer Financial Vulnerability, through the Indicator of County Court Judgements (CCJs), Geographic Data Science MSc, University of Liverpool, available at: https://www.registry-trust.org.uk/blog/welcome-to-registry-trusts-new-data-analyst/ (accessed 1 April 2022).
  • Flanagan, J.M., Skrobanski, H., Shi, X. and Hirst, Y. (2019), “Self-Care Behaviors of Ovarian Cancer Patients Before Their Diagnosis: Proof-of-Concept Study”, JMIR Cancer, Vol. 5 No. 1, p. e10447.
  • Kuleszo, J., Coulter, R., van Dijk, J. and Longley, P. (2021), “Linking consumer datasets to chart residential moves in private rental housing in England and Wales”, In: Proceedings of the 29th Annual GIS Research UK Conference (GISRUK). Zenodo (2021), Proceedings paper presented at the 29th Annual GIS Research UK Conference (GISRUK), Zenodo, 6 April, available at:https://doi.org/10/1/GISRUK2021_paper_50.pdf.
  • Lansley, G., Li, W. and Longley, P.A. (2019), “Creating a linked consumer register for granular demographic analysis”, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 182 No. 4, pp. 1587–1605.
  • Lloyd, A. and Cheshire, J. (2019), “Detecting Address Uncertainty in Loyalty Card Data”, Applied Spatial Analysis and Policy, Vol. 12 No. 2, pp. 445–465.
  • Longley, P.A., Cheshire, J. and Singleton, A.D. (2018), “Consumer Data Research”, UCL Press, available at: https://www.uclpress.co.uk/products/114094 (accessed 24 September 2021).
  • Singleton, A.D. and Longley, P.A. (2019), “Data infrastructure requirements for new geodemographic classifications: The example of London’s workplace zones”, Applied Geography, Vol. 109, p. 102038.
  • van Dijk, J.T., Lansley, G. and Longley, P.A. (2021), “Using linked consumer registers to estimate residential moves in the United Kingdom”, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 184 No. 4, pp. 1452–1474.