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Beyond retail: New ways of classifying UK shopping and consumption spaces

Author

Listed:
  • Les Dolega

    (University of Liverpool, UK)

  • Jonathan Reynolds

    (University of Oxford, UK)

  • Alex Singleton
  • Michalis Pavlis
Abstract
Early attempts to classify shopping activity often took a relatively simple approach, largely driven by the lack of reliable data beyond fascia name and retail outlet counts by centre. There seems to be a consensus amongst contemporary scholars, commercial research consultancies and retailers that more comprehensive classifications would generate better-informed debate on changes in the urban economic landscape, as well as providing the basis for a more effective comparison of retail centres across time and space, particularly given the availability of new data sources and techniques and in the context of the transformational changes presently affecting the retail sector. This paper seeks to demonstrate the interrelationship between supply and demand for retailing services by integrating newly available data sources within a rigorously specified classification methodology. This in turn provides new insight into the multidimensional and dynamic taxonomy of consumption spaces within Great Britain. First, such a contribution is significant in that it moves debate within the literature past simple linear scaling of retail centre function to a more nuanced understanding of multiple functional forms; and second, in that it provides a nationally comparative and dynamic framework through which the evolution of retail structures can be evaluated. Using non-hierarchical clustering techniques, the results are presented in the form of a two-tier classification with 5 distinctive ‘coarse’ clusters and 15 more detailed and nested sub-clusters. The paper concludes that more nuanced and dynamic classifications of this kind can help deliver more effective insights into changing role of retailing and consumer services in urban areas across space and through time and will have implications for a variety of stakeholders.

Suggested Citation

  • Les Dolega & Jonathan Reynolds & Alex Singleton & Michalis Pavlis, 2021. "Beyond retail: New ways of classifying UK shopping and consumption spaces," Environment and Planning B, , vol. 48(1), pages 132-150, January.
  • Handle: RePEc:sae:envirb:v:48:y:2021:i:1:p:132-150
    DOI: 10.1177/2399808319840666
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    References listed on IDEAS

    as
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    6. Matthias Schonlau, 2002. "The clustergram: A graph for visualizing hierarchical and nonhierarchical cluster analyses," Stata Journal, StataCorp LP, vol. 2(4), pages 391-402, November.
    7. Dolega, Les & Pavlis, Michalis & Singleton, Alex, 2016. "Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 78-90.
    8. Evgenia Dimitriadou & Sara Dolničar & Andreas Weingessel, 2002. "An examination of indexes for determining the number of clusters in binary data sets," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 137-159, March.
    9. Neil Wrigley & Les Dolega, 2011. "Resilience, Fragility, and Adaptation: New Evidence on the Performance of UK High Streets during Global Economic Crisis and its Policy Implications," Environment and Planning A, , vol. 43(10), pages 2337-2363, October.
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    Cited by:

    1. Minjin Lee & Hangil Kim & SangHyun Cheon, 2021. "A Network Approach to Revealing Dynamic Succession Processes of Urban Land Use and User Experience," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    2. O'Driscoll, Conor & Crowley, Frank & Doran, Justin & McCarthy, Nóirín, 2022. "Retail sprawl and CO2 emissions: Retail centres in Irish cities," Journal of Transport Geography, Elsevier, vol. 102(C).
    3. Leigh Sparks, 2021. "Towns, High Streets and Resilience in Scotland: A Question for Policy?," Sustainability, MDPI, vol. 13(10), pages 1-14, May.

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