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Applied spatial modelling for retail planning in tourist resorts

Andy Newing (School of Geography, University of Leeds, Leeds, UK) (Consumer Data Research Centre, University of Leeds, Leeds, UK)
Graham Clarke (School of Geography, University of Leeds, Leeds, UK) (Consumer Data Research Centre, University of Leeds, Leeds, UK)
Martin Clarke (School of Geography, University of Leeds, Leeds, UK) (Consumer Data Research Centre, University of Leeds, Leeds, UK)

International Journal of Retail & Distribution Management

ISSN: 0959-0552

Article publication date: 5 November 2018

Issue publication date: 21 November 2018

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Abstract

Purpose

The purpose of this paper is to demonstrate that applied spatial modelling can inform the planning, delivery and evaluation of retail services, offering improvements over traditional retail impact assessment (RIA), especially within localities which experience seasonal fluctuations in demand.

Design/methodology/approach

The paper first describes a new theoretically informed tourist-based spatial interaction model (SIM) which has been custom-built and calibrated to capture the dynamics of the grocery sector in Cornwall, UK. It tests the power of the model to predict store performance for stores not used in the original calibration process, using client data for a new store development. The model is operationalised for the evaluation of various retail development schemes, demonstrating its contribution across a full suite of location decision making application areas.

Findings

The paper demonstrates that this highly disaggregate modelling framework can provide considerable insight into the local economic and social impacts of new store developments, rarely addressed in the retail location modelling literature.

Practical implications

Whilst SIMs have been widely used in retail location research by the private sector, the paper shows that such a model can have considerable value for public sector retail planning, a sector which seemed to have abandoned such models from the 1980s onwards, replacing them with often very limited and crude RIA.

Originality/value

The ability to review the forecasting capabilities of a model (termed post-investment review) are very rare in academic research. This paper offers new evidence that SIMs can support the RIA process.

Keywords

Citation

Newing, A., Clarke, G. and Clarke, M. (2018), "Applied spatial modelling for retail planning in tourist resorts", International Journal of Retail & Distribution Management, Vol. 46 No. 11/12, pp. 1117-1132. https://doi.org/10.1108/IJRDM-10-2017-0253

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited