Ye, Z orcid.org/0000-0001-5190-5211, Clarke, G orcid.org/0000-0003-4640-8303 and Newing, A orcid.org/0000-0002-3222-6640 (2021) Estimating small-area demand of urban tourist for groceries: The case of Greater London. Journal of Retailing and Consumer Services, 58. 102263. ISSN 0969-6989
Abstract
Tourist retail demand within urban areas brings both opportunities and challenges to the local economy. Taking Greater London as the study area, this paper integrates conventional statistics and survey datasets with novel crowdsourcing big data sources to identify and estimate four types of tourist grocery demand at the small-area scale: travellers staying with Airbnb, tourists using traditional commercial accommodation, guests staying with relatives or friends and day trip visitors. Based on this combined tourist retail demand layer we show the spatial variations at the small-area level and as an illustration of the demand uplift, we estimate additional grocery expenditure that is associated with this tourist demand. Thus, the paper indicates the neighbourhoods with significant grocery demand uplift from tourist stays. We argue that the new retail demand layer has tremendous potential to be used as an additional input to retail location modelling tools to support new store revenue estimation and store performance evaluation within the grocery retail sector.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | © 2020 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Journal of Retailing and Consumer Services. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Small-area demand estimation; Grocery retail; Urban tourist; Airbnb; Greater London |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Aug 2020 11:20 |
Last Modified: | 26 May 2022 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jretconser.2020.102263 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164550 |