Evaluating the potential of agent-based modelling to capture consumer grocery retail store choice behaviours

Sturley, C, Newing, A orcid.org/0000-0002-3222-6640 and Heppenstall, A orcid.org/0000-0002-0663-3437 (2018) Evaluating the potential of agent-based modelling to capture consumer grocery retail store choice behaviours. International Review of Retail, Distribution and Consumer Research, 28 (1). pp. 27-46. ISSN 0959-3969

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 Informa UK limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in The International Review of Retail, Distribution and Consumer Research on 09 Nov 2017, available online: http://www.tandfonline.com/10.1080/09593969.2017.1397046. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Agent-based modelling, grocery retail, consumer behaviour, spatial interaction model, store choice
Dates:
  • Published: 2018
  • Accepted: 13 October 2017
  • Published (online): 9 November 2017
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)
Funding Information:
FunderGrant number
ESRCRES-061-25-0030
Depositing User: Symplectic Publications
Date Deposited: 09 Nov 2017 12:47
Last Modified: 24 Apr 2018 15:24
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.1080/09593969.2017.1397046

Download

Accepted Version


Embargoed until: 9 May 2019

Filename: Sturley et al. (2017) Evaluating the potential of agent-based modelling PrePrint.pdf

Share / Export

Statistics