Development of joint models for channel, store, and travel mode choice: Grocery shopping in London

Esra Suel and John W. Polak

Transportation Research Part A: Policy and Practice, 2017, vol. 99, issue C, 147-162

Abstract: The nature of shopping activity is changing in response to innovation in retailing and the growth in online channels. There is a growing interest from transport researchers, policy makers, marketing and retail businesses in understanding the implications of this change. However, existing tools and techniques developed for analysing behaviour in traditional retail environments do not adequately represent emerging complexities resulting from digital innovation. In this paper, we advance existing destination and mode choice models by incorporating online channels in a unified framework. This is a critical extension to existing transport literature on destination choice which largely ignores online activity. Specifically, we develop discrete choice models using elemental store (including both online and in-store) alternatives for joint choice of channel, store, and travel mode. We demonstrate the use of a widely-accepted consumer panel dataset with minor modifications, for the first time in transport research, together with API based data mining tools that offer great potential for enrichment.

Keywords: Online shopping; Multi-channel shopping; E-commerce; Store choice; Destination and mode choice; Discrete choice modelling (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (19)

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DOI: 10.1016/j.tra.2017.03.009

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