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Incorporating online shopping into travel demand modelling: challenges, progress, and opportunities

Title: Incorporating online shopping into travel demand modelling: challenges, progress, and opportunities
Authors: Suel, E
Polak, J
Item Type: Journal Article
Abstract: There is a large body of literature, spanning multiple disciplines, concerned with the relationship between traditional (physical) shopping and associated travel behaviour. However, despite the recent rapid growth of digital retailing and online shopping, the impact on travel behaviour remain poorly understood. Although the issue of the substitution and complementarity between conventional and virtual retail channels has been extensively explored, few attempts have been made to extend this work so as to incorporate virtual retail channels into modelling frameworks that can link shopping and mobility decisions. Here, we review the existing literature base with a focus on most relevant dimensions for personal mobility. How online activity can be incorporated into operational transport demand models and benefits of such effort are discussed. Existing frameworks of shopping demand are flexible and can, in principle, be extended to incorporate virtual shopping and the associated additional complexities. However, there are significant challenges associated with lack of standard ontologies for crucial concepts and insufficiencies in traditional data collection methods. Also, supply-side questions facing businesses and policy-makers are changing as retailing goes through a digital transformation. Opportunities and priorities need to be defined for future research directions for an assessment of existing tools and frameworks.
Issue Date: 3-Sep-2018
Date of Acceptance: 12-Sep-2017
URI: http://hdl.handle.net/10044/1/50877
DOI: https://dx.doi.org/10.1080/01441647.2017.1381864
ISSN: 0144-1647
Publisher: Taylor & Francis (Routledge)
Start Page: 576
End Page: 601
Journal / Book Title: Transport Reviews
Volume: 38
Issue: 5
Copyright Statement: © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
EPSRC
Funder's Grant Number: EP/I038837/1
EP/I038837/1
Keywords: Science & Technology
Technology
Transportation
Transport planning
demand models
online shopping
e-commerce
TRIP-CHAINING BEHAVIOR
DEPARTURE-TIME CHOICE
INFLUENCING DESTINATION CHOICE
SPATIAL-INTERACTION-MODELS
STORE CHOICE
IN-STORE
CHANNEL CHOICE
STATED PREFERENCES
DECISION-MAKING
INFORMATION AGE
1205 Urban And Regional Planning
1507 Transportation And Freight Services
Logistics & Transportation
Publication Status: Published
Online Publication Date: 2017-09-26
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering
Faculty of Medicine
Epidemiology, Public Health and Primary Care



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