Wadud, Z orcid.org/0000-0003-2692-8299 and Chen, D (2018) Congestion impacts of shopping using vehicle tracking data. Journal of Transport Geography, 70. pp. 123-130. ISSN 0966-6923
Abstract
Shopping and retail trade play an important role in the economy, yet shopping activities and associated on-street parking and disruptions to traffic could substantially contribute to congestion in the megacities of the developing and emerging countries. This research investigates and quantifies the effects of shopping and related road-side frictions and disruptions on congestion in a city. We make use of minute by minute GPS tracking data of vehicles and a unique policy of different shopping closure days in different areas of the city, which allows the separation of shopping related congestion effects from commute and other effects. Results show that average speed increased by 18.5% on weekdays when shopping centres were closed. The differences in speed in the different zones can also be qualitatively related with the density of shopping centres in those zones.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Journal of Transport Geography. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Shopping; retail trade; congestion; GPS tracking; speed; impact assessment |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 May 2018 10:51 |
Last Modified: | 12 Dec 2019 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jtrangeo.2018.05.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130359 |
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