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Congestion impacts of shopping using vehicle tracking data

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  • Wadud, Zia
  • Chen, Danlei

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.

Suggested Citation

  • Wadud, Zia & Chen, Danlei, 2018. "Congestion impacts of shopping using vehicle tracking data," Journal of Transport Geography, Elsevier, vol. 70(C), pages 123-130.
    • Handle: RePEc:eee:jotrge:v:70:y:2018:i:c:p:123-130
    DOI: 10.1016/j.jtrangeo.2018.05.001
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    References listed on IDEAS

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    1. Schmöcker, Jan-Dirk & Fonzone, Achille & Quddus, Mohammed & Bell, Michael G.H., 2006. "Changes in the frequency of shopping trips in response to a congestion charge," Transport Policy, Elsevier, vol. 13(3), pages 217-228, May.
    2. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    3. Orit Rotem-Mindali & Jesse Weltevreden, 2013. "Transport effects of e-commerce: what can be learned after years of research?," Transportation, Springer, vol. 40(5), pages 867-885, September.
    4. Jing Li & Pingyu Zhang & Kevin Lo & Meng Guo & Mark Wang, 2015. "Reducing Carbon Emissions from Shopping Trips: Evidence from China," Energies, MDPI, vol. 8(9), pages 1-15, September.
    5. Choudhury, Charisma F. & Ayaz, Sayeeda Bint, 2015. "Why live far? — Insights from modeling residential location choice in Bangladesh," Journal of Transport Geography, Elsevier, vol. 48(C), pages 1-9.
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    Cited by:

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    3. Royal, Diane & Roseman, Sharon R., 2021. "Co-passengering and the gendering of a mobile ferry space," Journal of Transport Geography, Elsevier, vol. 92(C).

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