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Understanding mobility dynamics using urban functions during the COVID-19 pandemic: comparison of pre-and post-new normal eras

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  • Gizem Hayrullahoğlu

    (Gazi University)

  • Çiğdem Varol

    (Gazi University)

Abstract

Several changes in urban mobility patterns have been observed in response to COVID-19 since March 2020 when the World Health Organization (WHO) declared COVID-19 a pandemic. However, whether mobility changes are entirely pandemic related has not been investigated for each urban function. This paper evaluates the potential determinants of urban mobility changes for six different urban functions during the COVID-19 pandemic via community mobility data collected by Google. Using artificial neural networks (ANN), the dynamics that affect mobility changes in the following urban functions; grocery/pharmacy, residential, parks, retail/recreation, transport stations, and workplaces, were analysed for Çankaya, one of the densest districts in the capital of Turkey. Results of the prediction model show that responses to the pandemic differed considerably by urban function. Before the new normal era, changes in urban mobility trends were strongly dependent on the pandemic as a public health threat and represented by restrictive government measures. However, impacts of the pandemic on intracity mobility decreased in the new normal era when rules were relaxed. These results are useful for developing proactive policies to ensure rapid post-pandemic recovery in urban economics and planning.

Suggested Citation

  • Gizem Hayrullahoğlu & Çiğdem Varol, 2022. "Understanding mobility dynamics using urban functions during the COVID-19 pandemic: comparison of pre-and post-new normal eras," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1087-1109, October.
    • Handle: RePEc:spr:apjors:v:6:y:2022:i:3:d:10.1007_s41685-022-00247-6
    DOI: 10.1007/s41685-022-00247-6
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    References listed on IDEAS

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    1. Fan, Jingting & Tang, Lixin & Zhu, Weiming & Zou, Ben, 2018. "The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce," Journal of International Economics, Elsevier, vol. 114(C), pages 203-220.
    2. Mendolia, Silvia & Stavrunova, Olena & Yerokhin, Oleg, 2021. "Determinants of the community mobility during the COVID-19 epidemic: The role of government regulations and information," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 199-231.
    3. Cavalcante da Silva, Gabriela & Monteiro de Almeida, Fernanda & Oliveira, Sabrina & Wanner, Elizabeth F. & Bezerra, Leonardo C.T. & Takahashi, Ricardo H.C. & Lima, Luciana, 2021. "Comparing community mobility reduction between first and second COVID-19 waves," Transport Policy, Elsevier, vol. 112(C), pages 114-124.
    4. Edward Coulson & Steven Brakman & Alessandra Faggian & Yasusada Murata, 2021. "COVID‐19 and regional economies: An introduction to the special issue," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 691-695, September.
    5. Dominic Edelmann & Konstantinos Fokianos & Maria Pitsillou, 2019. "An Updated Literature Review of Distance Correlation and Its Applications to Time Series," International Statistical Review, International Statistical Institute, vol. 87(2), pages 237-262, August.
    6. Jing Xie & Shixian Luo & Katsunori Furuya & Dajiang Sun, 2020. "Urban Parks as Green Buffers During the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    7. Sébastien Goudeau & Camille Sanrey & Arnaud Stanczak & Antony Manstead & Céline Darnon, 2021. "Why lockdown and distance learning during the COVID-19 pandemic are likely to increase the social class achievement gap," Nature Human Behaviour, Nature, vol. 5(10), pages 1273-1281, October.
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    Cited by:

    1. Tüzin Baycan & Suat Tuysuz, 2022. "Special Feature on social, economic, and spatial impacts of COVID-19 pandemic in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1041-1051, October.

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    More about this item

    Keywords

    Community mobility; COVID-19; Urban functions; Artificial neural network;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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