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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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    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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