IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i17p9910-d628363.html
   My bibliography  Save this article

Interdependencies of Urban Behavioral Dynamics Whilst COVID-19 Spread

Author

Listed:
  • Sanghyeon Ko

    (Department of Transportation Planning, Metropolitan Washington Council of Governments, Washington, DC 20002, USA)

  • Dongwoo Lee

    (Department of Urban Policy and Administration, Incheon National University, Incheon 22012, Korea)

Abstract

The outbreak of novel coronavirus disease 2019 (COVID-19) caused many consequences in almost all aspects of our lives. The pandemic dramatically changes people’s behavior in urban areas and transportation systems. Many studies have attempted to analyze spatial behavior and to present analysis data visually in the process of spreading COVID-19 and provided limited temporal and geographical perspectives. In this article, the behavioral changes in urban areas and transportation systems were analyzed throughout the U.S.A. while the COVID-19 spread over 2020. Specifically, assuming the characteristics are not repetitive over time, temporal phases were proposed where spikes or surges of confirmed cases are noticed. The interdependencies between population, mobility, and additional behavioral data were explored at the county level by adopting the machine learning approaches. As a result, interdependencies with the COVID-19 cases were identified differently by phase. It appeared to have a solid relationship with population size at all phases. Furthermore, it revealed racial characteristics, residential types, and vehicle mile traveled ratio in the urban and rural areas had a relationship with confirmed cases with different importance by phase. Although other short-term analyses were also conducted in terms of the COVID-19, this article is considered more legitimate as it provides dynamic relationships of urban elements by Phase at the county level. Moreover, it is expected to be encouraging and beneficial in terms of phase-driven transportation policy preparedness against a possible forthcoming pandemic crisis.

Suggested Citation

  • Sanghyeon Ko & Dongwoo Lee, 2021. "Interdependencies of Urban Behavioral Dynamics Whilst COVID-19 Spread," Sustainability, MDPI, vol. 13(17), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9910-:d:628363
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/17/9910/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/17/9910/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hensher, David A. & Wei, Edward & Beck, MatthewJ. & Balbontin, Camila, 2021. "The impact of COVID-19 on cost outlays for car and public transport commuting - The case of the Greater Sydney Metropolitan Area after three months of restrictions," Transport Policy, Elsevier, vol. 101(C), pages 71-80.
    2. Rebecca Brough & Matthew Freedman & David C. Phillips, 2021. "Understanding socioeconomic disparities in travel behavior during the COVID‐19 pandemic," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 753-774, September.
    3. Kevin Linka & Mathias Peirlinck & Francisco Sahli Costabal & Ellen Kuhl, 2020. "Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 23(11), pages 710-717, August.
    4. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban Density and COVID-19," IZA Discussion Papers 13440, Institute of Labor Economics (IZA).
    5. Parviez Hosseini & Susanne H Sokolow & Kurt J Vandegrift & A Marm Kilpatrick & Peter Daszak, 2010. "Predictive Power of Air Travel and Socio-Economic Data for Early Pandemic Spread," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-8, September.
    6. Callum Jones & Thomas Philippon & Venky Venkateswaran, 2021. "Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home [A simple planning problem for covid-19 lockdown]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5188-5223.
    7. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban density and Covid-19," LSE Research Online Documents on Economics 108484, London School of Economics and Political Science, LSE Library.
    8. Beck, Matthew J. & Hensher, David A. & Wei, Edward, 2020. "Slowly coming out of COVID-19 restrictions in Australia: Implications for working from home and commuting trips by car and public transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    9. Caitlin S. Brown & Martin Ravallion, 2020. "Inequality and the Coronavirus: Socioeconomic Covariates of Behavioral Responses and Viral Outcomes Across US Counties," NBER Working Papers 27549, National Bureau of Economic Research, Inc.
    10. Felipe Carozzi & Sandro Provenzano & Sefi Roth, 2020. "Urban density and Covid-19," CEP Discussion Papers dp1711, Centre for Economic Performance, LSE.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richard Florida & Charlotta Mellander, 2022. "The geography of COVID-19 in Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(1), pages 125-150, February.
    2. Rafiq, Rezwana & McNally, Michael G. & Sarwar Uddin, Yusuf & Ahmed, Tanjeeb, 2022. "Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 35-54.
    3. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    4. Neha Deopa & Piergiuseppe Fortunato, 2022. "Language and the cultural markers of COVID-19," Post-Print hal-03665755, HAL.
    5. Ellen, Ingrid Gould & Howland, Renata & Glied, Sherry, 2023. "Demons of density do higher-density environments put people at greater risk of contagious disease?," Journal of Housing Economics, Elsevier, vol. 59(PB).
    6. Gerritse, Michiel, 2022. "COVID-19 transmission in cities," European Economic Review, Elsevier, vol. 150(C).
    7. Mouratidis, Kostas, 2021. "How COVID-19 reshaped quality of life in cities: A synthesis and implications for urban planning," Land Use Policy, Elsevier, vol. 111(C).
    8. Milena Almagro & Joshua Coven & Arpit Gupta & Angelo Orane-Hutchinson, 2020. "Racial Disparities in Frontline Workers and Housing Crowding during COVID-19: Evidence from Geolocation Data," Opportunity and Inclusive Growth Institute Working Papers 37, Federal Reserve Bank of Minneapolis.
    9. Fabio Vanni & David Lambert, 2021. "On the regularity of human mobility patterns at times of a pandemic," Papers 2104.08975, arXiv.org.
    10. Rodríguez-Pose, Andrés & Wang, Han, 2021. "Local institutions and pandemics: City autonomy and the Black Death," CEPR Discussion Papers 16593, C.E.P.R. Discussion Papers.
    11. Perugini, Francesco, 2024. "Local government efficiency and economic growth: The Italian case," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    12. Hung-Ying Chen & Colin McFarlane & Priyam Tripathy, 2024. "Density and pandemic urbanism: Exposure and networked density in Manila and Taipei," Urban Studies, Urban Studies Journal Limited, vol. 61(8), pages 1526-1544, June.
    13. Mello, Marco & Moscelli, Giuseppe, 2022. "Voting, contagion and the trade-off between public health and political rights: Quasi-experimental evidence from the Italian 2020 polls," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1025-1052.
    14. Richard Gearhart & Lyudmyla Sonchak-Ardan & Nyakundi Michieka, 2022. "The efficiency of COVID cases to COVID policies: a robust conditional approach," Empirical Economics, Springer, vol. 63(6), pages 2903-2948, December.
    15. Max Nathan & Henry Overman, 2020. "Will coronavirus cause a big city exodus?," Environment and Planning B, , vol. 47(9), pages 1537-1542, November.
    16. Deopa, Neha & Fortunato, Piergiuseppe, 2022. "Language and the cultural markers of COVID-19," Social Science & Medicine, Elsevier, vol. 301(C).
    17. Sheng, Jaymee & Malani, Anup & Goel, Ashish & Botla, Purushotham, 2022. "JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India?," Journal of Urban Economics, Elsevier, vol. 127(C).
    18. Almagro, Milena & Coven, Joshua & Gupta, Arpit & Orane-Hutchinson, Angelo, 2023. "Disparities in COVID-19 risk exposure: Evidence from geolocation data," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    19. Siew Bee Aw & Bor Tsong Teh & Gabriel Hoh Teck Ling & Pau Chung Leng & Weng Howe Chan & Mohd Hamdan Ahmad, 2021. "The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density," IJERPH, MDPI, vol. 18(12), pages 1-21, June.
    20. Usep Nugraha & Budy P. Resosudarmo & Rus’an Nasrudin, 2023. "Examining the impact of urban compactness on work and social life disruption during COVID-19 pandemic: evidence from Jakarta, Indonesia," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-26, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9910-:d:628363. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.