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The Effect of the Built Environment on the COVID-19 Pandemic at the Initial Stage: A County-Level Study of the USA

Author

Listed:
  • Chenghe Guan

    (Laboratory of Urban Design and Urban Science, New York University Shanghai, Shanghai 200122, China)

  • Junjie Tan

    (PEAK Urban Programme, University of Oxford, Oxford OX2 6QS, UK)

  • Brian Hall

    (Center for Global Health Equity, New York University Shanghai, Shanghai 200122, China
    New York University School of Global Public Health, New York, NY 10003, USA)

  • Chao Liu

    (Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Ying Li

    (Laboratory of Urban Design and Urban Science, New York University Shanghai, Shanghai 200122, China)

  • Zhichang Cai

    (College of Architecture, Nanjing Tech University, Nanjing 211816, China)

Abstract

The COVID-19 pandemic affected how people interact with the built environment and ways of human habitation are facing significant challenges. However, the existing literature has not adequately addressed how the built environment affected the early prevalence of the pandemic. This research aims to extend the existing literature by relating the initial stage pandemic conditions with more comprehensive measures of the built environment including density, diversity, road network, and accessibility at the county level across the United States and conducting bi-weekly comparisons. We collected infection, death, and mortality data in 3141 counties between 1 March to 8 June 2020 and collected seventeen built environment attributes. Our results show that: (1) Road density and street intersection density were significantly associated with the infection rate; (2) Population density only maintained a positive correlation to the prevalence of COVID-19 during the first two weeks, after which the relationship became negative; and (3) Transit accessibility also contributed significantly to the pandemic and the accessibility of transit-oriented jobs was highly correlated to the infection rate in the first two weeks. The study provides valuable insights for policymakers and stakeholders to adopt resource allocation strategies for context-specific conditions.

Suggested Citation

  • Chenghe Guan & Junjie Tan & Brian Hall & Chao Liu & Ying Li & Zhichang Cai, 2022. "The Effect of the Built Environment on the COVID-19 Pandemic at the Initial Stage: A County-Level Study of the USA," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3417-:d:771192
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    References listed on IDEAS

    as
    1. Zhang, Yahua & Zhang, Anming & Wang, Jiaoe, 2020. "Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 94(C), pages 34-42.
    2. Shima Hamidi & Sadegh Sabouri & Reid Ewing, 2020. "Does Density Aggravate the COVID-19 Pandemic?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(4), pages 495-509, October.
    3. Per Block & Marion Hoffman & Isabel J. Raabe & Jennifer Beam Dowd & Charles Rahal & Ridhi Kashyap & Melinda C. Mills, 2020. "Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world," Nature Human Behaviour, Nature, vol. 4(6), pages 588-596, June.
    4. Jennifer Beam Dowd & Liliana Andriano & David M. Brazel & Valentina Rotondi & Per Block & Xuejie Ding & Yan Liu & Melinda C. Mills, 2020. "Demographic science aids in understanding the spread and fatality rates of COVID-19," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(18), pages 9696-9698, May.
    5. Matthew Palm & Jeff Allen & Bochu Liu & Yixue Zhang & Michael Widener & Steven Farber, 2021. "Riders Who Avoided Public Transit During COVID-19," Journal of the American Planning Association, Taylor & Francis Journals, vol. 87(4), pages 455-469, October.
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