The Relationship between Urban Density and COVID Spreading, a case study of Wuhan
By: Yixuan Ouyang
Publisher: [publisher not identified]
Published: 2022
Place of publication: [New York, N.Y.?]
Language: eng
Description: By 2021, the COVID-19 virus has swept through more than 200 countries worldwide, with enormous impacts on the functioning of cities and the health of people. From the perspective of urban development, the rapid growth of cities over the past 100 years has led to an increase in the density of the world's largest cities, which has resulted in unparalleled economic benefits. The relationship between urban density and the spread of COVID virus is unclear, as high-density cities may become a vector for rapid spread of the virus in an epidemic, but at the same time, higher urban density provides better public services and resources for people's health to stop the rapid spread of the virus. In this paper, we try to construct an OLS model from a quantitative perspective utilizing data from satellite image of ESA and Wuhan Census 2020, taking Wuhan city as an example, and investigate the relationship between urban density and COVID virus transmission from a time series-based panel vector autoregression angle.
Notes: Urban Density; COVID-19; OLS; ESA World Cover Project 2020; Wuhan Census 2020.

Department: Urban Planning.

Thesis advisor: Ryan Devlin.

Thesis (M.S.)--Columbia University, 2022.