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Academic Journal of Architecture and Geotechnical Engineering, 2020, 2(1); doi: 10.25236/AJAGE.020106.

Urban Public Space Optimization Based on TOD Model--Reflections on Urban Public Space Construction Caused by the New Coronavirus


Yonggang Ren, Chenfan Niua, † and Wentao Ma

Corresponding Author:
Yonggang Ren

North China University of Technology Art and Architecture School, China
[email protected]
† Both authors contribute equally to this work.


Recently, COVID-19 has spread all over the world, which makes us realize that emerging diseases have become an increasing risk, which makes the topic of virus and urban construction more and more concerned. The city's high-density space and high-density population characteristics have become a highly infectious medium of the virus. The severity of the epidemic is far beyond that of 2003.The speed of comprehensive construction of urban public health in China lags behind the speed of rapid growth of urban population, and the emergence of the virus deepens people's attention to urban public health facilities, making urban construction conform to the current situation of urbanization as much as possible. Good urban public space construction can not only make residents enjoy the corresponding service facilities more conveniently and quickly, but also improve the physical quality of residents, so as to play a good role in the protection of influenza. From the perspective of TOD mode, this paper will introduce the principle of urban public space optimization and the necessity of public space construction in TOD mode, so as to put forward the corresponding optimization analysis of urban public space, in order to reduce the impact of COVID-19 or other influenza on urban construction


TOD, city landscape, COVID-19

Cite This Paper

Yonggang Ren, Chenfan Niua and Wentao Ma. Urban Public Space Optimization Based on TOD Model--Reflections on Urban Public Space Construction Caused by the New Coronavirus. Academic Journal of Architecture and Geotechnical Engineering (2020) Vol. 2, Issue 1: 36-43. https://doi.org/10.25236/AJAGE.020106.


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