Document Type : *
Authors
- Shiva Ghafari Jabari 1
- Abass Yazdanfar 1
- Mohamad Ali Khan Mohammadi 1
- Homayoun Sadeghi Bazargani 2
- Mostafa Farah Bakhsh 3
1 Architecture Department, Iran University of Science and Technology, Tehran, IRAN
2 Road Traffic Injury Prevention Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
3 Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
Abstract
The COVID-19 crisis has changed the face of cities by preventing most urban activities. In this regard, scientists studied the effect of various environmental factors on the infection of COVID-19 to control its outbreak in the urban context. While the factors measured were limited to the statistical data or literature on the other diseases, it seems that public opinion is determinant here because they constantly interact with their living environment and are more aware of the threatening factors surrounding them. This study aims to identify the factors not considered in the literature but found impressive by the public. Therefore, we conduct a survey and compare its results with the factors studied in the literature. Finally, we introduced some new variables to consider in future studies. The results showed some features of the built environment, the socio-cultural factors, and socio-anomalies were not discussed in the literature anymore. For the socio-cultural subject, the measurement of the impact of personal and social hygiene and some general behavior was recommended as well as the impact of the peddling of the socio-anomalies category. Also, in addition to the built environment factors studied, some of the city uses that met constantly by the public (e.g., bakeries), some features of the transport networks (e.g., sidewalks), and some urban facilities (e.g., benches) was suggested to be studied in the future studies. Interestingly, we introduced some other urban features that were generally not considered in urban planning. Finally, we proposed some strategies to reduce the effect of each factor.
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