Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India

Cities are the economic hubs of any country and their production efficiency increases with size and density. However, the rapid spread of COVID-19 in almost all the major cities has raised several questions on the efficacy of urban densification. The objective of this paper is to understand this dyn...

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Autores principales:	Sudha Panda, S.S. Ray
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Density Street crowding Indoor crowding COVID-19 incidence rate Population Urbanization. City and country HT361-384 Political institutions and public administration (General) JF20-2112
Acceso en línea:	https://doaj.org/article/278b492afe45447d8eaa8a3a13d1a35d
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spelling	oai:doaj.org-article:278b492afe45447d8eaa8a3a13d1a35d2021-11-26T04:30:36ZExploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India2226-585610.1016/j.jum.2021.08.002https://doaj.org/article/278b492afe45447d8eaa8a3a13d1a35d2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2226585621000728https://doaj.org/toc/2226-5856Cities are the economic hubs of any country and their production efficiency increases with size and density. However, the rapid spread of COVID-19 in almost all the major cities has raised several questions on the efficacy of urban densification. The objective of this paper is to understand this dynamic interplay between crowding and virus incidence. The research seeks to explain the impact of crowding parameters (population, net and gross density, street crowding, indoor crowding) on the spread of the contagion, together with the confounding explanatory variables (government policies, socioeconomic and environmental characteristics). The study is based on two metropolitan cities of India, namely Mumbai and Bengaluru, which are the hotspots of the infection. At a time when there is a huge debate of compact cities versus sprawling cities, the results are favorable towards densification as the study reveals that other crowding variables have a much higher correlation with the infection transmission than density. In fact, density follows a sub-linear relationship with transmission rate and after a threshold density; the transmission rate is almost independent of the population density. The findings show that contrary to popular belief, dense cities are resilient to pandemics.Sudha PandaS.S. RayElsevierarticleDensityStreet crowdingIndoor crowdingCOVID-19 incidence ratePopulationUrbanization. City and countryHT361-384Political institutions and public administration (General)JF20-2112ENJournal of Urban Management, Vol 10, Iss 4, Pp 345-356 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Density Street crowding Indoor crowding COVID-19 incidence rate Population Urbanization. City and country HT361-384 Political institutions and public administration (General) JF20-2112
spellingShingle	Density Street crowding Indoor crowding COVID-19 incidence rate Population Urbanization. City and country HT361-384 Political institutions and public administration (General) JF20-2112 Sudha Panda S.S. Ray Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India
description	Cities are the economic hubs of any country and their production efficiency increases with size and density. However, the rapid spread of COVID-19 in almost all the major cities has raised several questions on the efficacy of urban densification. The objective of this paper is to understand this dynamic interplay between crowding and virus incidence. The research seeks to explain the impact of crowding parameters (population, net and gross density, street crowding, indoor crowding) on the spread of the contagion, together with the confounding explanatory variables (government policies, socioeconomic and environmental characteristics). The study is based on two metropolitan cities of India, namely Mumbai and Bengaluru, which are the hotspots of the infection. At a time when there is a huge debate of compact cities versus sprawling cities, the results are favorable towards densification as the study reveals that other crowding variables have a much higher correlation with the infection transmission than density. In fact, density follows a sub-linear relationship with transmission rate and after a threshold density; the transmission rate is almost independent of the population density. The findings show that contrary to popular belief, dense cities are resilient to pandemics.
format	article
author	Sudha Panda S.S. Ray
author_facet	Sudha Panda S.S. Ray
author_sort	Sudha Panda
title	Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India
title_short	Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India
title_full	Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India
title_fullStr	Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India
title_full_unstemmed	Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India
title_sort	exploring urban dynamics of crowding with covid-19 incidence a case study of mumbai and bengaluru city in india
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/278b492afe45447d8eaa8a3a13d1a35d
work_keys_str_mv	AT sudhapanda exploringurbandynamicsofcrowdingwithcovid19incidenceacasestudyofmumbaiandbengalurucityinindia AT ssray exploringurbandynamicsofcrowdingwithcovid19incidenceacasestudyofmumbaiandbengalurucityinindia
_version_	1718409829437931520

Exploring urban dynamics of crowding with COVID-19 incidence A case study of Mumbai and Bengaluru city in India

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