The global pandemic COVID-19 which was started early this year spreading rapidly in developed countries as all well as developing countries of the world. The noticeable fact is that most of the metropolitan cities of the world are severely affected by Corona pandemic and toped in their respective country among the COVID cases. The impact of the metropolitan city on COVID-19 cases, example can be cited around every corner of the world, From Wuhan to New York, Mumbai to Sao Paulo and Moscow to Madrid the Metropolitan cities of the world’s come out as deep-rooted hotspots of novel coronavirus pandemic. Mumbai, Delhi, Chennai, and Kolkata are the leading metropolis in India also leading in COVID-19 cases; it can be explained by their connectivity to the rest of the world by the people and products. Therefore this article aims to summerise the impact of six metropolitan cities on the total COVID-19 cases of their states and try to find out which city have best suited in the concept of the Metropolitanization of COVID-19 cases. Entropy-based TOPSIS methods are applied to compare the dataset of six metropolitan cities of India, and try to find out which city best fitted in the concept of metropolitanization of COVID-19 cases. Seven factors are chosen to analyze the impact of metropolitan cities on COVID-19 cases such as city population, percentage of slum population, number of COVID cases, airport traffic movement, relative humidity, and temperature. Entropy methods applied to weights the criterion for finding which criteria have maximum influence on COVID-19 cases. After that on the basis of Entropy weights, the TOPSIS method has been used to evaluate the dataset of six cities to track down the relative position of cities on the concentration of COVID-19 cases. After comparing the alternatives in TOPSIS method (i.e those six cities), Delhi came in the first position, followed by Mumbai (2nd), Chennai (3rd), Kolkata (4th), Ahmedabad (5th), Hyderabad (6th) based on the concentration of COVID-19 cases in the metropolitan cities.
COVID-19, Metropolitan city, Metropolitanization, Entropy Method, TOPSIS approach
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