Document Type : Research Article
Authors
1
PhD student in Industrial Management - Faculty of Management and Accounting - Islamic Azad University, Qazvin branch - Qazvin - Iran
2
Department of Industrial Management - Faculty of Management and Accounting - Islamic Azad University, Qazvin branch - Qazvin - Iran
3
Assistant Professor, Faculty of Management and Accounting, Qazvin Branch, Islamic Azad University, Qazvin, Iran
10.22067/geoeh.2023.83939.1405
Abstract
In response to the Covid-19 pandemic, governments around the world are seeking to provide a solution in line with crisis management to reduce the emission of environmental indicators of sustainable urban development and pollutants from traffic sources. Therefore, it was decided to examine the changes in air pollutants and traffic volume as one of the subsets of the environmental index of sustainable urban development during the covid-19 epidemic and compare it with the pre-epidemic period in the period of 01/11/2016 to be reviewed by 29/12/1400. First, the pollutant data collection from eight big cities of Iran: Tehran, Arak, Shiraz, Isfahan, Mashhad, Karaj, Ahvaz and Tabriz, are processed and cleaned. After selecting features with particle swarm optimization algorithm, machine learning methods are applied. The results show that the same increasing or decreasing pattern of pollutant concentration during the covid-19 period compared to before is not seen in all metropolitan cities. So the effect of restrictions on the concentration of pollutants in different cities is different. Therefore, in order to manage this crisis as well as the air pollution crisis that can play a significant role in the spread of disease, it is necessary to prepare a model of traffic restrictions specific to that situation for each urban location. Also, the results show that the air quality index in most of the big cities of Iran has not only not decreased, but has increased. Therefore, detailed measures should be taken to manage any similar crisis in the future in order to reduce the concentration of pollutants and improve the air quality index according to the geographical location of each city.
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