Investigating the environmental status of air pollution in Tehran using AHP-DPSIR combined model

Authors

1 Climate Change and Health Research Center, Dezful University of Medical Sciences, Dezful, Khuzestan, Iran

2 Faculty of Environment, University of Tehran, Tehran, Iran

Abstract
One of the problems of management programs to control and reduce air pollution in Iran, especially in Tehran, is the lack of prioritization and the level of effectiveness of executive steps in order to focus human and financial resources. Therefore, step-by-step performance considering executive priority is a suitable solution to achieve this goal. Using the DPSIR framework in the SOE study of Tehran air pollution provides a systematic and comprehensive method to understand and address this critical issue. It not only helps in diagnosing the problem, but also in formulating and evaluating effective solutions, thereby contributing to the sustainable development of the city. The AHP-DPSIR hybrid model is a suitable model for finding the prioritization of environmental programs with a comprehensive and managerial approach, considering uncertainty with a hierarchical structure. In this study, responses to the improvement of pressure factors, stimulus, current situation and effects were investigated and compared in a hierarchical format, and at the end, their preference level was obtained. Development and improvement of public transportation, improvement of fuel quality, improvement of vehicle emission standard, technical examination of vehicle and finally urban traffic management were recognized as the implementation steps of Tehran's air pollution control and reduction program. The model developed in this study is suggested for use in similar cases, especially in developing countries that face the same management problem as Iran. This model has high flexibility and accuracy in prioritization with a comprehensive approach.

Keywords


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  • Receive Date 28 January 2024
  • Revise Date 20 February 2024
  • Accept Date 26 February 2024
  • First Publish Date 26 February 2024
  • Publish Date 22 December 2023