Air Pollution Mitigation in Metropolitans Using System Dynamics Approach

摘要

Searching and identifying capable policies for mitigating air pollution in metropolitans has always been a serious concern due to its complexity for policy makers to reduce the effects of air pollution. Governments can play a crucial role in establishing effective policies in order to reduce the air pollution. This research investigates the fundamental variables affecting air pollution and also evaluates applicable policies to mitigate air pollution in Mexico City as a case study using system dynamics simulation modelling. In this study, the three important considered policies are 1) tax on Industries that pollutes the air, 2) utilizing renewable energy as a necessity, and 3) the development of public transportation system All variables and policies are selected with sustainable development perspective. We propose the simulation modeling by utilizing variables affecting air pollution and the selected policy. As the result of simulation shows in this study, the development of public transportation system is the most applicable and reliable policy in mitigating air pollution in Mexico City and CO_2 emission is considered as the key variable in air pollution amplification. At the end, a substantial decrease in air pollution amount has been observed due to applying the selected policy within 20 year horizon.