Marino, C.; Nucara, A.; Panzera, M.F.; Pietrafesa, M. Assessment of the Road Traffic Air Pollution in Urban Contexts: A Statistical Approach. Sustainability 2022, 14, 4127, doi:10.3390/su14074127.
Marino, C.; Nucara, A.; Panzera, M.F.; Pietrafesa, M. Assessment of the Road Traffic Air Pollution in Urban Contexts: A Statistical Approach. Sustainability 2022, 14, 4127, doi:10.3390/su14074127.
Marino, C.; Nucara, A.; Panzera, M.F.; Pietrafesa, M. Assessment of the Road Traffic Air Pollution in Urban Contexts: A Statistical Approach. Sustainability 2022, 14, 4127, doi:10.3390/su14074127.
Marino, C.; Nucara, A.; Panzera, M.F.; Pietrafesa, M. Assessment of the Road Traffic Air Pollution in Urban Contexts: A Statistical Approach. Sustainability 2022, 14, 4127, doi:10.3390/su14074127.
Abstract
In the article a statistical approach to the assessment of the emission rates discharged by the road traffic in a spatial context is proposed. It exploits an indicator, the Yearly Average Vehicle, representing the pollutant emission rate of the average vehicle belonging to a specific category, and considers the statistical variability of most of the involved traffic parameters: vehicle speed and mileage travelled in the considered time period. Finally, indicators, assessing both the most probable value among the possible emission rates and the extent of their variability range, are proposed. They may also be used to underpin decision making-processes, when the effects of different policies addressing air pollution issues, are to be evaluated. Therefore, they are suitable for the analysis supporting urban planning activities, with a view to addressing and mitigating the effects and the consequences of pollution due to the transportation sector of the urban context.
Keywords
Road Traffic; Air Pollution Assessment; Emission factors; Statistical Approach; Transport Policy
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.