Assessment of the Road Traffic Air Pollution in Urban Contexts: A Statistical Approach

Concettina Marino, Antonino Nucara, Maria Francesca Panzera and Matilde Pietrafesa
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Concettina Marino: Department of Civil, Energy, Environmental and Material Engineering (DICEAM), “Mediterranea” University of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89122 Reggio Calabria, Italy
Antonino Nucara: Department of Civil, Energy, Environmental and Material Engineering (DICEAM), “Mediterranea” University of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89122 Reggio Calabria, Italy
Maria Francesca Panzera: Department of Civil, Energy, Environmental and Material Engineering (DICEAM), “Mediterranea” University of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89122 Reggio Calabria, Italy
Matilde Pietrafesa: Department of Civil, Energy, Environmental and Material Engineering (DICEAM), “Mediterranea” University of Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89122 Reggio Calabria, Italy

Sustainability, 2022, vol. 14, issue 7, 1-16

Abstract: In the article, a statistical approach to the assessment of the emission rates discharged by road traffic in a spatial context is proposed. It exploits the ‘yearly average vehicle’, an indicator representing the pollutant emission rate of the average vehicle belonging to a specific category, considering the statistical variability of most of the involved traffic parameters: the vehicle speed and mileage travelled in the considered time. 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. In addition, they can also be exploited by researchers when prediction analyses are to be performed.

Keywords: road traffic; air pollution assessment; emission factors; statistical approach; transport policy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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