Methodologies for estimating emissions from road transport and comparison with the inventory air emissions (INEMAR). The case of Pavia Province
Abstract
According to the actual portrait of emissions (Arpa Lombardia), it is necessary to improve the quality of life and the environment, minimizing emissions into the atmosphere from this sector, implementing specific actions by society and institutions. The population, the population density and the fragmentation of urban centres influence the demand for transport which consequently influences the quantity of emissions to which the populations are exposed. This study focuses on the area of the province of Pavia, one of the most inadequate provinces in terms of air quality in Lombardy Region comparing urban settlements, road system and emissions. Considering the 2019 emission picture from INEMAR (INventory AiR EMissions - Lombardy Region), road transport is responsible for about 13% and residential buildings for about 10 % of total CO₂ equivalent emissions in the province of Pavia. In the paper authors aim to evaluate the inter-scalar relation between Province scale and Municipality scale according to the following analysis: 1) Search regression equation between “settlements” and “pollution” 2) Search regression equation between “road soil occupancy” and “pollution”. The emission data resulting from the INEMAR algorithms are compared with the land use’s geographical data present on the open-source GIS cartography and on official data (ISTAT and Lombardy Region). The result should highlight in an “emission based” analysis of land use, the opportunities of integrated mobility new systems.
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