Articolo in rivista, 2022, ENG, 10.1038/s41893-022-00903-x
Bohm M.; Nanni M.; Pappalardo L.
Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy
Vehicle emissions produce an important share of a city's air pollution, with a substantial impact on the environment and human health. Traditional emission estimation methods use remote sensing stations, missing the full driving cycle of vehicles, or focus on a few vehicles. We have used GPS traces and a microscopic model to analyse the emissions of four air pollutants from thousands of private vehicles in three European cities. We found that the emissions across the vehicles and roads are well approximated by heavy-tailed distributions and thus discovered the existence of gross polluters, vehicles responsible for the greatest quantity of emissions, and grossly polluted roads, which suffer the greatest amount of emissions. Our simulations show that emissions reduction policies targeting gross polluters are far more effective than those limiting circulation based on an uninformed choice of vehicles. Our study contributes to shaping the discussion on how to measure emissions with digital data.
Nature sustainability
Traffic emissions, Fuel consumption, Urban, Congestion, Patterns, Travel
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 468812
Year: 2022
Type: Articolo in rivista
Creation: 2022-06-30 16:35:22.000
Last update: 2022-07-14 15:06:00.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:468812
DOI: 10.1038/s41893-022-00903-x
Scopus: 2-s2.0-85131546854
ISI Web of Science (WOS): 000808429700004