Highlights Developed wind sector land use regression model to estimate nitrogen dioxide (NO2) Inclusion of varying vehicle type emission rates an improvement on existing models. Method transferrable to land use regression models that include distance travelled. Application of model to NO2 mitigation strategies also demonstrated. Removal of diesel from public service fleet achieved NO2 reduction of 0.3–1.9 μg/m3.

    Abstract The transport sector has been identified as one of the main contributors to nitrogen dioxide (NO2) pollution in Ireland. This research develops an enhanced Wind Sector Land Use Regression (WS-LUR) model to estimate NO2 concentrations across Ireland, in areas where air pollution monitoring is not available. The model incorporates details of the vehicle fleet breakdown to weight vehicle type flows based on the emission rates of the vehicle type, differentiating routes with varying proportions of heavier emitting vehicles. In 2008, car taxation underwent a significant change from an engine size based system to a carbon dioxide (CO2) emission rate based system resulting in a significant transition towards diesel fuelled vehicles. A mitigation strategy to remove diesel fuelled vehicles from the public service vehicle fleet was tested achieving predicted NO2 reductions in the range of 0.3 μg/m3 to 1.9 μg/m3. The impact of COVID-19 on NO2 concentration levels was also investigated.


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    Titel :

    Integrated transportation and land use regression modelling for nitrogen dioxide mitigation


    Beteiligte:


    Erscheinungsdatum :

    2022-12-10




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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