Integrated transportation and land use regression modelling for nitrogen dioxide mitigation
Transportation Research Part D: Transport and Environment
; 115, 2023.
Article
in English
| Scopus | ID: covidwho-2240334
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. © 2022 Elsevier Ltd
Ireland; Air pollution; Diesel engines; Diesel fuels; Fleet operations; Land use; Nitrogen oxides; Regression analysis; Taxation; Vehicles; Emissions rates; Integrated transportations; Land use regression; Land-use regression models; Mitigation; Nitrogen dioxide (NO2); Transport sectors; Vehicle fleets; Vehicle types; concentration (composition); COVID-19; integrated approach; land use change; nitrogen dioxide; transportation system; Carbon dioxide; Model; nitrogen dioxide (NO2); Vehicle type
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Transportation Research Part D: Transport and Environment
Year:
2023
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS