BibTex format
@article{Schroeder:2024:10.1016/j.aeaoa.2024.100293,
author = {Schroeder, AK and Woodward, H and Le, Cornec CMA and Proust, T and Benie, PJ and Fan, S and Aristodemou, E and Jones, RL and Linden, PF and de, Nazelle A and Boies, AM and Stettler, MEJ},
doi = {10.1016/j.aeaoa.2024.100293},
journal = {Atmospheric Environment: X},
title = {Vehicle emission models alone are not sufficient to understand full impact of change in traffic signal timings},
url = {http://dx.doi.org/10.1016/j.aeaoa.2024.100293},
volume = {24},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Few studies have considered the real-world impact of changes in traffic signal timings on air pollution and pedestrian exposure with most only drawing their conclusion from vehicle emission models alone. Here, we consider two distinct cycle timings at a junction in London, UK, model the impact using a traffic microsimulation and a NOx emissions model, and compare these results with NOx and other air pollution measurements collected during a two-week field study at the junction. Our models predict that extending the cycle time leads to a 23% decrease in NOx emissions within a 15 m radius of the junction itself. When the wind direction was such that our sensors were downwind of the junction a 21% decrease in traffic and background-adjusted NOx concentrations were seen, suggesting that the intervention was successful. However, when the sensors were upwind of the junction, we observed an increase of 23% in adjusted NOx concentrations. Similar patterns were found for the other pollutants NO2, lung deposited surface area, black carbon and CO2 we measured. This indicates that meteorology was by far the greatest determinant of roadside concentrations during our two-week study period. Looking at pedestrian exposure for pedestrians waiting to cross the road, we found that their NOx exposure increased by 46% as waiting times to cross the road increased and that potential small reductions in air pollution were offset by increases in waiting times on the main road. The study demonstrates the need to go beyond assessing the impact of hyper-local traffic interventions on vehicle emissions. Real-world trials over extended periods are required to evaluate the impact of meteorology and changes to air pollution concentrations and pedestrian exposures.
AU - Schroeder,AK
AU - Woodward,H
AU - Le,Cornec CMA
AU - Proust,T
AU - Benie,PJ
AU - Fan,S
AU - Aristodemou,E
AU - Jones,RL
AU - Linden,PF
AU - de,Nazelle A
AU - Boies,AM
AU - Stettler,MEJ
DO - 10.1016/j.aeaoa.2024.100293
PY - 2024///
TI - Vehicle emission models alone are not sufficient to understand full impact of change in traffic signal timings
T2 - Atmospheric Environment: X
UR - http://dx.doi.org/10.1016/j.aeaoa.2024.100293
VL - 24
ER -