Modeling the effects of a speed limit reduction on traffic-related elemental carbon (EC) concentrations and population exposure to EC

Lefebvre, Wouter; Fierens, Frans; Trimpeneers, Elke; Janssen, Stijn; Vel, K. Van de; Deutsch, Felix; Viaene, Peter; Vankerkom, Jean; Dumont, Gerwin; Vanpoucke, Charlotte

doi:10.1016/j.atmosenv.2010.09.026

Cited by 40 publications

(21 citation statements)

References 20 publications

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“…Prior dispersion modeling studies have overcome computational constraints by limiting the number of receptors by placing them at the centroid of travel analysis zones (TAZs) which are usually similar to census tracks (Hatzopoulou and Miller, 2010) or census block groups (Cook et al, 2008) or by confining the receptor network to a buffer along the road network (Lefebvre et al, 2011). Placing receptors at the centroid of relatively large geographic units such as TAZs and census block groups limits the ability to capture sharp spatial gradients along roads.…”

Section: Existing Methodsmentioning

confidence: 99%

A new approach for evaluating regional exposure to particulate matter emissions from motor vehicles

Rowangould

2015

Transportation Research Part D: Transport and Environment

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Section: Existing Methodsmentioning

confidence: 99%

A new approach for evaluating regional exposure to particulate matter emissions from motor vehicles

Rowangould

2015

Transportation Research Part D: Transport and Environment

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“…This is due to the increase in acceleration and deceleration [44]. Reducing the speed limit was the only measure found to significantly reduce the levels of air pollution [56].…”

Section: Built Environment Impactmentioning

confidence: 99%

A meta-analysis of the impact of traffic-related air pollution on health and the factors affecting exposure

Lockhart

Vaganay

Macintyre

et al. 2015

WIT Transactions on Ecology and the Environment

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Clean air is a basic requirement for health and well-being. One of the main sources of air pollution is traffic. It emits harmful pollutants including nitrogen dioxide and particulate matter. There is a large body of existing evidence regarding the public health impact of air pollution. A wide range of health problems including respiratory and cardiovascular illnesses have been found. The evidence in relation to the impact of traffic related air pollution is inconsistent therefore the aim of this paper is to provide clarity on the strength of evidence. In addition, the review will consider the impact of environmental and personal exposure factors. To identify relevant research, the database Science Direct was used along with a search strategy. This review found there is a large body of evidence in relation to air pollution from traffic, health impacts and environmental factors. Due to methodological limitations and the complexity of the interactions the strength of this evidence is mixed. Links to cardiovascular illnesses were considered the most significant. A number of environmental factors such as weather and built environment have significant impacts on traffic related air pollution levels. The review highlights the lack of comprehensive and robust evidence linking environmental factors, traffic related air pollution and health impacts. Future work should use appropriate methodologies to address these gaps.

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“…The situation is more complex (and challenging) for planning applications, i.e. when models are used to assess the impact of realistic or virtual emission changes (Lefebvre et al, 2011). The FAIRMODE guidance document (EEA, 2011) reviews some possible methodologies to achieve this evaluation task:…”

Section: Introductionmentioning

confidence: 99%

Dynamic evaluation of air quality models over European regions

Thunis

Pisoni

Degraeuwe

et al. 2015

Atmospheric Environment

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h i g h l i g h t sAir quality model responses to emission reduction scenarios are presented. Maximum potential for local emission abatement is identified. Relative importance of the various precursor emissions is assessed. Degree of non-linearity of the model responses is estimated. Three case studies in Europe are considered. a b s t r a c tChemistry-transport models are increasingly used in Europe for estimating air quality or forecasting changes in pollution levels. But with this increased use of modeling arises the need of harmonizing the methodologies to determine the quality of air quality model applications. This is complex for planning applications, i.e. when models are used to assess the impact of realistic or virtual emission scenarios. In this work, the methodology based on the calculation of potencies proposed by Thunis and Clappier (2014) to analyze the model responses to emission reductions is applied on three different domains in Europe (Po valley, Southern Poland and Flanders). This methodology is further elaborated to facilitate the inter-comparison process and bring in a single diagram the possibility of differentiating long-term from short-term effects. This methodology is designed for model users to interpret their model results but also for policy-makers to help them defining intervention priorities. The methodology is applied to both daily PM 10 and 8 h daily maximum ozone.

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Modeling the effects of a speed limit reduction on traffic-related elemental carbon (EC) concentrations and population exposure to EC

Cited by 40 publications

References 20 publications

A new approach for evaluating regional exposure to particulate matter emissions from motor vehicles

A new approach for evaluating regional exposure to particulate matter emissions from motor vehicles

A meta-analysis of the impact of traffic-related air pollution on health and the factors affecting exposure

Dynamic evaluation of air quality models over European regions

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