Highlights We applied a fuel-based approach using IPCC methodologies to estimate air emissions from road transport sources in Mauritius. We estimated air emissions on the three types of classified roads (A, B and M) at three different regional set ups, namely urban, semi urban and rural. An analysis of variance (ANOVA) was carried out to look at any differences in emissions on the above roads and regions. There was no evidence of significant differences in mean emissions among road types and regions. However, in terms of absolute emissions, urban roads were found to be the most polluting.
Abstract The road transport sector is one of the major contributors of greenhouse gases and other air pollutants emissions. Regional emissions levels from road vehicles were investigated, in Mauritius, by applying a fuel-based approach. We estimated fuel consumption and air emissions based on traffic counts on the various types of classified roads at three different regional set ups, namely urban, semi urban and rural. The Relative Development Index (RDI), a composite index calculated from socio-economic and environmental indicators was used to classify regions. Our results show that the urban motorways were the most polluting due to heavy traffic. Some rural areas had important pollution levels as well. Our analysis of variance (ANOVA), however, showed little difference in emissions among road types and regions. The study can provide a simple tool for researchers in countries where data are very scarce, as is the case for many developing countries.
Assessing greenhouse gas and related air pollutant emissions from road traffic counts: A case study for Mauritius
2014-01-01
13 pages
Article (Journal)
Electronic Resource
English
Sampling techniques in road traffic counts
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