A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities
AbstractTraffic emission estimation in developing countries is a key-issue for air pollution management. In most cases, comprehensive bottom-up methodologies cannot be applied in mid-sized cities because of the resource cost related to their application. In this paper, a simplified emission estimation model (SEEM) is evaluated. The model is based on a top-down approach and gives annual global hot emission. Particular attention is paid to the quality of the input traffic data. The quality of results is assessed by application of the SEEM model in the Chilean Gran Concepción urban area and by comparison with a bottom-up approach that has been led for the year 2000. The SEEM model estimates emissions with an accuracy of about and is related to important resource savings. The results of the SEEM model are then distributed in space with a disaggregation approach and using GIS techniques. The relevancy of the disaggregation approach is evaluated among several possibilities through statistical methods. A spatial disaggregation using principal roads density gives the best results in terms of emissions repartition and gives a globally accurate image of the distribution of hot emissions in a mid-sized city.
Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities
AbstractTraffic emission estimation in developing countries is a key-issue for air pollution management. In most cases, comprehensive bottom-up methodologies cannot be applied in mid-sized cities because of the resource cost related to their application. In this paper, a simplified emission estimation model (SEEM) is evaluated. The model is based on a top-down approach and gives annual global hot emission. Particular attention is paid to the quality of the input traffic data. The quality of results is assessed by application of the SEEM model in the Chilean Gran Concepción urban area and by comparison with a bottom-up approach that has been led for the year 2000. The SEEM model estimates emissions with an accuracy of about and is related to important resource savings. The results of the SEEM model are then distributed in space with a disaggregation approach and using GIS techniques. The relevancy of the disaggregation approach is evaluated among several possibilities through statistical methods. A spatial disaggregation using principal roads density gives the best results in terms of emissions repartition and gives a globally accurate image of the distribution of hot emissions in a mid-sized city.
Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities
Tuia, Devis (author) / Ossés de Eicker, Margarita (author) / Zah, Rainer (author) / Osses, Mauricio (author) / Zarate, Erika (author) / Clappier, Alain (author)
Atmospheric Environment ; 41 ; 3658-3671
2006-12-19
14 pages
Article (Journal)
Electronic Resource
English
An evaluation of road traffic emissions around Galician cities
| British Library Conference Proceedings | 2010
Spatial quality measurement of commercial streets in old cities of medium-sized cities in China
| DOAJ | 2024
Where major Canadian cities fall down in handling of traffic
| Engineering Index Backfile | 1953