Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/122913
Title: The environmental effects of changing speed limits: A quantile regression approach
Author: Bel i Queralt, Germà, 1963-
Bolancé Losilla, Catalina
Guillén, Montserrat
Rosell i Segura, Jordi
Keywords: Enginyeria del trànsit
Contaminació atmosfèrica
Anàlisi de regressió
Estadística quàntica
Traffic engineering
Atmospheric pollution
Regression analysis
Quantum statistics
Issue Date: May-2015
Publisher: Elsevier Ltd
Abstract: Two speed management policies were implemented in the metropolitan area of Barcelona aimed at reducing air pollution concentration levels. In 2008, the maximum speed limit was reduced to 80 km/h and, in 2009, a variable speed system was introduced on some metropolitan motorways. This paper evaluates whether such policies have been successful in promoting cleaner air, not only in terms of average pollutant levels but also during high and low pollution episodes. To do so, we use a quantile regression approach for fixed effect panel data, which allows us analyzing different scenarios (beyond the average levels). We find that the variable speed system improves air quality with regard to the two pollutants considered here, being most effective when nitrogen oxide levels are not too low and when particulate matter concentrations are below extremely high levels. However, reducing the maximum speed limit from 120/100 km/h to 80 km/h has no effect - or even a slightly increasing effect - on the two pollutants, depending on the pollution scenario.
Note: Versió postprint del document publicat a: https://doi.org/10.1016/j.trd.2015.02.003
It is part of: Transportation Research Part D: Transport and Environment, 2015, vol. 36, num. May, p. 76-85
URI: http://hdl.handle.net/2445/122913
Related resource: https://doi.org/10.1016/j.trd.2015.02.003
ISSN: 1361-9209
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

Files in This Item:
File Description SizeFormat 
655971.pdf679.06 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons