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A modeling framework for the estimation of optimal CO2 emission taxes for private transport

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dc.contributor.author Almodovar Carrascosa, Maximo es_ES
dc.contributor.author Espinosa Aranda, Jose Luis es_ES
dc.contributor.author Angulo Sanchez-Herrera, Eusebio es_ES
dc.contributor.author Garcia Rodenas, Ricardo es_ES
dc.date.accessioned 2013-05-09T06:10:21Z
dc.date.available 2013-05-09T06:10:21Z
dc.date.issued 2011 es_ES
dc.identifier.citation Procedia - Social and Behavioral Sciences, 2011, 20: 693-702 es_ES
dc.identifier.issn 1877-0428 es_ES
dc.identifier.uri http://hdl.handle.net/10578/3004
dc.description.abstract In this paper, a novel modeling framework is proposed for the estimation of optimal CO2 emission taxes for urban traffic. The framework is based on a bi-level model comprising a combined equilibrium model with elastic demand and a \\\\pollution taxes\\\\ (PTs) estimation model based on vehicle kilometers traveled and emissions produced. A bi-level optimization problem is proposed for the PT estimation model (PTM) in order to provide the minimum price which reduces emissions generated in an urban area to a desired value dependent on the environmental goals. To solve this problem, the Regula Falsi method is proposed and it exhibits a high enough rate of convergence. Two tests using the Nguyen and Dupuis network and Barcelona network (Spain) have been performed to test the convergence of our resolution method and the applicability of the proposal over networks with different sizes. The results are very promising and allow the implicit definition of the behavior of users against different PT prices. es_ES
dc.format text/plain en_US
dc.language.iso es en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Ingenierías es_ES
dc.title A modeling framework for the estimation of optimal CO2 emission taxes for private transport es_ES
dc.type info:eu-repo/semantics/article en_US


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