Rising car user costs: comparing aggregated and geo-spatial impacts on travel demand and air pollutant emissions

dc.contributor.authorKickhöfer, Benjamin
dc.contributor.authorHülsmann, Friederike
dc.contributor.authorGerike, Regine
dc.contributor.authorNagel, Kai
dc.date.accessioned2018-11-27T08:49:21Z
dc.date.available2018-11-27T08:49:21Z
dc.date.issued2013
dc.description.abstractOur chapter starts from the assumption that car user costs are about to increase in the forthcoming decades. This is likely to have impacts on aggregated air pollutant emissions and on the spatial distribution of emissions. The concentration of some air pollutants still exceeds the limiting values prescribed by the European Union, especially in urban areas. Thus, the main focus of this chapter is the question whether a decrease in car travel demand due to higher user costs would result in an overproportional reduction of air pollutant emissions. When it comes to the discussion of cost-related transport policies, large-scale transport models are needed. However, for the analysis of air pollutant emissions, a detailed investigation of the micro level is also necessary. In order to combine both objectives, we use a multi-agent transport model for our simulations. The multi-agent transport simulation MATSim1 is able to simulate large-scale scenarios. It is also particularly suitable for calculating air pollutant emissions on a detailed level as complete daily plans are modeled and the traveler’s identity is kept throughout the simulation process. For illustration purposes of the impacts on air pollutant emissions, nitrogen dioxide (NO2) is chosen. Furthermore, the transport sector is the main source of NO2 emissions and NO2 concentration limits are still often exceeded.en
dc.identifier.isbn978-1-78254-832-4
dc.identifier.urihttps://depositonce.tu-berlin.de//handle/11303/8597
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7731
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc380 Handel, Kommunikation, Verkehrde
dc.subject.otheremission modelingen
dc.subject.otherprice elasticitiesen
dc.subject.otherspatial analysisen
dc.subject.otherurban transporten
dc.subject.otheruser costsen
dc.subject.otheragent-based modelingen
dc.titleRising car user costs: comparing aggregated and geo-spatial impacts on travel demand and air pollutant emissionsen
dc.typeBook Parten
dc.type.versionsubmittedVersionen
dcterms.bibliographicCitation.booktitleSmart transport networks : market structure, sustainability and decision makingen
dcterms.bibliographicCitation.doi10.4337/9781782548331.00014
dcterms.bibliographicCitation.editorVanoutrive, Thomas
dcterms.bibliographicCitation.editorVerhetsel, Ann
dcterms.bibliographicCitation.originalpublishernameEdward Elgar Publishingen
dcterms.bibliographicCitation.originalpublisherplaceCheltenhamde
dcterms.bibliographicCitation.pageend207
dcterms.bibliographicCitation.pagestart180
tub.accessrights.dnbdomain
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme>Inst. Land- und Seeverkehr (ILS)>FG Verkehrssystemplanung und Verkehrstelematikde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Verkehrssystemplanung und Verkehrstelematikde
tub.affiliation.instituteInst. Land- und Seeverkehr (ILS)de
tub.publisher.universityorinstitutionTechnische Universität Berlinde
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