Improving the representation of modal choice into bottom-up optimization energy system models - the MoCho-TIMES model

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dc.check.date2019-12-22
dc.check.infoAccess to this article is restricted until 24 months after publication by request of the publisher.en
dc.contributor.authorTattini, Jacopo
dc.contributor.authorRamea, Kalai
dc.contributor.authorGargiulo, Maurizio
dc.contributor.authorYang, Christopher
dc.contributor.authorMulholland, Eamonn
dc.contributor.authorYeh, Sonia
dc.contributor.authorKarlsson, Kenneth
dc.contributor.funderInnovationsfondenen
dc.contributor.funderOtto Mønsteds Fonden
dc.date.accessioned2018-07-20T08:58:29Z
dc.date.available2018-07-20T08:58:29Z
dc.date.issued2017-12-22
dc.date.updated2018-07-20T08:29:45Z
dc.description.abstractThis study presents MoCho-TIMES, an original methodology for incorporating modal choice into energy-economy-environment-engineering (E4) system models. MoCho-TIMES addresses the scarce ability of E4 models to realistically depict behaviour in transport and allows for modal shift towards transit and non-motorized modes as a new dimension for decarbonising the transportation sector. The novel methodology determines endogenous modal shares by incorporating variables related to the level-of-service (LoS) of modes and consumersâ modal perception within the E4 modeling framework. Heterogeneity of transport users is introduced to differentiate modal perception and preferences across different consumer groups, while modal preferences are quantified via monetization of intangible costs. A support transport simulation model consistent with the geographical scope of the E4 model provides the data and mathematical expressions required to develop the approach. This study develops MoCho-TIMES in the standalone transportation sector of TIMES-DK, the integrated energy system model for Denmark. The model is tested for the Business as Usual scenario and for four alternative scenarios that imply diverse assumptions for the new attributes introduced. The results show that different assumptions for the new attributes affect modal shares and CO2 emissions. MoCho-TIMES inaugurates the possibility to perform innovative policy analyses involving new parameters to the E4 modeling framework. The results find that authority's commitment to sustainability is crucial for a paradigmatic change in the transportation sector.en
dc.description.sponsorshipInnovationsfonden (COMETS 4106-00033A)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationTattini, J., Ramea, K., Gargiulo, M., Yang, C., Mulholland, E., Yeh, S. and Karlsson, K. (2017) 'Improving the representation of modal choice into bottom-up optimization energy system models - the MoCho-TIMES model', Applied Energy, 212, pp. 265-282. doi:10.1016/j.apenergy.2017.12.050en
dc.identifier.doi10.1016/j.apenergy.2017.12.050
dc.identifier.endpage282en
dc.identifier.issn0306-2619
dc.identifier.journaltitleApplied Energyen
dc.identifier.startpage265en
dc.identifier.urihttps://hdl.handle.net/10468/6485
dc.identifier.volume212en
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.rights© 2017, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectModal choiceen
dc.subjectTransporten
dc.subjectMobility behaviouren
dc.subjectBottom-up energy system modelingen
dc.subjectTIMES-MARKALen
dc.titleImproving the representation of modal choice into bottom-up optimization energy system models - the MoCho-TIMES modelen
dc.typeArticle (peer-reviewed)en
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