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dc.contributor.author최재영-
dc.date.accessioned2019-12-04T07:49:07Z-
dc.date.available2019-12-04T07:49:07Z-
dc.date.issued2018-02-
dc.identifier.citationSUSTAINABILITY, v. 10, no. 3, Article no. 607en_US
dc.identifier.issn2071-1050-
dc.identifier.urihttps://www.mdpi.com/2071-1050/10/3/607-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/117379-
dc.description.abstractIntroduced autonomous and connected vehicles equipped with emerging technologies are expected to change the automotive market. In this study, using stated preference (SP) data collected from choice experiments conducted in Korea with a mixed multiple discrete-continuous extreme value model (MDCEV), we analyzed how the advent of next-generation of vehicles with advanced vehicle technologies would affect consumer vehicle choices and usage patterns. Additionally, ex-ante market simulations and market segmentation analyses were conducted to provide specific management strategies for next-generation vehicles. The results showed that consumer preference structures of conventional and alternative fuel types primarily differed depending on whether they were drivers or non-drivers. Additionally, although the introduction of electric vehicles to the automobile market is expected to negatively affect the choice probability and mileage of other vehicles, it could have a positive influence on the probability of purchasing an existing conventional vehicle if advanced vehicle technologies are available.en_US
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2017R1C1B5074293), the Korea Ministry of Environment as Climate Change Correspondence R&D Program (2014001300001).en_US
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.subjectadvanced vehicle technologiesen_US
dc.subjectalternative fuel vehiclesen_US
dc.subjectmarket segmentationen_US
dc.subjectmultiple discrete-continuous extreme valueen_US
dc.titleCan Next-Generation Vehicles Sustainably Survive in the Automobile Market? Evidence from Ex-Ante Market Simulation and Segmentationen_US
dc.typeArticleen_US
dc.relation.no3-
dc.relation.volume10-
dc.identifier.doi10.3390/su10030607-
dc.relation.page607-622-
dc.relation.journalSUSTAINABILITY-
dc.contributor.googleauthorShin, Jungwoo-
dc.contributor.googleauthorLim, Taehoon-
dc.contributor.googleauthorKim, Moo Yeon-
dc.contributor.googleauthorChoi, Jae Young-
dc.relation.code2018015472-
dc.sector.campusS-
dc.sector.daehakGRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S]-
dc.sector.departmentDEPARTMENT OF TECHNOLOGY MANAGEMENT-
dc.identifier.pidboogalooaz-
dc.identifier.researcherIDE-9896-2017-
dc.identifier.orcidhttp://orcid.org/0000-0002-4380-7299-


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