Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최재영 | - |
dc.date.accessioned | 2019-12-04T07:49:07Z | - |
dc.date.available | 2019-12-04T07:49:07Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.citation | SUSTAINABILITY, v. 10, no. 3, Article no. 607 | en_US |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.uri | https://www.mdpi.com/2071-1050/10/3/607 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/117379 | - |
dc.description.abstract | Introduced 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.sponsorship | This 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.iso | en_US | en_US |
dc.publisher | MDPI | en_US |
dc.subject | advanced vehicle technologies | en_US |
dc.subject | alternative fuel vehicles | en_US |
dc.subject | market segmentation | en_US |
dc.subject | multiple discrete-continuous extreme value | en_US |
dc.title | Can Next-Generation Vehicles Sustainably Survive in the Automobile Market? Evidence from Ex-Ante Market Simulation and Segmentation | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 10 | - |
dc.identifier.doi | 10.3390/su10030607 | - |
dc.relation.page | 607-622 | - |
dc.relation.journal | SUSTAINABILITY | - |
dc.contributor.googleauthor | Shin, Jungwoo | - |
dc.contributor.googleauthor | Lim, Taehoon | - |
dc.contributor.googleauthor | Kim, Moo Yeon | - |
dc.contributor.googleauthor | Choi, Jae Young | - |
dc.relation.code | 2018015472 | - |
dc.sector.campus | S | - |
dc.sector.daehak | GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S] | - |
dc.sector.department | DEPARTMENT OF TECHNOLOGY MANAGEMENT | - |
dc.identifier.pid | boogalooaz | - |
dc.identifier.researcherID | E-9896-2017 | - |
dc.identifier.orcid | http://orcid.org/0000-0002-4380-7299 | - |
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