Can Next-Generation Vehicles Sustainably Survive in the Automobile Market? Evidence from Ex-Ante Market Simulation and Segmentation
DC Field | Value | Language |
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dc.contributor.author | Shin, Jungwoo | - |
dc.contributor.author | Lim, Taehoon | - |
dc.contributor.author | Kim, Moo Yeon | - |
dc.contributor.author | Choi, Jae Young | - |
dc.date.accessioned | 2022-07-12T07:39:34Z | - |
dc.date.available | 2022-07-12T07:39:34Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2018-03 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150440 | - |
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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Can Next-Generation Vehicles Sustainably Survive in the Automobile Market? Evidence from Ex-Ante Market Simulation and Segmentation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Jae Young | - |
dc.identifier.doi | 10.3390/su10030607 | - |
dc.identifier.scopusid | 2-s2.0-85042556909 | - |
dc.identifier.wosid | 000428567100034 | - |
dc.identifier.bibliographicCitation | SUSTAINABILITY, v.10, no.3, pp.1 - 16 | - |
dc.relation.isPartOf | SUSTAINABILITY | - |
dc.citation.title | SUSTAINABILITY | - |
dc.citation.volume | 10 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 16 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Environmental Studies | - |
dc.subject.keywordPlus | ALTERNATIVE-FUEL VEHICLES | - |
dc.subject.keywordPlus | DISCRETE-CHOICE ANALYSIS | - |
dc.subject.keywordPlus | EXTREME-VALUE MODEL | - |
dc.subject.keywordPlus | ELECTRIC VEHICLES | - |
dc.subject.keywordPlus | CONSUMER PREFERENCES | - |
dc.subject.keywordPlus | AIR-QUALITY | - |
dc.subject.keywordPlus | FORMULATION | - |
dc.subject.keywordPlus | OWNERSHIP | - |
dc.subject.keywordPlus | EMISSIONS | - |
dc.subject.keywordPlus | BEHAVIOR | - |
dc.subject.keywordAuthor | advanced vehicle technologies | - |
dc.subject.keywordAuthor | alternative fuel vehicles | - |
dc.subject.keywordAuthor | market segmentation | - |
dc.subject.keywordAuthor | multiple discrete-continuous extreme value | - |
dc.identifier.url | https://www.mdpi.com/2071-1050/10/3/607 | - |
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