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Can Next-Generation Vehicles Sustainably Survive in the Automobile Market? Evidence from Ex-Ante Market Simulation and Segmentation

doi: 10.3390/su10030607
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.
- The University of Texas at Austin United States
- Hanyang University Korea (Republic of)
- Kyung Hee University Korea (Republic of)
- Hanyang University Korea (Republic of)
- Kyung Hee University Korea (Republic of)
advanced vehicle technologies; alternative fuel vehicles; market segmentation; multiple discrete-continuous extreme value, Environmental effects of industries and plants, market segmentation, TJ807-830, TD194-195, Renewable energy sources, multiple discrete-continuous extreme value, Environmental sciences, advanced vehicle technologies, GE1-350, alternative fuel vehicles
advanced vehicle technologies; alternative fuel vehicles; market segmentation; multiple discrete-continuous extreme value, Environmental effects of industries and plants, market segmentation, TJ807-830, TD194-195, Renewable energy sources, multiple discrete-continuous extreme value, Environmental sciences, advanced vehicle technologies, GE1-350, alternative fuel vehicles
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