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Title: | UNDERSTANDING CONSUMERS’ NON-COMPENSATORY AND HETEROGENEOUS PREFERENCES FOR ELECTRIC VEHICLES | Authors: | HUO JINGHAI | ORCID iD: | orcid.org/0000-0001-7810-6292 | Keywords: | Electric Vehicle, Attribute Cutoffs, Attribute Non-attendance, Non-compensatory, Stated Preference | Issue Date: | 23-Jan-2024 | Citation: | HUO JINGHAI (2024-01-23). UNDERSTANDING CONSUMERS’ NON-COMPENSATORY AND HETEROGENEOUS PREFERENCES FOR ELECTRIC VEHICLES. ScholarBank@NUS Repository. | Abstract: | Previous studies eliciting preferences for electric vehicles assume the compensatory behavior of consumers. However, consumers might follow non-compensatory rules in which electric vehicles may become unattractive beyond certain attribute cutoffs, or they may only attend a subset of attributes, a behavior known as attribute non-attendance. This paper investigates such non-compensatory and heterogeneous electric vehicles preferences in the Singaporean context. Chapter 3 explores a latent class model that incorporates attribute cutoffs, and Chapter 4 focuses on a latent class model designed to accommodate attribute non-attendance. | URI: | https://scholarbank.nus.edu.sg/handle/10635/249425 |
Appears in Collections: | Master's Theses (Open) |
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