Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/249425
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
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