A hybrid choice model with nonlinear utility functions and bounded distributions for latent variables: Application to purchase intention decisions of electric cars

Jin Hee Kim, Soora Rasouli, Harry J.P. Timmermans

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study suggests an extended hybrid choice model framework allowing nonlinear utility functions of choice alternatives including not only observable but also latent variables. The nonlinear utility function is developed based on the Box-Cox transformation. For satisfying the constraint of the Box-Cox transformation and being consistent with the bounded nature of the measurement of the indicators, we suggest using bounded distributions for the latent variables, such as the doubly censored normal distribution and Johnson's SB distribution. An empirical study is conducted using stated choice data about the intention to purchase electric cars. The empirical results show that the proposed framework can enhance the explanatory power of hybrid choice models compared to the model allowing only a linear specification.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure
EditorsZ. Leng, Y. H. Wang
PublisherHong Kong Society for Transportation Studies Limited
Pages243-250
Number of pages8
ISBN (Electronic)9789881581433
Publication statusPublished - 2014
Event19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014 - Hong Kong, China
Duration: 2014 Dec 132014 Dec 15

Publication series

NameProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure

Other

Other19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014
Country/TerritoryChina
CityHong Kong
Period14/12/1314/12/15

All Science Journal Classification (ASJC) codes

  • Transportation

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