Lexicographic model (LEX) for travel behavior analysis

Chong Wei, Takamasa Iryo, Yasuo Asakura

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

Abstract

Decision makers may employ a non-compensatory mechanism rather than rational rule in the real world. Lexicographic rule is one kind of non-compensatory mechanism and which following Simon' satisficing concept, and some evidences denoted that decision makers use lexicographic rule. However, lexicographic rule is difficultly modeled within a stochastic model, additionally, some conventional estimation method is impractical because the high degree of the computational load. In this study, we proposed a Lexicographic model (LEX) for travel behavior analysis. We also developed a Bayesian method to estimate the model.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference of Hong Kong Society for Transportation Studies
Subtitle of host publicationTransportation and Management Science
Pages167-173
Number of pages7
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science - Kowloon, Hong Kong
Duration: 2008 Dec 132008 Dec 15

Publication series

NameProceedings of the 13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science

Conference

Conference13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science
CountryHong Kong
CityKowloon
Period08/12/1308/12/15

ASJC Scopus subject areas

  • Transportation

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  • Cite this

    Wei, C., Iryo, T., & Asakura, Y. (2008). Lexicographic model (LEX) for travel behavior analysis. In Proceedings of the 13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science (pp. 167-173). (Proceedings of the 13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science).