TY - GEN
T1 - Lexicographic model (LEX) for travel behavior analysis
AU - Wei, Chong
AU - Iryo, Takamasa
AU - Asakura, Yasuo
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84896818899&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84896818899&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84896818899
SN - 9789889884734
T3 - Proceedings of the 13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science
SP - 167
EP - 173
BT - Proceedings of the 13th International Conference of Hong Kong Society for Transportation Studies
T2 - 13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science
Y2 - 13 December 2008 through 15 December 2008
ER -