Incorporating unobservable heterogeneity in discrete choice model : mode choice model for shopping trips
Name
43702339-MIT.pdf
Description
Full printable version
Size
4.28 MB
Format
Adobe PDF
Checksum (MD5)
cd0271e970a5d2eecc1b9fecb3ed377e
Author(s)
Hosoda, Takamichi, 1965-
Advisor(s)
Moshe Ben-Akiva.
Date Issued
1999
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, we propose a methodology for incorporating attitudinal data in a choice model to capture unobservable heterogeneity across the population. The key features of this approach are, 1) the concept of latent attitudes, and the assumption that 2) the respondent's answers to psychometric attitudinal questions relating to the importance of attributes are manifestations of these attitudes and that 3) those attitudinal data bring sufficient information to capture unobservable heterogeneity across the population in the context of choice behavior. Each individual is probabilistically assigned to a finite number of segments according to his/her own value of latent attitudinal variable(s) as well as to threshold parameter(s) common to the population. Segment-specific parameters are estimated simultaneously. An empirical case study on shopping trip mode choice demonstrates the effectiveness of the methodology.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.
Includes bibliographical references (leaves 90-95).
Subjects
Civil and Environmental Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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