Estimation of switching models from revealed preferences and stated intentions

This paper proposes a methodology for modeling switching behavior using simultaneously cross-sectional revealed preference (RP) data and stated intentions, a type of stated preference (SP) data. With explicit consideration of biases and random errors potentially contained in SP data, combined estima...

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Bibliographic Details
Published in:Transportation research. Part A: general 1990-11, Vol.24 (6), p.485-495
Main Authors: Ben-Akiva, Moshe, Morikawa, Takayuki
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Ground, air and sea transportation, marine construction
Transportation planning, management and economics
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Summary:This paper proposes a methodology for modeling switching behavior using simultaneously cross-sectional revealed preference (RP) data and stated intentions, a type of stated preference (SP) data. With explicit consideration of biases and random errors potentially contained in SP data, combined estimation with RP and SP data can exploit the advantages of both data sources. An empirical analysis of commuters' mode choice shows that the stated intention data have predictive validity if their biases and errors are properly corrected.
ISSN:0191-2607
1878-3813
DOI:10.1016/0191-2607(90)90037-7