Abstract 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.
Estimation of switching models from revealed preferences and stated intentions
Transportation Research Part A: General ; 24 , 6 ; 485-495
1990-01-01
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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