AbstractStated preference (SP) surveys are frequently adopted by transport planners for the analysis of the impact of transport policies on travel demand. SP surveys are believed to yield stable preference estimates from stated choices from among hypothetical alternatives, which can then be used in forecasting. However, evidence suggests that preferences derived from SP surveys are contingent on context. The objective of this paper is to outline an alternative conceptual framework for travel demand analysis which draws on attitude theory from social psychology. In line with this theory stated choices are interpreted as behavioral intentions. The theory then explains why behavioral intention sometimes deviates from actual behavior. In an empirical demonstration using panel data obtained from commuters (n=903) before and after the opening of a new subway line in Kyoto, Japan, support is obtained for several predictions about why behavioral intentions are, or are not, implemented.


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    Title :

    Application of attitude theory for improved predictive accuracy of stated preference methods in travel demand analysis


    Contributors:


    Publication date :

    2002-06-24


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English