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Mode choice prediction using attitudinal data: A procedure and some results
Abstract A procedure is presented for using data on travelers' attitudes to predict changes in choice of transportation mode accompanying changes in the characteristics of the modes. The characteristics typically include such qualitative attributes as “opportunity to relax” and “security from undesirable acts of others” as well as quantitative attributes such as “travel time.” The procedure involves the following steps:Conduct a general-purpose survey eliciting travelers' attitudes toward their mode choice alternatives on a comprehensive set of descriptive attributes.egment respondents with respect to homogeneity of perceived constraints on choice of mode.Determine latent dimensions of each segment's perceptions of the alternative modes.Estimate choice models for each segment using the perception dimensions to define the explanatory variables.Estimate demand elasticities in terms of the explanatory attitudinal variables.Design and implement small special-purpose surveys eliciting attitudes toward proposed changes in transport systems being considered in planning policy decisions.Generate demand forecasts for the policy alternatives. Statistical results from a case-study application of the first five steps of the procedure indicate satisfactory goodness-of-fit in describing choices between automobile and bus as examples.
Mode choice prediction using attitudinal data: A procedure and some results
Abstract A procedure is presented for using data on travelers' attitudes to predict changes in choice of transportation mode accompanying changes in the characteristics of the modes. The characteristics typically include such qualitative attributes as “opportunity to relax” and “security from undesirable acts of others” as well as quantitative attributes such as “travel time.” The procedure involves the following steps:Conduct a general-purpose survey eliciting travelers' attitudes toward their mode choice alternatives on a comprehensive set of descriptive attributes.egment respondents with respect to homogeneity of perceived constraints on choice of mode.Determine latent dimensions of each segment's perceptions of the alternative modes.Estimate choice models for each segment using the perception dimensions to define the explanatory variables.Estimate demand elasticities in terms of the explanatory attitudinal variables.Design and implement small special-purpose surveys eliciting attitudes toward proposed changes in transport systems being considered in planning policy decisions.Generate demand forecasts for the policy alternatives. Statistical results from a case-study application of the first five steps of the procedure indicate satisfactory goodness-of-fit in describing choices between automobile and bus as examples.
Mode choice prediction using attitudinal data: A procedure and some results
Golob, Thomas F. (author) / Recker, Wilfred W. (author)
Transportation ; 6
1977
Article (Journal)
English
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