Airport Ground Access Mode Choice Models (2008) / Chapter Skim
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Pages 67-71
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From page 67... ...
67 Given the considerable cost and effort required to develop models of airport ground access mode choice, it is natural to ask whether separate models need to be developed for every airport or whether it would be possible to adapt or apply a model developed for one airport at another. This would depend on how transferable such models are.
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From page 68... ...
ISSUES IN MODEL TRANSFERABILITY Because the mix of air passenger or airport employee characteristics and the details of the airport ground transportation services that are available differ widely from airport to airport, for an airport access mode choice model to be transferable it must correctly reflect the influence of the different factors that determine airport traveler ground access mode choice. If model coefficients are partly accounting for factors that are not directly associated with the variable in question (or are inherent to the mode in the case of the ASCs)
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From page 69... ...
69 one region and applied in another to compare the model predictions with the observed mode choices in the second region makes it difficult to assess how sensitive the model predictions might be in such a situation to the choice of variables included in the model. In particular, the absence of a household income variable (or equivalent measure of the perceived value of time)
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From page 70... ...
model is estimated on valid data and the model coefficients are not biased by data problems, applying the model with incorrect data will produce incorrect results. Potential data problems arise in both of the two broad categories of data required for their development: survey data of air passenger or airport employee characteristics and data on the transportation service levels in the airport ground access system.
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From page 71... ...
71 particular planning study where an existing model is not available and wishes to try using an existing model that was developed for another situation elsewhere, at a minimum it would be prudent to conduct validation tests of a number of candidate models by examining how well they predict recent travel behavior in the new location. Although the predictions from these models can usually be improved by adjusting the ASCs, it should be recognized that this may well be creating a false sense of confidence.
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