Methodological challenges in modelling the choice of mode for a new travel alternative using binary stated choice data

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Methodological challenges in modelling the choice of mode for a new travel alternative using binary stated choice data – The case of high speed rail in Norway

Flügel, Stefan / Halse, Askill H. / Ortúzar, Juan de Dios / Rizzi, Luis I.

Highlights • Deriving a full correlation structure requires sufficient data access. • Binary stated choice data is likely to be insufficient. • The translation of groups scale parameters into nest parameters is problematic. • Revealed choice data among current modes may provide important information. • A cross-nested logit model may be required.

Abstract Binary stated choices between traveller’s current travel mode and a not-yet-existing mode might be used to build a forecasting model with all (current and future) travel alternatives. One challenge with this approach is the identification of the most appropriate inter-alternative error structure of the forecasting model. By critically assessing the practise of translating estimated group scale parameters into nest parameters, we illustrate the inherent limitations of such binary choice data. To overcome some of the problems, we use information from both stated and revealed choice data and propose a model with a cross-nested logit specification, which is estimated on the pooled data set.

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Title :

Methodological challenges in modelling the choice of mode for a new travel alternative using binary stated choice data – The case of high speed rail in Norway

Contributors:

Flügel, Stefan (author) / Halse, Askill H. (author) / Ortúzar, Juan de Dios (author) / Rizzi, Luis I. (author)

Published in:

Transportation Research Part A: Policy and Practice ; 78 ; 438-451

Publication date :

2015-06-10

Size :

14 pages

ISSN :

0965-8564

DOI :

https://doi.org/10.1016/j.tra.2015.06.004