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 |
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Institution: | 1. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China;2. College of Mathematics and Information Science, Weinan Normal University, Weinan 714099, China |
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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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Keywords: | High-speed rail Stated choice Group scale parameters Revealed choice Cross-nested logit model |
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