Investigates travel preferences in a multi-modal system, suggesting insights for public transport use.
This study investigates travel preferences and behavioural characteristics of commuters considering the introduction of customised bus (CB) services in a multi-modal commuting system. A three-level nested logit (NL) model consisting of two two-level NL models is established and calibrated by stated preference-off-revealed preference survey data, to analyse the travel mode choice behaviour of CB users and potential passengers. The results indicate that the three-level NL model is more effective and reasonable than the two-level NL model, using travel time and travel cost as mode choice recognition variables. Marginal effects provide management insights for attracting commuters to choose public transportation modes.
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Qiu et al. (2025) studied this question.
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