Analysing Mode Choice Behaviour in a Multi-modal Commuting System with Customised Bus Services

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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Publication Details

Journal
Journal of Transport Economics and Policy
Published
2025-04-01
DOI
https://doi.org/10.3828/jtep.2025.59.2.85
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
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article

Analysing Mode Choice Behaviour in a Multi-modal Commuting System with Customised Bus Services

Guo Qiu, Tingting Li, Tianchao Guan
Journal of Transport Economics and Policy
Transportation Planning and Optimization
article

Analysing Mode Choice Behaviour in a Multi-modal Commuting System with Customised Bus Services

Guo Qiu, Tingting Li, Tianchao Guan
article en

Abstract

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.

Journal of Transport Economics and PolicyVol. 59(2)
Ningbo University (CN), Chang'an University (CN), China Waterborne Transport Research Institute (CN)
Openalex Percentile: Top 18%
Transportation Planning and Optimization
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Analysing Mode Choice Behaviour in a Multi-modal Commuting System with Customised Bus Services — Guo Qiu, Tingting Li, et al. · Journal of Transport Economics and Policy (2025) | TGRS Research Map | TGRS