The adoption behaviours of freeway electronic toll collection: A latent class modelling approach

Yu-Chiun Chiou*, Rong Chang Jou, Chu Yun Kao, Chiang Fu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This study develops an electronic toll collection (ETC) disaggregate choice model based on a large-scale questionnaire survey of car drivers in Taiwan. To acknowledge the difference in preferences among car drivers, the latent class logit model is used to classify respondents into different groups without subjective segmentation. The estimation results show that six groups of car drivers are optimally distinguished. The price of an e-pass and the discount for ETC tolls are identified as the two most important factors affecting ETC adoption. The study also finds that significant differences in adoption behaviours exist among groups. Effective marketing strategies for different groups are then proposed accordingly.

Original languageEnglish
Pages (from-to)266-280
Number of pages15
JournalTransportation Research Part E: Logistics and Transportation Review
Volume49
Issue number1
DOIs
StatePublished - 1 Jan 2013

Keywords

  • Discrete choice model
  • Electronic toll collection
  • Latent class model

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