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

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

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.

Suggested Citation

  • Chiou, Yu-Chiun & Jou, Rong-Chang & Kao, Chu-Yun & Fu, Chiang, 2013. "The adoption behaviours of freeway electronic toll collection: A latent class modelling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 266-280.
    • Handle: RePEc:eee:transe:v:49:y:2013:i:1:p:266-280
    DOI: 10.1016/j.tre.2012.09.003
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    References listed on IDEAS

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    1. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    2. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "A latent class segmentation analysis of e-shoppers," Journal of Business Research, Elsevier, vol. 57(7), pages 758-767, July.
    3. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2004. "Country and consumer segmentation : Multi-level latent class analysis of financial product ownership," Other publications TiSEM fb506162-d125-4091-9083-9, Tilburg University, School of Economics and Management.
    4. Wen, Chieh-Hua & Lai, Shan-Ching, 2010. "Latent class models of international air carrier choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(2), pages 211-221, March.
    5. Jou, Rong-Chang & Chiou, Yu-Chiun & Chen, Ke-Hong & Tan, Hao-I, 2012. "Freeway drivers’ willingness-to-pay for a distance-based toll rate," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 549-559.
    6. Chandra R. Bhat, 1997. "An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel," Transportation Science, INFORMS, vol. 31(1), pages 34-48, February.
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    Cited by:

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    3. Fowri, Hamid R. & Seyedabrishami, Seyedehsan, 2020. "Assessment of urban transportation pricing policies with incorporation of unobserved heterogeneity," Transport Policy, Elsevier, vol. 99(C), pages 12-19.

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