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Investigating the heterogeneity of bus users' preferences through discrete choice modelling

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  • Laura Eboli
  • Gabriella Mazzulla

Abstract

In this paper we investigate differences in bus passengers' perceptions about transit service quality through the calibration of different discrete choice logit models (multinomial, mixed and latent class models) in which users' heterogeneity is introduced. The application of these different approaches to the same experimental context is proposed, highlighting the findings emerging from the analysis. The importance of investigating passengers' perceptions can help transit operators and transportation planners prepare better investment plans; therefore, to adopt tools able to take into account the heterogeneity among users is very important for obtaining as reliable as possible service quality measures. We find that there are observed and unobserved groups of users who perceive service quality differently, and that there is heterogeneity among users in perceiving certain bus service characteristics.

Suggested Citation

  • Laura Eboli & Gabriella Mazzulla, 2014. "Investigating the heterogeneity of bus users' preferences through discrete choice modelling," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(8), pages 695-710, December.
    • Handle: RePEc:taf:transp:v:37:y:2014:i:8:p:695-710
    DOI: 10.1080/03081060.2014.959353
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    References listed on IDEAS

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    Cited by:

    1. Alonso, Borja & Barreda, Rosa & dell’Olio, Luigi & Ibeas, Angel, 2018. "Modelling user perception of taxi service quality," Transport Policy, Elsevier, vol. 63(C), pages 157-164.
    2. Xuemei Fu & Zhicai Juan, 2017. "Drivers of transit service loyalty considering heterogeneity between user segments," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(5), pages 611-623, July.

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