A Recursive Logit Model with Non-Link-Additive Attributes in a Multimodal Network

DOI
  • MOON Sedong
    Department of Civil and Environmental Engineering, Seoul National University
  • KIM Dong-Kyu
    Department of Civil and Environmental Engineering, Seoul National University

Description

<p>Recursive logit (RL) models can predict mode and path choices at the same time by modeling them as a sequence of link choices in a multimodal network. However, RL models can incorporate link-additive attributes only, constraining their applicability by restricting the variable selection. Therefore, this study proposes a methodology to include non-link-additive attributes to the RL model to analyze and predict users' intermodal path and mode choices on a multimodal network. This study proposes a link-additive approximation method that approximates a non-link-additive path attribute into a corresponding link attribute that holds the link-additivity. The methodology is applied to the actual network and trip data in Seoul, Korea, with two non-link-additive attributes: transit fare and transfer penalty. The result shows that including those non-link-additive attributes in the RL model improves both the goodness-of-fit and accuracy of the model.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390582020416281856
  • DOI
    10.11175/easts.15.883
  • ISSN
    18811124
  • Text Lang
    en
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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