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Modeling and variable selection of healthcare trip behaviours using statistical learning techniques

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  • Kara, Cagdas
  • Ozden, Abdulkadir
  • Yavuz, Arzu Altin
  • Bilgic, Safak

Abstract

In an increasingly complex and fast-paced world, understanding healthcare-related travel behavior has become a critical challenge in transportation planning. Traditional models, including the Four-Step Transportation Model (FSTM), require further refinements to better capture evolving travel patterns, particularly the growing share of home-based other trips, which include shopping, leisure, and healthcare-related journeys. Among these, healthcare trips require special attention due to the increasing proportion of the aging population and the essential nature of medical accessibility.

Suggested Citation

  • Kara, Cagdas & Ozden, Abdulkadir & Yavuz, Arzu Altin & Bilgic, Safak, 2025. "Modeling and variable selection of healthcare trip behaviours using statistical learning techniques," Transport Policy, Elsevier, vol. 170(C), pages 12-23.
    • Handle: RePEc:eee:trapol:v:170:y:2025:i:c:p:12-23
    DOI: 10.1016/j.tranpol.2025.05.008
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    References listed on IDEAS

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