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

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

Transport Policy, 2025, vol. 170, issue C, 12-23

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.

Keywords: Travel demand; Statistical learning; Four-step model; Healthcare-related travels; Variable selection (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.tranpol.2025.05.008

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