Gender differences in active travel among older adults: Non-linear built environment insights

Yongjiang Yang, Kuniaki Sasaki*, Long Cheng, Xingwei Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Although many studies have revealed the relationship between the built environment and active travel among older adults, limited studies offer insights into gender differences. Using data from Chiba (Japan), this study employs a random forest method to fill this gap by revealing the non-linear associations of the built environment with active travel time among older males and females, and adopts a Shapley Additive exPlanations method to interpret the models. Results show that: (1) The dominant contributions to active travel time are gendered. For example, distance to a cafe/pachinko contributes more to males’ active travel time, while for females, population density contributes more. (2) The built environment attributes have non-linear associations with active travel time among older males and females. This, therefore, implies that built environment interventions are only effective to a certain extent. Implications of the findings offer nuanced guidance for a gender-equitable and age-friendly city.

Original languageEnglish
Article number103405
JournalTransportation Research Part D: Transport and Environment
Volume110
DOIs
Publication statusPublished - 2022 Sep

Keywords

  • Active travel
  • Built environment
  • Gender
  • Machine learning
  • Non-linear
  • Older adults

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Environmental Science(all)

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