Examining the nonlinear and interactive effects of built environment characteristics on travel satisfaction

Wei Dong, Naidi Wang, Yu Dong, Jason Cao

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Previous studies often overlook nonlinear relationships between built environment characteristics and travel satisfaction, and few examine the interaction effects of these characteristics on travel satisfaction. Using gradient boosting decision trees on a dataset of 1167 respondents collected from Harbin, China, in 2021, we estimated the nonlinear and interaction effects of built environment characteristics on travel satisfaction. We found that perceived built environment attributes, such as infrastructure and safety for walking, aesthetics, physical barriers, and land-use mix, are key predictors of residents' travel satisfaction, and their relationships are mostly nonlinear. Furthermore, built environment characteristics exhibit three patterns of interaction effects on travel satisfaction: compensation, suppression, and reinforcement. These findings can help planners better assess the costs and benefits of environmental improvement plans.

Original languageEnglish (US)
Article number104111
JournalJournal of Transport Geography
Volume123
DOIs
StatePublished - Feb 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd

Keywords

  • Built environment
  • Interaction effect
  • Machine learning
  • Nonlinear effect
  • Three-factor theory
  • Travel satisfaction

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