Assessing the relative importance of factors influencing travel happiness

Shuyan Chen, Yingling Fan, Yang Cao, Aemal Khattak

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Travel happiness represents positive user experiences of transportation services and has a significant impact on people's overall happiness. Increasingly, studies have identified factors associated with travel happiness, which help identify strategies to improve transportation user experiences and identify innovative solutions for improving public health. Using data from the 2013 American Time Use Survey, we combined optimal scale regression, factor analysis, and analytic hierarchy process to assess the relative importance of various trip and personal factors influencing happiness during trips. We found that the degree of rest and whether the trip maker interacted with others during a trip were the most important factors affecting happiness during the trip. Transportation planners in the U.S. are recommended to invest in rest areas and transit shelters, identify strategies that can prevent people from travelling while fatigued, and provide opportunities for transportation users to interact with others while ensuring safety.

Original languageEnglish (US)
Pages (from-to)185-191
Number of pages7
JournalTravel Behaviour and Society
Volume16
DOIs
StatePublished - Jul 2019

Bibliographical note

Funding Information:
This work was sponsored by the National Science Foundation of China (NO. 61374195 ). The authors thank Professor Jing Zhu at Northwest University in China for her generous advice for the analysis of travel happiness.

Funding Information:
This work was sponsored by the National Science Foundation of China (NO. 61374195). The authors thank Professor Jing Zhu at Northwest University in China for her generous advice for the analysis of travel happiness. On behalf of all authors, the corresponding author states that there is no conflict of interest.

Publisher Copyright:
© 2019 Hong Kong Society for Transportation Studies

Keywords

  • Analytic hierarchy process
  • Factor analysis
  • Travel emotional experience
  • Weight

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