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Searching for the Inflection Point of Travel Well-Being from the Views of Travel Characteristics Based on the Ordered Logistic Regression Model

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Listed:
  • Hongmei Yu

    (Jiangsu Modern Urban Transportation Technology Collaborative Innovation Center, Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo 315211, China)

  • Xiaofei Ye

    (Jiangsu Modern Urban Transportation Technology Collaborative Innovation Center, Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo 315211, China)

  • Xingchen Yan

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China)

  • Tao Wang

    (School of Architecture and Transportation, Guilin University of Electronic Technology, Lingjinji Road 1#, Guilin 541004, China)

  • Jun Chen

    (School of Transportation, Southeast University, Si Pai Lou 2#, Nanjing 210096, China)

  • Bin Ran

    (Department of Civil and Environmental Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA)

Abstract

Travel well-being is the subjective feeling of satisfaction that people have while traveling. Previous research focused on its determinants and relationships with subjective well-being ignored. But no quantitative study discusses the effect of characteristics like weekly income and travel time on travel well-being. To demonstrate the quantitative inflection of travel well-being from characteristics, the relevant factors influencing travel well-being as the dependent variable are identified using Pearson correlation analysis and linear regression in this paper. To overcome the limitations of linear regression techniques, ordered logistic regression is applied to establish an analytical model of travel well-being for predicting the response probabilities for different degrees based on combinations of explanatory variables. Both the linear regression and ordered logistic regression models are calibrated by American residents’ travel datasets. The results illustrate that the ordered logistic model fits sample data better than linear regression models. Age, travel time, health status, and resting degree are significantly related to travel well-being. Older people and those who are healthier and better rested are more likely to experience higher levels of travel well-being. Additionally, increased travel time is associated with a significant decrease in travel well-being. Therefore, to enhance people’s travel feelings, policymakers and urban planners can enhance the quality of public transportation services and provide diverse transportation options, while also logically constructing transportation hubs to provide more convenient travel plans.

Suggested Citation

  • Hongmei Yu & Xiaofei Ye & Xingchen Yan & Tao Wang & Jun Chen & Bin Ran, 2023. "Searching for the Inflection Point of Travel Well-Being from the Views of Travel Characteristics Based on the Ordered Logistic Regression Model," Sustainability, MDPI, vol. 15(21), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15673-:d:1275102
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    References listed on IDEAS

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    1. Abou-Zeid, Maya & Ben-Akiva, Moshe, 2011. "The effect of social comparisons on commute well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 345-361, May.
    2. repec:pri:cepsud:125krueger is not listed on IDEAS
    3. Lorenz, Olga, 2018. "Does commuting matter to subjective well-being?," Journal of Transport Geography, Elsevier, vol. 66(C), pages 180-199.
    4. Ettema, Dick & Gärling, Tommy & Olsson, Lars E. & Friman, Margareta, 2010. "Out-of-home activities, daily travel, and subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 723-732, November.
    5. Mahmoud Alreahi & Zoltán Bujdosó & Lóránt Dénes Dávid & Balázs Gyenge, 2023. "Green Supply Chain Management in Hotel Industry: A Systematic Review," Sustainability, MDPI, vol. 15(7), pages 1-32, March.
    6. Daniel Kahneman & Alan B. Krueger & David Schkade & Norbert Schwarz & Arthur A. Stone, 2006. "Would You Be Happier If You Were Richer? A Focusing Illusion," Working Papers 77, Princeton University, Department of Economics, Center for Economic Policy Studies..
    7. Ben Clark & Kiron Chatterjee & Adam Martin & Adrian Davis, 2020. "How commuting affects subjective wellbeing," Transportation, Springer, vol. 47(6), pages 2777-2805, December.
    8. Susilo, Yusak O. & Cats, Oded, 2014. "Exploring key determinants of travel satisfaction for multi-modal trips by different traveler groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 366-380.
    9. Daniel Kahneman & Alan B. Krueger & David Schkade & Norbert Schwarz & Arthur A. Stone, 2006. "Would You Be Happier If You Were Richer? A Focusing Illusion," Working Papers 77, Princeton University, Department of Economics, Center for Economic Policy Studies..
    10. Yongfeng Ma & Shuyan Chen & Aemal J. Khattak & Zheng Cao & Muhammad Zubair & Xue Han & Xiaojian Hu, 2022. "What Affects Emotional Well-Being during Travel? Identifying the Factors by Maximal Information Coefficient," IJERPH, MDPI, vol. 19(7), pages 1-10, April.
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