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What Affects Emotional Well-Being during Travel? Identifying the Factors by Maximal Information Coefficient

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  • Yongfeng Ma

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modem Urban Traffic Technologies, Southeast University, Nanjing 211189, China)

  • Shuyan Chen

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modem Urban Traffic Technologies, Southeast University, Nanjing 211189, China)

  • Aemal J. Khattak

    (Nebraska Transportation Center, 330E Whittier Research Center, University of Nebraska-Lincoln, 2200 Vine Street, Lincoln, NE 68583-0851, USA)

  • Zheng Cao

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China)

  • Muhammad Zubair

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China)

  • Xue Han

    (Civil Engineering College, Wanjiang University of Technology, No. 333 Huolishan Avenue, Ma’anshan 243031, China)

  • Xiaojian Hu

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China)

Abstract

Traveler emotional well-being as a specific domain of subjective well-being has attracted attention across the field of transportation. Studies on identifying factors of travel-related emotional well-being can help policy makers to formulate concrete strategies to improve travelers’ experiences and public health. This research used the Maximal Information Coefficient (MIC) to select important factors which have much influence on emotional well-being during travel. American Time Use Survey data collected in 2010, 2012, and 2013 were used in this study and 10 factors have been selected to illustrate the relationship with emotional well-being, including rest, weekly earnings, activity time for well-being, health, self-evaluation of activities, pain medication taken yesterday, travel purpose, travel duration, weekly working hours and age based on MIC values in Descending sort. Among these 10 selected features, 2 factors, travel purpose and travel duration, are related to travel contexts; the other factors are related to personal and social characteristics. It is found that an individual’s physical condition and self-evaluation of activities have much influence on travel-related emotional well-being, while traveling mode and interaction during travel have a relatively small impact on emotional well-being compared to other identified factors. This finding is different from previous research findings. The paper presents traffic strategies related to improving emotional well-being of travelers while traveling based on the findings from this research.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:4326-:d:786815
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    1. Xilong Lin & Yisen Niu & Zixuan Yan & Lianglin Zou & Ping Tang & Jifeng Song, 2024. "Hybrid Photovoltaic Output Forecasting Model with Temporal Convolutional Network Using Maximal Information Coefficient and White Shark Optimizer," Sustainability, MDPI, vol. 16(14), pages 1-20, July.
    2. 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.

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