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Enjoyment of commute: A comparison of different transportation modes

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  • Páez, Antonio
  • Whalen, Kate

Abstract

This study investigates how socio-demographic and attitudinal variables of university students affect their desire to increase or decrease their daily commute. The case study is McMaster University in Hamilton, Canada, and data was obtained by means of a web-based survey that included questions regarding travel behavior, socio-demographic information, and attitudes toward travel, land use, and the environment. The objective variable is defined as the ratio of ideal to actual commute time, and regression analysis is implemented to test the relationship between this variable and socio-demographic variables and attitudinal scores. The impact of different attitudes on the gap between ideal and actual commute time is expanded to include three different modes, active travel (walk/cycle), transit, and personal automobile. Interestingly, the results indicate that active travelers tend to be less dissatisfied with their commute, followed by those who travel in a personal vehicle and transit users. A number of attitudinal responses are shown to impact the desire to travel more or less, including variables that relate to the social environment, availability of local activities, quality of facilities, productive use of the commute, and the intrinsic value found in the commute travel. The picture emerges of a traveler who would like to spend more time commuting, as someone who is an active traveler, thinks that getting there is half the fun, dislikes traveling alone, but rather likes to live in an active neighborhood where there is a sense of community. The results suggests that enjoyment of commuting, while a challenge from the perspective of motorized mobility, may provide valuable policy opportunities from the perspective of active transportation.

Suggested Citation

  • Páez, Antonio & Whalen, Kate, 2010. "Enjoyment of commute: A comparison of different transportation modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 537-549, August.
  • Handle: RePEc:eee:transa:v:44:y:2010:i:7:p:537-549
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Maarten Kroesen & Susan Handy, 2014. "The relation between bicycle commuting and non-work cycling: results from a mobility panel," Transportation, Springer, vol. 41(3), pages 507-527, May.
    2. Stathopoulos, Amanda & Hess, Stephane, 2012. "Revisiting reference point formation, gains–losses asymmetry and non-linear sensitivities with an emphasis on attribute specific treatment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1673-1689.
    3. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    4. Antonio Páez & Steven Farber, 2012. "Participation and desire: leisure activities among Canadian adults with disabilities," Transportation, Springer, vol. 39(6), pages 1055-1078, November.
    5. Mao, Zidan & Ettema, Dick & Dijst, Martin, 2016. "Commuting trip satisfaction in Beijing: Exploring the influence of multimodal behavior and modal flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 592-603.
    6. De Borger, Bruno & Wuyts, Bart, 2011. "The structure of the labor market, telecommuting, and optimal peak period congestion tolls: A numerical optimization model," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 426-438, September.
    7. Cynthia Jacques & Kevin Manaugh & Ahmed El-Geneidy, 2013. "Rescuing the captive [mode] user: an alternative approach to transport market segmentation," Transportation, Springer, vol. 40(3), pages 625-645, May.
    8. Manaugh, Kevin & El-Geneidy, Ahmed M., 2013. "Does distance matter? Exploring the links among values, motivations, home location, and satisfaction in walking trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 198-208.
    9. Anais Mathez & Kevin Manaugh & Vincent Chakour & Ahmed El-Geneidy & Marianne Hatzopoulou, 2013. "How can we alter our carbon footprint? Estimating GHG emissions based on travel survey information," Transportation, Springer, vol. 40(1), pages 131-149, January.
    10. Lavery, T.A. & Páez, A. & Kanaroglou, P.S., 2013. "Driving out of choices: An investigation of transport modality in a university sample," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 37-46.
    11. repec:eee:transa:v:103:y:2017:i:c:p:211-222 is not listed on IDEAS
    12. 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.
    13. Amanda Stathopoulos & Stephane Hess, 2011. "Referencing, Gains-Losses Asymmetry And Non-Linear Sensitivities In Commuter Decisions: One Size Does Not Fit All!," Working Papers 0511, CREI Università degli Studi Roma Tre, revised 2011.
    14. Werner, Carol M. & Brown, Barbara B. & Tribby, Calvin P. & Tharp, Doug & Flick, Kristi & Miller, Harvey J. & Smith, Ken R. & Jensen, Wyatt, 2016. "Evaluating the attractiveness of a new light rail extension: Testing simple change and displacement change hypotheses," Transport Policy, Elsevier, vol. 45(C), pages 15-23.
    15. Patricia Mokhtarian & Francis Papon & Matthieu Goulard & Marco Diana, 2015. "What makes travel pleasant and/or tiring? An investigation based on the French National Travel Survey," Transportation, Springer, vol. 42(6), pages 1103-1128, November.
    16. repec:eee:transa:v:106:y:2017:i:c:p:364-373 is not listed on IDEAS

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