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Making time count: Traveler activity engagement on urban transit

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  • Frei, Charlotte
  • Mahmassani, Hani S.
  • Frei, Andreas

Abstract

In practice, travel time is assigned a cost and treated as a disutility to be minimized. There is a growing body of research supporting the hypothesis that travel time has some value of its own, and the proliferation of information and communication technology (ICT) may be contributing to that value. Travelers’ attitudes are confounded with their mode choice, and as telecommunications mediate travel behavior, analysts must recognize the interaction between time use and customer satisfaction for appropriate travel demand management. To that end, this paper presents results from jointly estimated models of travelers’ latent satisfaction and on-board activity engagement using Chicago transit rider data gathered in April 2010. The simple questionnaire and small sample corroborate the findings of past research indicating travel attitudes and activity engagement have potential to influence travelers’ value of time, and many transit riders consider transit a better use of time and/or money than driving. The findings affirm the need for a more holistic understanding of value of time for travel demand management and infrastructure valuation. As time use has an influence on users’ valuation of the transit mode, offering opportunities to conduct certain leisure activities could improve the perceived value of travel time.

Suggested Citation

  • Frei, Charlotte & Mahmassani, Hani S. & Frei, Andreas, 2015. "Making time count: Traveler activity engagement on urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 58-70.
    • Handle: RePEc:eee:transa:v:76:y:2015:i:c:p:58-70
    DOI: 10.1016/j.tra.2014.12.007
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    References listed on IDEAS

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    14. Molin, Eric & Adjenughwure, Kingsley & de Bruyn, Menno & Cats, Oded & Warffemius, Pim, 2020. "Does conducting activities while traveling reduce the value of time? Evidence from a within-subjects choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 18-29.
    15. Shamshiripour, Ali & Rahimi, Ehsan & (Kouros) Mohammadian, Abolfazl & Auld, Joshua, 2020. "Investigating the influence of latent lifestyles on productive travels: Insights into designing autonomous transit system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 469-484.
    16. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    17. Tang, Jia & Mokhtarian, Patricia L. & Zhen, Feng, 2020. "How do passengers allocate and evaluate their travel time? Evidence from a survey on the Shanghai–Nanjing high speed rail corridor, China," Journal of Transport Geography, Elsevier, vol. 85(C).
    18. Craig A. Talmage & Chad Frederick, 2019. "Quality of Life, Multimodality, and the Demise of the Autocentric Metropolis: A Multivariate Analysis of 148 Mid-Size U.S. Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 365-390, January.
    19. Roger B. Chen & Christopher Valant, 2023. "Stability and Convergence in Matching Processes for Shared Mobility Systems," Networks and Spatial Economics, Springer, vol. 23(2), pages 469-486, June.
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