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Impact of individual daily travel pattern on value of time

Author

Listed:
  • Rajesh Paleti
  • Peter Vovsha
  • Danny Givon
  • Yehoshua Birotker

Abstract

A traveler’s willingness to pay for travel time savings depends on his/her socio-economic characteristics, travel purpose, and situational factors such as time pressure under which the travel is undertaken. Earlier literature on value of time (VOT) analysis focused mostly on the first two factors but did not examine the last factor thoroughly. However, in the real world we expect that (at least in most cases) a worker would be willing to pay more during the before-work period than during the after-work period since most of the workers should reach their respective work places by a certain time while the after-work schedule in general should be more relaxed. The additional time pressure during the before-work period makes time more valuable, thus increasing VOT. In some cases, where a worker with a flexible schedule has a high-priority post-work activity with a fixed schedule (for example, tickets to a concert) the situation can be reversed. The current study aims to capture such impacts of daily activity patterns on a person’s VOT using a comprehensive trip segmentation framework that is comprised of several integrated mode and trip departure time-of-day choice models. Each of these integrated models was estimated using both Revealed Preference and Stated Preference data from a large-scale GPS-assisted Household Travel Survey undertaken in Jerusalem, Israel. The results not only confirm the long-held hypothesis about variation of VOT by socio-economic factors and trip purpose but also shed light on the variation of VOT with daily travel patterns. To our knowledge, this is the first attempt to develop a rigorous modeling framework for capturing variation of VOT as a function of the individual daily activity pattern. An additional feature of the proposed approach is that it was practically implemented within the framework of an applied activity-based model. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Rajesh Paleti & Peter Vovsha & Danny Givon & Yehoshua Birotker, 2015. "Impact of individual daily travel pattern on value of time," Transportation, Springer, vol. 42(6), pages 1003-1017, November.
    • Handle: RePEc:kap:transp:v:42:y:2015:i:6:p:1003-1017
    DOI: 10.1007/s11116-015-9654-6
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    References listed on IDEAS

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    Cited by:

    1. Yue Liu & Jun Chen & Weiguang Wu & Jiao Ye, 2019. "Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    2. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    3. Mahmud, Asif & Gayah, Vikash V. & Paleti, Rajesh, 2022. "A latent choice model to analyze the role of preliminary preferences in shaping observed choices," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 95-108.
    4. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.

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