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Decisions on truck parking place and time on expressways: an analysis using digital tachograph data

Author

Listed:
  • Hajime Seya

    (Kobe University)

  • Junyi Zhang

    (Hiroshima University)

  • Makoto Chikaraishi

    (Hiroshima University)

  • Ying Jiang

    (University of Washington)

Abstract

With the objective of deriving useful insights into measures against traffic congestion at service areas (SAs) and parking areas (PAs) on expressways and ensuring efficient use of SAs/PAs, this study investigated the decisions on where a truck is parked (i.e., choice of an SA or a PA), how long it is parked (i.e., parking time), and their influential factors. To this end, this study used the trajectory data of 1600 trucks recorded in 6-min intervals by in-vehicle digital tachographs on the Sanyo and Chugoku Expressways in Japan from October 2013 to March 2014. First, the aspect of repeated choice of each truck (i.e., habitual behavior) toward a specific SA/PA was clarified. Next, a multilevel discrete–continuous model (Type II Tobit model) was developed to reveal the factors affecting the above decisions. The modeling results confirmed the existence of habitual behavior and showed that trucks were more likely to be parked a longer time at an SA/PA when it is closer to the destination. It appears that truck drivers may adjust their time at the SA/PA close to the destination to comply with the arrival time, which is often predetermined by the owner of the transported goods. Furthermore, the availability of restaurants and shops, and the number of parking spaces available for trucks and trailers are important determinants of parking time, whereas the existence of a convenience store is important to the choice of the SA/PA. Parking experience has an extremely strong positive effect on the parking choice and use. Moreover, increasing the number of parking lots may induce its longer use.

Suggested Citation

  • Hajime Seya & Junyi Zhang & Makoto Chikaraishi & Ying Jiang, 2020. "Decisions on truck parking place and time on expressways: an analysis using digital tachograph data," Transportation, Springer, vol. 47(2), pages 555-583, April.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:2:d:10.1007_s11116-018-9899-y
    DOI: 10.1007/s11116-018-9899-y
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    References listed on IDEAS

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    1. R. Bellio & E. Gori, 2003. "Impact evaluation of job training programmes: Selection bias in multilevel models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(8), pages 893-907.
    2. Leonardo Grilli & Carla Rampichini, 2010. "Selection bias in linear mixed models," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 309-329.
    3. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    4. Marra, Giampiero & Radice, Rosalba, 2013. "Estimation of a regression spline sample selection model," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 158-173.
    5. Kazuo Nishii & Kuniaki Sasaki & Jun Tanabe & Shun-Ichi Yoshihara, 2014. "An Empirical Model of Expressway Drivers Behaviors on Stopover at sa/pa involving the Location Choice," ERSA conference papers ersa14p399, European Regional Science Association.
    6. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
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    Cited by:

    1. Marina Kouta & Yorgos Stephanedes, 2023. "Disaggregate Modelling for Estimating Location Choice of Safe and Secure Truck Parking Areas: A Case Study," Sustainability, MDPI, vol. 15(20), pages 1-20, October.
    2. Miloš Poliak & Adela Poliaková & Kristián Čulík, 2020. "Impact of the Social Law on Truck Parking Sustainability in the EU," Sustainability, MDPI, vol. 12(22), pages 1-16, November.

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