IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v47y2020i2d10.1007_s11116-018-9899-y.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-018-9899-y
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-018-9899-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wiemann, Paul F.V. & Klein, Nadja & Kneib, Thomas, 2022. "Correcting for sample selection bias in Bayesian distributional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    2. Mikhail Zhelonkin & Marc G. Genton & Elvezio Ronchetti, 2016. "Robust inference in sample selection models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 805-827, September.
    3. Pérez Urdiales, María & Libra, Jesse Madden & Machado, Kleber & Serebrisky, Tomás & Solís, Ben, 2022. "Water Bill Perception in Brazil: Do Households Get It Right?," IDB Publications (Working Papers) 12212, Inter-American Development Bank.
    4. 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.
    5. María Á. García-Valiñas & Roberto Martínez-Espiñeira & Marta Suárez-Varela Maciá, 2021. "Price and Consumption Misperception Profiles: The Role of Information in the Residential Water Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 821-857, December.
    6. Wojtyś, Małgorzata & Marra, Giampiero & Radice, Rosalba, 2018. "Copula based generalized additive models for location, scale and shape with non-random sample selection," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 1-14.
    7. Teimuraz Gogokhia & George Berulava, 2021. "Business environment reforms, innovation and firm productivity in transition economies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 221-245, June.
    8. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    9. Lo Turco, Alessia & Maggioni, Daniela, 2018. "Effects of Islamic religiosity on bilateral trust in trade: The case of Turkish exports," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 947-965.
    10. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    11. Catherine Sofer & Claire Thibout, 2019. "Women’s investment in career and the household division of labour," Applied Economics, Taylor & Francis Journals, vol. 51(60), pages 6535-6557, December.
    12. Larry W. Hunter, 2000. "What Determines Job Quality in Nursing Homes?," ILR Review, Cornell University, ILR School, vol. 53(3), pages 463-481, April.
    13. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    14. Ellis, Jimmy R. & Gershenson, Seth, 2016. "LATE for the Meeting: Gender, Peer Advising, and College Success," IZA Discussion Papers 9956, Institute of Labor Economics (IZA).
    15. Maria Luisa Mancusi & Andrea Vezzulli & Serena Frazzoni & Zeno Rotondi & Maurizio Sobrero, 2018. "Export and Innovation in Small and Medium Enterprises: The Role of Concentrated Bank Borrowing," Economica, London School of Economics and Political Science, vol. 85(337), pages 177-204, January.
    16. Saul Estrin & Julia Korosteleva & Tomasz Mickiewicz, 2022. "Schumpeterian Entry: Innovation, Exporting, and Growth Aspirations of Entrepreneurs," Entrepreneurship Theory and Practice, , vol. 46(2), pages 269-296, March.
    17. S. I. Dolgikh & B. S. Potanin, 2023. "The Impact of Public Administration on the Efficiency of Russian Firms," Studies on Russian Economic Development, Springer, vol. 34(1), pages 59-67, February.
    18. Barış Alpaslan & Julide Yildirim, 2020. "The Missing Link: Are Individuals with More Social Capital in Better Health? Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 811-834, August.
    19. Stephan Wachtel & Thomas Otter, 2013. "Successive Sample Selection and Its Relevance for Management Decisions," Marketing Science, INFORMS, vol. 32(1), pages 170-185, September.
    20. Tocco, Barbara & Bailey, Alastair & Davidova, Sophia, 2013. "Determinants to Leave Agriculture and Change Occupational Sector: Evidence from an Enlarged EU," Working papers 155704, Factor Markets, Centre for European Policy Studies.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:47:y:2020:i:2:d:10.1007_s11116-018-9899-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.