IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v71y2018icp27-33.html
   My bibliography  Save this article

Evaluation of wait times and queue lengths at ferry terminals

Author

Listed:
  • Findley, Daniel J.
  • Anderson, Tracy J.
  • Bert, Steven A.
  • Nye, Timothy
  • Letchworth, Will

Abstract

Transportation systems often require travelers to wait for service. Observational data from a wait-time study at ferry terminals demonstrate that the amount of time a vehicle waits to board a ferry is highly dependent on that vehicle's position in line. Queue psychology suggests that unexplained waits, uncertainty, and anxiety make wait times for individuals seem longer. Thus, the vehicle position and wait time relationship can be used to equip ferry service providers with the knowledge to inform and pacify passengers waiting to board a ferry.

Suggested Citation

  • Findley, Daniel J. & Anderson, Tracy J. & Bert, Steven A. & Nye, Timothy & Letchworth, Will, 2018. "Evaluation of wait times and queue lengths at ferry terminals," Research in Transportation Economics, Elsevier, vol. 71(C), pages 27-33.
    • Handle: RePEc:eee:retrec:v:71:y:2018:i:c:p:27-33
    DOI: 10.1016/j.retrec.2018.06.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885918301458
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2018.06.009?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. Hong Huo & David Levinson, 2003. "Effectiveness of Variable Message Signs Using Empirical Loop Detector Data," Working Papers 000033, University of Minnesota: Nexus Research Group.
    2. Yingling Fan & Andrew Guthrie & David Levinson, 2015. "Perception of Waiting Time at Transit Stops and Stations," Working Papers 000127, University of Minnesota: Nexus Research Group.
    3. Nie, Winter, 2000. "Waiting: integrating social and psychological perspectives in operations management," Omega, Elsevier, vol. 28(6), pages 611-629, December.
    4. Dziekan, Katrin & Kottenhoff, Karl, 2007. "Dynamic at-stop real-time information displays for public transport: effects on customers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 489-501, July.
    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. Škurić, Maja & Maraš, Vladislav & Davidović, Tatjana & Radonjić, Aleksandar, 2021. "Optimal allocating and sizing of passenger ferry fleet in maritime transport," Research in Transportation Economics, Elsevier, vol. 90(C).

    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. Marina Lagune-Reutler & Andrew Guthrie & Yingling Fan & David Levinson, 2015. "Transit Riders' Perception of Waiting Time and Stops' Surrounding Environments," Working Papers 000142, University of Minnesota: Nexus Research Group.
    2. Zhou, Yuanyuan & Tsang, Alex S.L. & Huang, Minxue & Zhou, Nan, 2014. "Does delaying service-failure resolution ever make sense?," Journal of Business Research, Elsevier, vol. 67(2), pages 159-166.
    3. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    4. Matsumoto, Takayuki & Hidaka, Kazuyoshi, 2015. "Evaluation the effect of mobile information services for public transportation through the empirical research on commuter trains," Technology in Society, Elsevier, vol. 43(C), pages 144-158.
    5. Stefan Meinzer & Johann Prenninger & Patrick Vesel & Johannes Kornhuber & Judith Volmer & Joachim Hornegger & Björn M. Eskofier, 2016. "Translating satisfaction determination from health care to the automotive industry," Service Business, Springer;Pan-Pacific Business Association, vol. 10(4), pages 651-685, December.
    6. Mulley, Corinne & Clifton, Geoffrey Tilden & Balbontin, Camila & Ma, Liang, 2017. "Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 111-132.
    7. Cats, Oded & Loutos, Gerasimos, 2013. "Real-time bus arrival information system: an empirical evaluation," Working papers in Transport Economics 2013:25, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    8. Kari Watkins & Alan Borning & G. Rutherford & Brian Ferris & Brian Gill, 2013. "Attitudes of bus operators towards real-time transit information tools," Transportation, Springer, vol. 40(5), pages 961-980, September.
    9. Anne Brown & Whitney LaValle, 2021. "Hailing a change: comparing taxi and ridehail service quality in Los Angeles," Transportation, Springer, vol. 48(2), pages 1007-1031, April.
    10. Mark W Horner, 2010. "Exploring the Sensitivity of Jobs — Housing Statistics to Imperfect Travel Time Information," Environment and Planning B, , vol. 37(2), pages 367-375, April.
    11. Giacomo Lozzi & Valerio Gatta & Edoardo Marcucci, 2018. "European urban freight transport policies and research funding: are priorities and H2020 calls aligned?," REGION, European Regional Science Association, vol. 5, pages 53-71.
    12. Mahmood Mahmoodi Nesheli & Avishai (Avi) Ceder & Robin Brissaud, 2017. "Public transport service-quality elements based on real-time operational tactics," Transportation, Springer, vol. 44(5), pages 957-975, September.
    13. Wen Hua & Ghim Ping Ong, 2018. "Effect of information contagion during train service disruption for an integrated rail-bus transit system," Public Transport, Springer, vol. 10(3), pages 571-594, December.
    14. 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.
    15. Siti Raudhatul Fadilah & Hiroaki Nishiuchi & An Minh Ngoc, 2022. "The Impact of Traffic Information Provision and Prevailing Policy on the Route Choice Behavior of Motorcycles Based on the Stated Preference Experiment: A Preliminary Study," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    16. Yingling Fan & Andrew Guthrie & David Levinson, 2015. "Perception of Waiting Time at Transit Stops and Stations," Working Papers 000127, University of Minnesota: Nexus Research Group.
    17. Poulopoulou, Maria & Spyropoulou, Ioanna, 2019. "Active traffic management in urban areas: Is it effective for professional drivers? The case of variable message signs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 412-423.
    18. Kuo, Pei-Fen & Lord, Dominique, 2013. "Accounting for site-selection bias in before–after studies for continuous distributions: Characteristics and application using speed data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 256-269.
    19. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    20. Mujahid Ghouri, Arsalan & Mani, Venkatesh & Jiao, Zhilun & Venkatesh, V.G. & Shi, Yangyan & Kamble, Sachin S., 2021. "An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations," Technological Forecasting and Social Change, Elsevier, vol. 165(C).

    More about this item

    Keywords

    Ferry; Tourism; Travel; Waiting times; Queuing time; Time perception; Wait perception; Queue length; Queuing; Travel time; Ferry terminal; Wait anxiety; Queue anxiety; Information; Customer information; Travel information;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • Z30 - Other Special Topics - - Tourism Economics - - - General

    Statistics

    Access and download statistics

    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:eee:retrec:v:71:y:2018:i:c:p:27-33. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.