IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v8y2016i1d10.1007_s12469-016-0120-4.html
   My bibliography  Save this article

Modeling air passengers’ rescheduling strategies for airport service lines based on an empirical study with the aid of a virtual 3-D computer graphic environment

Author

Listed:
  • Xuan Liu

    (Mississippi State University)

  • John M. Usher

    (Mississippi State University)

Abstract

This study investigates the rescheduling behavior of pedestrians using airport services based on air passengers’ socio-demographic information and environmental attributes of the airport. It is a part of an overall project involving the development of an intermodal simulator for analyzing pedestrian traffic within intermodal facilities, which requires an understanding of pedestrian behavior. This paper presents a Multinomial Logit (MNL) model for simulating the rescheduling decision making behavioral responses of air passengers. A stated preference survey incorporating the use of a virtual 3D computer-graphic model is employed for data collection. The resulting data is then used for model estimation and validation. The empirical results show that the MNL model is able to predict air passengers’ rescheduling strategies.

Suggested Citation

  • Xuan Liu & John M. Usher, 2016. "Modeling air passengers’ rescheduling strategies for airport service lines based on an empirical study with the aid of a virtual 3-D computer graphic environment," Public Transport, Springer, vol. 8(1), pages 57-84, March.
  • Handle: RePEc:spr:pubtra:v:8:y:2016:i:1:d:10.1007_s12469-016-0120-4
    DOI: 10.1007/s12469-016-0120-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-016-0120-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12469-016-0120-4?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. Andrew Clark & Sean Doherty, 2010. "A multi-instrumented approach to observing the activity rescheduling decision process," Transportation, Springer, vol. 37(1), pages 165-181, January.
    2. Lesley Strawderman & Hohyun Lee & John M. Usher, 2010. "Utilization of behavioral studies in developing the intermodal simulator for the analysis of pedestrian traffic (ISAPT)," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(3), pages 281-295, February.
    3. Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
    4. Stefan Richter & Stefan Voss & Julian Wulf, 2011. "A passenger movement forecast and optimisation system for airport terminals," International Journal of Aviation Management, Inderscience Enterprises Ltd, vol. 1(1/2), pages 58-69.
    5. Lee, Ming-Sheng, 2001. "Experiments With A Computerized Self-Administrative Activity Survey," University of California Transportation Center, Working Papers qt55h7r7x0, University of California Transportation Center.
    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. Changhee Kim & Hongsuk Yang & Soo Wook Kim, 2018. "Optimal baggage sorting rule to reduce waiting time in baggage claim," Service Business, Springer;Pan-Pacific Business Association, vol. 12(2), pages 435-451, June.

    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. Watcharasukarn, Montira & Page, Shannon & Krumdieck, Susan, 2012. "Virtual reality simulation game approach to investigate transport adaptive capacity for peak oil planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 348-367.
    2. Ming Lee & Michael McNally, 2006. "An empirical investigation on the dynamic processes of activity scheduling and trip chaining," Transportation, Springer, vol. 33(6), pages 553-565, November.
    3. Ruiz, Tomás & Timmermans, Harry, 2008. "Changing the duration of activities in resolving scheduling conflicts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 347-359, February.
    4. Lee, Ming S. & McNally, Michael G., 2003. "On the structure of weekly activity/travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 823-839, December.
    5. Hahnel, Ulf J.J. & Gölz, Sebastian & Spada, Hans, 2013. "How accurate are drivers’ predictions of their own mobility? Accounting for psychological factors in the development of intelligent charging technology for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 123-131.
    6. Andrew Clark & Sean Doherty, 2010. "A multi-instrumented approach to observing the activity rescheduling decision process," Transportation, Springer, vol. 37(1), pages 165-181, January.
    7. Tomás Ruiz & Harry Timmermans, 2006. "Changing the timing of activities in resolving Scheduling Conflicts," Transportation, Springer, vol. 33(5), pages 429-445, September.
    8. Lee-Gosselin, Martin & Miranda-Moreno, Luis F., 2009. "What is different about urban activities of those with access to ICTs? Some early evidence from Québec, Canada," Journal of Transport Geography, Elsevier, vol. 17(2), pages 104-114.
    9. Shaheen, Susan A. & Wright, John, 2001. "Research Approach and Early Findings," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8f8803dx, Institute of Transportation Studies, UC Berkeley.
    10. Luis Miranda-Moreno & Martin Lee-Gosselin, 2008. "A week in the life of baby boomers: how do they see the spatial–temporal organization of their activities and travel?," Transportation, Springer, vol. 35(5), pages 629-653, August.
    11. Dujuan Yang & Harry Timmermans & Aloys Borgers, 2016. "The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment," Transportation, Springer, vol. 43(1), pages 79-100, January.
    12. Sheila Ferrer & Tomás Ruiz, 2017. "Comparison on travel scheduling between driving and walking trips by habitual car users," Transportation, Springer, vol. 44(1), pages 27-48, January.
    13. Zuoxian Gan & Min Yang & Tao Feng & Harry Timmermans, 2020. "Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations," Transportation, Springer, vol. 47(1), pages 315-336, February.
    14. Ron Buliung & Matthew Roorda & Tarmo Remmel, 2008. "Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)," Transportation, Springer, vol. 35(6), pages 697-722, November.
    15. Zhou, Jianyu (Jack) & Golledge, Reginald, 2007. "Real-time tracking of activity scheduling/schedule execution within a unified data collection framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 444-463, June.
    16. Fang, Zhixiang & Tu, Wei & Li, Qingquan & Li, Qiuping, 2011. "A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities," Journal of Transport Geography, Elsevier, vol. 19(4), pages 623-634.
    17. Clarke Wilson, 2006. "Reliability of Sequence-Alignment Analysis of Social Processes: Monte Carlo Tests of Clustalg Software," Environment and Planning A, , vol. 38(1), pages 187-204, January.
    18. Auld, Joshua & Mohammadian, Abolfazl(Kouros), 2012. "Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1386-1403.
    19. Tommy Gärling & Kay Axhausen, 2003. "Introduction: Habitual travel choice," Transportation, Springer, vol. 30(1), pages 1-11, February.
    20. Ying Hui & Mengtao Ding & Kun Zheng & Dong Lou, 2017. "Observing Trip Chain Characteristics of Round-Trip Carsharing Users in China: A Case Study Based on GPS Data in Hangzhou City," Sustainability, MDPI, vol. 9(6), pages 1-15, June.

    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:spr:pubtra:v:8:y:2016:i:1:d:10.1007_s12469-016-0120-4. 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.