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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
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    References listed on IDEAS

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    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.
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    3. 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.
    4. 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.
    5. 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.
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    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.

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