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Passenger terminal design

Author

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  • Odoni, Amedeo R.
  • de Neufville, Richard

Abstract

The standard procedures for sizing the spaces for passenger activities in airport terminals are unsatisfactory in that they easily lead to expensive errors. The essential difficulty lies in the nature of the process, and in particular with the several formulas which specify the area per passenger in different parts of the building. The process and these formulas are insensitive both to the variations in the operational characteristics of terminals and to the overall variability in the level and nature of the traffic. This paper presents practical procedures for incorporating such considerations into terminal design, based both on theory and on experience internationally at major airports. The approach builds upon detailed consideration of the sequences of flows of the passengers, their likely dwell-time in each facility, and their psychological response to the configuration of the spaces. The overall objective is to create flexible designs that use space efficiently under the broad range of conditions that may prevail. It entails an iterative process of exploring the response of design options to different patterns of loads. This approach invites computerized models of the performance of terminals with spreadsheet-like capability to answer "what-if" questions rapidly.

Suggested Citation

  • Odoni, Amedeo R. & de Neufville, Richard, 1992. "Passenger terminal design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 26(1), pages 27-35, January.
  • Handle: RePEc:eee:transa:v:26:y:1992:i:1:p:27-35
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    Citations

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    Cited by:

    1. Sultan Alodhaibi & Robert L. Burdett & Prasad K.D.V. Yarlagadda, 2020. "A Framework for Sharing Staff between Outbound and Inbound Airport Processes," Mathematics, MDPI, vol. 8(6), pages 1-18, June.
    2. Reinhold, Annika & Niemeier, Hans-Martin & Kamp, Vanessa & Müller, Jürgen, 2010. "An evaluation of yardstick regulation for European airports," Journal of Air Transport Management, Elsevier, vol. 16(2), pages 74-80.
    3. Kim, Tae Hyun & Wu, Cheng-Lung & Koo, Tae-Ryang, 2017. "Implications of the ageing society and internationalisation for airport services: A perspective on passenger demand for personal space at airport terminals," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 84-92.
    4. Brunetta, Lorenzo & Righi, Luca & Andreatta, Giovanni, 1999. "An operations research model for the evaluation of an airport terminal: SLAM (simple landside aggregate model)," Journal of Air Transport Management, Elsevier, vol. 5(3), pages 161-175.
    5. Wu, Paul Pao-Yen & Mengersen, Kerrie, 2013. "A review of models and model usage scenarios for an airport complex system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 124-140.
    6. KIyIldI, R. Koray & Karasahin, M., 2008. "The capacity analysis of the check-in unit of Antalya Airport using the fuzzy logic method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 610-619, May.
    7. Tuchen, Stefan & Arora, Mohit & Blessing, Lucienne, 2020. "Airport user experience unpacked: Conceptualizing its potential in the face of COVID-19," Journal of Air Transport Management, Elsevier, vol. 89(C).
    8. Huang, PoTsang B. & Yu, Tsung-Ying & Chou, Yuan-ju & Lin, Yi-Ching, 2016. "Simulation method for dispatching national border security manpower to mitigate manpower shortage," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 43-51.

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