IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v70y2014icp245-260.html
   My bibliography  Save this article

New York, New York: Two ways of estimating the delay impact of New York airports

Author

Listed:
  • Hao, Lu
  • Hansen, Mark
  • Zhang, Yu
  • Post, Joseph

Abstract

High arrival delay at major airports tends to propagate and generate secondary delay through the National Airspace System (NAS). In the United States, it is widely believed that the major culprits for delay throughout the NAS are the three New York commercial airports – Newark (EWR), LaGuardia (LGA), and John F. Kennedy (JFK). Various estimates of the extent to which the New York airports impact the delay in the NAS have been reported over the years. Yet there is no thorough investigation into the mutual relationship between delays at New York and non-New York airports. In this paper, we take two different approaches to quantify the impact of the three New York airports on delay throughout the NAS. First, we estimate and apply an econometric model using a large historical dataset. The other model is the FAA SWAC model that simulates flights and tracks the daily performance of the system. The counterfactual scenarios in these two models are adjusted to be comparable to each other. There is disparity between the results of the two different models, suggesting the simulation model might not capture all the factors that cause arrival delay. Still both results conclude that the portion of delay in the system caused by New York airports is much less than publicized estimates. Combining econometric and simulation models to address questions of this nature appears to be a promising approach.

Suggested Citation

  • Hao, Lu & Hansen, Mark & Zhang, Yu & Post, Joseph, 2014. "New York, New York: Two ways of estimating the delay impact of New York airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 245-260.
  • Handle: RePEc:eee:transe:v:70:y:2014:i:c:p:245-260
    DOI: 10.1016/j.tre.2014.07.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554514001252
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2014.07.004?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. Swaroop, Prem & Zou, Bo & Ball, Michael O. & Hansen, Mark, 2012. "Do more US airports need slot controls? A welfare based approach to determine slot levels," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1239-1259.
    2. Zou, Bo & Hansen, Mark, 2012. "Impact of operational performance on air carrier cost structure: Evidence from US airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1032-1048.
    3. Diana, Tony, 2009. "Do market-concentrated airports propagate more delays than less concentrated ones? A case study of selected U.S. airports," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 280-286.
    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. Kim, Myeonghyeon & Park, Sunwook, 2021. "Airport and route classification by modelling flight delay propagation," Journal of Air Transport Management, Elsevier, vol. 93(C).
    2. Li, Qiang & Jing, Ranzhe, 2021. "Characterization of delay propagation in the air traffic network," Journal of Air Transport Management, Elsevier, vol. 94(C).
    3. Guo, Zhen & Hao, Mengyan & Yu, Bin & Yao, Baozhen, 2022. "Detecting delay propagation in regional air transport systems using convergent cross mapping and complex network theory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    4. Wu, Cheng-Lung & Law, Kristie, 2019. "Modelling the delay propagation effects of multiple resource connections in an airline network using a Bayesian network model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 62-77.
    5. Du, Wen-Bo & Zhang, Ming-Yuan & Zhang, Yu & Cao, Xian-Bin & Zhang, Jun, 2018. "Delay causality network in air transport systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 466-476.
    6. Kim, Myeonghyeon & Bae, Jiheon, 2021. "Modeling the flight departure delay using survival analysis in South Korea," Journal of Air Transport Management, Elsevier, vol. 91(C).
    7. Lall, Ashish, 2018. "Delays in the New York City metroplex," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 139-153.
    8. Chen, Yun-Hsuan & Lin, Jen-Jia, 2021. "Determinants of flight delays at East Asian airports from an airport, route and network perspective," Journal of Air Transport Management, Elsevier, vol. 94(C).
    9. Sternberg, Alice & Carvalho, Diego & Murta, Leonardo & Soares, Jorge & Ogasawara, Eduardo, 2016. "An analysis of Brazilian flight delays based on frequent patterns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 282-298.
    10. Ball, Michael O. & Berardino, Frank & Hansen, Mark, 2018. "The use of auctions for allocating airport access rights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 186-202.
    11. Kim, Amy Miyoung, 2016. "The impacts of changing flight demands and throughput performance on airport delays through the Great Recession," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 19-34.
    12. Yu, Bin & Guo, Zhen & Asian, Sobhan & Wang, Huaizhu & Chen, Gang, 2019. "Flight delay prediction for commercial air transport: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 203-221.
    13. Lin, Pei-Chun, 2023. "The propagation of European airports’ on-time performance and on-time flights via air connectivity prior to the Covid-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 109(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. Kafle, Nabin & Zou, Bo, 2016. "Modeling flight delay propagation: A new analytical-econometric approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 520-542.
    2. Zou, Bo & Hansen, Mark, 2014. "Flight delay impact on airfare and flight frequency: A comprehensive assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 54-74.
    3. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    4. Jacquillat, Alexandre & Odoni, Amedeo R., 2018. "A roadmap toward airport demand and capacity management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 168-185.
    5. Lay Eng Teoh & Hooi Ling Khoo, 2016. "Fleet Planning Decision-Making: Two-Stage Optimization with Slot Purchase," Journal of Optimization, Hindawi, vol. 2016, pages 1-12, June.
    6. Mahmut BAKIR & Şahap AKAN & Kasım KIRACI & Darjan KARABASEVIC & Dragisa STANUJKIC & Gabrijela POPOVIC, 2020. "Multiple-Criteria Approach of the Operational Performance Evaluation in the Airline Industry: Evidence from the Emerging Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 149-172, July.
    7. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    8. Kim, Amy & Hansen, Mark, 2015. "Some insights into a sequential resource allocation mechanism for en route air traffic management," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 1-15.
    9. Bilotkach, Volodymyr & Fageda, Xavier & Flores-Fillol, Ricardo, 2013. "Airline consolidation and the distribution of traffic between primary and secondary hubs," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 951-963.
    10. Kim, Amy & Hansen, Mark, 2013. "Deconstructing delay: A non-parametric approach to analyzing delay changes in single server queuing systems," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 119-133.
    11. Zou, Bo & Elke, Matthew & Hansen, Mark & Kafle, Nabin, 2014. "Evaluating air carrier fuel efficiency in the US airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 306-330.
    12. Ribeiro, Nuno Antunes & Jacquillat, Alexandre & Antunes, António Pais & Odoni, Amedeo R. & Pita, João P., 2018. "An optimization approach for airport slot allocation under IATA guidelines," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 132-156.
    13. Jacquillat, Alexandre & Odoni, Amedeo R., 2015. "Endogenous control of service rates in stochastic and dynamic queuing models of airport congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 133-151.
    14. Wu, Cheng-Lung & Truong, Tiffany, 2014. "Improving the IATA delay data coding system for enhanced data analytics," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 78-85.
    15. Kang, Lei & Hansen, Mark, 2017. "Behavioral analysis of airline scheduled block time adjustment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 56-68.
    16. Zhe Zheng & Wenbin Wei & Bo Zou & Minghua Hu, 2020. "How Late Does Your Flight Depart? A Quantile Regression Approach for a Chinese Case Study," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    17. Scotti, Davide & Volta, Nicola, 2017. "Profitability change in the global airline industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 102(C), pages 1-12.
    18. Presto, Felix & Gollnick, Volker & Lau, Alexander & Lütjens, Klaus, 2022. "Flight frequency regulation and its temporal implications," Transport Policy, Elsevier, vol. 116(C), pages 106-118.
    19. Nikolas Pyrgiotis & Amedeo Odoni, 2016. "On the Impact of Scheduling Limits: A Case Study at Newark Liberty International Airport," Transportation Science, INFORMS, vol. 50(1), pages 150-165, February.
    20. Alexandre Jacquillat & Vikrant Vaze, 2018. "Interairline Equity in Airport Scheduling Interventions," Transportation Science, INFORMS, vol. 52(4), pages 941-964, August.

    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:transe:v:70:y:2014:i:c:p:245-260. 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/600244/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.