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What is the busiest time at an airport? Clustering U.S. hub airports based on passenger movements

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  • Gao, Yi

Abstract

Accurate clustering of airports enables airport authorities and operators to precisely position themselves in the competitive market, facilitates airlines to efficiently allocate resources, and empowers the research community with credible data for new discoveries. Existing clustering studies largely use traffic volume, network connectivity, or operational efficiency to group airports into hierarchical clusters or parallel partitions. Developing a different perspective, this study focuses upon a key bottleneck of outbound passenger movements in airport terminals, the security checkpoints, and uses the Transportation Security Administration (TSA) Customer Throughput/Wait Times Reports to cluster hub airports of the United States. With the input data structured as univariate time-series, k-shape, a clustering algorithm that is robust to time axis distortion and computationally efficient, is selected to analyze the similarity of time-series using shape-based distance. The clustering results are validated by examining the raw and z-normalized data of selected airport clusters on six sampled dates. Analysis results indicate that k-shape is competent and efficient to process and cluster time-series data used for this specific research. This study offers a fresh perspective to cluster commercial airports using an infrequently employed dataset. The clustering results reveal how the geographical location, hub status in airlines' operational network, and destination type of an airport affect the movement of outbound passengers through terminals

Suggested Citation

  • Gao, Yi, 2021. "What is the busiest time at an airport? Clustering U.S. hub airports based on passenger movements," Journal of Transport Geography, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:jotrge:v:90:y:2021:i:c:s0966692320310085
    DOI: 10.1016/j.jtrangeo.2020.102931
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    1. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June.
    2. Gao, Yi, 2020. "Estimating the sensitivity of small airport catchments to competition from larger airports: A case study in Indiana," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Gillen, David & Hazledine, Tim, 2015. "The economics and geography of regional airline services in six countries," Journal of Transport Geography, Elsevier, vol. 46(C), pages 129-136.
    4. Suau-Sanchez, Pere & Burghouwt, Guillaume, 2011. "The geography of the Spanish airport system: spatial concentration and deconcentration patterns in seat capacity distribution, 2001–2008," Journal of Transport Geography, Elsevier, vol. 19(2), pages 244-254.
    5. Wong, Wai-Hung & Zhang, Anming & Cheung, Tommy King-Yin & Chu, Jeremy, 2019. "Examination of low-cost carriers' development at secondary airports using a comprehensive world airport classification," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 96-105.
    6. Earo Wang & Dianne Cook & Rob J Hyndman, 2019. "A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data," Monash Econometrics and Business Statistics Working Papers 12/19, Monash University, Department of Econometrics and Business Statistics.
    7. Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere & Voltes-Dorta, Augusto, 2013. "Classifying airports according to their hub dimensions: an application to the US domestic network," Journal of Transport Geography, Elsevier, vol. 33(C), pages 188-195.
    8. Magalhães, Liliana & Reis, Vasco & Macário, Rosário, 2015. "Can flexibility make the difference to an airport's productivity? An assessment using cluster analysis," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 90-101.
    9. Suau-Sanchez, Pere & Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor, 2015. "Regulatory airport classification in the US: The role of international markets," Transport Policy, Elsevier, vol. 37(C), pages 157-166.
    10. Emil Gegov & M. Nadia Postorino & Mark Atherton & Fernand Gobet, 2013. "Community Structure Detection In The Evolution Of The United States Airport Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-21.
    11. Vogel, Hans-Arthur & Graham, Anne, 2013. "Devising airport groupings for financial benchmarking," Journal of Air Transport Management, Elsevier, vol. 30(C), pages 32-38.
    12. Donnet, Timothy & Ryley, Tim & Lohmann, Gui & Spasojevic, Bojana, 2018. "Developing a Queensland (Australia) aviation network strategy: Lessons from three international contexts," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 1-14.
    13. Mayer, Robert, 2016. "Airport classification based on cargo characteristics," Journal of Transport Geography, Elsevier, vol. 54(C), pages 53-65.
    14. Jia, Tao & Jiang, Bin, 2012. "Building and analyzing the US airport network based on en-route location information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 4031-4042.
    15. Adikariwattage, V. & de Barros, Alexandre G. & Wirasinghe, S.C. & Ruwanpura, Janaka, 2012. "Airport classification criteria based on passenger characteristics and terminal size," Journal of Air Transport Management, Elsevier, vol. 24(C), pages 36-41.
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    2. Yao, Haifang & Huang, Yingying & Liu, Jinsong, 2023. "Study on travel behavior characteristics of air passengers in an airport hinterland," Journal of Air Transport Management, Elsevier, vol. 112(C).

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