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Airport classification based on cargo characteristics

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  • Mayer, Robert

Abstract

Air cargo has received little attention in airport research. In this paper, 114 airports are grouped according to their cargo business characteristics. Applying a hierarchical cluster analysis, the paper uses absolute (cargo tonnage) and relative measures (share of cargo work load units, of freighter movements and of international cargo) to establish the reliance of different airport types and groupings on air cargo. Eight distinct clusters are identified which show clear differences in the characteristics of the sample with regard to cargo activities. Geographic patterns of these airports are also revealed. For example, North American and European airports are characterised by features unique to these regions. Airports that are highly dependent on air cargo tend to benefit from a central location within networks of cargo airlines, while other airports with high cargo volumes generate these as a result of significant belly-capacity of passenger operations. Understanding the heterogeneity of cargo airports is important for future benchmarking studies in this field.

Suggested Citation

  • Mayer, Robert, 2016. "Airport classification based on cargo characteristics," Journal of Transport Geography, Elsevier, vol. 54(C), pages 53-65.
  • Handle: RePEc:eee:jotrge:v:54:y:2016:i:c:p:53-65
    DOI: 10.1016/j.jtrangeo.2016.05.011
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    2. Sören Wallbach & Katrin Coleman & Ralf Elbert & Alexander Benlian, 2019. "Multi-sided platform diffusion in competitive B2B networks: inhibiting factors and their impact on network effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 693-710, December.
    3. Pacagnella, Antônio Carlos & Hollaender, Paulo Sodre & Mazzanati, Giovanni Vitale & Bortoletto, Wagner Wilson, 2021. "Efficiency drivers of international airports: A worldwide benchmarking study," Journal of Air Transport Management, Elsevier, vol. 90(C).
    4. Akinyemi, Yingigba Chioma, 2023. "Air cargo demand in Africa: Application of cointegration and error correction modelling techniques," Journal of Air Transport Management, Elsevier, vol. 109(C).
    5. Wallbach, Sören, 2020. "Assimilation and Diffusion of Multi-Sided Platforms in Dynamic B2B Networks: Inhibiting Factors and Their Consequences," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123277, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Lázaro Florido-Benítez, 2023. "The Role of the Top 50 US Cargo Airports and 25 Air Cargo Airlines in the Logistics of E-Commerce Companies," Logistics, MDPI, vol. 7(1), pages 1-27, February.
    7. Gong, Qiang & Wang, Kun & Fan, Xingli & Fu, Xiaowen & Xiao, Yi-bin, 2018. "International trade drivers and freight network analysis - The case of the Chinese air cargo sector," Journal of Transport Geography, Elsevier, vol. 71(C), pages 253-262.
    8. Yuen, Andrew & Zhang, Anming & Hui, Yer Van & Leung, Lawrence C. & Fung, Michael, 2017. "Is developing air cargo airports in the hinterland the way of the future?," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 15-25.
    9. Hubbard, John R. & Mitra, Subhro & Miller, Chad R., 2019. "Analyzing human capital as a component of the aerotropolis model," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 63-70.
    10. 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).
    11. Bierwirth, Benjamin & Schwanecke, Ulrich & Gietzen, Thomas & Lopéz, Daniel Andrés & Brylka, Robert, 2019. "SmartAirCargoTrailer: Autonomous short distance transports in air cargo," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg Int, volume 27, pages 151-185, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    12. Chen, Zhe & Jiang, Hai, 2020. "Impacts of high-speed rail on domestic air cargo traffic in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 1-13.

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