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A comparative study of airport connectivity in China, Europe and US: Which network provides the best service to passengers?

Author

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  • Paleari, Stefano
  • Redondi, Renato
  • Malighetti, Paolo

Abstract

This paper investigates the connectivity of the airport networks in China, Europe and US. Our aim is to analyze which network is most beneficial to final passengers in terms of travel time and which of the network features lead to such a result. A time-dependent minimum path approach is employed to calculate the minimum travel time between each pair of airports in the three networks, inclusive of flight times and waiting times in intermediate airports. We evaluate each fastest indirect connection in terms of waiting times and routing factors to consider the effect of the hubs' coordination and locations. The Chinese network provides the quickest travels for passengers, but this performance is explained by a small number of airports per inhabitant. The US network is the most coordinated when considering indirect connections. The EU network provides the most homogeneous level of service when comparing airports of different sizes.

Suggested Citation

  • Paleari, Stefano & Redondi, Renato & Malighetti, Paolo, 2010. "A comparative study of airport connectivity in China, Europe and US: Which network provides the best service to passengers?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(2), pages 198-210, March.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:2:p:198-210
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    2. Ku, Edward C.S. & Chen, Fei-Hung & Wei, Kirsten, 2014. "Transition process activities and team efficacy of flight attendants," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 119-125.
    3. Wandelt, Sebastian & Sun, Xiaoqian, 2015. "Evolution of the international air transportation country network from 2002 to 2013," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 55-78.
    4. Boonekamp, Thijs & Burghouwt, Guillaume, 2017. "Measuring connectivity in the air freight industry," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 81-94.
    5. Fu, Xiaowen & Zhang, Anming & Lei, Zheng, 2012. "Will China’s airline industry survive the entry of high-speed rail?," Research in Transportation Economics, Elsevier, vol. 35(1), pages 13-25.
    6. repec:eee:transa:v:103:y:2017:i:c:p:490-508 is not listed on IDEAS
    7. Jiang, Yonglei & Yao, Baozhen & Wang, Lu & Feng, Tao & Kong, Lu, 2017. "Evolution trends of the network structure of Spring Airlines in China: A temporal and spatial analysis," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 18-30.
    8. 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.
    9. Ramos-Pérez, David, 2016. "State aid to airlines in Spain: An assessment of regional and local government support from 1996 to 2014," Transport Policy, Elsevier, vol. 49(C), pages 137-147.
    10. Allroggen, Florian & Wittman, Michael D. & Malina, Robert, 2015. "How air transport connects the world – A new metric of air connectivity and its evolution between 1990 and 2012," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 184-201.
    11. Pere Suau-Sanchez & Guillaume Burghouwt & Xavier Fageda, 2016. "Reinterpreting EU Air Transport Deregulation: A Disaggregated Analysis of the Spatial Distribution of Traffic in Europe, 1990–2009," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(1), pages 48-65, February.
    12. Sun, Xiaoqian & Wandelt, Sebastian, 2014. "Network similarity analysis of air navigation route systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 416-434.

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