IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v40y2014icp132-136.html
   My bibliography  Save this article

Mutual influence across routes using a common airport: The case of the domestic market in Japan

Author

Listed:
  • Doi, Naoshi

Abstract

This paper empirically investigates the mutual influence of traffic volumes across routes serving the same airport. Regression analysis using the data on Japan's domestic air transport market reveals that an increase in passengers on a given route has a positive effect on the number of passengers on other routes that share an endpoint airport with the given route. This result implies that a change in policy for an airport is likely to influence routes that do not serve that airport as well as the routes that do.

Suggested Citation

  • Doi, Naoshi, 2014. "Mutual influence across routes using a common airport: The case of the domestic market in Japan," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 132-136.
  • Handle: RePEc:eee:jaitra:v:40:y:2014:i:c:p:132-136
    DOI: 10.1016/j.jairtraman.2014.06.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699714000921
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jairtraman.2014.06.018?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. Barbot, Cristina, 2006. "Low-cost airlines, secondary airports, and state aid: An economic assessment of the Ryanair–Charleroi Airport agreement," Journal of Air Transport Management, Elsevier, vol. 12(4), pages 197-203.
    2. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December.
    3. Jan K. Brueckner, 2004. "Network Structure and Airline Scheduling," Journal of Industrial Economics, Wiley Blackwell, vol. 52(2), pages 291-312, June.
    4. Encaoua, David & Moreaux, Michel & Perrot, Anne, 1996. "Compatibility and competition in airlines demand side network effects," International Journal of Industrial Organization, Elsevier, vol. 14(6), pages 701-726, October.
    5. Zhang, Anming & Zhang, Yimin, 2003. "Airport charges and capacity expansion: effects of concessions and privatization," Journal of Urban Economics, Elsevier, vol. 53(1), pages 54-75, January.
    6. Christopher Mayer & Todd Sinai, 2003. "Network Effects, Congestion Externalities, and Air Traffic Delays: Or Why Not All Delays Are Evil," American Economic Review, American Economic Association, vol. 93(4), pages 1194-1215, September.
    7. Brueckner, Jan K & Spiller, Pablo T, 1994. "Economies of Traffic Density in the Deregulated Airline Industry," Journal of Law and Economics, University of Chicago Press, vol. 37(2), pages 379-415, October.
    8. Kawasaki, Akio, 2008. "Network effects, heterogeneous time value and network formation in the airline market," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 388-403, July.
    9. Basso, Leonardo J., 2008. "Airport deregulation: Effects on pricing and capacity," International Journal of Industrial Organization, Elsevier, vol. 26(4), pages 1015-1031, July.
    10. Douglas W. Caves & Laurits R. Christensen & Michael W. Tretheway, 1984. "Economies of Density versus Economies of Scale: Why Trunk and Local Service Airline Costs Differ," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 471-489, Winter.
    Full references (including those not matched with items on IDEAS)

    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. Wang, Chunan & Wang, Xiaoyu, 2019. "Airport congestion delays and airline networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 328-349.
    2. Zhang, Anming & Czerny, Achim I., 2012. "Airports and airlines economics and policy: An interpretive review of recent research," Economics of Transportation, Elsevier, vol. 1(1), pages 15-34.
    3. Lin, Ming Hsin & Zhang, Anming, 2016. "Hub congestion pricing: Discriminatory passenger charges," Economics of Transportation, Elsevier, vol. 5(C), pages 37-48.
    4. Wang, Chunan & Wang, Xiaoyu, 2019. "Why do airlines prefer multi-hub networks?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 56-74.
    5. Lin, Ming Hsin & Zhang, Yimin, 2017. "Hub-airport congestion pricing and capacity investment," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 89-106.
    6. Anming Zhang & Yimin Zhang & Joseph A. Clougherty, 2011. "Competition and Regulation in Air Transport," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 35, Edward Elgar Publishing.
    7. Álvarez-Sanjaime, Óscar & Cantos-Sánchez, Pedro & Moner-Colonques, Rafael & Sempere-Monerris, Jose J., 2020. "A three-stage competition game in an air transport network under asymmetric valuation of flight frequencies," Economics of Transportation, Elsevier, vol. 21(C).
    8. Roucolle, Chantal & Seregina, Tatiana & Urdanoz, Miguel, 2020. "Measuring the development of airline networks: Comprehensive indicators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 303-324.
    9. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    10. Yanhao Wei, 2018. "Airline networks, traffic densities, and value of links," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 341-370, September.
    11. Fu, Xiaowen & Jin, Huan & Liu, Shaoxuan & Oum, Tae H. & Yan, Jia, 2019. "Exploring network effects of point-to-point networks: An investigation of the spatial patterns of Southwest Airlines’ network," Transport Policy, Elsevier, vol. 76(C), pages 36-45.
    12. Oliveira, Marcus V.R. & Oliveira, Alessandro V.M., 2018. "What drives effective competition in the airline industry? An empirical model of city-pair market concentration," Transport Policy, Elsevier, vol. 63(C), pages 165-175.
    13. Christopher Mayer & Todd Sinai, 2003. "Network Effects, Congestion Externalities, and Air Traffic Delays: Or Why Not All Delays Are Evil," American Economic Review, American Economic Association, vol. 93(4), pages 1194-1215, September.
    14. Jia Yan & Xiaowen Fu & Tae Oum, 2008. "Exploring Network Effects of Point-to-Point Networks: An Investigation of the Spatial Entry Patterns of Southwest Airlines," Working Papers 2008-21, School of Economic Sciences, Washington State University.
    15. Luttmann, Alexander, 2019. "Are passengers compensated for incurring an airport layover? Estimating the value of layover time in the U.S. airline industry," Economics of Transportation, Elsevier, vol. 17(C), pages 1-13.
    16. Silva, Hugo E. & Verhoef, Erik T., 2013. "Optimal pricing of flights and passengers at congested airports and the efficiency of atomistic charges," Journal of Public Economics, Elsevier, vol. 106(C), pages 1-13.
    17. Flores-Fillol, Ricardo, 2010. "Congested hubs," Transportation Research Part B: Methodological, Elsevier, vol. 44(3), pages 358-370, March.
    18. Zhang, Anming & Fu, Xiaowen & Yang, Hangjun (Gavin), 2010. "Revenue sharing with multiple airlines and airports," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 944-959, September.
    19. Achim I. Czerny, 2009. "Airport Pricing and Concession Revenues," WHU Working Paper Series - Economics Group 09-05, WHU - Otto Beisheim School of Management.
    20. Kenneth Button, 2020. "Studying the empirical implications of the liberalization of airport markets," Competition and Regulation in Network Industries, , vol. 21(3), pages 223-243, September.

    More about this item

    Keywords

    Air transportation; Airport policy; Airline network;
    All these keywords.

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • H76 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Other Expenditure Categories

    Statistics

    Access and download statistics

    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:jaitra:v:40:y:2014:i:c:p:132-136. 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.journals.elsevier.com/journal-of-air-transport-management/ .

    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.