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Spatial panel model for examining airport relationships within multi-airport regions

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  • Cheung, Tommy King-Yin
  • Wong, Wai-hung
  • Zhang, Anming
  • Wu, Yangming

Abstract

For better airport planning and air traffic management, local airport authority in a multi-airport region (MAR) often needs to consider the impacts of competition and collaboration with nearby airports on its own airport traffic. This paper proposed a dynamic spatial panel regression model to test the regional effects on airports in a MAR. The proposed model is applied to four closely situated airports in the Pearl River Delta region (PRD), China, to analyze their interactions, identify the determining factors, and evaluate the impact of these factors on airport capacity. PRD is one of the most prosperous areas in Asia, and competition among the four airports has intensified, due, in part, to the rapid growth of Guangzhou airport and Shenzhen airport. Together with the fact that Hong Kong airport reached 98% of its runway capacity in 2016, it is of great interest to understand the interactions among the airports in this region. The findings show that airport degree, flight frequency, airport capacity utilization, income, population, GDP, and fuel price are significant factors affecting airport’s capacity. Furthermore, there is a spatially lagged effect in income and population, and a time-lagged effect in airport capacity, GDP, and fuel price.

Suggested Citation

  • Cheung, Tommy King-Yin & Wong, Wai-hung & Zhang, Anming & Wu, Yangming, 2020. "Spatial panel model for examining airport relationships within multi-airport regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 148-163.
    • Handle: RePEc:eee:transa:v:133:y:2020:i:c:p:148-163
    DOI: 10.1016/j.tra.2019.12.011
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    as
    1. Pels, Eric & Verhoef, Erik T., 2004. "The economics of airport congestion pricing," Journal of Urban Economics, Elsevier, vol. 55(2), pages 257-277, March.
    2. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    3. Loo, Becky P.Y., 2008. "Passengers’ airport choice within multi-airport regions (MARs): some insights from a stated preference survey at Hong Kong International Airport," Journal of Transport Geography, Elsevier, vol. 16(2), pages 117-125.
    4. Hwang, Cherng-Chwan & Shiao, Guo-Chou, 2011. "Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport," Journal of Transport Geography, Elsevier, vol. 19(4), pages 738-744.
    5. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    6. Jan Mutl & Michael Pfaffermayr, 2011. "The Hausman test in a Cliff and Ord panel model," Econometrics Journal, Royal Economic Society, vol. 14, pages 48-76, February.
    7. Lo, Winnie Wai Ling & Wan, Yulai & Zhang, Anming, 2015. "Empirical estimation of price and income elasticities of air cargo demand: The case of Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 309-324.
    8. 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.
    9. Reggiani, Aura & Nijkamp, Peter & Lanzi, Diego, 2015. "Transport resilience and vulnerability: The role of connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 4-15.
    10. Zhang, Anming, 2003. "Analysis of an international air-cargo hub: the case of Hong Kong," Journal of Air Transport Management, Elsevier, vol. 9(2), pages 123-138.
    11. Daniel, Joseph I, 1995. "Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues," Econometrica, Econometric Society, vol. 63(2), pages 327-370, March.
    12. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Access to and competition between airports: a case study for the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 71-83, January.
    13. Hsiao, Chieh-Yu & Hansen, Mark, 2011. "A passenger demand model for air transportation in a hub-and-spoke network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1112-1125.
    14. Jan K. Brueckner, 2003. "Airline Traffic and Urban Economic Development," Urban Studies, Urban Studies Journal Limited, vol. 40(8), pages 1455-1469, July.
    15. Ha, Hun-Koo & Wan, Yulai & Yoshida, Yuichiro & Zhang, Anming, 2013. "Airline market structure and airport efficiency: Evidence from major Northeast Asian airports," Journal of Air Transport Management, Elsevier, vol. 33(C), pages 32-42.
    16. Eric Pels & Peter Nijkamp & Piet Rietveld, 2001. "Airport and Airline Choice in a Multiple Airport Region: An Empirical Analysis for the San Francisco Bay Area," Regional Studies, Taylor & Francis Journals, vol. 35(1), pages 1-9.
    17. Basso, Leonardo J. & Zhang, Anming, 2008. "On the relationship between airport pricing models," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 725-735, November.
    18. Papatheodorou, Andreas & Arvanitis, Pavlos, 2009. "Spatial evolution of airport traffic and air transport liberalisation: the case of Greece," Journal of Transport Geography, Elsevier, vol. 17(5), pages 402-412.
    19. Basar, Gözen & Bhat, Chandra, 2004. "A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 889-904, December.
    20. Tsekeris, Theodore, 2009. "Dynamic analysis of air travel demand in competitive island markets," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 267-273.
    21. Xia, Wenyi & Jiang, Changmin & Wang, Kun & Zhang, Anming, 2019. "Air-rail revenue sharing in a multi-airport system: Effects on traffic and social welfare," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 304-319.
    22. Kopsch, Fredrik, 2012. "A demand model for domestic air travel in Sweden," Journal of Air Transport Management, Elsevier, vol. 20(C), pages 46-48.
    23. Ishii, Jun & Jun, Sunyoung & Van Dender, Kurt, 2009. "Air travel choices in multi-airport markets," Journal of Urban Economics, Elsevier, vol. 65(2), pages 216-227, March.
    24. Grosche, Tobias & Rothlauf, Franz & Heinzl, Armin, 2007. "Gravity models for airline passenger volume estimation," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 175-183.
    25. Basso, Leonardo J. & Zhang, Anming, 2007. "Congestible facility rivalry in vertical structures," Journal of Urban Economics, Elsevier, vol. 61(2), pages 218-237, March.
    26. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December.
    27. 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.
    28. Hess, Stephane & Polak, John W., 2005. "Mixed logit modelling of airport choice in multi-airport regions," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 59-68.
    29. Baltagi, Badi H. & Heun Song, Seuck & Cheol Jung, Byoung & Koh, Won, 2007. "Testing for serial correlation, spatial autocorrelation and random effects using panel data," Journal of Econometrics, Elsevier, vol. 140(1), pages 5-51, September.
    30. Gudmundsson, Sveinn & Paleari, Stefano & Redondi, Renato, 2014. "Spillover effects of the development constraints in London Heathrow Airport," Journal of Transport Geography, Elsevier, vol. 35(C), pages 64-74.
    31. Furuichi, Masahiko & Koppelman, Frank S., 1994. "An analysis of air travelers' departure airport and destination choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(3), pages 187-195, May.
    32. 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.
    33. 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.
    34. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2000. "Airport and Airline Competition for Passengers Departing from a Large Metropolitan Area," Journal of Urban Economics, Elsevier, vol. 48(1), pages 29-45, July.
    35. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.
    36. Zhang, Anming & Zhang, Yimin, 2006. "Airport capacity and congestion when carriers have market power," Journal of Urban Economics, Elsevier, vol. 60(2), pages 229-247, September.
    37. O'Connor, Kevin & Fuellhart, Kurt, 2016. "Airports and regional air transport markets: A new perspective," Journal of Transport Geography, Elsevier, vol. 53(C), pages 78-82.
    38. Lambert, Dayton M. & Lowenberg-DeBoer, James & Bongiovanni, Rodolfo, 2003. "Spatial Regression Models For Yield Monitor Data: A Case Study From Argentina," 2003 Annual meeting, July 27-30, Montreal, Canada 22022, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    39. Chi, Junwook & Baek, Jungho, 2012. "A dynamic demand analysis of the United States air-passenger service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 755-761.
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