IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v55y2016icp52-60.html
   My bibliography  Save this article

Relevance of airport accessibility and airport competition

Author

Listed:
  • Bao, Danwen
  • Hua, Songyi
  • Gu, Jiayu

Abstract

Airport accessibility is an important criterion for airport competition. The relevance of airport accessibility and airport competition was studied in this paper based on the panel data collected from nine large airports in Jiangsu province, China from 2005 to 2014. The results showed that the cost of expense, time and fatigue for the arrival at the airport are proposed to quantify levels of fastness, economy and amenity for the passengers to arrive at airport. The airport accessibility is significantly affected by airport passenger traffic and airline frequency. The passenger traffic can be increased by 2% with 1% increase of airport accessibility based on the analysis results of the nine large airports in Jiangsu province.

Suggested Citation

  • Bao, Danwen & Hua, Songyi & Gu, Jiayu, 2016. "Relevance of airport accessibility and airport competition," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 52-60.
    • Handle: RePEc:eee:jaitra:v:55:y:2016:i:c:p:52-60
    DOI: 10.1016/j.jairtraman.2016.04.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699716300175
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jairtraman.2016.04.009?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. 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.
    2. Zhang, Yunlong & Xie, Yuanchang, 2005. "Small community airport choice behavior analysis: A case study of GTR," Journal of Air Transport Management, Elsevier, vol. 11(6), pages 442-447.
    3. 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.
    4. 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.
    5. Matisziw, T.C. & Grubesic, T.H., 2010. "Evaluating locational accessibility to the US air transportation system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 710-722, November.
    6. Bielli, Maurizio & Boulmakoul, Azedine & Mouncif, Hicham, 2006. "Object modeling and path computation for multimodal travel systems," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1705-1730, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Xiaoqian Sun & Sebastian Wandelt & Mark Hansen, 2020. "Airport Road Access at Planet Scale using Population Grid and Openstreetmap," Networks and Spatial Economics, Springer, vol. 20(1), pages 273-299, March.
    3. Zhang, Ailian & Pan, Mengmeng & Liu, Bai & Cao, Xianbin, 2023. "Do high-speed rail (HSR) station and airport affect local government debt risk? Evidence from China," Transport Policy, Elsevier, vol. 134(C), pages 41-51.
    4. Iyer, K. Chandrashekhar & Thomas, Nivea, 2021. "An econometric analysis of domestic air traffic demand in regional airports: Evidence from India," Journal of Air Transport Management, Elsevier, vol. 93(C).
    5. Avogadro, Nicolò & Birolini, Sebastian & Redondi, Renato & Deforza, Paolo, 2024. "Assessing airport ground access interventions: An integrated approach combining mode choice modeling and microscopic traffic simulation," Transport Policy, Elsevier, vol. 148(C), pages 154-167.
    6. Thomas, Nivea & Jha, Kumar Neeraj, 2022. "Structural efficiency assessment of regional airports: Lessons from India," Utilities Policy, Elsevier, vol. 79(C).
    7. Cheng-Hua Yang & Huei-Ju Chen & Li-Chu Lin & Alastair M. Morrison, 2020. "The Analysis of Critical Success Factors for In-Town Check-In in Taiwan," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    8. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    9. Jing Lu & Cheng Lv & Zhongzhen Yang & Mark Hansen, 2019. "Market Segmentation of New Gateway Airports Incorporating Passengers’ Curiosity," Sustainability, MDPI, vol. 11(24), pages 1-24, December.
    10. Rubio-Andrada, Luis & Celemín-Pedroche, María Soledad & Escat-Cortés, María-Dolores & Jiménez-Crisóstomo, Abel, 2023. "Passengers satisfaction with the technologies used in smart airports: An empirical study from a gender perspective," Journal of Air Transport Management, Elsevier, vol. 107(C).
    11. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Comparative accessibility of Chinese airports and high-speed railway stations: A high-resolution, yet scalable framework based on open data," Journal of Air Transport Management, Elsevier, vol. 92(C).

    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. Fu, Qian & Kim, Amy M., 2016. "Supply-and-demand models for exploring relationships between smaller airports and neighboring hub airports in the U.S," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 67-79.
    2. Teixeira, Filipe Marques & Derudder, Ben, 2021. "Spatio-temporal dynamics in airport catchment areas: The case of the New York Multi Airport Region," Journal of Transport Geography, Elsevier, vol. 90(C).
    3. Lieshout, Rogier, 2012. "Measuring the size of an airport’s catchment area," Journal of Transport Geography, Elsevier, vol. 25(C), pages 27-34.
    4. Paliska, Dejan & Drobne, Samo & Borruso, Giuseppe & Gardina, Massimo & Fabjan, Daša, 2016. "Passengers' airport choice and airports' catchment area analysis in cross-border Upper Adriatic multi-airport region," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 143-154.
    5. de Luca, Stefano, 2012. "Modelling airport choice behaviour for direct flights, connecting flights and different travel plans," Journal of Transport Geography, Elsevier, vol. 22(C), pages 148-163.
    6. Escobari, Diego, 2017. "Airport, airline and departure time choice and substitution patterns: An empirical analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 198-210.
    7. Zeigler, Patrick & Pagliari, Romano & Suau-Sanchez, Pere & Malighetti, Paolo & Redondi, Renato, 2017. "Low-cost carrier entry at small European airports: Low-cost carrier effects on network connectivity and self-transfer potential," Journal of Transport Geography, Elsevier, vol. 60(C), pages 68-79.
    8. 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.
    9. Stephane Hess, 2005. "Analysing air-travel choice behaviour in the Greater London area," ERSA conference papers ersa05p736, European Regional Science Association.
    10. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2015. "The impact of low-cost carriers on airport choice in the US: A case study of the Washington–Baltimore region," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 141-157.
    11. Guido Perboli & Marco Ghirardi & Luca Gobbato & Francesca Perfetti, 2015. "Flights and Their Economic Impact on the Airport Catchment Area: An Application to the Italian Tourist Market," Journal of Optimization Theory and Applications, Springer, vol. 164(3), pages 1109-1133, March.
    12. Morton, Craig & Mattioli, Giulio, 2023. "Competition in Multi-Airport Regions: Measuring airport catchments through spatial interaction models," Journal of Air Transport Management, Elsevier, vol. 112(C).
    13. Leon, Steve, 2011. "Airport Choice Modeling: Empirical Evidence from a Non‐Hub Airport," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 50(2).
    14. Usami, Munekatsu & Manabe, Masashi & Kimura, Shin, 2017. "Airport choice and flight connectivity among domestic and international passengers – Empirical analysis using passenger movement survey data in Japan," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 15-20.
    15. 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.
    16. Yang, Chih-Wen & Lu, Jin-Long & Hsu, Chun-Yen, 2014. "Modeling joint airport and route choice behavior for international and metropolitan airports," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 89-95.
    17. Fuellhart, Kurt & O’Connor, Kevin & Woltemade, Christopher, 2013. "Route-level passenger variation within three multi-airport regions in the USA," Journal of Transport Geography, Elsevier, vol. 31(C), pages 171-180.
    18. 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.
    19. Wang, Zi-Jia & Jia, Hui-Hui & Dai, Fangzhou & Diao, Mi, 2022. "Understanding the ground access and airport choice behavior of air passengers using transit payment transaction data," Transport Policy, Elsevier, vol. 127(C), pages 179-190.
    20. 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.

    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:55:y:2016:i:c:p:52-60. 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.