IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0323482.html
   My bibliography  Save this article

Analysis of the temporal and spatial evolution of China’s air passenger transportation and the impact of policies on passenger flows

Author

Listed:
  • Chen Luo
  • Tianshun Ma
  • Min Wang
  • Xinrong Hu
  • Chunyang Liu
  • Xutong Wang

Abstract

The spatial-temporal evolution of air passenger flows in China’s aviation sector is critical for optimizing route networks and capacity allocation, particularly in assessing the efficacy of policy interventions to inform future regulatory frameworks. This study leverages air passenger throughput data spanning prefecture-level cities (2005–2023) and employs the Standard Deviation Ellipse (SDE) method to identify spatial agglomeration patterns in 2008, 2017, 2020, and 2022. A Difference-in-Differences (DID) model is further applied to quantify the causal effects of policy interventions on air transportation dynamics, supplemented by robustness tests and heterogeneity analyses to validate the reliability of the findings. Three key conclusions emerge from the analysis. First, while the spatial distribution of air passenger traffic predominantly aligns with a northeast-southwest axis, the strengthened north-south directional influence (reflected in the increased major-to-minor axis ratio of the SDE) indicates a bidirectional expansion of air transport coverage. Second, the spatial centroid of passenger flows exhibited a directional shift from northwestern to southwestern China between 2005 and 2023, highlighting the rising strategic importance of the southwestern region. Notably, by 2023, a reversed spatial transition emerged, with the centroid gradually reverting toward the northeast, signaling a recalibration of passenger flow patterns. Third, policy impacts display marked regional and urban heterogeneity: eastern China experienced significantly higher passenger growth compared to central, western, and northeastern regions, while provincial capitals and megacities—owing to their resource concentration and policy implementation capacity—demonstrated stronger responsiveness to regulatory measures than smaller prefecture-level cities. These findings provide actionable insights for both industry and policymakers. Airlines may utilize the empirical evidence to refine route planning and capacity adjustments, whereas policymakers could prioritize spatially differentiated regulations to mitigate regional imbalances and foster integrated national aviation development.

Suggested Citation

  • Chen Luo & Tianshun Ma & Min Wang & Xinrong Hu & Chunyang Liu & Xutong Wang, 2025. "Analysis of the temporal and spatial evolution of China’s air passenger transportation and the impact of policies on passenger flows," PLOS ONE, Public Library of Science, vol. 20(5), pages 1-20, May.
  • Handle: RePEc:plo:pone00:0323482
    DOI: 10.1371/journal.pone.0323482
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0323482
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0323482&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0323482?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
    ---><---

    References listed on IDEAS

    as
    1. Wang, Jiaoe & Bonilla, David & Banister, David, 2016. "Air deregulation in China and its impact on airline competition 1994–2012," Journal of Transport Geography, Elsevier, vol. 50(C), pages 12-23.
    2. Chen, Zhongfei & Barros, Carlos & Yu, Yanni, 2017. "Spatial distribution characteristic of Chinese airports: A spatial cost function approach," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 63-70.
    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. Li, Siping & Zhou, Yaoming & Kundu, Tanmoy & Zhang, Fangni, 2021. "Impact of entry restriction policies on international air transport connectivity during COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    2. Hu, Yue & Dai, Liang & Fuellhart, Kurt & Witlox, Frank, 2024. "Examining competition among airline regarding route portfolios at domestic hubs under government regulation: The case of China's aviation market," Journal of Air Transport Management, Elsevier, vol. 116(C).
    3. Fusco, Elisa & Allegrini, Veronica, 2020. "The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    4. Dobruszkes, Frédéric & Givoni, Moshe & Vowles, Timothy, 2017. "Hello major airports, goodbye regional airports? Recent changes in European and US low-cost airline airport choice," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 50-62.
    5. Jiaoe Wang & Haoran Yang & Han Wang, 2019. "The Evolution of China’s International Aviation Markets from a Policy Perspective on Air Passenger Flows," Sustainability, MDPI, vol. 11(13), pages 1-15, June.
    6. Min Su & Weixin Luan & Zeyang Li & Shulin Wan & Zhenchao Zhang, 2019. "Evolution and Determinants of an Air Transport Network: A Case Study of the Chinese Main Air Transport Network," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    7. 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.
    8. Chen, Zhongfei & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2018. "Convergence in the Chinese airline industry: A Malmquist productivity analysis," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 77-86.
    9. Wang, Wei & Cai, Kaiquan & Du, Wenbo & Wu, Xin & Tong, Lu (Carol) & Zhu, Xi & Cao, Xianbin, 2020. "Analysis of the Chinese railway system as a complex network," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    10. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2020. "Spatial competition and efficiency: an investigation in the airport sector," The Warwick Economics Research Paper Series (TWERPS) 1287, University of Warwick, Department of Economics.
    11. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.
    12. Ho, Chun-Yu & McCarthy, Patrick & Wang, Yanhao, 2021. "Competition and countervailing power: Evidence from the China Eastern and Shanghai Airlines merger," Journal of Air Transport Management, Elsevier, vol. 91(C).
    13. 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).
    14. Antwi, Collins Opoku & Fan, Chong-jun & Ihnatushchenko, Nataliia & Aboagye, Michael Osei & Xu, Hangyu, 2020. "Does the nature of airport terminal service activities matter? Processing and non-processing service quality, passenger affective image and satisfaction," Journal of Air Transport Management, Elsevier, vol. 89(C).
    15. Xingjian Liu, 2020. "Assessing airport ground access by public transport in Chinese cities," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 267-285, February.
    16. Carbo, Jose M. & Graham, Daniel J., 2020. "Quantifying the impacts of air transportation on economic productivity: a quasi-experimental causal analysis," Economics of Transportation, Elsevier, vol. 24(C).
    17. Chow, Clement Kong Wing & Tsui, Wai Hong Kan & Wu, Hanjun, 2021. "Airport subsidies and domestic inbound tourism in China," Annals of Tourism Research, Elsevier, vol. 90(C).
    18. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    19. Wandelt, Sebastian & Sun, Xiaoqian & Zhang, Anming, 2024. "On the extent, trend, and stability of market concentration in the global aviation system since 2010," Journal of Air Transport Management, Elsevier, vol. 119(C).
    20. Asadi, Mehrad & Pham, Son D. & Nguyen, Thao T.T. & Do, Hung Xuan & Brooks, Robert, 2023. "The nexus between oil and airline stock returns: Does time frequency matter?," Energy Economics, Elsevier, vol. 117(C).

    More about this item

    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:plo:pone00:0323482. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.