IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v112y2018icp97-102.html
   My bibliography  Save this article

Analysis of flight conflicts in the Chinese air route network

Author

Listed:
  • Zhang, Mingyuan
  • Liang, Boyuan
  • Wang, Sheng
  • Perc, Matjaž
  • Du, Wenbo
  • Cao, Xianbin

Abstract

The increase in economic exchange, brought about by globalization and leaps of progress in science and engineering, has led to a sharp increase in air traffic density. As a consequence, airspace has become increasingly crowded, and limitations in airspace capacity have become a major concern for the future development of air travel and transportation. In this paper, we adopt methods of network science to analyze flight conflicts in the Chinese air route network. We show that air conflicts are distributed heterogeneously along the waypoints of the Chinese air route network. In particular, the frequency of flight conflicts follows an exponential distribution. The time-space investigation of flight conflicts shows that they are concentrated at specific regions of the Chinese air route network and at specific time periods of the day. Our work offers fascinating insights into one of the world's largest and most busiest air route networks, and it helps us mitigate flight conflicts and improve air traffic safety.

Suggested Citation

  • Zhang, Mingyuan & Liang, Boyuan & Wang, Sheng & Perc, Matjaž & Du, Wenbo & Cao, Xianbin, 2018. "Analysis of flight conflicts in the Chinese air route network," Chaos, Solitons & Fractals, Elsevier, vol. 112(C), pages 97-102.
    • Handle: RePEc:eee:chsofr:v:112:y:2018:i:c:p:97-102
    DOI: 10.1016/j.chaos.2018.04.041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077918302364
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2018.04.041?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. Wang, Jiaoe & Mo, Huihui & Wang, Fahui, 2014. "Evolution of air transport network of China 1930–2012," Journal of Transport Geography, Elsevier, vol. 40(C), pages 145-158.
    2. Gérald Gurtner & Stefania Vitali & Marco Cipolla & Fabrizio Lillo & Rosario Nunzio Mantegna & Salvatore Miccichè & Simone Pozzi, 2014. "Multi-Scale Analysis of the European Airspace Using Network Community Detection," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-17, May.
    3. Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere & Voltes-Dorta, Augusto, 2013. "Classifying airports according to their hub dimensions: an application to the US domestic network," Journal of Transport Geography, Elsevier, vol. 33(C), pages 188-195.
    4. Lordan, Oriol & Sallan, Jose M. & Escorihuela, Nuria & Gonzalez-Prieto, David, 2016. "Robustness of airline route networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 18-26.
    5. Du, Wen-Bo & Zhou, Xing-Lian & Lordan, Oriol & Wang, Zhen & Zhao, Chen & Zhu, Yan-Bo, 2016. "Analysis of the Chinese Airline Network as multi-layer networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 108-116.
    6. Xia, Yongxiang & Zhang, Wenping & Zhang, Xuejun, 2016. "The effect of capacity redundancy disparity on the robustness of interconnected networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 561-568.
    7. Hong, Chen & Zhang, Jun & Cao, Xian-Bin & Du, Wen-Bo, 2016. "Structural properties of the Chinese air transportation multilayer network," Chaos, Solitons & Fractals, Elsevier, vol. 86(C), pages 28-34.
    8. Huang, Jie & Wang, Jiaoe, 2017. "A comparison of indirect connectivity in Chinese airport hubs: 2010 vs. 2015," Journal of Air Transport Management, Elsevier, vol. 65(C), pages 29-39.
    9. Du, Wen-Bo & Liang, Bo-Yuan & Hong, Chen & Lordan, Oriol, 2017. "Analysis of the Chinese provincial air transportation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 579-586.
    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. Bai, Bingfeng, 2022. "Strategic business management for airport alliance: A complex network approach to simulation robustness analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. Tian, Meng & Dong, Zhengcheng & Cui, Mingjian & Wang, Jianhui & Wang, Xianpei & Zhao, Le, 2019. "Energy-supported cascading failure model on interdependent networks considering control nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 195-204.
    3. Xu, Xiaohan & Huang, Ailing & Shalaby, Amer & Feng, Qian & Chen, Mingyang & Qi, Geqi, 2024. "Exploring cascading failure processes of interdependent multi-modal public transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    4. Shiguang Wang & Dexin Yu & Mei-Po Kwan & Huxing Zhou & Yongxing Li & Hongzhi Miao, 2019. "The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017," Sustainability, MDPI, vol. 11(19), pages 1-25, September.

    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 & Sheu, Jiuh-Biing, 2021. "Spatiotemporal variation of the worldwide air transportation network induced by COVID-19 pandemic in 2020," Transport Policy, Elsevier, vol. 111(C), pages 168-184.
    2. 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).
    3. Ying Jin & Ye Wei & Chunliang Xiu & Wei Song & Kaixian Yang, 2019. "Study on Structural Characteristics of China’s Passenger Airline Network Based on Network Motifs Analysis," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    4. Wong, Allen & Tan, Sijian & Chandramouleeswaran, Keshav Ram & Tran, Huy T., 2020. "Data-driven analysis of resilience in airline networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    5. Mingming Guan & Siyu Wu & Chengliang Liu, 2022. "Comparing China’s urban aviation and innovation networks," Growth and Change, Wiley Blackwell, vol. 53(1), pages 470-486, March.
    6. Lordan, Oriol & Sallan, Jose M., 2019. "Core and critical cities of global region airport networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 724-733.
    7. 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).
    8. Min Su & Baoyang Hu & Yipeng Jiang & Zhenchao Zhang & Zeyang Li, 2022. "Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission," Mathematics, MDPI, vol. 10(13), pages 1-17, July.
    9. 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.
    10. 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.
    11. Wang, Xinglong & Peng, Jinhan & Tang, Junqing & Lu, Qiuchen & Li, Xiaowei, 2022. "Investigating the impact of adding new airline routes on air transportation resilience in China," Transport Policy, Elsevier, vol. 125(C), pages 79-95.
    12. Jiaoe Wang & Fan Xiao & Frédéric Dobruszkes & Wei Wang, 2023. "Seasonality of flights in China: Spatial heterogeneity and its determinants," ULB Institutional Repository 2013/355192, ULB -- Universite Libre de Bruxelles.
    13. Chen, Yu & Wang, Jiaoe & Jin, Fengjun, 2020. "Robustness of China’s air transport network from 1975 to 2017," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    14. Wu, Tingwei & Xia, Yongxiang & Liang, Yuanyuan, 2024. "Load cascades in spatial networks: A sandpile model approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 644(C).
    15. Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    16. Wang, Junwei & Zhou, Yaoming & Huang, George Q., 2019. "Alternative pair in the airport network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 408-418.
    17. Du, Wen-Bo & Zhang, Ming-Yuan & Zhang, Yu & Cao, Xian-Bin & Zhang, Jun, 2018. "Delay causality network in air transport systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 466-476.
    18. Zhou, Yaoming & Wang, Junwei & Huang, George Q., 2019. "Efficiency and robustness of weighted air transport networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 14-26.
    19. Wang, Jiaoe & Xiao, Fan & Dobruszkes, Frédéric & Wang, Wei, 2023. "Seasonality of flights in China: Spatial heterogeneity and its determinants," Journal of Air Transport Management, Elsevier, vol. 108(C).
    20. Bingxue Qian & Ning Zhang, 2022. "Topology and Robustness of Weighted Air Transport Networks in Multi-Airport Region," Sustainability, MDPI, vol. 14(11), pages 1-15, June.

    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:chsofr:v:112:y:2018:i:c:p:97-102. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.