IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v108y2023ics0969699723000170.html
   My bibliography  Save this article

Exploring topics and trends in Chinese ATC incident reports using a domain-knowledge driven topic model

Author

Listed:
  • Bao, Jie
  • Chen, Yixuan
  • Yin, Jianan
  • Chen, Xinyuan
  • Zhu, Dan

Abstract

The primary objective of this study is to discover hidden topics and trends from historical ATC incident reports. A novel domain-knowledge driven topic (DDT) model is proposed to explore the embedded patterns and hidden connections in ATC incident reports. Seventeen-year ATC incident records are collected from Local Air Traffic Management Branch of Civil Aviation Administration of China to illustrate the procedure. First, a total of twenty topics are identified from the collected reports, including aircraft-flight-operation related topics, crew-activities related topics, airspace-control-transfer related topics and others. Then, the topic evolution trend over years is explored, which identifies four hot topics and four cold topics over the study period. The results reveal that in general the contributing factors of ATC incidents are gradually shifting from external factors (e.g., radar equipment or aircraft components) to human related factors (e.g., instruction communication or handover of airspace control) due to the improved quality of communication equipment and some adjustments of ATC rules over the past two decades. Finally, the topic evolution analyses across different ATC areas and flight phases are further conducted. The findings indicate that the potential causes of ATC incidents are different across various ATC areas and flight phases due to the variation in geographical environment and local policies. The results of this research can help local ATC authorities conduct efficient safety performance assessment, implement proactive countermeasures for specific areas to enhance air traffic safety, and provide aviation authorities with insightful suggestions for ATC process optimization and design.

Suggested Citation

  • Bao, Jie & Chen, Yixuan & Yin, Jianan & Chen, Xinyuan & Zhu, Dan, 2023. "Exploring topics and trends in Chinese ATC incident reports using a domain-knowledge driven topic model," Journal of Air Transport Management, Elsevier, vol. 108(C).
    • Handle: RePEc:eee:jaitra:v:108:y:2023:i:c:s0969699723000170
    DOI: 10.1016/j.jairtraman.2023.102374
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699723000170
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jairtraman.2023.102374?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. Hakyeon Lee & Pilsung Kang, 2018. "Identifying core topics in technology and innovation management studies: a topic model approach," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1291-1317, October.
    2. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
    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. Mengwei Chen & Dianhai Wang & Yilin Sun & E. Owen D. Waygood & Wentao Yang, 2020. "A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China," Transportation, Springer, vol. 47(2), pages 689-704, April.
    2. Lu Cheng & Zhifu Mi & D’Maris Coffman & Jing Meng & Dining Liu & Dongfeng Chang, 2022. "The Role of Bike Sharing in Promoting Transport Resilience," Networks and Spatial Economics, Springer, vol. 22(3), pages 567-585, September.
    3. Pengfei Lin & Jiancheng Weng & Quan Liang & Dimitrios Alivanistos & Siyong Ma, 2020. "Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing," Networks and Spatial Economics, Springer, vol. 20(1), pages 1-17, March.
    4. Bilal Barış Alkan & Leyla Karakuş & Bekir Direkci, 2023. "Knowledge discovery from the texts of Nobel Prize winners in literature: sentiment analysis and Latent Dirichlet Allocation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5311-5334, September.
    5. Bi, Hui & Ye, Zhirui & Hu, Liyang & Zhu, He, 2021. "Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops," Transport Policy, Elsevier, vol. 114(C), pages 280-297.
    6. Kyoungok Kim, 2024. "Discovering spatiotemporal usage patterns of a bike-sharing system by type of pass: a case study from Seoul," Transportation, Springer, vol. 51(4), pages 1373-1407, August.
    7. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
    8. Martina K Linnenluecke & Mauricio Marrone & Abhay K Singh, 2020. "Conducting systematic literature reviews and bibliometric analyses," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 175-194, May.
    9. Chengcheng Xu & Shuyue Wu, 2019. "Evaluating the Effects of Household Characteristics on Household Daily Traffic Emissions Based on Household Travel Survey Data," Sustainability, MDPI, vol. 11(6), pages 1-12, March.
    10. Shah, Nitesh R. & Guo, Jing & Han, Lee D. & Cherry, Christopher R., 2023. "Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    11. László Hajdu & András Bóta & Miklós Krész & Alireza Khani & Lauren M. Gardner, 2020. "Discovering the Hidden Community Structure of Public Transportation Networks," Networks and Spatial Economics, Springer, vol. 20(1), pages 209-231, March.
    12. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2022. "Exploring the knowledge base of innovation research: Towards an emerging innovation model," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    13. Pan, Yingjiu & Chen, Shuyan & Niu, Shifeng & Ma, Yongfeng & Tang, Kun, 2020. "Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity," Journal of Transport Geography, Elsevier, vol. 83(C).
    14. Yixiao Li & Zhaoxin Dai & Lining Zhu & Xiaoli Liu, 2019. "Analysis of Spatial and Temporal Characteristics of Citizens’ Mobility Based on E-Bike GPS Trajectory Data in Tengzhou City, China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    15. Li, Mengya & Kwan, Mei-Po & Wang, Fahui & Wang, Jun, 2018. "Using points-of-interest data to estimate commuting patterns in central Shanghai, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 201-210.
    16. XQiumeng Li & Weipan Xu, 2022. "The impact of COVID-19 on bike-sharing travel pattern and flow structure: evidence from Wuhan [Exploring bike-sharing travel patterns and trip purposes using smart card data and online point of int," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 15(3), pages 477-494.
    17. Hua, Mingzhuang & Chen, Xuewu & Chen, Jingxu & Huang, Di & Cheng, Long, 2022. "Large-scale dockless bike sharing repositioning considering future usage and workload balance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    18. Xiumei Tang & Yu Liu & Yuchun Pan, 2020. "An Evaluation and Region Division Method for Ecosystem Service Supply and Demand Based on Land Use and POI Data," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    19. Isabela Neto Piccirillo & Daniel Capaldo Amaral & Maicon Gouvêa De Oliveira, 2022. "A Research Agenda for Collaborative Roadmapping Supported by Blockchain Technology," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    20. Hakyeon Lee & Hanbin Seo & Youngjung Geum, 2018. "Uncovering the Topic Landscape of Product-Service System Research: from Sustainability to Value Creation," Sustainability, MDPI, vol. 10(4), pages 1-15, March.

    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:108:y:2023:i:c:s0969699723000170. 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.