Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Research trend of Chinese airport terminal using the Network Analysis

네트워크 분석방법을 활용한 중국 공항터미널 연구 동향분석에 관한 연구

  • Liu, Siwei (Graduate school of Logistics, Incheon National University) ;
  • Chen, Jiarong (Graduate school of Logistics, Incheon National University) ;
  • Park, Sung-Hoon (Graduate school of Logistics, Incheon National University) ;
  • Yeo, Gi-Tae (Graduate school of Logistics, Incheon National University)
  • ;
  • ;
  • 박성훈 (인천대학교 동북아 물류대학원) ;
  • 여기태 (인천대학교 동북아 물류대학원)
  • Received : 2020.08.21
  • Accepted : 2020.11.20
  • Published : 2020.11.28
Download PDF
⟨ Previous Next ⟩

Abstract

With the acceleration of economic globalization, the development of aviation logistics plays an increasingly significant role in the logistics industry. As the foundation of aviation logistics development, airport terminals are attracting increasing attention. In this respect, the aim of this research is to analyze 65 academic papers on Chinese airport terminals from 2003 to 2020 by utilizing analytic keywords of academic papers and suggest the research trend of Chinese airport terminals. The SNA was adopted as research methodology. Airport Terminal, Boned, and Chinese Mainland were the keywords for the first period (2003-2008), while the second period (2009-2014) included the keywords such as China, DEA, Airport, and Flight Delay. For the third period (2015-2020), Airport Competitiveness and Aviation Network were also highly connected keywords. This indicates that with the growth of the economy, the research trend of China's airport terminals has been gradually expanding from infrastructure construction to network development. The results have implications on suggesting the research trend of Chinese airport terminals, and providing insights to the policy makers, academics, and practitioners in neighboring countries including Korea.

글로벌 경제의 가속화와 더불어 물류산업에 있어서 항공물류는 점차 중요한 역할을 담당하고 있다. 항공물류산업의 기초로서 공항터미널은 큰 주목의 대상이 되고 있다. 본 연구는 중국 공항터미널의 연구동향을 분석하는 것을 연구의 목적으로 하였으며, 2003년부터 2020년까지 65개 해외 논문의 키워드를 추출하고 SNA방법을 이용하여 분석하였다. 첫 번째 기간 (2003-2008)은 "Airport Terminal", "Boned" 및 "Chinese Mainland"와 같은 키워드가 상위 키워드로 도출되었다. 두 번째 기간 (2009-2014)의 결과는 "China", "DEA", "Airport" 및 "Flight Delay"와 같은 키워드들이 도출되었고, 세 번째 기간(2015-2020)에는 "Airport Competitiveness"와 "Aviation Network"등의 키워드가 상위로 나타났다. 본 연구의 결과는 경제의 성장에 따라 중국 공항터미널의 연구동향은 공항시설 건설에서 네트워크 개발로 점차 확대되는 것을 확인할 수 있다. 본 연구는 중국 공항터미널의 연구동향을 분석하였으며, 향후 한국을 포함한 인근국가의 정책입안자, 학계, 실무자에게 시사점을 제공한다.

Keywords

References

  1. X. Fu, A. Zhang & Z. Lei. (2012). Will China's airlineindustry survive the entry of high-speed rail?. Researchin Transportation Economics, 35(1), 13-25. DOI.org/10.1016/j.retrec.2011.11.006
  2. C. Barnhart, P. Belobaba & A. R. Odoni. (2003). Applications of operations research in the air transport industry. Transportation science, 37(4), 368-391. Doi..org/10.1287/trsc.37.4.368.23276
  3. B. Zhang, J. Wang, C. Liu & Y. Zhao (2012). Evaluating the technical efficiency of Chinese airport airside activities. Journal of Air Transport Management, 20, 23-27. DOI.org/10.1016/j.jairtraman.2011.10.007
  4. Q. Cui, Y. M. Wei, Y. Li, & W. X. Li. (2017). Exploring the differences in the airport competitiveness formation mechanism: evidence from 45 Chinese airports during 2010-2014. Transportmetrica B: Transport Dynamics, 5(3), 325-341. DOI.org/10.1080/21680566.2016.1216811
  5. J. Huang & J. Wang. (2017). A comparison of indirect connectivity in Chinese airport hubs: 2010 vs. 2015. Journal of Air Transport Management, 65, 29-39. DOI.org/10.1016/j.jairtraman.2017.07.002
  6. J. Zhang, X. B. Cao, W. B. Du & K. Q. Cai. (2010). Evolution of Chinese airport network. Physica A: Statistical Mechanics and its Applications, 389(18), 3922-3931. DOI.org/10.1016/j.physa.2010.05.042
  7. M. K. Y. Fung, K. K .H. Wan, Y. V. Hui, J. S. Law. (2008). Productivity changes in Chinese airports 1995-2004. Transportation Research Part E: Logistics and Transportation Review, 44(3), 521-542. DOI.org/10.1016/j.tre.2007.01.003
  8. Z. Chen, C. Barros, Y. Yu. (2017). Spatial distribution characteristic of Chinese airports: A spatial cost function approach. Journal of Air Transport Management, 59, 63-70. DOI.org/10.1016/j.jairtraman.2016.11.011
  9. Y. Zhang, A. Zhang, Z. Zhu & Wang, K. (2017). Connectivity at Chinese airports: The evolution and drivers. Transportation Research Part A: Policy and Practice, 103, 490-508. https://doi.org/10.1016/j.tra.2017.05.026
  10. Z. Wang, & W. K. Song. (2020). Sustainable airport development with performance evaluation forecasts: A case study of 12 Asian airports. Journal of Air Transport Management, 89, 101925. https://doi.org/10.1016/j.jairtraman.2020.101925
  11. W. Lu, S. H. Park, T. Huang & G. T. Yeo. (2019). An analysis for Chinese airport efficiency using weighted variables and adopting CFPR. The Asian Journal of Shipping and Logistics, 35(4), 230-242. DOI.org/10.1016/j.ajsl.2019.12.010
  12. Y. Jiang, F. Liao, Q. Xu & Z. Yang. (2019). Identification of technology spillover among airport alliance from the perspective of efficiency evaluation: The case of China. Transport Policy, 80, 49-58. DOI.org/10.1016/j.tranpol.2019.05.004
  13. L. W. Fan, F. Wu & P. Zhou. (2014). Efficiency measurement of Chinese airports with flight delays by directional distance function. Journal of Air Transport Management, 34, 140-145. DOI.org/10.1016/j.jairtraman.2013.10.002
  14. Y. C. Chang, M. M. Yu & P. C. Chen. (2013). Evaluating the performance of Chinese airports. Journal of Air Transport Management, 31, 19-21. https://doi.org/10.1016/j.jairtraman.2012.11.002
  15. X. Liu, L. Li , X. Liu, T. Zhang, X. Rong , L. Yang, & D. Xiong. (2018). Field investigation on characteristics of passenger flow in a Chinese hub airport terminal. Building and Environment, 133, 51-61. DOI.org/10.1016/j.buildenv.2018.02.009
  16. L. W. Fan, F. Wu & P. Zhou. (2014). Efficiency measurement of Chinese airports with flight delays by directional distance function. Journal of Air Transport Management, 34, 140-145. https://doi.org/10.1016/j.jairtraman.2013.10.002
  17. Y. Zhang, A. Zhang, Z. Zhu & K. Wang. (2017). Connectivity at Chinese airports: The evolution and drivers. Transportation Research Part A: Policy and Practice, 103, 490-508. DOI.org/10.1016/j.tra.2017.05.026
  18. Q. Cui, H. B. Kuang, C. Y. Wu & Y. Li. (2013). Dynamic formation mechanism of airport competitiveness: The case of China. Transportation Research Part A: Policy and Practice, 47, 10-18. DOI.org/10.1016/j.tra.2012.10.021
  19. Y. C. Chang, M .M. Yu & P. C. Chen. (2013). Evaluating the performance of Chinese airports. Journal of AirTransport Management, 31,19-21. DOI.org/10.1016/j.jairtraman.2012.11.002
  20. S. Behrouzi, Z. S. Sarmoor, K. Hajsadeghi & K. Kavousi. (2020). Predicting scientific research trends based on link prediction in keyword networks. Journal of Informetrics, 14(4), 101079. https://doi.org/10.1016/j.joi.2020.101079
  21. K. Schodl, F. Klein & C. Winckler. (2017). Mapping sustainability in pig farming research using keyword network analysis. Livestock Science, 196, 28-35. https://doi.org/10.1016/j.livsci.2016.12.005
  22. Q. Li, H. Zhang & X. Hong. (2020). Knowledge structure of technology licensing based on co-keywords network: A review and future directions. International Review of Economics & Finance, 66, 154-165. https://doi.org/10.1016/j.iref.2019.11.007
  23. G. Heo. (2020). A Study on the Research Trends on the Marine Policy through Network Analysis in recent 11 years. Studies on Education of Fisheries and Marine Sciences, 32(2), 594-606. https://doi.org/10.13000/JFMSE.2020.4.32.2.594
  24. S. H. Baek & J. E. Shin. (2020). Trend analysis based on the keyword network analysis of papers written on physical education as a liberal education. Journal of Converging Sport and Exercise Sciences, 18(1), 45-57.
  25. D. H. Jung & Y. H. Choi. (2020). Research trends on invention education through keyword network analysis. Journal of Research in Curriculum & Instruction, 24, 116-126. https://doi.org/10.24231/rici.2020.24.1.116
  26. Y. J. Kim & K. R. Lim. (2020). Analysis of the Research Trend in Early Childhood Mathematics through Keyword Network Analysis. The Journal of Learner-Centered Curriculum and Instruction, 20, 231-261.
  27. L. C. Freeman. (1978). Centrality in social networks conceptual clarification. Social networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
  28. (2014) The State Council Information Office of the People's Republic of China. http://www.scio.gov.cn/32344/32345/37799/38021/xgzc38027/Document/1623955/1623955.htm
  29. X. Li. (2008, October). Analysis on the airport terminal bonded logistic park planning and industry economic effect. 2008 IEEE International Conference on Service Operations and Logistics, and Informatics. (pp. 1385-1389). Piscataway : Institute of Electrical and Electronics Engineers. DOI.org/10.1109/SOLI.2008.4686617
  30. B. Zou, H. Lu, & Q. Liu. (2008). Towards a Hub-and-Spoke Network: A Study on the Chinese Mainland Hub Airport Planning. Plan, Build, and Manage Transportation Infrastructure. (pp. 134-146). China : American Society of Civil Engineers. DOI.org/10.1061/40952(317)14
  31. H. H. Kim, J. W. Jeon, & G. T. Yeou. (2018). Forecasting Model of Air Passenger Demand Using System Dynamics. Journal of Digital Convergence. 16(5), 137-143. DOI : 10.14400/JDC.2018.16.5.137
  32. T. J. Shin, & T. W. Rho. (2019). Effects of Non-aeronautical Revenue on Airport Charges: Moderation of Private Ownership. Journal of Digital Convergence. 17(9), 39-46. DOI : 10.14400/JDC.2019.17.9.039