대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제39권6호
  • /
  • Pages.155-166
  • /
  • 2023
  • /
  • 2733-6239(pISSN)
  • /
  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
권호 표지
DOI QR코드

DOI QR Code

블록 모델링을 활용한 COVID-19 전후 생활인구 네트워크 비교연구 - 경상남도 인구 이동을 중심으로 -

A Comparative Study on the Living Population Network Before and After COVID-19 Using Block Modeling - Gyeongsangnam-do Population Movement Case Study -

  • 이소영 (경상국립대학교 도시공학과 ) ;
  • 주희선 (경상국립대학교 도시공학과)
  • Lee, So-Yeong (Urban Planning Lab, Gyeongsang National University) ;
  • Joo, Hee-Sun (Dep. Urban Engineering, Gyeongsang National University)
  • 투고 : 2023.02.15
  • 심사 : 2023.05.08
  • 발행 : 2023.06.30
⟨ 이전 논문 다음 논문 ⟩

초록

This study analyzed network characteristics to understand population mobility in Gyeongsangnam-do before and after COVID-19. Mobile travel data from September 2019 and 2020 were compared to analyze daily movement during the same period. Data from 22 cities and counties in Gyeongsangnam-do and 16 cities and provinces nationwide were analyzed using network statistics and block modeling techniques. The analysis showed that movements were simplified into five blocks after COVID-19, compared with six blocks before, indicating a simpler movement pattern. Urban migration may continue regardless of surrounding areas, post-COVID-19. When a metro area's population surpasses half of the total population, fundamental measures are needed to address population concentration. Emphasize regional hub cities in development policies. This study is significant because it demonstrates changes in population movement in Gyeongsangnam-do before and after COVID-19 using centrality and movement pattern analysis. To fully understand population movement in Gyeongsangnam-do, analyze data on freight, information, and capital movement, as well as distance between regions, in conjunction with the study results. Address these limitations in future research.

키워드

과제정보

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2020R1G1A1101214).

참고문헌

  1. Alderson, A. S., & Beckfield, J. (2004). Power and position in the world city system, American Journal of Sociology, 109(4), 811-851.  https://doi.org/10.1086/378930
  2. Baek, Y. J., & Joo, H. S. (2022). A study on urban spatial structure of Bu-Ul-Gyeong megacity analyzing the population flow network, Journal of the Architectural Institute of Korea, 38(12):241-250.  https://doi.org/10.5659/JAIK.2022.38.12.241
  3. Batagelj, V. (1997). Notes on block modeling, Social Networks, 19(2), 143-155.  https://doi.org/10.1016/S0378-8733(96)00297-3
  4. Bonacich, P. (1987). Power and centrality: A family of measures, American Journal of Sociology, 92(5), 1170-1182.  https://doi.org/10.1086/228631
  5. Borgatti, P. S. (2005). Centrality and network flow, Social Networks, 27(1), 55-71.  https://doi.org/10.1016/j.socnet.2004.11.008
  6. Boyd, J. P., Mahutga, M. C., & Smith, D. A. (2013). Measuring centrality and power recursively in the world city network: A reply to neal, Urban Studies, 50(8), 1641-1647. https://doi.org/10.1177/0042098012466599
  7. Carrington, J. P., Scott, J., & Wasserman, S. (2005). Models and Methods in Social Network Analysis, Cambridge, Cambridge University Press. 
  8. Choi, Y. S. (2022). A Study on the Characteristics of Population Change and Outflow in Population Decreasing Areas, Sejong, Korea Research Institute for Human Settlements. 
  9. Chung, J. Y. (2020). Planning for new normal in the post COVID-19 city, Review of Architecture and Building Science, 64(6), 45-48. 
  10. Dogan, S. Z., Arditi, D., Gunhan, S., & Erbasaranoglu, B. (2013). Assessing coordination performance based on centrality in an E-mail communication network, Journal of Management in Engineering, 31(3), 04014047. 
  11. Friedkin, N. (1991). Theoretical foundations for centrality measures, American Journal of Sociology, 96(6), 1478-1504.  https://doi.org/10.1086/229694
  12. Friemel, T. N. (2008). Anatomie von Kommunikationsrollen, KZfSS Kolner Zeitschrift fur Soziologie und Sozialpsychologie, 60(3), 473-499.  https://doi.org/10.1007/s11577-008-0024-7
  13. Geiger, M., & Pecoud, A. (2013). Migration, development and the 'migration and development nexus', Population, Space and Place, 19(4), 369-374.  https://doi.org/10.1002/psp.1778
  14. Ha, E. H., Lee, C.H., Ko, M.K., & Kim, K.Y. (2021). The differential effect of COVID-19 on mobility, Journal of the Korean Cartographic Association, 21(3), 59-76.  https://doi.org/10.16879/jkca.2021.21.3.059
  15. Ha, H. Y., & Kim, Y. S. (2021). Current Status and Future Challenges of Local Extinction Crisis Areas, Seoul, National Assembly Research Service. 
  16. Ji, S. H. (2020). Changes of Seoul Living Population due to COVID-19, Sejong, Korea Labor Institute. 
  17. Jin, J. H., & Seong, B. C. (2020). Analysis of the differences in living population changes and regional responses by COVID-19 outbreak in Seoul, The Korean Journal of applied Statistics, 33(6), 697-712.  https://doi.org/10.5351/KJAS.2020.33.6.697
  18. Joo, M. J., & Kim, S. Y. (2014). A study on the urban spatial structure using households trip survey: Focusing on the case of Seongnam-si, The Korea Spatial Planning Review, 80, 35-48.  https://doi.org/10.15793/KSPR.2014.80..003
  19. Jung, K. J., & Yoo, S. Y. (2014). Analysis of the type of shrinking city considering migration, Journal of The Urban Design Institute of Korea, 22(5), 125-140.  https://doi.org/10.38195/judik.2021.10.22.5.125
  20. Kim, D. S., & Park, H. J. (2003). Regional differentials in mortality in Korea, 1990~2000, Korea Journal of Population Studies, 26(1), 1-30. 
  21. Kim, H. C., & Ahn, G. H. (2012). Relation of population, jobs, social capitals and centrality in Seoul metropolitan area, using social network theory, Journal of Korea Planning Association, 47(3), 105-122. 
  22. Kim, H. S., & Koo, D. H. (2019). The change of spatial structure of urban networks in Korea, Journal of the Korean Geographical Society, 54(6), 621-636. 
  23. Kim, S. D., Seong, T. Y., & Lee, M. H. (2015). Impacts of inauguration of Sejong metropolitan autonomous city on population migration network in neighboring areas: Focused on population migration in Chungcheong region, Journal of The Korean Regional Development Association, 27(5), 283-302. 
  24. Kim, Y.L., Yoon, M.S., & Lee, H.R. (2021). A Big Data Analysis of Floating Population Network in the Seoul Metropolitan Area in the COVID Era, Suwon, Gyeonggi Research Institute.
  25. Ko, J. S. (2020). Challenges and chances for the construction industry at the advent of the new normal era, Review of Architecture and Building Science, 64(8), 25-28. 
  26. Ko, T. H. (2018). A Study on the Influence of Demographic Change on Local Economy: Focused on Jeju Special Self Governing Province, Kitakyushu, Asian Growth Research Institute. 
  27. Koo, H. S., Kang, D. W., Cho, S. H., Bae, Y. J., & Yoon, S. J. (2018). National Response Strategies for Local Extinction, Sejong, National Research Council for Economics, Humanities and Social Sciences. 
  28. Lee, C. S., & Kim, S. H. (2014). The transition of fertility and the depopulation by the stage migration: A case study of Jeollabuk-do, Journal of the Korean Geographical Society, 49(5), 728-746. 
  29. Lee, E. H., Won, B. R., & Lee, E. J. (2009). Strategies on the Changes of Population Characteristics in Gyeonggi-Do, Suwon, Gyeonggi Research Institute.
  30. Lee, H. S., Roh, J. S., Jung, J. H., & Jang, W. C. (2016). Network analysis of urban-to-rural migration, The Korean Journal of Applied Statistics, 29(3), 487-503.  https://doi.org/10.5351/KJAS.2016.29.3.487
  31. Lee, J. G., & Lee, G. H. (2022). Exploring the change of population flows in an urban area during the COVID-19 pandemic: Focused on the commuting pattern based on Seoul daily fife movement data, Journal of the Korean Urban Geographical Society, 25(2), 15-32.  https://doi.org/10.21189/JKUGS.25.2.2
  32. Lee, J. R. (2017). Change of spatial structure and migration of local central city : The case of Suncheon city in Korea, Journal of the Korean Geographical Society, 52(5), 579-594. 
  33. Lee, M. K., & Lee, J. H. (2010). The effect of regional characteristics on the migration in small and medium-sized cities, KOREAN LOCAL GOVERNMENT REVIEW, 12(3), 139-168. 
  34. Lee, S. H., & Oh, Y. G. (2017). Analysis of the spatio-temporal migration and degree centrality of migration network, Journal of the Korean Society of Agricultural Engineers, 59(5), 1-15.  https://doi.org/10.5389/KSAE.2017.59.5.001
  35. Lee, S. L., Lee, J. H., Koppen, B., Lim, S. J., & Sung, B. S. (2018). Regional Population Crisis and Migration Perspectives in Korea, Sejong, Korea Institute for Health and Social Affairs. 
  36. Lee, S. L. (2014). Internal migration and population ageing at the local level in Korea, Health and welfare policy forum, 218, 49-60. 
  37. Lee, S. M., & Lee, G. H., (2021). Development and application of the flow clusters detection method: A case of public transit trips in Seoul, Journal of the Korean Cartographic Association, 21(2), 129-144.  https://doi.org/10.16879/jkca.2021.21.2.129
  38. Lim, H. J. (2013). Analyzing the spatial structure of knowledge network through social network analysis, Journal of Korea Planning Association, 48(6), 235-248. 
  39. Mahutga, M. C., Ma, X., Smith, D. A., & Timberlake, M. (2010). Economic globalization and the structure of the world city system: The case of airline passenger data, Urban Studies, 47(9), 1925-1947.  https://doi.org/10.1177/0042098010372684
  40. Opsahl, T., & Panzarasa, P. (2009). Clustering in weighted networks, Social Networks, 31(2), 155-163.  https://doi.org/10.1016/j.socnet.2009.02.002
  41. Ryu, E. H., & Kim, E. J. (2021). Analysis of the changes in de facto population pattern and effects of local environment on changes in the de facto population in Seoul after the COVID-19, Journal of the Korean Urban Geographical Society, 24(3), 19-35.  https://doi.org/10.21189/JKUGS.24.3.2
  42. Scott, J. (2000). Social Network Analysis: A Handbook, 2nd ed. London, Sage Publications. 
  43. Shen, J. (2012). Changing patterns and determinants of inter-provincial migration in China 1985-2000, Population, Space and Place, 18(3), 384-402.  https://doi.org/10.1002/psp.668
  44. Shumway, J. M., & Otterstorm, S. (2009), US Regional In-come Change and Migration: 1995-2004, Popul. Space Place, 16(3), 483-497.  https://doi.org/10.1002/psp.566
  45. Smith, D., & Timberlake, M. (2002). Hierarchies of Dominance among World Cities: A Network Approach, 2nd ed. Global Networks Linked Cities, New York, Routledge. 
  46. Sohn, J. Y. (2015). Measuring complementarities between cities in the Korean southeastern region : A network city approach, Journal of The Korean Association of Regional Geographers, 21(1), 21-38. 
  47. Wall, R. S., & van der Knaap, G. A. (2011). Sectoral differentiation and network structure within contemporary worldwide corporate networks, Economic Geography, 87(3), 267-308.  https://doi.org/10.1111/j.1944-8287.2011.01122.x
  48. Wasserman, S. & Faust, K. (1994). Social Network Analysis: Method and Applications, New York, Cambridge University Press. 
  49. Wright, R. A., Ellis, M, & Reibel, M. (1997). The linkage between immigration and internal migration in large metropolitan areas in the United States, Economic Geography, 73(2), 234-254. https://doi.org/10.2307/144449