Browse > Article
http://dx.doi.org/10.5659/JAIK.2022.38.9.23

Establishment of Commuting Areas in the Workplace Population using Network Analysis - Based on Mobile Travel Big Data -  

Lee, So-Yeong (Dept. of Urban Engineering, Gyeongsang National University)
Bae, Min-Cheul (Dept. of Urban Engineering, Gyeongsang National University)
Joo, Hee-Sun (Dept. of Urban Engineering, Gyeongsang National University)
Publication Information
Journal of the Architectural Institute of Korea / v.38, no.9, 2022 , pp. 23-34 More about this Journal
Abstract
The importance of establishing a regional living area outside the boundaries of administrative districts is emerging. This is because if an appropriate spatial range reflecting population movement is not considered, the results of spatial concentration and dispersion may proceed very quickly, resulting in bias of population movement and population imbalance. Recently, research has begun to set a region by processing log records of mobile base station data into passing data. Therefore, in this study, based on mobile mobile travle data provided by SKT base station, it was processed and constructed as an OD matrix for external and internal movement of the workplace population in Gyeongsangnam-do, and then centrality analysis and cohesion analysis were conducted. As a result of centrality measurement and community analysis, in the connection degree centrality analysis, out-of-province movement was high in Gimhae-si, Yangsan-si, and Changwon-si. In the case of movement within the province, it can be seen that Changwon-si and Gimhae-si, Haman-gun have more potential than other regions. The results of the betweenness centrality analysis were high in Changwon-si, Gimhae-si, Jinju-si, and Hamyang-gun in the case of out-of-province movement. In the case of internal movement, Changwon-si, Jinju-si, Haman-gun, and Gimhae-si were high. The results of the eigenvcector centrality analysis were high in Gimhae-si, Yangsan-si, and Changwon-si in the case of out-of-province movement. In the case of movement within the province, it was found that Changwon-si, Gimhae-si, and Haman-gun showed high power centrality. Finally, a cohesion analysis was conducted based on the movement network of the workplace population in Gyeongsangnam-do. Through this, groups with strong cohesion even within the network were grouped into several subgroups according to certain criteria, and the central commuting area was derived. As a result of the analysis, the moving community of the workplace population outside of Gyeongsangnam-do was divided into a total of four communities, and the moduarlity was 0.833 and was derived as a relatively objective value. The moving community of the workplace population in Gyeongsangnam-do was also divided into four communities, and modularity was also analyzed as a relatively objective value of 0.808. This study is meaningful in that it examines commuting and traffic areas at the level of local small and medium-sized cities, and a new plan execution space unit called commuting and traffic areas of the workplace population was derived. In the future, it can be considered as a basic reference indicator in the promotion of regional plans at the urban level.
Keywords
Population Commuting to Workplace; Big Data; Centrality Analysis; Community Analysis; Living Area;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Champion, T., Cooke, T., & Shuttleworth, I. (2018). Internal Migration in the Developing World: Are We Becoming Less Mobile?, Routledge, New York.
2 Choi, J. H. (2010). Spatial structure and its position of Incheon within the capital region in the analysis of journey-to-work traffic patterns, Korean Journal of Urban Studies, 51(4), 47-68.
3 Ha, S. K. (2005). A study on the actual conditions and the determinants of interregional migration, The Korean Journal of Local Government Studies, 9(3), 309-332.
4 Kwak, C. H., & Lee, J. (1997). The metropolitan Chinju in western Kyungnam with special reference to the commuting areas, Journal of The Korean Association of Regional Geographers, 3(1), 13-34.
5 Kwon, K. S. (2019). Network community detection as a method to delimitate functional regions, Journal of the Korean Geographical Society, 54(3), 405-420.
6 Kim, D. H., Lee, Y. S., & Choi, S. H. (2010). Analyzing changes of commuting areas in Korea using the primary linkage analysis: focused on the small and medium cities, Journal of Korea Planning Association, 45(5), 191-204.
7 Kim, J. W., & Yeom, I. Y. (2017). A current situation and its policy implication of population distribution and migration of local government in capital area: A case of city of Uijeongbu, The Journal of Korean Policy Studies, 17(3), 43-63.
8 Kim, K. H., Lee, D. Y., Kim, D. H., Won, M. S., Hong, S. M., & Song, T. J. (2021). A Study on the classification and understanding of travel boundary by city population scale based on mobile travel data, Korean Society of Transportation, 39(5), 662-679.   DOI
9 Lee, J. M., & Hong, S. H. (2014). An analysis on the dynamics of commuting and schooling networks among Chungbuk cities and counties, Regional Policy Review, 25(1), 141-161.
10 Borgatti, S. P., & Everett, M.. G. (1997). Network analysis of 2-Mode data, Social Networks, 19(3), 243-269.   DOI
11 Kim, S. H., Lim, H. J., & Heo, J. (2020). Analysis of Seoul living sphere using origin-destination data from a mobile phone network, The Korea Society For GeospatIal Information System, 28(1), 3-10.
12 Chae, S. J. (2015). The characteristics of migration based on the regional classification: case of fundamental local governments in Chungbuk province, Regional Policy Review, 26(2), 1-21.
13 Lee, J. S., Seo, Y. C., & Kim, S. R. (2018). Network centrality analysis based on regional size: Focusing on transformation of commuting data, Journal of the Korean Regional Development Association, 30(4), 71-84.   DOI
14 Lee, S. H. (2021). A study on exploring the spatial boundary and characteristics of Suwon city-region based on functional linkage, Journal of the Korean Geographical Society, 56(2), 181-199.   DOI
15 Lim, H. J., & Park, S. H. (2020). Analysis of mobile spatial big data at Tama new town, Journal of The Korean Cadastre Information Association, 22(1), 95-107.   DOI
16 Scott, J., & Carrington, P. J. (2011). The SAGE Handbook of Social Network Analysis, SAGE Publications, New York.
17 Smith, D. P., Finney, N., Halfacree, K., & Walford, N. eds., (2015). Internal Migration: Geographical Perspectives and Processes, Routledge, New York.
18 Yun, K. S. (2015). An analysis of migration characteristics in Dong-nam economic region and its implication for regional development policy, Journal of the Korean Regional Development Association, 27(2), 1-15.
19 De Haas, H., Castles, S., & Miller, M. J. (2020). The Age of Migration: International Population Movements in the Modern World, 6th edition, The Guilford Press, New York.
20 Lee, K. S., Eom, J. K., Seong, M. E., You, S. Y., Min, J. H., & Lee, J. (2017). Usability of mobile phone big data: Focusing on the activity and mobility patterns and urban railway network in the Uijeongbu city, Journal of Korea Planning Association, 52(5), 113-130.
21 Ma, S. Y., Jeong, J. H., & Kim, S. S. (2012). Current status of population movement in Gyeongsangnam region and implications, Policy Focus, -(2012), 1-45.
22 Ryu, J. H. (2009). A comparative study on the commuting regional type according to the features of foreigner commuting, Journal of the Korean Geographical Society, 44(3), 339-354.
23 Sheller, M., & Urry, J. (2006). The new mobilities paradigm, Environment and planning A, 38(2), 207-226.   DOI
24 Stillwell, J., Duke-Williams, O., & Dennett, A. eds., (2010). Technologies for Migration and Commuting Analysis: Spatial Interaction Data Applications, Business Science Reference, New York.
25 Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications, Cambridge University Press.
26 Woo, M. G. (2020). Regional planning for regional development in the era of population decline, Urban Information Service, -.465(2020), 22-26.
27 Yun, S. D., Chung, I. H., & Lee, S. W. (2009). An evaluation on the feasibility of transforming Donghae-Nambu rail line as an inter-metropolitan rail road using commuting demand projection, Journal of the Korean regional economics, 14, 65-85.