Title |
Establishment of Commuting Areas in the Workplace Population using Network Analysis |
Authors |
이소영(Lee, So-Yeong) ; 배민철(Bae, Min-Cheul) ; 주희선(Joo, Hee-Sun) |
DOI |
https://doi.org/10.5659/JAIK.2022.38.9.23 |
Keywords |
Population Commuting to Workplace; Big Data; Centrality Analysis; Community Analysis; Living Area |
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. |