Analysis of Daily Living Sphere Considering Population Movement Characteristics

Authors: So-Yeong Lee, Hee-Sun Joo

DOI: https://doi.org/10.37082/IJIRMPS.IPMESS-24.2

Short DOI: https://doi.org/mgd6

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Abstract: In this study, centrality analysis and cohesion analysis were conducted among social network analysis methods after processing and constructing an OD matrix for external and internal movement of the working population in Gyeongsangnam-do based on mobile travle data provided by SKT base station. In the analysis of degree centrality, external migration was high in Gimhae-si, Yangsan-si, and Changwon-si, and internal migration in the province, it was high in Changwon-si and Gimhae-si, Haman-gun, showing that it has more potential. The results of the betweenness centrality analysis were high in the case of external migration in Seoul, Jeju Special Self-Governing Province, Sejong Special Self-Governing Province, and Gangwon-do, and internal migration in the province, it was high in Changwon, Jinju, Haman-gun, and Gimhae-si. The results of the eigenvector centrality analysis were high in Gimhae-si, Yangsan-si, and Busan Metropolitan City for external migration, and internal migration in the province, Changwon-si, Gimhae-si, and Haman-gun showed high eigenvector centrality. Until now, most of the urban district plans have been discussed for the purpose of strengthening the spatial structure and competitiveness of metropolitan cities. This study is significant in that it looked at commuter traffic zones at the level of local small and medium-sized cities and derived a new planned execution space unit called commuter traffic zones for the workplace population. In the future, it can be considered as a basic reference indicator in promoting regional plans at the urban level.

Keywords: Movement Pattern, Big Data, Centrality Analysis, Living Sphere

Paper Id: 4.202

Published On: 2024-01-30

Published In: Special Issue - International Conference on Innovative Practices in Management, Engineering & Social Sciences (January 2024)

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