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Delimitation of Residential Mobility Areas by Households Types: Using Network Community Detection as Markov Dynamics

Jae Seong You 1

1국토연구원

Accredited

ABSTRACT

Residential mobility in the city is the most important factor in the relocation of the population. For desirable density planning and house policy, the areas of interaction of residential mobility should be identified. This study delimitate Residential Mobility Areas(RMAs) by households types using migration data of South Korea. Through the network community detection method using random walk, it is possible to delimitate geographical boundaries of inter-regional interactions through residential mobility. As a result of examining the change of the RMAs according to the change of Markov time, it was found that the RMAs is affected administrative boundary, topographical factors, and housing characteristics and hierarchically integrate regions with similar characteristics. Also, there is a difference in the RMAs by households types, which seems to be attributable to the different housing demand by households types. When the pattern of RMAs and the residential mobility patterns were together, the RMAs represented the boundary that correspond to the main patterns of residential mobility. Therefore, the derived RMAs can represent the density planning, housing supply planning, or the effective area by policy, and has a policy implication that it can be used as a method of delimitate geographical areas for density planning and housing policy.

Citation status

* References for papers published after 2022 are currently being built.