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Residential Relocation in a Metropolitan Area: A Case Study of the Seoul Metropolitan Area, South Korea

In: Spatial Econometric Interaction Modelling

Author

Listed:
  • Monghyeon Lee

    (The University of Texas at Dallas)

  • Yongwan Chun

    (The University of Texas at Dallas)

Abstract

Spatial interaction models have been utilized to model the movements of population. For instance, population migration, which generally refers to long distance movements such as interstate migration, has been widely investigated with this modeling framework. Recent research shows that a spatial interaction model can be significantly improved by incorporating network autocorrelation in its model specification. This new approach has been used in various types of population movement such as migration and commuting. However, network autocorrelation is rarely investigated for residential relocation, which refers to short distance movements within a small region such as a metropolitan area. This paper investigates the patterns of residential relocation with an empirical flow dataset in the Seoul metropolitan area, South Korea. Spatial interaction models are specified with an offset term and are estimated with Poisson and negative binomial regression. The eigenvector spatial filtering method is utilized to account for network autocorrelation in the models.

Suggested Citation

  • Monghyeon Lee & Yongwan Chun, 2016. "Residential Relocation in a Metropolitan Area: A Case Study of the Seoul Metropolitan Area, South Korea," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 441-463, Springer.
    • Handle: RePEc:spr:adspcp:978-3-319-30196-9_17
    DOI: 10.1007/978-3-319-30196-9_17
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