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Spatial Econometric Interaction Modelling pp 441–463Cite as

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

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Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

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.

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Notes

  1. 1.

    An offset model specification is commonly utilized in modeling disease rates (e.g. Lawson et al. 2003).

  2. 2.

    Using contr.sum() function in R.

  3. 3.

    The test statistics of the likelihood ratio test for the Poisson models is 4,099,762 with 236 degrees of freedom. For the NB models, the test statistic is 3082.44 with 91 degrees of freedom.

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Authors and Affiliations

  1. School of Economic, Political and Policy Science, The University of Texas at Dallas, Richardson, TX, USA

    Monghyeon Lee & Yongwan Chun

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  1. Monghyeon Lee
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  2. Yongwan Chun
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Correspondence to Monghyeon Lee .

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Editors and Affiliations

  1. Department of Economics, University of Bologna, Rimini, Italy

    Roberto Patuelli

  2. Università Cattolica del Sacro Cuore, Rome, Italy

    Giuseppe Arbia

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Lee, M., Chun, Y. (2016). Residential Relocation in a Metropolitan Area: A Case Study of the Seoul Metropolitan Area, South Korea. In: Patuelli, R., Arbia, G. (eds) Spatial Econometric Interaction Modelling. Advances in Spatial Science. Springer, Cham. https://doi.org/10.1007/978-3-319-30196-9_17

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