Geographically Weighted Regression on the Characteristics of Land Use and Spatial Patterns of Floating Population in Seoul City

Title & Authors
Geographically Weighted Regression on the Characteristics of Land Use and Spatial Patterns of Floating Population in Seoul City
Yun, Jeong Mi; Choi, Don Jeong;

Abstract
The key objective of this research is to review the effectiveness of spatial regression to identify the influencing factors of spatial distribution patterns of floating population. To this end, global and local spatial autocorrelation test were performed using seoul floating population survey(2014) data. The result of Moran's I and Getis-Ord $\small{Gi^*}$ as used in the analysis derived spatial heterogeneity and spatial similarities of floating population patterns in a statistically significant range. Accordingly, Geographically Weighted Regression was applied to identify the relationship between land use attributes and population floating. Urbanization area, green tract of land of micro land cover data were aggregated in to $\small{400m{\times}400m}$ grid boundary of Seoul. Additionally public transportation variables such as intersection density transit accessibility, road density and pedestrian passage density were adopted as transit environmental factors. As a result, the GWR model derived more improved results than Ordinary Least Square(OLS) regression model. Furthermore, the spatial variation of applied local effect of independent variables for the floating population distributions.
Keywords
Micro Land Cover;Population Flow;Geographically Weighted Regression;
Language
Korean
Cited by
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