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A Comparative Study on the Genetic Algorithm and Regression Analysis in Urban Population Surface Modeling  

Choei, Nae-Young (홍익대학교 공과대학 건설도시공학부 도시공학)
Publication Information
Spatial Information Research / v.18, no.5, 2010 , pp. 107-117 More about this Journal
Abstract
Taking the East-Hwasung area as the case, this study first builds gridded population data based on the municipal population survey raw data, and then measures, by way of GIS tools, the major urban spatial variables that are thought to influence the composition of the regional population. For the purpose of comparison, the urban models based on the Genetic Algorithm technique and the regression technique are constructed using the same input variables. The findings indicate that the GA output performed better in differentiating the effective variables among the pilot model variables, and predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression models. The study results indicate that GA technique could be a very useful and supplementary research tool in understanding the urban phenomena.
Keywords
Genetic Algorithm; Regression; Stepwise Regression; Population Surface Model; Fitness Function;
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Times Cited By KSCI : 2  (Citation Analysis)
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