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A microscale simulation of land prices, household and employment growth using UrbanSim in Yongsan-Gu, Seoul
Since cities continue to suffer from traffic congestion, high growth population, increased pressure of upgrading infrastructure and deterioration in environmental quality; many metropolitan organizations have switched their focus on growth modeling at micro level in order to estimate patterns, evolution and behavior of major elements involved in urban processes. The aim of this study is to employ the UrbanSim microsimulation land use model for Seoul city. This study attempts to simulate a set of UrbanSim land use models based on developed a dataset from Yongsan-Gu. The employed method includes microscale simulation of land prices, household and employment growth in Yongsan-Gu. In addition, by using the statistical model, various factors regarding location, neighborhood, built environment, economics, and demographics are analyzed in order to assess spatial variation of residential and non-residential location patterns. The input data preparation, model estimation, and strategy that were employed within the microsimulation model on different land use characteristics are described in this working paper.
A microscale simulation of land prices, household and employment growth using UrbanSim in Yongsan-Gu, Seoul
Since cities continue to suffer from traffic congestion, high growth population, increased pressure of upgrading infrastructure and deterioration in environmental quality; many metropolitan organizations have switched their focus on growth modeling at micro level in order to estimate patterns, evolution and behavior of major elements involved in urban processes. The aim of this study is to employ the UrbanSim microsimulation land use model for Seoul city. This study attempts to simulate a set of UrbanSim land use models based on developed a dataset from Yongsan-Gu. The employed method includes microscale simulation of land prices, household and employment growth in Yongsan-Gu. In addition, by using the statistical model, various factors regarding location, neighborhood, built environment, economics, and demographics are analyzed in order to assess spatial variation of residential and non-residential location patterns. The input data preparation, model estimation, and strategy that were employed within the microsimulation model on different land use characteristics are described in this working paper.
A microscale simulation of land prices, household and employment growth using UrbanSim in Yongsan-Gu, Seoul
Hassan, Mohammad Mehedy (Autor:in) / Jun, Chulmin (Autor:in)
International Journal of Urban Sciences ; 15 ; 201-213
01.12.2011
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
An application of the UrbanSim land price model in Yongsan-gu, Seoul, Korea
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