An application of the urbansim land price model in yongsan-gu, Seoul, Korea

Yongjin Joo; Mohammad Mehedy Hassan; Chulmin Jun

doi:10.1080/12265934.2011.580138

An application of the urbansim land price model in yongsan-gu, Seoul, Korea

Yongjin Joo, Mohammad Mehedy Hassan, Chulmin Jun

Department of Geoinformatics

University of Seoul

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The land price model in Yongsan-gu aims to assist the development of an integrated land-use and transport model for Seoul city. The simulation software and modelling approach used is UrbanSim, which is comprised of a number of models. One of these models is the land price model. Factors that affect land prices in urban areas are analyzed, categorized and used to explain spatial differences at 150 m × 150 m grid cells in Yongsan-gu by employing a hedonic regression model. The current model is part of the data development of an UrbanSim model for Seoul city. The data preparation, estimation and modelling results are described in this working paper. This paper hopes to contribute to developing an agent-based large scale land-use and transport model in Korea and surrounding countries.

Original language	English
Pages (from-to)	15-24
Number of pages	10
Journal	International Journal of Urban Sciences
Volume	15
Issue number	1
DOIs	https://doi.org/10.1080/12265934.2011.580138
State	Published - Apr 2011

Keywords

Hedonic regression model
Untegrated land-use and transport models
Urbansim

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/12265934.2011.580138

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abstract = "The land price model in Yongsan-gu aims to assist the development of an integrated land-use and transport model for Seoul city. The simulation software and modelling approach used is UrbanSim, which is comprised of a number of models. One of these models is the land price model. Factors that affect land prices in urban areas are analyzed, categorized and used to explain spatial differences at 150 m × 150 m grid cells in Yongsan-gu by employing a hedonic regression model. The current model is part of the data development of an UrbanSim model for Seoul city. The data preparation, estimation and modelling results are described in this working paper. This paper hopes to contribute to developing an agent-based large scale land-use and transport model in Korea and surrounding countries.",

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An application of the urbansim land price model in yongsan-gu, Seoul, Korea

Abstract

Keywords

UN SDGs

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