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@article{ART002537489},
author={Geunhan Kim and Gilsang Lee and Kim, Oh Seok and Hee-Sun Choi},
title={Urban Growth Prediction Using Zoning District and Logistic Regression Analysis},
journal={Journal of the Association of Korean Geographers},
issn={2287-4739},
year={2019},
volume={8},
number={3},
pages={517-527},
doi={10.25202/JAKG.8.3.12}

TY - JOUR
AU - Geunhan Kim
AU - Gilsang Lee
AU - Kim, Oh Seok
AU - Hee-Sun Choi
TI - Urban Growth Prediction Using Zoning District and Logistic Regression Analysis
JO - Journal of the Association of Korean Geographers
PY - 2019
VL - 8
IS - 3
PB - Association of Korean Geographers
SP - 517
EP - 527
SN - 2287-4739
AB - Sustainable conservation and use of national lands requires anticipating the expansion of urban areas and establishing national environmental plans accordingly. As such, this study compared the use district for 2006 and 2018 to predict the expansion of urban areas. It sets the areas changed to urban districts as dependable variables and the factors related to the changes of the urban districts as independent variables and then performed the logistic regression analysis. It derived a regression equation from the logistic regress analysis and applied the current data in 2018 to the derived regression equation to predict the urban growth in 2030. Since urban areas accounted for 4.0% of the total land in Korea as of 2018, it designated the top 4.0% of the urban growth prediction map derived from the analysis as urban districts. It then excluded the existing urban district districts in 2018 from the top 4.0% of the urban growth prediction map. As a result, it predicted that about 1% of the national lands, or 1,087 km2, would be changed to urban districts by 2030. The derived urban growth prediction map would be a good reference for national land plans and environmental plans related to the use and preservation of national lands, and various plans based on the urban growth prediction would contribute to sustainable use and management of national lands.
KW - Prediction of urban growth;Zoning district;Logistic regression analysis;Land use;Environmental plan
DO - 10.25202/JAKG.8.3.12
ER -

Geunhan Kim, Gilsang Lee, Kim, Oh Seok and Hee-Sun Choi. (2019). Urban Growth Prediction Using Zoning District and Logistic Regression Analysis. Journal of the Association of Korean Geographers, 8(3), 517-527.

Geunhan Kim, Gilsang Lee, Kim, Oh Seok and Hee-Sun Choi. 2019, "Urban Growth Prediction Using Zoning District and Logistic Regression Analysis", Journal of the Association of Korean Geographers, vol.8, no.3 pp.517-527. Available from: doi:10.25202/JAKG.8.3.12

Geunhan Kim, Gilsang Lee, Kim, Oh Seok, Hee-Sun Choi "Urban Growth Prediction Using Zoning District and Logistic Regression Analysis" Journal of the Association of Korean Geographers 8.3 pp.517-527 (2019) : 517.

Geunhan Kim, Gilsang Lee, Kim, Oh Seok, Hee-Sun Choi. Urban Growth Prediction Using Zoning District and Logistic Regression Analysis. 2019; 8(3), 517-527. Available from: doi:10.25202/JAKG.8.3.12

Geunhan Kim, Gilsang Lee, Kim, Oh Seok and Hee-Sun Choi. "Urban Growth Prediction Using Zoning District and Logistic Regression Analysis" Journal of the Association of Korean Geographers 8, no.3 (2019) : 517-527.doi: 10.25202/JAKG.8.3.12

Geunhan Kim; Gilsang Lee; Kim, Oh Seok; Hee-Sun Choi. Urban Growth Prediction Using Zoning District and Logistic Regression Analysis. Journal of the Association of Korean Geographers, 8(3), 517-527. doi: 10.25202/JAKG.8.3.12

Geunhan Kim; Gilsang Lee; Kim, Oh Seok; Hee-Sun Choi. Urban Growth Prediction Using Zoning District and Logistic Regression Analysis. Journal of the Association of Korean Geographers. 2019; 8(3) 517-527. doi: 10.25202/JAKG.8.3.12

Geunhan Kim, Gilsang Lee, Kim, Oh Seok, Hee-Sun Choi. Urban Growth Prediction Using Zoning District and Logistic Regression Analysis. 2019; 8(3), 517-527. Available from: doi:10.25202/JAKG.8.3.12

Geunhan Kim, Gilsang Lee, Kim, Oh Seok and Hee-Sun Choi. "Urban Growth Prediction Using Zoning District and Logistic Regression Analysis" Journal of the Association of Korean Geographers 8, no.3 (2019) : 517-527.doi: 10.25202/JAKG.8.3.12