TY - GEN
T1 - Mapping urban growth probabilty in South Korea
T2 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
AU - Jin, Cheong Gil
AU - Jeon, Sung Woo
AU - Choi, Chul Uong
AU - Park, So Young
PY - 2010
Y1 - 2010
N2 - Rapid industrialization and economic growth in South Korea since the 1970s have resulted in severe environmental disturbance and pollution, problems aggravated by the imprudent expansion of urban areas. This paper analyzes and predicts urban growth patterns with the aim of contributing to more efficient urban planning. Urban growth probability index (UGPI) maps were prepared using the frequency ratio (FR), analytical hierarchy process (AHP), and logistic regression (LR) methods, with and without considering development restrictions based on the national Environmental Conservation Value Assessment Map (ECVAM). Environmental and legal restrictions were associated with an average 41.70% difference in conservation areas and an 81.32% average difference in agriculture and forest land use-land cover (LULC). Accuracy of the models was examined by "area under the curve" (AUC) analysis. Accuracies of UGPI maps produced with the ECVAM were higher than UGPI maps produced without the ECVAM. In addition, effectiveness and accuracy tests based on LULC showed that the UGPI maps produced with the ECVAM had a higher rate of accuracies to UGPI maps produces without the ECVAM. Using the ECVAM and assuming that the urban and built-up area will be 1.5 times greater than in 2005 and that environmental restrictions are removed, urban development can be expected to more than double in conservation areas and borderlands, increase by more than 1.5 times in developable areas, and decrease by half in old downtown areas. If legal restrictions are removed, urban development is expected to occur mostly in former conservation areas, followed by borderlands, old downtowns, and developable areas.
AB - Rapid industrialization and economic growth in South Korea since the 1970s have resulted in severe environmental disturbance and pollution, problems aggravated by the imprudent expansion of urban areas. This paper analyzes and predicts urban growth patterns with the aim of contributing to more efficient urban planning. Urban growth probability index (UGPI) maps were prepared using the frequency ratio (FR), analytical hierarchy process (AHP), and logistic regression (LR) methods, with and without considering development restrictions based on the national Environmental Conservation Value Assessment Map (ECVAM). Environmental and legal restrictions were associated with an average 41.70% difference in conservation areas and an 81.32% average difference in agriculture and forest land use-land cover (LULC). Accuracy of the models was examined by "area under the curve" (AUC) analysis. Accuracies of UGPI maps produced with the ECVAM were higher than UGPI maps produced without the ECVAM. In addition, effectiveness and accuracy tests based on LULC showed that the UGPI maps produced with the ECVAM had a higher rate of accuracies to UGPI maps produces without the ECVAM. Using the ECVAM and assuming that the urban and built-up area will be 1.5 times greater than in 2005 and that environmental restrictions are removed, urban development can be expected to more than double in conservation areas and borderlands, increase by more than 1.5 times in developable areas, and decrease by half in old downtown areas. If legal restrictions are removed, urban development is expected to occur mostly in former conservation areas, followed by borderlands, old downtowns, and developable areas.
KW - Analytical hierarchy process
KW - Environmental conservation value assessment map
KW - Frequency ratio
KW - Land-use landcover
KW - Logistic regression
KW - Urban growth probability index
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M3 - Conference contribution
AN - SCOPUS:84865616635
SN - 9781617823978
T3 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
SP - 303
EP - 309
BT - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
Y2 - 1 November 2010 through 5 November 2010
ER -