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Simulating the Impacts of the Greenbelt Policy Reform on Sustainable Urban Growth: The Case of Busan Metropolitan Area
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 Title & Authors
Simulating the Impacts of the Greenbelt Policy Reform on Sustainable Urban Growth: The Case of Busan Metropolitan Area
Kim, Jinsoo; Park, Soyoung;
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The greenbelt of South Korea has been under the process of adjustment and removal since its first designated year. This research is aimed at predicting the effect that the removal of the greenbelt has on urban growth. The SLEUTH model was executed via three calibration phases using historical data between 1990 and 2010. The urban growth of Busan Metropolitan City was predicted under its historical trend, as well as two different scenarios including development and compact development up to the year 2030. The accuracy of model, as verified by ROC, was 85.7%. The historical trend scenario showed the smallest increase, with the urban area expanding from 175.96 km2 to 214.68 km2 in 2030. Scenario 2, the development scenario, showed the most increase, with a 39.9% growth rate from 2010 to 2030. However, according to scenario 3, the compact development scenario, the urban area decreased in comparison to scenario 2. Accordingly, it is necessary to have effective urban growth management to provoke eco-friendly development on the removed areas, and to strengthen the non-removed areas for sustainable development. The results obtained in this study showed that the SLEUTH model can be useful for predicting urban growth, and that it can help policy makers establish proper urban planning as a decision-support tool for sustainable development.
Greenbelt;SLEUTH;Compact Development;ROC;Sustainable Development;
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Bengston, D. and Youn, Y. (2005), Seoul’s greenbelt: an experiment in urban containment, In: Bengston, D., (tech. ed.) Policies for Managing Urban Growth and Landscape Change: A Key to Conservation in the 21st Century (Gen Tech Rep NC-265). US Department of Agriculture, Forest Service, North Central Research Station, St. Paul, pp. 27-34.

Brown, D.G., Page, S.E., Riolo, R., and Rand, W. (2004), Agent-based and analytical modeling to evaluate the effectiveness of greenbelts, Environmental Modeling & Software, Vol. 19, No. 12, pp. 1097-1109. crossref(new window)

Candau, J.T. (2002), Temporal Calibration Sensitivity of the SLEUTH Urban Growth Model, Master's thesis, Department of Geography, University of California, Santa Barbara, CA, 116p.

Chaudhuri, G. and Clarke, K.C. (2014), Temporal accuracy in urban growth forecasting: a study using the SLEUTH model, Transactions in GIS, Vol. 18, No. 2, pp. 302-320. crossref(new window)

Chin, N. (2002), Unearthing the roots of urban sprawl: a critical analysis of form, function and methodology, Centre for Advanced Spatial Analysis, University College of London, London, 47p.

Clarke, K.C. (2008), A decade of cellular urban modeling with SLEUTH: unresolved issues and problems, In: Brail, R.K. (ed.) Planning Support Systems for Cities and Regions, Lincoln Institute of Land Policy, Cambridge, MA, pp. 47-60.

Clarke, K.C. and Gaydos, L.J. (1998), Loose–coupling a cellular automaton model and GIS: long–term urban growth prediction for San Francisco and Washing–ton/Baltimore, International Journal of Geographical Information Science, Vol. 12, No. 7, pp. 699-714. crossref(new window)

Clarke, K.C., Hoppen, S., and Gaydos, L. (1996), Methods and techniques for rigorous calibration of a cellular automaton model of urban growth, Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, New Mexico.

Clarke, K.C., Hoppen, S., and Gaydos, L. (1997), A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area, Environmental and Planning B: Planning and Design, Vol. 24, No. 2, pp. 247-261. crossref(new window)

Dawkins, C.J. and Nelson, A.C. (2002), Urban containment policies and housing prices: an international comparison with implications for future research, Land Use Policy, Vol. 19, No. 1, pp. 1-12. crossref(new window)

Dietzel, C. and Clarke, K.C. (2004), Replication of spatio-temporal land use patterns at three levels of aggregation by an urban cellular automata, In: Cellular Automata, Springer, Berlin Heidelberg, pp. 523-532.

Dietzel, C. and Clarke, K.C. (2007), Toward optimal calibration of the SLEUTH land use change model, Transactions in GIS, Vol. 11, No. 1, pp. 29-45.

Gigalopolis, (2003), Project Gigalopolis: urban and land cover modeling, University of Santa Barbara, Santa Barbara, CA,

Han, H. (2011), Development of Future Land Use Scenarios Consistent with Climate Change Storyline, Research Report 2011–05, Korea Environment Institute, pp. 1-153. (in Korean with English abstract)

KantaKumar, N.L., Sawant, N.G., and Kumar, S. (2011), Forecasting urban growth based on GIS, RS and SLEUTH model in Pune metropolitan area, International Journal of Geomatics and Geosciences, Vol. 2, No. 2, pp. 568-579.

Kim, D. (2013), Simulating urban growth with the Metronamica model: a case study on the Seoul Metropolitan Area, Korea, Journal of Korea Spatial Planning Review, Vol. 78, pp. 3-17. (in Korean with English abstract) crossref(new window)

Kim, H., Jeong, J., and Kim, Y. (2012), Analysis of climate variability under various scenarios for future urban growth in Seoul Metropolitan Area (SMA), Korea, Journal of Korean Society for Atmospheric Environment, Vol. 28, No. 3, pp. 261-272. (in Korean with English abstract) crossref(new window)

Kim, J. and Yeo, C. (2008), Measuring greenbelt policy effects through the urban growth prediction model, Journal of Korea Planning Association, Vol. 43, No. 3, pp. 211-223. (in Korean with English abstract)

Kim, M. and Kim, U. (2014), Inundation analysis of urban area considering climate change using SLEUTH model, Journal of Korean Society of Hazard Mitigation, Vol. 14, No. 3, pp. 277-290. (in Korean with English abstract)

Leao, S., Bishop, I., and Evans, D. (2004), Simulating urban growth in a developing nation's region using a cellular automata-based model, Journal of Urban Planning and Development, Vol. 130, No. 3, pp. 145-158. crossref(new window)

Lee, S. and Oh, K. (2010), Analyzing the effect of greenbelt on urban growth and environmental pollution by cellular automata method, Journal of Korea Planning Association, Vol. 45, No. 3, pp. 193-208. (in Korean with English abstract)

Park, I. and Ha, S. (2013), Land use change prediction of Cheongju using SLEUTH model, Journal of Environmental Impact Assessment, Vol. 22, No. 1, pp. 109-116. (in Korean with English abstract) crossref(new window)

Pontius, R.G. and Schneider, L.C. (2001), Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA, Agriculture, Ecosystem and Environment, Vol. 85, No. 1, pp. 239-248. crossref(new window)

Rafiee, R., Mahiny, A.S., Khorasani, N., Darvishsefat, A.A., and Danekar, A. (2009), Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM), Cities, Vol. 26, No. 1, pp. 19–26. crossref(new window)

Sakieh, Y., Amiri, B.J., Danekar, A., Feghhi, J., and Dezhkam, S. (2014), Simulating urban expansion and scenario prediction using a cellular automata urban growth model, SLEUTH, through a case study of Karaj City, Iran, Journal of Housing and the Built Environment, pp. 1-21 (Published online: 23 December 2014).

Silva, E.A. and Clarke, K.C. (2002), Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal. Computers, Environment and Urban Systems, Vol. 26, No. 6, pp. 525–552. crossref(new window)

Wu, X., Hu, Y., He, H.S., Bu, R., Onsted, J., and Xi, F. (2009), Performance evaluation of the SLEUTH model in the Shenyang metropolitan area of northeastern China, Environmental Modeling and Assessment, Vol. 14, No. 2, pp. 221-230. crossref(new window)

Yokohari, M., Takeuchi, K., Watanabe, T., and Yokota, S. (2000), Beyond greenbelts and zoning: a new planning concept for the environment of asian mega-cities, Landscape and Urban Planning, Vol. 47, No. 3, pp. 159-171. crossref(new window)