Simulating the Impacts of the Greenbelt Policy Reform on Sustainable Urban Growth: The Case of Busan Metropolitan Area

Park, Soyoung

doi:10.7848/ksgpc.2015.33.3.193

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…In previous researches, the setting of the exclusion layer was relatively simplified as they usually assigned a few different exclusion probabilities. Examples include the simulation of Busan in South Korea where the exclusion probabilities for the three levels were 100% for a greenbelt and 75%, and 0% for two levels of legal conservation areas, respectively [48], and a study of Shanghai in China where the exclusion probability was divided into three levels, 100% for water areas and wetlands, 80% for farmlands, and 60% for grassland [65]. By dividing the MCR-based land suitability assessment map into 20 grades in our study, the exclusion probability was however continuously changed, from 0% to 100%, and the exclusion layer that we generated for Scenario 3 would better characterize the suitability of land for urbanization.…”

Section: Discussionmentioning

confidence: 99%

“…The most straightforward practice is setting the exclusion probability for all areas at 0, though sometimes except for major water bodies [13,29,47]. Another approach is assigning different exclusion probabilities to land use type according to urban planning [13,25,48]. Among them, high exclusion probability can be set for nature reserves, forest areas and waters to reflect the protection of ecological land.…”

Section: Methodsmentioning

confidence: 99%

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Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China

Chen

Cheng

et al. 2019

PLoS ONE

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As uncontrolled urban growth has increasingly challenged the sustainable use of urban land, it is critically important to model urban growth from different perspectives. Using the SLEUTH (Slope, Land use, Exclusion, Urban, Transportation, and Hill-shade) model, the historical data of Hefei in 2000, 2005, 2010, and 2015 were collected and input to simulate urban growth from 2015 to 2040. Three different urban growth scenarios were considered, namely a historical growth scenario, an urban planning growth scenario, and a land suitability growth scenario. Prediction results show that by 2040 urban built-up land would increase to 1434 km2 in the historical growth scenario, to 1190 km2 in the urban planning growth scenario, and to 1217 km2 in the land suitability growth scenario. We conclude that (1) exclusion layers without effective limits might result in unreasonable prediction of future built-up land; (2) based on the general land use map, the urban growth prediction took the governmental policies into account and could reveal the development hotspots in urban planning; and (3) the land suitability scenario prediction was the result of the trade-off between ecological land and built-up land as it used the MCR -based (minimum cumulative resistance model) land suitability assessment result. It would help to form a compact urban space and avoid excessive protection of farmland and ecological land. Findings derived from this study may provide urban planners with interesting insights on formulating urban planning strategies.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China

Chen

Cheng

et al. 2019

PLoS ONE

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“…Greenbelts in South Korea can be considered one of the successful environmental-friendly regulations in Asian countries [25], due to effective preservation of nature surrounding the cities, as well as restraining extensive development. However, Korean greenbelt policies have been deregulated in recent years in response to urban expansion demand for sustainable new town development.…”

Section: Background Of the Researchmentioning

confidence: 99%

“…The urbanization rate of Korea increased from 39.1% to 90.5% for a period of 1960-2008, with the rapid nationwide population increase from 25 million to 48.9 million during the same period [34]. The current population of Korea is estimated at 51,529,338 in 2015 (see Table 1), and 49.7% (25,140,000) of the population lives in Seoul, Incheon, and Gyeonggi-do. In recent years, metropolitan type of expansion has accomplished especially in Seoul and its vicinity.…”

Section: Current Situation Of the Korean Greenbelt Policiesmentioning

confidence: 99%

The Economic Efficiency of Urban Land Use with a Sequential Slack-Based Model in Korea

Choi

Wang

2017

Sustainability

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Abstract:Since the inauguration of the government-led five year economic plans in the 1960s, Korea has achieved remarkable economic development. Korea's economic strategy, known as 'The Miracle on the Han River', focused on heavy and chemical industries such as ship building and petrochemicals and was based on resource intensive urbanization. This rapid urban development caused a series of problems, such as over-development in urban areas, bottlenecks in utilities, and environmental degradation. Nevertheless, the Korean government has recently moved toward deregulation of the greenbelts of major city areas. Since very few studies have analyzed the urban land use economic efficiency (ULUEE) in Korea, this paper assesses the feasibility of recent deregulation policy concerning the greenbelts utilizing the sequential slack-based measure (SSBM) model under environmental constraints across 16 South Korean cities from 2006 to 2013. Our research makes three significant contributions to urbanization research. First, this paper uses an SSBM model to analyze the dynamic changes of urban land use economic efficiency in Korea at the regional level; Second, this paper analyzes factors influencing ULUEE in Korea, and the feasibility of the deregulation policies on the greenbelts; Third, this paper suggests more performance-oriented policy alternatives to improve the ULUEE and implement sustainable greenbelt management.

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“…A prior study assumed that compact development would lead to the full elimination of the greenbelt zone and more compact future urban growth [23]. Under this assumption, we analyzed future urban growth to overcome land shortages due to urban development.…”

Section: Introductionmentioning

confidence: 99%

Simulating Land Use Change in the Seoul Metropolitan Area after Greenbelt Elimination Using the SLEUTH Model

2017

Self Cite

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The aim of this study was to analyze the effect of a policy aimed at the removal of a greenbelt on future urban growth. The SLEUTH model was applied to the Seoul Metropolitan Area, South Korea, to predict urban growth under three different greenbelt removal scenarios. The accuracy of the model was verified using historical data with ROC and Kappa statistics of 82.6 and 76.3%, indicating reasonable accuracy. In the scenarios, suburban development grew in proportion to the degree of reduction of the greenbelt. In two of the scenarios, suburban cities in the inner part of the greenbelt were integrated into the metropolitan area. In scenario 3, a complete removal of the greenbelt resulted in the highest rate of projected urban development. The Seoul Metropolitan Area is under continuous developmental pressure, and the sacrifice of a certain amount of protected land to satisfy this demand may be inevitable. Accordingly, effective urban growth management is necessary to promote ecofriendly and sustainable development in formerly protected areas and to strengthen protection in the areas that will remain protected. The model outputs will be used by the government and policy makers to devise a more flexible and sustainable urban growth management policy.

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Simulating the Impacts of the Greenbelt Policy Reform on Sustainable Urban Growth: The Case of Busan Metropolitan Area

Cited by 6 publications

References 19 publications

Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China

Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China

The Economic Efficiency of Urban Land Use with a Sequential Slack-Based Model in Korea

Simulating Land Use Change in the Seoul Metropolitan Area after Greenbelt Elimination Using the SLEUTH Model

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