Multi-Objective Land-Use Allocation Considering Landslide Risk under Climate Change: Case Study in Pyeongchang-gun, Korea

Yoon, Eun Jin; Lee, Dong Kun; Kim, Ho; Kim, Haeryung; Chung, Eun Jae; Yoon, Hye-Kyung

doi:10.3390/su9122306

Cited by 14 publications

(8 citation statements)

References 39 publications

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“…However, the rate of new urbanization in the area is appropriate to its size. On the one hand, new urbanization is necessary to support an area's population growth, social and economic capacity; to support household registration system reforms; to appropriately expand the size of towns; to improve the quality of urban infrastructure construction and public service systems; and to vigorously develop green industries, such as eco-friendly agriculture and tourism [53][54][55]. On the other hand, in the process of sustainable urban sprawl, it is important to protect the natural environment and enhance livability in order to make a town feel cohesive prospective residents.…”

Section: Slightly Coordinated Development With Lagging Ussmentioning

confidence: 99%

Urban Sprawl Sustainability of Mountainous Cities in the Context of Climate Change Adaptability Using a Coupled Coordination Model: A Case Study of Chongqing, China

Wang

Pan

2018

Sustainability

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In recent years, a noticeable contradiction has emerged between the disorderly sprawl and fragile climate environment of many cities, especially in mountainous cities. Therefore, this paper respectively constructed evaluation indicators for urban sprawl sustainability (USS) and climate change adaptability (CCA). Next, a coupling coordination degree model was used to measure the coordinated development of USS and CCA. Finally, this paper analyzed the coordinated development type of USS and CCA in the Chongqing metropolitan area from 2007 to 2017. The results of this paper show that USS and CCA have gradually shifted to coordinated development in the Chongqing metropolitan area during the study period. However, there were obvious regional differences in the type of coordinated development in the Chongqing metropolitan area. The coordinated development degree of USS and CCA in nine districts ranged from 0.635 to 0.721 in 2017. It can be divided into three types: slightly coordinated development with lagging CCA; slightly coordinated development with lagging USS; and moderately coordinated development with lagging CCA. Those districts should give priority to the use of Nature-Based Solutions (NBS), and multi-center and multi-group approaches to enhance the coordinated development between USS and CCA, which is also helpful for mountainous cities in China and other countries. decline of urban climate change adaptability. Therefore, ways to urban sprawl sustainability while adapting to climate change have become a key issue in urban sustainable development.Mountainous cities are cities that are distributed mainly in mountainous areas, hills and rugged plateaus, which have different urban morphologies and ecological environments than plains and plateau cities [10]. Constrained by their own unique geological, hydrological, land, ecological environments, and natural resources, mountain cities are characterized by high sensitivity, weak compressive capacity, and poor self-adaptability [10,11]. In specific times and spaces, compared with other types of cities, mountainous cities are more vulnerable to climate change. And as western mountainous cities are in a period of rapid urban sprawl-affecting urban populations, spaces, economies, and other aspects-the impacts of climate change are even more serious. Therefore, the coupling relationship of climate change adaptability and urban sprawl sustainability in mountainous cities has become an important aspect of current urban sustainable development research.Coupling is a concept derived from the physical relationship between two (or more) subjects [12]. For example, when two pendulums are connected to a spring, their vibrations fluctuate and interact with each other. This interaction is called pendulum coupling. From an ecosystem perspective, coupling refers to the interaction, mutual evolution, and subsequent development of two or more system elements (or subsystems) [12]. Similarly, the phenomenon of interaction and mutual evolution between urban sprawl and climate change syst...

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Section: Slightly Coordinated Development With Lagging Ussmentioning

confidence: 99%

Urban Sprawl Sustainability of Mountainous Cities in the Context of Climate Change Adaptability Using a Coupled Coordination Model: A Case Study of Chongqing, China

Wang

Pan

2018

Sustainability

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“…Some authors have developed relevant assessment and optimization tools. Numerous optimization algorithms have been applied to optimize land use allocation, including ant colony algorithms [ 24 ], genetic algorithms [ 25 ], nondominated sorting genetic algorithm-II [ 26 ], and artificial immune algorithms [ 27 ]. For example, CoMOLA (Constrained Multi-objective Optimization of Land use Allocation) is a landscape optimization tool that finds optimal options for multiple objectives [ 28 ], and SAORES (a spatially explicit assessment and optimization tool for regional ecosystem services) is designed to integrate assessment and optimization of ES for ecological restoration and management of the Chinese Loess Plateau [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Matching Ecosystem Services Supply and Demand through Land Use Optimization: A Study of the Guangdong-Hong Kong-Macao Megacity

Wang

et al. 2021

IJERPH

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Shortfalls and mismatches between the supply and demand of ecosystem services (ES) can be detrimental to human wellbeing. Studies focused on these problems have increased in recent decades, but few have applied land use optimization to reduce such spatial mismatches. This study developed a methodology to identify ES mismatches and then use these mismatches as objectives for land use optimization. The methodology was applied to the Guangdong-Hong Kong-Macao “Greater Bay Area” (GBA), a megacity of over 70 million people and one of the world’s largest urban agglomerations. Considering the demand for a healthy and secure living environment among city-dwellers, we focused on three ES: heat mitigation, flood mitigation, and recreational services. The results showed large spatial heterogeneity in supply and demand for these three ES. However, compared to current conditions in the GBA, our model showed that optimized land use allocation could better match the supply and demand for heat mitigation (number of beneficiaries increased by 15%), flood mitigation (amount of population exposed to flood damage decreased by 37%), and recreation (number of beneficiaries increased by 14%). By integrating land use allocation and spatial mismatch analysis, this methodology provides a feasible way to align ES supply and demand to advance urban and regional sustainability.

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“…Consequently, this scale is not considered in our study. • The second step aims to integrate the notion of potentially exposed areas (to various processes) to delineate specific zones and to characterize more accurately the potential consequences of EaRs involved (Zahran et al 2008;Jeffers 2013;Gallina 2015;Garcia-Aristizabal et al 2015;Muis et al 2015;Gallina et al 2016;Yoon et al 2017). The interest is also to propose consistent quantification EaRs to highlight hotspots through weighting systems and make them adaptable in different scenarios (Dilley et al 2005;Fuchs et al 2012;Armaş et al 2016;de Brito and Evers 2016;Zahran et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Analysis and quantification of potential consequences in multirisk coastal context at different spatial scales (Normandy, France)

et al. 2019

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Coastal environment with high interaction between nature and societies is subject to multihazard interaction such as landslides, flood or cliff retreat. These territories are characterized by numerous elements at risk located in valley bottoms, front sea or at the outlets of small dry watershed. The aim is to quantify the potential consequences of EaR by integrating multiple hazards exposure at various scale analyses. To quantify the element at risk, three steps have been required. First, an initial rank has been attributed to each class of element at risk at three different scales analysis. Second, the potential consequences are weighted according to environmental dimension. Third, the consequences are combined with a linear combination of criteria in GIS environment. At medium-scale analysis, element at risk highlighted is built-up areas, national road, railway, lifeline and urban centers. At large-scale analysis, consequences concern any kind of house, apartment and complex located on multiple exposure areas. At local scale, consequences concern buildings located on multiple exposure areas with one floor in mixed materials and built after 1980. Thus, this method proposes an approach with multiple scales analysis and by integrating multiple exposure areas to quantify potential consequences. With the environmental dimension in element at risk analysis, it is an intermediate step to traditional risk analysis and, more specifically multirisk analysis without considering in this case the spatial and temporal dimension of hazards.

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Multi-Objective Land-Use Allocation Considering Landslide Risk under Climate Change: Case Study in Pyeongchang-gun, Korea

Cited by 14 publications

References 39 publications

Urban Sprawl Sustainability of Mountainous Cities in the Context of Climate Change Adaptability Using a Coupled Coordination Model: A Case Study of Chongqing, China

Urban Sprawl Sustainability of Mountainous Cities in the Context of Climate Change Adaptability Using a Coupled Coordination Model: A Case Study of Chongqing, China

Matching Ecosystem Services Supply and Demand through Land Use Optimization: A Study of the Guangdong-Hong Kong-Macao Megacity

Analysis and quantification of potential consequences in multirisk coastal context at different spatial scales (Normandy, France)

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