2017
DOI: 10.3390/su9040524
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Policy Analysis to Reduce Climate Change-Induced Risks in Urban and Rural Areas in Korea

Abstract: Abstract:The purpose of this paper was to project changes in climate change-induced risks over time and to investigate policy alternatives to mitigate the risks from increases in sea level, heavy rains, and heat waves in urban and rural areas. System dynamics simulation was used to build a model and conduct policy analysis for a simulation period over the years 2000-2050. The model was built with a focus on the interaction among three factors: damage restoration costs from heavy rains, heat waves, and sea leve… Show more

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Cited by 6 publications
(7 citation statements)
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“…Often these models include agricultural water demand or use, crop yield and production, agriculture‐related income or profit, land use, agricultural energy demand or use, or livestock population dynamics . Notably, two studies include food consumption broadly, and another two include consumption disaggregated by types of food, allowing for the possibility of linking dietary patterns to climate change, undernutrition, and/or obesity in the latter. For example, Strapasson et al's model examines the dynamics of land use for bioenergy, crop cultivation, and livestock on a global scale and allows for testing of multiple scenarios (eg, modifying food calories consumed, crop yields, quantity and type of meat consumed, and animal density on pasture lands) for effect on global greenhouse gas emissions and temperature.…”
Section: Discussionmentioning
confidence: 99%
“…Often these models include agricultural water demand or use, crop yield and production, agriculture‐related income or profit, land use, agricultural energy demand or use, or livestock population dynamics . Notably, two studies include food consumption broadly, and another two include consumption disaggregated by types of food, allowing for the possibility of linking dietary patterns to climate change, undernutrition, and/or obesity in the latter. For example, Strapasson et al's model examines the dynamics of land use for bioenergy, crop cultivation, and livestock on a global scale and allows for testing of multiple scenarios (eg, modifying food calories consumed, crop yields, quantity and type of meat consumed, and animal density on pasture lands) for effect on global greenhouse gas emissions and temperature.…”
Section: Discussionmentioning
confidence: 99%
“…Making informed decisions for reducing water consumption, energy use and carbon emissions Cox et al, 2017 Providing complement to traditional land use and transportation models in the regional planning process Dasgupta et al, 2017 Delineation of guideline for policy orientation concerning e-waste towards protection of human health and environment Ercan et al, 2017 Projecting the impacts of U.S. transportation system Fang et al, 2017 Analysing the sustainable development capacity under different scenarios Faust et al, 2017 Enabling the assessment of interdependencies between human and water sector infrastructure systems with parameters tailored to a city's unique characteristics Fu et al, 2017 Simulating and predicting spatiotemporal city-level net carbon emissions Geng et al, 2017 Enabling an analysis of variations in land use intensity under different scenarios Ghasemi et al, 2017 Stimulating management strategies dealing with Tehran metropolitan water resources system Guzman and Orjuela, 2017 Evaluating the impacts of possible policy interventions on transport sector and transport related emissions and to assist the decision-making process He et al, 2017 Analysing new influencing factors and establishing the quantitative relationship based on econometrics for predicting the electricity demand of Tianjin Liu et al, 2017a Simulating land use development strategies by considering various socioeconomic and natural climatic factors for policy recommendation Liu et al, 2017b Simulating, forecasting and displaying geographical distributions and land use change Macmillan and Woodcock, 2017 Policy recommendation for different cities on cycling trajectory Moon et al, 2017 Projecting changes in climate change-induced risks and providing policy alternatives to mitigate the risks of climate change effects in urban and rural areas Procter et al, 2017 Enabling policy makers to make strategic choices about regional growth with utilization of light rail transit Sahin et al, 2017 Allowing water planners to explore policy alternatives and optimize bestpractice decisions considering water conservation and management Wan et al, 2017 Achieving coordinated development of social development and ecological environment Policy optimization for urban wetland water resources management Identification of different driving modes for urban growth management in different regions according to the functional positioning of their DPZ (continued) Faust et al, 2017;Xi and Poh, 2015). This was also combined with other topics, such as the environment, livelihood, security, and culture (Fernald et al, 2012;…”
Section: System Dynamics Modelsmentioning
confidence: 99%
“…A number of papers focussed on narrow environmental topics, such as national park management in relation to urban development (Antunes et al, 2006), global warming and climate change (Fong et al, 2009;Allington et al, 2017;He et al, 2015;Moon et al, 2017), the ecological footprint (Jin et al, 2009), fossil-fuel emissions (Pataki et al, 2009;Hiasa et al, 2016;Procter et al, 2017), safety and terrorism (Thompson and Bank, 2010;Yu and Fang, 2017), ecosystem modelling (Jiang and Chen, 2011;Tsolakis and Anthopoulos, 2015;Xu and Kang, 2016), the self-sufficient and sustainable cities city (Park et al, 2013;Li et al, 2016;Wan et al, 2017;Fang et al, 2017), electricity demand forecasting (He et al, 2017) and chronic diseases in the urban environment (Brittin et al, 2015;Brittin et al, 2015).…”
Section: System Dynamics Modelsmentioning
confidence: 99%
“…The first paper analyzes policy for reducing the climate change-induced risks in urban and rural areas in Korea [12]. The purpose of this paper is to project changes in climate change-induced risks over time and to investigate policy alternatives to mitigate the risks from increases in sea level, heavy rainfall events, and heat waves in urban and rural areas.…”
Section: The Special Issuementioning
confidence: 99%