• Title/Summary/Keyword: 유량-저량 시뮬레이션모델

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인과지도의 시뮬레이션 방법론:NUMBER

  • 김동환
    • Proceedings of the Korean System Dynamics Society
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    • 2000.02a
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    • pp.39-60
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    • 2000
  • 시스템 다이내믹스 모델링은 시스템의 인과 구조를 파악하기 위한 인과지도 분석과 인과 구조를 시뮬레이션하기 위한 저량/유량 모텔링으로 이분화 된다고 할 수 있다. 일반적으로 시스템 다이내믹스 모델링에서 인과지도는 저량/유량 모델링의 기반이 되어 왔다. 그러나 인과지도가 지나치게 추상화되어 있는 경우, 인과지도로부터 저량/유량 모델을 구축하는 것은 상당히 어려운 작업이었다. 특히 정책결정자의 주관을 표현한 인지지도를 저량/유량 모델로 전환하는 데에는 연구자의 주관이 첨가됨으로써 인지지도의 특성을 상실시킬 위험이 있었다. 본 논문에서는 인지지도 또는 추상적인 인과지도를 저량/유량 모델로 전환시키는 방법으로써 NUMBER(Normalized Unit Modelling By Elementary Relationships)에 관하여 논의하고자 한다. 본 논문에서 제안된 NUMBER 방법을 활용하여 김대중 대통령의 금융위기 극복 정책에 관한 인지지도를 저량/유량 모델로 전환하여 시뮬레이션 하여 봄으로써, 연구자의 주관을 최소화하면서 정책결정자의 인지지도나 추상적인 인과지도를 간편하게 저량/유량 모델로 전환시켜 그 동태적 행태를 분석할 수 있다는 점을 제안하고자 한다.

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Causal Loops and Stock-Flow Models of Project Delay Confronted with Location of Locally Unwanted Facilities (비선호시설 입지에 관한 프로젝트 지체의 인과구조와 유량-저량 묘형)

  • Lee, Man-Hyung;Choi, Nam-Hee
    • Korean System Dynamics Review
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    • v.7 no.1
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    • pp.91-118
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    • 2006
  • The purpose of this study is to find what factors are directly related to the delay of public projects, usually going beyond the planned deadline and budget. From a series of System Dynamics simulation works applied to the Cheongju Cremation Project, the research finds that the negative externalities originated from the adjacent location of the LULU(locally unwanted land use) facilities have exerted significant influence on dynamic perceptions of key stakeholders, typically resulting in project delay. As shown repeated experiments, the proposed negotiation-based models would produce relatively higher planning performance level than the typical approaches hinged on the administrative-expediency tactics. Even though the former may require more human and material resources in the very beginning stage, as they have to deal with diverse grievances raised by major stake-holders, most of them would bound for strengthening reinforcing loops within the complex structure. These results also imply that negotiation or consensus-building approaches would enhance mutual agreement among stake-holders, upgrading the overall quality of project management.

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Simulating Carbon Storage Dynamics of Trees on the Artificial Ground (시뮬레이션을 통한 인공지반 교목의 탄소저장량 변화)

  • You, Soo-Jin;Song, Ki-Hwan;Park, Samuel;Kim, Se-Young;Chon, Jin-Hyung
    • Journal of the Korean Institute of Landscape Architecture
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    • v.45 no.2
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    • pp.11-22
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    • 2017
  • To successfully create a low-carbon landscape in order to become a low-carbon city, it is necessary to understand the dynamics of artificial greening's resources on a multi-scale. Additionally, the effects of carbon storage should be quantitatively evaluated. The purpose of this study is to simulate and evaluate the changes in carbon storages of artificial ground trees using system dynamics throughout a long-term period. The process consisted of analyzing the dynamics of the multi-scale carbon cycle by using a casual loop diagram as well as simulating carbon storage changes in the green roof of the Gangnam-gu office building in 2008, 2018, 2028, and 2038. Results of the study are as follows. First, the causal loop diagram representing the relationship between the carbon storage of the artificial ground trees and the urban carbon cycle demonstrates that the carbon storage of the trees possess mutual cross-scale dynamics. Second, the main variables for the simulation model collected 'Biomass,' 'Carbon storage,' 'Dead organic matter,' and 'Carbon absorption,'and validated a high coefficient of determination, the value being ($R^2$=0.725, p<0.05). Third, as a result of the simulation model, we found that the variation in ranking of tree species was changing over time. This study also suggested the specific species of tree-such as Acer palmatum var. amoenum, Pinus densiflora, and Betula platyphylla-are used to improve the carbon storage in the green roof of the Gangnam-gu office building. This study can help contribute to developing quantitative and scientific criteria when designing, managing, and developing programs on low-carbon landscapes.