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来源类型Article
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Toward resilient humanitarian cooperation: examining the performance of horizontal cooperation among humanitarian organizations using an agent-based modeling (ABM) approach.
Mochizuki J; Toyasaki F; Falagara Sigala I
发表日期2015
出处Journal of Natural Disaster Science 36 (2): 35-52.
出版年2015
语种英语
摘要This article proposes a multi-agent simulation model to examine how different operational environments and incentive mechanisms affect the collective performance of complex humanitarian response systems. Using the UN Humanitarian Response Depot (UNHRD) system as an example, a stylized model of one service provider, two member organizations and multiple humanitarian crises is developed to illustrate the changing uses of four alternative relief goods sourcing options, namely: i) own storage for own items ii) UN storage for own items iii) stock-swaps and iv) white stock uses. Under the plausible assumption that the past success of sourcing options influences member organizations' future resource allocation, the model indicates that the additional buffer stock capacity offered by horizontal cooperation induces undesirable system dependency: while it gives member organizations more flexibility to meet highly stochastic demands under uncertainty, it also encourage them to store less of their own relief goods as a result. This tendency was particularly notable under a flexible budgeting regime, highlighting the further need to understand and evaluate the details of the decision-making heuristics of individual member organizations.
主题Risk, Policy and Vulnerability (RPV) ; Risk & ; Resilience (RISK)
关键词horizontal cooperation humanitarian organization agent-based modelling
URLhttp://pure.iiasa.ac.at/id/eprint/11297/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/130260
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GB/T 7714
Mochizuki J,Toyasaki F,Falagara Sigala I. Toward resilient humanitarian cooperation: examining the performance of horizontal cooperation among humanitarian organizations using an agent-based modeling (ABM) approach.. 2015.
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