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首页> 外文会议>System Dynamics Society International Conference; System Dynamics Society Anniversary Celebration; 20070729-0802; 20070729-0802; Boston,MA(US); Boston,MA(US) >Exploring U.S. Flood Mitigation Policies: A Feedback View of System Behavior
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Exploring U.S. Flood Mitigation Policies: A Feedback View of System Behavior

机译：探索美国的洪水缓解策略：系统行为的反馈视图

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摘要

Despite the availability of policy tools to mitigate property damage, relief costs for disasters continue to rise. This paper presents a framework for analyzing flood mitigation policies and policy design challenges in the United States. The system dynamics model prepared for this research was developed from qualitative data collected from over 300 sources, including the extant literature on natural disasters, statements made by disaster experts, government documents, policy analyses, and federal disaster mitigation policies. The generic structure developed for this research, the flood-1 model, explains the dynamics of major pressures in any flood-prone community. Eleven policies were analyzed against three scenarios to show the benefits and burdens of several types of mitigation policies. The policies selected in this analysis reflect the incentives established in the federal government's Community Rating System (CRS). In this paper, I show how the system dynamics model was used as a theoretical framework and policy analysis tool to explain the policy design challenges in every flood-prone community.
机译：尽管有减轻财产损失的政策工具，但灾难的救助成本仍在上升。本文提出了一个框架，用于分析美国的防洪政策和政策设计挑战。为这项研究准备的系统动力学模型是根据从300多个来源收集的定性数据开发而成的，这些数据包括有关自然灾害的现有文献，灾害专家的声明，政府文件，政策分析和联邦减灾政策。为该研究开发的通用结构Flood-1模型解释了任何容易发生洪水的社区中主要压力的动态。针对三种情况分析了11项政策，以显示几种缓解政策的收益和负担。本分析中选择的政策反映了联邦政府社区评级系统（CRS）中建立的激励措施。在本文中，我展示了如何将系统动力学模型用作理论框架和策略分析工具，以解释每个易发洪水社区的策略设计挑战。

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