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System dynamics modelling for improving urban resilience in Beijing, China

机译:改善中国北京城市复原力的系统动力学建模

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摘要

Resilience building has become increasingly important in the field of urban complexity and sustainable governance. For a better understanding of the adaptive capacity of an urban system, this paper integrated four types of sub-resilience across different domains into the comprehensive urban resilience. Then, a system dynamics (SD) model was established to clarify the causal feedback and dynamic interaction mechanism between the components of urban resilience. Taken the megacity of Beijing as the case, the improvement process of urban resilience was simulated by 2025, and four policy scenarios were set to improve the urban resilience effectively by adjusting endogenous variables. The results showed that the growth of urban resilience would undergo three periods: fast growth exceeded 10% in first two years, while slowed down afterwards in following five years, and finally increased again in the future. The sub-resilience that dominates the urban resilience growth changed from the material and energy resilience to the governance resilience, and then to the socioeconomic resilience. Scenarios analysis indicated that all subsystems were sensitive to the policy adjustment except for the socioeconomic component. The purpose of this paper is to build a comprehensive and informative resilience development tool for urban managers and planners to maintain the desired status of city operation, as well as respond positively to resilience crisis that might occur in the near future.
机译:在城市复杂性和可持续治理领域,恢复力建设越来越重要。为了更好地理解城市系统的自适应能力,本文综合了不同领域的四种类型的次弹性进入全面的城市恢复力。然后,建立了系统动态(SD)模型,以阐明城市弹性组件之间的因果反馈和动态交互机制。采取了北京的巨型性,以2025年的建模来模拟了城市弹性的改善过程,并设定了四种政策情景来通过调整内源性变量有效地改善城市恢复力。结果表明,城市弹性的增长将在三个时期进行:前两年的快速增长超过10%,同时在五年后速度放缓,未来终于再次增加。占据城市恢复力增长的次恢复力从治理恢复力的材料和能量恢复变化,然后转变为社会经济复原力。场景分析表明,除社会经济组件外,所有子系统对策略调整敏感。本文的目的是为城市管理人员和规划人员建立一个全面的和信息性的恢复力开发工具,以维持所需的城市运营状况,并积极应对可能在不久的将来发生的抵御能力危机。

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