| 来源类型 | Book Section |
| DOI | 10.1007/978-3-319-39812-9_12 |
| Computational framework of resilience. | |
| Schwind N; Minami K; Maruyama H; Ilmola-Sheppard L; Inoue K | |
| 发表日期 | 2016 |
| 出处 | Urban Resilience. A Transformative Approach. pp. 239-257 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-39812-9 DOI: 10.1007/978-3-319-39812-9_12 . |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Many researchers have been studying the resilience in urban cities. However, due to the complexity of the system involving human activities, it is difficult to define the resilience of an urban area quantitatively. We introduce an abstract model that represents an urban system through a set of variables and a utility function (or dually, a cost function) evaluating the “quality” of the states of the variables. This cost function depends on the criterion of interest for evaluating the resilience of the system, and can be easily defined in a succinct way. Then, our contribution is mainly twofold. First, we propose several performance metrics that evaluate how resilient a given system has been in some specific scenario, that is, in the past. Second, assuming we are given some knowledge about the dynamics of the system, we model its possible evolutions by embedding it into a discrete state transition machine, and show how we can adapt the performance metrics to this framework to predict the resilience of the system in the future. Such an adaptation of a performance metric to our dynamic model is called here a performance-based competency metric. This new kind of metric is useful to validate existing competency metrics (Ilmola in Competency metric of economic resilience. Urban resilience: a transformative approach. Springer, 2016) by aligning these competency metrics with our performance-based ones. |
| 主题 | Advanced Systems Analysis (ASA) |
| URL | http://pure.iiasa.ac.at/id/eprint/13852/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/134511 |
| 推荐引用方式 GB/T 7714 | Schwind N,Minami K,Maruyama H,et al. Computational framework of resilience.. 2016. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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