亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Toward a Comparative Framework for Measuring Resilience in Critical Infrastructure Systems

弹性(材料科学) 关键基础设施 过程(计算) 集合(抽象数据类型) 多样性(控制论) 比例(比率) 风险分析(工程) 计算机科学 环境资源管理 业务 管理科学 过程管理 地理 计算机安全 工程类 经济 物理 地图学 人工智能 热力学 程序设计语言 操作系统
作者
Emery Roe,Paul R. Schulman
出处
期刊:Journal of Comparative Policy Analysis: Research and Practice [Routledge]
卷期号:14 (2): 114-125 被引量:19
标识
DOI:10.1080/13876988.2012.664687
摘要

Abstract A major problem in building community resilience in the face of disasters is understanding resilience as an organizational property. A fundamental problem in this understanding is the imbalance in disaster research between the large number of variables and the relatively few cases involved. While resilience is a complex process with many variables at work in determining outcomes, disasters afford far fewer cases with which to compare and understand the multitude of these variables. This is especially true when disasters have a great deal of variety and seldom occur in the same places over the same set of community and organizational variables. Under these conditions it continues to be difficult to isolate causal, much less predictive, factors in resilience. This research has found that far more events challenge resilience in communities and organizations than might be assumed, were one looking only at disasters. In fact organizations can signal their readiness for resilience through measurable responses to far smaller-scale performance challenges. This paper presents a strategy for developing resilience indicators in critical infrastructures that would allow comparative assessment of risks to resilience across infrastructures in different sectors and communities. The strategy is illustrated in resilience indicators developed within one infrastructure, a large and complex high-voltage electrical grid. This strategy is extended and its potential analytic application to additional infrastructures and to the assessment of compound inter-infrastructure reliability is discussed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
罗舒发布了新的文献求助10
刚刚
陈陈陈完成签到,获得积分10
7秒前
8秒前
qinli完成签到,获得积分10
15秒前
SciGPT应助li采纳,获得10
15秒前
19秒前
21秒前
故意的茗发布了新的文献求助10
24秒前
24秒前
li发布了新的文献求助10
29秒前
田様应助故意的茗采纳,获得10
30秒前
StonesKing完成签到,获得积分10
35秒前
yzt完成签到 ,获得积分10
50秒前
56秒前
深情安青应助科研通管家采纳,获得10
1分钟前
1分钟前
hkxfg发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
Maple发布了新的文献求助10
1分钟前
roy完成签到,获得积分10
1分钟前
bkagyin应助hkxfg采纳,获得10
1分钟前
1分钟前
02发布了新的文献求助10
2分钟前
运运完成签到 ,获得积分10
2分钟前
Maple发布了新的文献求助10
2分钟前
wzzznh完成签到 ,获得积分10
2分钟前
Maple完成签到,获得积分10
2分钟前
端庄亦巧完成签到 ,获得积分10
2分钟前
科研通AI5应助jacs111采纳,获得10
2分钟前
CodeCraft应助罗舒采纳,获得10
2分钟前
2分钟前
2分钟前
jacs111发布了新的文献求助10
2分钟前
Zjc0913完成签到 ,获得积分10
2分钟前
libob完成签到,获得积分10
2分钟前
Aaaaa发布了新的文献求助10
2分钟前
jacs111完成签到,获得积分10
2分钟前
xmqaq完成签到,获得积分10
2分钟前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3965642
求助须知:如何正确求助?哪些是违规求助? 3510896
关于积分的说明 11155529
捐赠科研通 3245353
什么是DOI,文献DOI怎么找? 1792856
邀请新用户注册赠送积分活动 874161
科研通“疑难数据库(出版商)”最低求助积分说明 804214