東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

How to Think About Resilient Infrast...

Eisenberg, Daniel A.

FindBook

Google Book

Amazon

博客來

How to Think About Resilient Infrastructure Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	How to Think About Resilient Infrastructure Systems./
作者:	Eisenberg, Daniel A.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	135 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Contained By:	Dissertation Abstracts International79-09B(E).
標題:	Systems science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10809231
ISBN:	9780355949629

How to Think About Resilient Infrastructure Systems.
Eisenberg, Daniel A.

How to Think About Resilient Infrastructure Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 135 p.

Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.

Thesis (Ph.D.)--Arizona State University, 2018.

Resilience is emerging as the preferred way to improve the protection of infrastructure systems beyond established risk management practices. Massive damages experienced during tragedies like Hurricane Katrina showed that risk analysis is incapable to prevent unforeseen infrastructure failures and shifted expert focus towards resilience to absorb and recover from adverse events. Recent, exponential growth in research is now producing consensus on how to think about infrastructure resilience centered on definitions and models from influential organizations like the US National Academy of Sciences. Despite widespread efforts, massive infrastructure failures in 2017 demonstrate that resilience is still not working, raising the question: Are the ways people think about resilience producing resilient infrastructure systems?

ISBN: 9780355949629Subjects--Topical Terms:

3168411
Systems science.

How to Think About Resilient Infrastructure Systems.
LDR:03488nmm a2200337 4500 001 2165898
005 20181129124502.5
008 190424s2018 ||||||||||||||||| ||eng d
020 $a 9780355949629
035 $a (MiAaPQ)AAI10809231
035 $a (MiAaPQ)asu:17837
035 $a AAI10809231
040 $a MiAaPQ $c MiAaPQ
100 1 $a Eisenberg, Daniel A. $3 3353993
245 1 0 $a How to Think About Resilient Infrastructure Systems.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 135 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 $a Advisers: Thomas P. Seager; Jeryang Park.
502 $a Thesis (Ph.D.)--Arizona State University, 2018.
520 $a Resilience is emerging as the preferred way to improve the protection of infrastructure systems beyond established risk management practices. Massive damages experienced during tragedies like Hurricane Katrina showed that risk analysis is incapable to prevent unforeseen infrastructure failures and shifted expert focus towards resilience to absorb and recover from adverse events. Recent, exponential growth in research is now producing consensus on how to think about infrastructure resilience centered on definitions and models from influential organizations like the US National Academy of Sciences. Despite widespread efforts, massive infrastructure failures in 2017 demonstrate that resilience is still not working, raising the question: Are the ways people think about resilience producing resilient infrastructure systems?
520 $a This dissertation argues that established thinking harbors misconceptions about infrastructure systems that diminish attempts to improve their resilience. Widespread efforts based on the current canon focus on improving data analytics, establishing resilience goals, reducing failure probabilities, and measuring cascading losses. Unfortunately, none of these pursuits change the resilience of an infrastructure system, because none of them result in knowledge about how data is used, goals are set, or failures occur. Through the examination of each misconception, this dissertation results in practical, new approaches for infrastructure systems to respond to unforeseen failures via sensing, adapting, and anticipating processes. Specifically, infrastructure resilience is improved by sensing when data analytics include the modeler-in-the-loop, adapting to stress contexts by switching between multiple resilience strategies, and anticipating crisis coordination activities prior to experiencing a failure.
520 $a Overall, results demonstrate that current resilience thinking needs to change because it does not differentiate resilience from risk. The majority of research thinks resilience is a property that a system has, like a noun, when resilience is really an action a system does, like a verb. Treating resilience as a noun only strengthens commitment to risk-based practices that do not protect infrastructure from unknown events. Instead, switching to thinking about resilience as a verb overcomes prevalent misconceptions about data, goals, systems, and failures, and may bring a necessary, radical change to the way infrastructure is protected in the future.
590 $a School code: 0010.
650 4 $a Systems science. $3 3168411
650 4 $a Sustainability. $3 1029978
650 4 $a Civil engineering. $3 860360
690 $a 0790
690 $a 0640
690 $a 0543
710 2 $a Arizona State University. $b Civil, Environmental and Sustainable Engineering. $3 3289089
773 0 $t Dissertation Abstracts International $g 79-09B(E).
790 $a 0010
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10809231