國立虎尾科技大學 |

How to Think About Resilient Infrastructure Systems.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	How to Think About Resilient Infrastructure Systems./
Author:	Eisenberg, Daniel A.
Description:	1 online resource (135 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Contained By:	Dissertation Abstracts International79-09B(E).
Subject:	Systems science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355949629

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

How to Think About Resilient Infrastructure Systems. - 1 online resource (135 pages)

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

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

Includes bibliographical references

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?

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355949629Subjects--Topical Terms:

1148479
Systems science.
Index Terms--Genre/Form:

554714
Electronic books.

How to Think About Resilient Infrastructure Systems.
LDR:03771ntm a2200373Ki 4500 001 920415
005 20181129124502.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780355949629
035 $a (MiAaPQ)AAI10809231
035 $a (MiAaPQ)asu:17837
035 $a AAI10809231
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Eisenberg, Daniel A. $3 1195206
245 1 0 $a How to Think About Resilient Infrastructure Systems.
264 0 $c 2018
300 $a 1 online resource (135 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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.
504 $a Includes bibliographical references
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Systems science. $3 1148479
650 4 $a Sustainability. $3 793436
650 4 $a Civil engineering. $3 561339
655 7 $a Electronic books. $2 local $3 554714
690 $a 0790
690 $a 0640
690 $a 0543
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Arizona State University. $b Civil, Environmental and Sustainable Engineering. $3 1179779
773 0 $t Dissertation Abstracts International $g 79-09B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10809231 $z click for full text (PQDT)