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Chen, Albert Yo-Jen.

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Heavy equipment distribution framework for urban search and rescue operations and critical infrastructure systems restoration in disaster response.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Heavy equipment distribution framework for urban search and rescue operations and critical infrastructure systems restoration in disaster response./
Author:	Chen, Albert Yo-Jen.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2011,
Description:	160 p.
Notes:	Source: Dissertations Abstracts International, Volume: 73-08, Section: B.
Contained By:	Dissertations Abstracts International73-08B.
Subject:	Civil engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3496280
ISBN:	9781267155009

Heavy equipment distribution framework for urban search and rescue operations and critical infrastructure systems restoration in disaster response.
Chen, Albert Yo-Jen.

Heavy equipment distribution framework for urban search and rescue operations and critical infrastructure systems restoration in disaster response. - Ann Arbor : ProQuest Dissertations & Theses, 2011 - 160 p.

Source: Dissertations Abstracts International, Volume: 73-08, Section: B.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2011.

This item is not available from ProQuest Dissertations & Theses.

During disaster response, it is imperative to timely provide the rescuers with the adequate equipment to facilitate lifesaving operations and restoration of critical infrastructures. However, management of high demand equipment is usually inefficient during disaster response. Prioritization of limited resources is one of the greatest challenges in decision making for facilities management. Meanwhile, management of geographically distributed resources has been recognized as one of the most important but difficult tasks in large scale disasters. When disasters occur, resources outside of the disaster affected zone converge into the area to assist the response operations. This is known as the convergence phenomenon that often makes the already complex task of resource coordination even more challenging. Although there are difficulties on managing the converging volunteers and organizations, due to their ability to be deployed immediately without the appropriate skills and training, construction equipment and its operators are specialized professional entities that have great potential to be deployed immediately. The effectiveness of their deployment in the disaster response operations could be improved through decentralization of decision making. Through decentralization, the convergence of resources could potentially be mitigated and the coordination of heavy construction equipment could be more efficiently utilized for lifesaving operations. This doctoral dissertation investigates and implements Information Technology (IT) approaches to facilitate decision making for lifesaving operations. IT systems for resource inventory, disaster condition reporting, structural integrity assessment and resource requests strengthen situational awareness of response agencies. With the collected information, decision making for heavy equipment coordination is proposed. The challenges, implementation, and results are presented for a centralized truck scheduling and a decentralized truck coordination. The dissertation concludes with the contribution and future recommendations.

ISBN: 9781267155009Subjects--Topical Terms:

860360
Civil engineering.
Subjects--Index Terms:

Convergence

Heavy equipment distribution framework for urban search and rescue operations and critical infrastructure systems restoration in disaster response.
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100 1 $a Chen, Albert Yo-Jen. $3 3558640
245 1 0 $a Heavy equipment distribution framework for urban search and rescue operations and critical infrastructure systems restoration in disaster response.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2011
300 $a 160 p.
500 $a Source: Dissertations Abstracts International, Volume: 73-08, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Pena-Mora, Feniosky A.;Liu, Liang Y.
502 $a Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2011.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a During disaster response, it is imperative to timely provide the rescuers with the adequate equipment to facilitate lifesaving operations and restoration of critical infrastructures. However, management of high demand equipment is usually inefficient during disaster response. Prioritization of limited resources is one of the greatest challenges in decision making for facilities management. Meanwhile, management of geographically distributed resources has been recognized as one of the most important but difficult tasks in large scale disasters. When disasters occur, resources outside of the disaster affected zone converge into the area to assist the response operations. This is known as the convergence phenomenon that often makes the already complex task of resource coordination even more challenging. Although there are difficulties on managing the converging volunteers and organizations, due to their ability to be deployed immediately without the appropriate skills and training, construction equipment and its operators are specialized professional entities that have great potential to be deployed immediately. The effectiveness of their deployment in the disaster response operations could be improved through decentralization of decision making. Through decentralization, the convergence of resources could potentially be mitigated and the coordination of heavy construction equipment could be more efficiently utilized for lifesaving operations. This doctoral dissertation investigates and implements Information Technology (IT) approaches to facilitate decision making for lifesaving operations. IT systems for resource inventory, disaster condition reporting, structural integrity assessment and resource requests strengthen situational awareness of response agencies. With the collected information, decision making for heavy equipment coordination is proposed. The challenges, implementation, and results are presented for a centralized truck scheduling and a decentralized truck coordination. The dissertation concludes with the contribution and future recommendations.
590 $a School code: 0090.
650 4 $a Civil engineering. $3 860360
650 4 $a Systems science. $3 3168411
650 4 $a Operations research. $3 547123
653 $a Convergence
653 $a Decentralization
653 $a Disasters
653 $a Heavy equipment distribution
653 $a Transportation
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710 2 $a University of Illinois at Urbana-Champaign. $3 626646
773 0 $t Dissertations Abstracts International $g 73-08B.
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791 $a Ph.D.
792 $a 2011
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3496280