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Analysis of campus evacuation routin...

Wan, Zhenqi.

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Analysis of campus evacuation routing and planning to minimize transportation network clearing time.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Analysis of campus evacuation routing and planning to minimize transportation network clearing time./
Author:	Wan, Zhenqi.
Description:	137 p.
Notes:	Source: Masters Abstracts International, Volume: 49-01, page: 0620.
Contained By:	Masters Abstracts International49-01.
Subject:	Education, Higher Education Administration. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1479696
ISBN:	9781124154749

Analysis of campus evacuation routing and planning to minimize transportation network clearing time.
Wan, Zhenqi.

Analysis of campus evacuation routing and planning to minimize transportation network clearing time. - 137 p.

Source: Masters Abstracts International, Volume: 49-01, page: 0620.

Thesis (M.S.)--State University of New York at Binghamton, 2010.

This research addresses campus emergency evacuation routing and planning to minimize transportation Network Clearing Time (NCT ). In this research, discrete-event simulation modeling has been applied to the campus transportation network at Binghamton University (BU). Multiple parking lots, intersections and possible exits are considered in the campus transportation network. In the simulation models, Nearest Exit (NE), Dynamic Exit Allocation (DEA), and Continuous Traffic Coordination (CTC)) strategies are applied for optimal emergency evacuation routing. According to the BU emergency management plan, different emergency scenarios, such as forest fire, chemical spill, and campus shooting have been developed to validate the simulation models based on different routing strategies. The configuration of the campus transportation network has been modified based on different emergency scenarios, and optimal evacuation planning decisions are proposed by experimental results. The experimental results indicate that CTC performs better than NE and DEA in terms of NCT (38.5% less than NE and 7.1% less than DEA). The bottleneck congestion is also alleviated under CTC, with congestion end time 42% earlier than DEA and 58% earlier than NE. The proposed campus evacuation strategies have been validated by the campus emergency management office and considered as part of a university emergency response plan.

ISBN: 9781124154749Subjects--Topical Terms:

1669382
Education, Higher Education Administration.

Analysis of campus evacuation routing and planning to minimize transportation network clearing time.
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005 20111020092026.5
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020 $a 9781124154749
035 $a (UMI)AAI1479696
035 $a AAI1479696
040 $a UMI $c UMI
100 1 $a Wan, Zhenqi. $3 1680680
245 1 0 $a Analysis of campus evacuation routing and planning to minimize transportation network clearing time.
300 $a 137 p.
500 $a Source: Masters Abstracts International, Volume: 49-01, page: 0620.
500 $a Advisers: Mohammad T. Khasawneh; Sang Won Yoon.
502 $a Thesis (M.S.)--State University of New York at Binghamton, 2010.
520 $a This research addresses campus emergency evacuation routing and planning to minimize transportation Network Clearing Time (NCT ). In this research, discrete-event simulation modeling has been applied to the campus transportation network at Binghamton University (BU). Multiple parking lots, intersections and possible exits are considered in the campus transportation network. In the simulation models, Nearest Exit (NE), Dynamic Exit Allocation (DEA), and Continuous Traffic Coordination (CTC)) strategies are applied for optimal emergency evacuation routing. According to the BU emergency management plan, different emergency scenarios, such as forest fire, chemical spill, and campus shooting have been developed to validate the simulation models based on different routing strategies. The configuration of the campus transportation network has been modified based on different emergency scenarios, and optimal evacuation planning decisions are proposed by experimental results. The experimental results indicate that CTC performs better than NE and DEA in terms of NCT (38.5% less than NE and 7.1% less than DEA). The bottleneck congestion is also alleviated under CTC, with congestion end time 42% earlier than DEA and 58% earlier than NE. The proposed campus evacuation strategies have been validated by the campus emergency management office and considered as part of a university emergency response plan.
590 $a School code: 0792.
650 4 $a Education, Higher Education Administration. $3 1669382
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Transportation. $3 555912
650 4 $a Operations Research. $3 626629
690 $a 0446
690 $a 0546
690 $a 0709
690 $a 0796
710 2 $a State University of New York at Binghamton. $b Industrial Engineering. $3 1035516
773 0 $t Masters Abstracts International $g 49-01.
790 1 0 $a Khasawneh, Mohammad T., $e advisor
790 1 0 $a Yoon, Sang Won, $e advisor
790 1 0 $a Srihari, Krishnaswami $e committee member
790 1 0 $a Schwartz, John R. $e committee member
790 $a 0792
791 $a M.S.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1479696