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

Developing Restoration Schemes for a...

Antony, Ebin.

FindBook

Google Book

Amazon

博客來

Developing Restoration Schemes for a Road Transportation Network in the Event of a Disaster.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Developing Restoration Schemes for a Road Transportation Network in the Event of a Disaster./
作者:	Antony, Ebin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 79-06.
Contained By:	Masters Abstracts International79-06.
標題:	Civil engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10286789
ISBN:	9780355254396

Developing Restoration Schemes for a Road Transportation Network in the Event of a Disaster.
Antony, Ebin.

Developing Restoration Schemes for a Road Transportation Network in the Event of a Disaster. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 57 p.

Source: Masters Abstracts International, Volume: 79-06.

Thesis (M.S.)--Missouri University of Science and Technology, 2017.

This item must not be sold to any third party vendors.

Transportation systems such as rail, road, and waterways are key component of critical infrastructure systems, providing connectivity between other components to enable the production and distribution of goods and services. During large scale disasters such as earth quakes and floods, this connectivity is disrupted, restricting or completely halting the flow of goods and services. To ensure that the connectivity between the different modes of transportation are restored in an aftermath of these disruptions, the interdependence between them and the importance of individual elements to the overall connectivity have to be studied and formulated to develop a system-level restoration plan. This paper presents a framework to develop efficient restoration schemes for a road transportation network in an aftermath of a disruption. The road transportation network is modelled using graph theory analytics. Using a system oriented parameter such as the Eigen-vector centrality measure associated with the road transportation, it is possible to understand the importance of different network components. This model captures the interdependence between the different elements in the road transportation network critical in understanding failure effects by identifying the important nodes in the network using the Eigen-vector centrality measure. The model is constructed from publically available data for Saint-Louis, Missouri. By performing a sensitivity analysis, we have found that the node with the highest Eigen-vector centrality measures are shown to provide a higher value within a ninety-five percent confidence level, indicating low sensitivity to changes in input parameters. This provides a measure to determine the most important nodes to place back into service to assist in restoring an urban center's supply chain in the wake of an extreme event.

ISBN: 9780355254396Subjects--Topical Terms:

860360
Civil engineering.

Developing Restoration Schemes for a Road Transportation Network in the Event of a Disaster.
LDR:02968nmm a2200337 4500 001 2207482
005 20190920131235.5
008 201008s2017 ||||||||||||||||| ||eng d
020 $a 9780355254396
035 $a (MiAaPQ)AAI10286789
035 $a (MiAaPQ)missouriscitech:11009
035 $a AAI10286789
040 $a MiAaPQ $c MiAaPQ
100 1 $a Antony, Ebin. $3 3434470
245 1 0 $a Developing Restoration Schemes for a Road Transportation Network in the Event of a Disaster.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 79-06.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Corns, Steven.
502 $a Thesis (M.S.)--Missouri University of Science and Technology, 2017.
506 $a This item must not be sold to any third party vendors.
520 $a Transportation systems such as rail, road, and waterways are key component of critical infrastructure systems, providing connectivity between other components to enable the production and distribution of goods and services. During large scale disasters such as earth quakes and floods, this connectivity is disrupted, restricting or completely halting the flow of goods and services. To ensure that the connectivity between the different modes of transportation are restored in an aftermath of these disruptions, the interdependence between them and the importance of individual elements to the overall connectivity have to be studied and formulated to develop a system-level restoration plan. This paper presents a framework to develop efficient restoration schemes for a road transportation network in an aftermath of a disruption. The road transportation network is modelled using graph theory analytics. Using a system oriented parameter such as the Eigen-vector centrality measure associated with the road transportation, it is possible to understand the importance of different network components. This model captures the interdependence between the different elements in the road transportation network critical in understanding failure effects by identifying the important nodes in the network using the Eigen-vector centrality measure. The model is constructed from publically available data for Saint-Louis, Missouri. By performing a sensitivity analysis, we have found that the node with the highest Eigen-vector centrality measures are shown to provide a higher value within a ninety-five percent confidence level, indicating low sensitivity to changes in input parameters. This provides a measure to determine the most important nodes to place back into service to assist in restoring an urban center's supply chain in the wake of an extreme event.
590 $a School code: 0587.
650 4 $a Civil engineering. $3 860360
650 4 $a Transportation. $3 555912
650 4 $a Systems science. $3 3168411
690 $a 0543
690 $a 0709
690 $a 0790
710 2 $a Missouri University of Science and Technology. $b Systems Engineering. $3 3192533
773 0 $t Masters Abstracts International $g 79-06.
790 $a 0587
791 $a M.S.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10286789