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

GIS-Based Risk Management Database I...

Nlenanya, Inya.

FindBook

Google Book

Amazon

博客來

GIS-Based Risk Management Database Integration and Implementation Framework for Transportation Agencies.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	GIS-Based Risk Management Database Integration and Implementation Framework for Transportation Agencies./
作者:	Nlenanya, Inya.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	105 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Contained By:	Dissertations Abstracts International81-02B.
標題:	Transportation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13812680
ISBN:	9781085579810

GIS-Based Risk Management Database Integration and Implementation Framework for Transportation Agencies.
Nlenanya, Inya.

GIS-Based Risk Management Database Integration and Implementation Framework for Transportation Agencies. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 105 p.

Source: Dissertations Abstracts International, Volume: 81-02, Section: B.

Thesis (Ph.D.)--Iowa State University, 2019.

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

Risk management analysis is one of the new requirements under MAP-21 and subsequently the FAST Act that separates transportation asset management programs (TAMP) from business as usual for the State departments of transportation (DOTs). Based on this requirement, each agency will discuss the concept of risk and how it should be incorporated into its transportation asset management program as well as how it informs maintenance practices, asset replacement or rehabilitation, and emergency management and response planning. This will require an agency to provide a list of risk exposures and document its system-wide risk management strategy.As a result, this research investigates the state of the practice of how agencies are developing their risk-based asset management plan and discusses recommendations for future research. The survey results show that state highway agencies are increasingly adapting the way they do business to include explicit considerations of risks. At the moment, this consideration of risk is not linked to data, and as a result most agencies do not have a data driven way of tracking risks and updating their risk exposures. Accordingly, this research proposed a data integration framework utilizing Geographic Information Systems (GIS) and Application Programming Interface (API) to implement a risk management database of all the relevant variables an agency needs for risk modeling to drive risk mitigation, risk monitoring, risk updates, and decision making. In addition, this study proposed modifications to the risk register workshop that leverages the collaborative aspects of risk management to quantify risk in monetary terms.This study leverages available data and analysis tools to help agencies visualize and articulate, in both qualitative and quantitative terms, how the combination of various risks and strategies would influence performance targets. The significance of the results highlights the need for further research on data driven risk management and to synthesize methodologies for integrating risk assessment into the agency's decision-making process.

ISBN: 9781085579810Subjects--Topical Terms:

555912
Transportation.

GIS-Based Risk Management Database Integration and Implementation Framework for Transportation Agencies.
LDR:03108nmm a2200301 4500 001 2264518
005 20200504070436.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781085579810
035 $a (MiAaPQ)AAI13812680
035 $a AAI13812680
040 $a MiAaPQ $c MiAaPQ
100 1 $a Nlenanya, Inya. $3 3541640
245 1 0 $a GIS-Based Risk Management Database Integration and Implementation Framework for Transportation Agencies.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 105 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
500 $a Advisor: Smadi, Omar.
502 $a Thesis (Ph.D.)--Iowa State University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Risk management analysis is one of the new requirements under MAP-21 and subsequently the FAST Act that separates transportation asset management programs (TAMP) from business as usual for the State departments of transportation (DOTs). Based on this requirement, each agency will discuss the concept of risk and how it should be incorporated into its transportation asset management program as well as how it informs maintenance practices, asset replacement or rehabilitation, and emergency management and response planning. This will require an agency to provide a list of risk exposures and document its system-wide risk management strategy.As a result, this research investigates the state of the practice of how agencies are developing their risk-based asset management plan and discusses recommendations for future research. The survey results show that state highway agencies are increasingly adapting the way they do business to include explicit considerations of risks. At the moment, this consideration of risk is not linked to data, and as a result most agencies do not have a data driven way of tracking risks and updating their risk exposures. Accordingly, this research proposed a data integration framework utilizing Geographic Information Systems (GIS) and Application Programming Interface (API) to implement a risk management database of all the relevant variables an agency needs for risk modeling to drive risk mitigation, risk monitoring, risk updates, and decision making. In addition, this study proposed modifications to the risk register workshop that leverages the collaborative aspects of risk management to quantify risk in monetary terms.This study leverages available data and analysis tools to help agencies visualize and articulate, in both qualitative and quantitative terms, how the combination of various risks and strategies would influence performance targets. The significance of the results highlights the need for further research on data driven risk management and to synthesize methodologies for integrating risk assessment into the agency's decision-making process.
590 $a School code: 0097.
650 4 $a Transportation. $3 555912
650 4 $a Remote sensing. $3 535394
690 $a 0709
690 $a 0799
710 2 $a Iowa State University. $b Civil, Construction, and Environmental Engineering. $3 1022221
773 0 $t Dissertations Abstracts International $g 81-02B.
790 $a 0097
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13812680