東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Performance measurement for highway ...

The University of Iowa., Civil & Environmental Engineering.

Linked to FindBook

Google Book

Amazon

博客來

Performance measurement for highway winter maintenance operations.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Performance measurement for highway winter maintenance operations./
Author:	Qiu, Lin.
Description:	162 p.
Notes:	Adviser: Wilfrid A. Nixon.
Contained By:	Dissertation Abstracts International69-05B.
Subject:	Engineering, Civil. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3310536
ISBN:	9780549582014

Performance measurement for highway winter maintenance operations.
Qiu, Lin.

Performance measurement for highway winter maintenance operations. - 162 p.

Adviser: Wilfrid A. Nixon.

Thesis (Ph.D.)--The University of Iowa, 2008.

The relative magnitudes of the effects of different maintenance methods on mobility and safety that is estimated by the models will enable agencies to assign priorities, and to compare maintenance outcomes based on the input resources.

ISBN: 9780549582014Subjects--Topical Terms:

783781
Engineering, Civil.

Performance measurement for highway winter maintenance operations.
LDR:03634nmm 2200385 a 45 001 891286
005 20101111
008 101111s2008 ||||||||||||||||| ||eng d
020 $a 9780549582014
035 $a (UMI)AAI3310536
035 $a AAI3310536
040 $a UMI $c UMI
100 1 $a Qiu, Lin. $3 1065280
245 1 0 $a Performance measurement for highway winter maintenance operations.
300 $a 162 p.
500 $a Adviser: Wilfrid A. Nixon.
500 $a Source: Dissertation Abstracts International, Volume: 69-05, Section: B, page: 3163.
502 $a Thesis (Ph.D.)--The University of Iowa, 2008.
520 $a The relative magnitudes of the effects of different maintenance methods on mobility and safety that is estimated by the models will enable agencies to assign priorities, and to compare maintenance outcomes based on the input resources.
520 $a Many highway maintenance agencies are facing an increased pressure to utilize their limited resources while still achieving the optimum winter highway maintenance outcome. Also there is a tendency to privatize maintenance operation, in order to improve the road user's satisfaction by bringing more competition to winter maintenance operations. Given this context the purpose of this research is to develop an effective performance measurement system that can evaluate how well agencies have conducted winter maintenance activities to meet the road user's expectations of safety and mobility.
520 $a Though there have been performance measurement studies conducted in the winter maintenance area, few of them are comprehensive enough to evaluate winter maintenance outcomes, while at the same time taking storm severity, road system characteristics, and maintenance effort together into consideration. To address this deficiency, several particular challenges must be considered: first, how to evaluate the storm severity for individual storms; second, how to evaluate maintenance outcomes using a series of quantitative measures; and third, what are the appropriate targets that maintenance outcomes can be compared with, considering outcomes are sensitive to maintenance input, weather severity, road classifications, and traffic specifications. To address these questions: A storm severity index is developed; studies on effects of weather were quantitatively synthesized by meta-analysis; effects of weather and maintenance on road surface conditions are estimated by MLR; SEM (Structural Equation Modeling) is applied to estimate the direct and indirect effects of maintenance on mobility and Multiple Classification Analysis (MCA) was applied to estimate the contribution of winter maintenance to safety.
520 $a The final result of this research is an applicable winter maintenance performance measurement system. It informs maintenance agencies where they excel at and where improvements are needed for the specified goals. Further, the developed road surface condition prediction model can be used as a predictive tool to allow agencies to conduct "what if" experiments that will lead to optimization of maintenance practice over time.
590 $a School code: 0096.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Sociology, Theory and Methods. $3 626625
650 4 $a Transportation. $3 555912
690 $a 0344
690 $a 0543
690 $a 0546
690 $a 0709
710 2 $a The University of Iowa. $b Civil & Environmental Engineering. $3 1029880
773 0 $t Dissertation Abstracts International $g 69-05B.
790 $a 0096
790 1 0 $a Boyle, Linda N. $e committee member
790 1 0 $a Forkenbrock, David J. $e committee member
790 1 0 $a Hanley, Paul F. $e committee member
790 1 0 $a Nixon, Wilfrid A., $e advisor
790 1 0 $a Stoner, James W. $e committee member
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3310536