YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Infrastructure Systems
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Infrastructure Systems
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Rank Correlation Method for Evaluating Manual Pavement Distress Data Variability

    Source: Journal of Infrastructure Systems:;2010:;Volume ( 016 ):;issue: 001
    Author:
    Susan M. Bogus
    ,
    Jongchul Song
    ,
    Raymond Waggerman
    ,
    Lary R. Lenke
    DOI: 10.1061/(ASCE)1076-0342(2010)16:1(66)
    Publisher: American Society of Civil Engineers
    Abstract: Evaluations of surface distresses in pavements, such as cracking, bleeding, and raveling, are often used as one component of overall pavement condition indexes. Both manual and automated survey methods are available for pavement distress evaluation; however, all distress evaluations experience a certain level of variability in their results. How this level of variability is determined depends on the type of data collected during the pavement distress evaluations. When distress data are collected as ordinal values, the variability may be determined by comparison of pairs of ranked values. This paper presents one rank correlation method, Kendall’s correlation coefficient, and illustrates how it can be used to assess variability in ordinal distress data collected through manual surveys. Using Kendall’s correlation coefficient, variability between different raters and variability between multiple evaluations by one rater were determined for each individual distress type. As a result, the ratings for certain distresses such as bleeding were found to have a high level of variability. This information can be useful when used to develop training programs to reduce data variability.
    • Download: (235.8Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Rank Correlation Method for Evaluating Manual Pavement Distress Data Variability

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/48419
    Collections
    • Journal of Infrastructure Systems

    Show full item record

    contributor authorSusan M. Bogus
    contributor authorJongchul Song
    contributor authorRaymond Waggerman
    contributor authorLary R. Lenke
    date accessioned2017-05-08T21:21:39Z
    date available2017-05-08T21:21:39Z
    date copyrightMarch 2010
    date issued2010
    identifier other%28asce%291076-0342%282010%2916%3A1%2866%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/48419
    description abstractEvaluations of surface distresses in pavements, such as cracking, bleeding, and raveling, are often used as one component of overall pavement condition indexes. Both manual and automated survey methods are available for pavement distress evaluation; however, all distress evaluations experience a certain level of variability in their results. How this level of variability is determined depends on the type of data collected during the pavement distress evaluations. When distress data are collected as ordinal values, the variability may be determined by comparison of pairs of ranked values. This paper presents one rank correlation method, Kendall’s correlation coefficient, and illustrates how it can be used to assess variability in ordinal distress data collected through manual surveys. Using Kendall’s correlation coefficient, variability between different raters and variability between multiple evaluations by one rater were determined for each individual distress type. As a result, the ratings for certain distresses such as bleeding were found to have a high level of variability. This information can be useful when used to develop training programs to reduce data variability.
    publisherAmerican Society of Civil Engineers
    titleRank Correlation Method for Evaluating Manual Pavement Distress Data Variability
    typeJournal Paper
    journal volume16
    journal issue1
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)1076-0342(2010)16:1(66)
    treeJournal of Infrastructure Systems:;2010:;Volume ( 016 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian