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Inter-rater reliability in determining the types of vegetation on railway trackbeds
Högskolan Dalarna, Akademin Industri och samhälle, Informatik.ORCID-id: 0000-0003-4812-4988
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.
Edinburgh Napier University.
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.
2015 (Engelska)Ingår i: Web Information Systems Engineering – WISE 2015: 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II / [ed] Wang, J., Cellary, W., Wang, D., Wang, H., Chen, S.-C., Li, T., Zhang, Y., Springer, 2015, Vol. 9419, s. 379-390Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Vegetation growing on railway trackbeds and embankments can present several potential problems. Consequently, such vegetation iscontrolled through various maintenance procedures. In order to investigate the extent of maintenance needed, one of the first steps in anymaintenance procedure is to monitor or inspect the railway section in question. Monitoring is often carried out manually by sending out inspectorsor by watching recorded video clips of the section in question.To facilitate maintenance planning, the ability to assess the extent of vegetation becomes important. This paper investigates the reliability ofhuman assessments of vegetation on railway trackbeds.In this study, five maintenance engineers made independent visual estimates of vegetation cover and counted the number of plant clusters fromimages.The test results showed an inconsistency between the raters when it came to visually estimating plant cover and counting plant clusters. The resultsshowed that caution should be exercised when interpreting individual raters’ assessments of vegetation.

Ort, förlag, år, upplaga, sidor
Springer, 2015. Vol. 9419, s. 379-390
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9419
Nyckelord [en]
Measurements, Reliability, Monitoring, Railway, Vegetation, Maintenance, Human raters, Visual estimates
Nationell ämneskategori
Data- och informationsvetenskap Sannolikhetsteori och statistik
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
URN: urn:nbn:se:du-19801DOI: 10.1007/978-3-319-26187-4ISBN: 978-3-319-26187-4 (tryckt)ISBN: 978-3-319-26186-7 (tryckt)OAI: oai:DiVA.org:du-19801DiVA, id: diva2:862617
Konferens
Web Information Systems Engineering – WISE 2015, 16th International Conference, Miami, FL, USA, November 1-3, 2015
Tillgänglig från: 2015-10-23 Skapad: 2015-10-23 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

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Nyberg, Roger G.

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Nyberg, Roger G.Yella, SirilDougherty, Mark
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