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Inter-rater reliability in determining the types of vegetation on railway trackbeds
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-4812-4988
Dalarna University, School of Technology and Business Studies, Computer Engineering.
Edinburgh Napier University.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2015 (English)In: 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, 379-390 p.Conference paper, (Refereed)
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.

Place, publisher, year, edition, pages
Springer, 2015. Vol. 9419, 379-390 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9419
Keyword [en]
Measurements, Reliability, Monitoring, Railway, Vegetation, Maintenance, Human raters, Visual estimates
National Category
Computer and Information Science Probability Theory and Statistics
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-19801DOI: 10.1007/978-3-319-26187-4ISBN: 978-3-319-26187-4 (print)ISBN: 978-3-319-26186-7 (print)OAI: oai:DiVA.org:du-19801DiVA: diva2:862617
Conference
Web Information Systems Engineering – WISE 2015, 16th International Conference, Miami, FL, USA, November 1-3, 2015
Available from: 2015-10-23 Created: 2015-10-23 Last updated: 2017-03-30Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf