Reliability of manual assessments in determining the types of vegetation on railway tracks
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. 9149, p. 391-399Conference paper, Published paper (Refereed)
Abstract [en]
Current day vegetation assessments within railway maintenance are (to a large extent) carried out manually. This study has investigated the reliability of such manual assessments by taking three non-domain experts into account. Thirty-five track images under different conditions were acquired for the purpose. For each image, the raters’ were asked to estimate the cover of woody plants, herbs and grass separately (in %) using methods such as aerial canopy cover, aerial foliar cover and sub-plot frequency. Visual estimates of raters’ were recorded and analysis-of-variance tests on the mean cover estimates were investigated to see whether if there were disagreements between the raters’. In tra-correl ation coefficient was used to study the differences between the estimates. Results achieved in this work revealed that seven out of the nine analysis-of-variance tests conducted in this study have demonstrated significant difference in the mean estimates of cover (p < 0.05).
Place, publisher, year, edition, pages
Springer, 2015. Vol. 9149, p. 391-399
Series
Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI, ISSN 0302-9743 ; 9419
Keywords [en]
Measurements, Reliability, Monitoring, Railway, Vegetation, Maintenance, Human raters, Visual estimates
National Category
Computer and Information Sciences Probability Theory and Statistics
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-20540DOI: 10.1007/978-3-319-26187-4_37Scopus ID: 2-s2.0-84949744257ISBN: 978-3-319-26187-4 (print)ISBN: 978-3-319-26186-7 (print)OAI: oai:DiVA.org:du-20540DiVA, id: diva2:889581
Conference
Web Information Systems Engineering – WISE 2015, 16th International Conference, Miami, FL, USA, November 1-3, 2015
2015-12-272015-12-272022-05-12Bibliographically approved