Managing rail infrastructure for a digital future: Future-proofing of asset information
© 2018 Elsevier Ltd Rail infrastructure that operates at its optimum will be economical and sustainable and thus positively contribute to the productivity and competitiveness of an economy. The health of rail infrastructure, however, needs to be monitored, measured and maintained, which falls withi...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Pergamon Press
2018
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| Online Access: | http://purl.org/au-research/grants/arc/DP160102882 http://hdl.handle.net/20.500.11937/68000 |
| _version_ | 1848761715311771648 |
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| author | Love, Peter Zhou, Jingyang Matthews, Jane Lavender, M. Morse, T. |
| author_facet | Love, Peter Zhou, Jingyang Matthews, Jane Lavender, M. Morse, T. |
| author_sort | Love, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 Elsevier Ltd Rail infrastructure that operates at its optimum will be economical and sustainable and thus positively contribute to the productivity and competitiveness of an economy. The health of rail infrastructure, however, needs to be monitored, measured and maintained, which falls within the remit of asset managers who are often charged with balancing costs, opportunities and risks against the desired performance of the assets and their respective systems at varying levels. Having appropriate and reliable information about an asset is pivotal for enabling asset management to support decision-making, planning and execution of activities and tasks of assets, particularly during operations and maintenance. But, having access to the right information at the right time, has been and remains a pervasive problem, hinders an asset owner's ability to ensure their rail infrastructure performance is being optimized. A new approach to facilitate the acquisition and integration of information to support digital asset management (DAM) for rail infrastructure is presented. The research uses a case study to empirically assess the quality of ‘as-built’ documentation for electrical systems of Bayswater railway station that forms an integral part of the Forrestfield Airport Linkage project, in Perth Western Australia. Errors, omissions and information redundancy contained within the existing ‘as-built’ documentation is quantified. Then, a case for the adoption of a Systems Information Model is put forward as the rail industry moves toward a digital future and seeks to future-proof their assets and networks. |
| first_indexed | 2025-11-14T10:36:04Z |
| format | Journal Article |
| id | curtin-20.500.11937-68000 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:36:04Z |
| publishDate | 2018 |
| publisher | Pergamon Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-680002023-06-07T03:31:11Z Managing rail infrastructure for a digital future: Future-proofing of asset information Love, Peter Zhou, Jingyang Matthews, Jane Lavender, M. Morse, T. © 2018 Elsevier Ltd Rail infrastructure that operates at its optimum will be economical and sustainable and thus positively contribute to the productivity and competitiveness of an economy. The health of rail infrastructure, however, needs to be monitored, measured and maintained, which falls within the remit of asset managers who are often charged with balancing costs, opportunities and risks against the desired performance of the assets and their respective systems at varying levels. Having appropriate and reliable information about an asset is pivotal for enabling asset management to support decision-making, planning and execution of activities and tasks of assets, particularly during operations and maintenance. But, having access to the right information at the right time, has been and remains a pervasive problem, hinders an asset owner's ability to ensure their rail infrastructure performance is being optimized. A new approach to facilitate the acquisition and integration of information to support digital asset management (DAM) for rail infrastructure is presented. The research uses a case study to empirically assess the quality of ‘as-built’ documentation for electrical systems of Bayswater railway station that forms an integral part of the Forrestfield Airport Linkage project, in Perth Western Australia. Errors, omissions and information redundancy contained within the existing ‘as-built’ documentation is quantified. Then, a case for the adoption of a Systems Information Model is put forward as the rail industry moves toward a digital future and seeks to future-proof their assets and networks. 2018 Journal Article http://hdl.handle.net/20.500.11937/68000 10.1016/j.tra.2018.02.014 http://purl.org/au-research/grants/arc/DP160102882 Pergamon Press fulltext |
| spellingShingle | Love, Peter Zhou, Jingyang Matthews, Jane Lavender, M. Morse, T. Managing rail infrastructure for a digital future: Future-proofing of asset information |
| title | Managing rail infrastructure for a digital future: Future-proofing of asset information |
| title_full | Managing rail infrastructure for a digital future: Future-proofing of asset information |
| title_fullStr | Managing rail infrastructure for a digital future: Future-proofing of asset information |
| title_full_unstemmed | Managing rail infrastructure for a digital future: Future-proofing of asset information |
| title_short | Managing rail infrastructure for a digital future: Future-proofing of asset information |
| title_sort | managing rail infrastructure for a digital future: future-proofing of asset information |
| url | http://purl.org/au-research/grants/arc/DP160102882 http://hdl.handle.net/20.500.11937/68000 |