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2025 | OriginalPaper | Chapter

Transportation Asset Management is in Need of a Dependable Foundation

Authors : Scott Anderson, Mark Vessely, Madeline Hille, Michael Porter, Sterling Mitchell, Zac Sala

Published in: Proceedings of the 5th International Conference on Transportation Geotechnics (ICTG) 2024, Volume 3

Publisher: Springer Nature Singapore

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Abstract

As transportation owners move to manage assets in risk-informed ways, they are well served by a dependable foundation. What is meant here is not whether asset foundations are well built, but how reliably their future state can be predicted. Here we focus on ground movement, where most change is episodic and results from rare events, with the rarest events causing the most change, for example, through earthquakes, floods, and landslides. For other processes, change is more gradual and yet still occurs at a meaningful rate. Wide-area observations through aerial lidar and satellite InSAR are revealing this. A dependable Transportation Asset Management (TAM) foundation is a process where this is understood spatially and reflected in models of future performance related to safety, dependability, and cost. Another reason TAM needs a dependable foundation is so that observations made by others can be put into context. Not long ago, essentially all asset performance data and their changes were collected by the owner. Now, crowdsourcing of observations, consortiums of local owners for aerial lidar and national governments for InSAR, are ways in which observations on performance are being made by other people or interests. Owners can now find themselves being the last to know about changes to their assets rather than the first to know. In this sense, a dependable TAM foundation is a platform that provides opportunity to build from these observations, and not get turned around by them. International examples presented here demonstrate the value of a dependable TAM foundation.

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Literature
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2.
go back to reference Lato MJ, Anderson S, Porter MJ (2019) Reducing landslide risk using airborne Lidar scanning data. J Geotechn Geoenviron Eng 145(9):06019004CrossRef Lato MJ, Anderson S, Porter MJ (2019) Reducing landslide risk using airborne Lidar scanning data. J Geotechn Geoenviron Eng 145(9):06019004CrossRef
3.
go back to reference Porter M, Anderson S, Vessely M, Devonald M (2022) Reliability models for roads crossing slow-moving landslides. Proceedings of the 71st highway geology symposium, Asheville, NC, USA Porter M, Anderson S, Vessely M, Devonald M (2022) Reliability models for roads crossing slow-moving landslides. Proceedings of the 71st highway geology symposium, Asheville, NC, USA
Metadata
Title
Transportation Asset Management is in Need of a Dependable Foundation
Authors
Scott Anderson
Mark Vessely
Madeline Hille
Michael Porter
Sterling Mitchell
Zac Sala
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-8221-5_30