Proceedings of the 12th National Conference on Transportation Asset Management (2019) / Chapter Skim
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Pages 22-28
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22 Track 2: Data Systems to Improve Decisions Data Collection to Support TAM Decisions This session featured presentations describing data collection activities that were being used to support TAM decisions. The presentations represented different approaches to data collection from high-level data collection and analysis by transit agencies across the nation to state data collection efforts on nontraditional assets.
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23 from the Nevada DOT (an interval-based approach)
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24 FILLING THE TANK: HOW BETTER ASSET INFORMATION FUELS BETTER ASSET MANAGEMENT Simon Smith (AMCL) discussed the importance of data to asset management and suggested that agencies often find they do not have the information needed.
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25 information is valuable. The Texas A&M Transportation Institute is layering asset data and performance data in one location so that systematic problems can be realized and benefits can be communicated across multiple asset and performance categories.
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26 KEY TAKEAWAYS • Agencies can discover complex, systematic problems by analyzing multiple data sets at one location. This method improves transparency and consistency in decision-making.
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27 have enabled agencies to solve problems associated with data collection and reporting to improve decisions. SMART USE OF GIS DATA TO DETERMINE ASSET AGE Royce Greaves (WSP ∣ Opus Canada)
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28 enabled city maintenance crews to feel more invested in repairs, and the public has more confidence in the way sidewalk investments are being made. KEY TAKEAWAYS • Other agencies (e.g., utility companies)
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