Strategic approaches to the management and operation of transportation systems blend knowledge of agency goals, asset conditions, traffic and safety performance, and finance and budget constraints. This knowledge is based on data, and many agencies are implementing consolidated data governance practices to improve data quality, maximize the value of the data to the agency, and better manage data collection and analysis resources.
NCHRP Research Report 1099: Business Intelligence Techniques for Transportation Agency Decision-Making, from TRB's National Cooperative Highway Research Program, presents a state-of-the-art guide cataloging new techniques to extract actionable information from traditional and new data sources to enhance decision-making processes.
Supplemental to the report are Business Intelligence Techniques for Transportation Agency Decision Making: Implementation Plan and Research Recommendations and a PowerPoint presentation that offers a briefing on the report.
National Academies of Sciences, Engineering, and Medicine. 2024. Business Intelligence Techniques for Transportation Agency Decision-Making. Washington, DC: The National Academies Press. https://doi.org/10.17226/27819.
Chapters | skim | |
---|---|---|
Front Matter | i-viii | |
Summary | 1-5 | |
Chapter 1 - Introduction | 6-9 | |
Chapter 2 - Business Intelligence Tools and Techniques | 10-30 | |
Chapter 3 - Data Catalog and Management | 31-64 | |
Chapter 4 - Leadership, Governance, and Change for Successful BI Use | 65-76 | |
Chapter 5 - From Paper-Based to Democratized BI: Adoption Maturity | 77-94 | |
Chapter 6 - Strategies for Introducing BI | 95-108 | |
Chapter 7 - Conclusion | 109-110 | |
Acronyms | 111-112 | |
References and Bibliography | 113-118 |
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