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Suggested Citation:"Endnotes." National Academies of Sciences, Engineering, and Medicine. 2021. The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data. Washington, DC: The National Academies Press. doi: 10.17226/26138.
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Page 88

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88 1. According to the APTA Policy Brief, “[t]ransit agencies generate large amounts of data as part of their daily operations.” 2. From discussion with W. Tonis (AC Transit) and Beth Warvak (UTA), 2020. 3. From discussion with W. Tonis (AC Transit), 2020. 4. Conversations with E. Durham (WMATA), 2010, W. Tonis (AC Transit), and M. Crumley (TriMet), 2020. 5. Based on discussion with J. Levin (Metro Transit), 2020. 6. From J. Levin (Metro Transit), TIDES presentation, TRB 2019. 7. Software Engineering Institute Capability Maturity Model (SEICMM). 8. Digital Curation Centre, https://www.dcc.ac.uk/. 9. Data Governance Institute, http://www.datagovernance.com/. 10. Gartner on MDM Magic Quadrant, https://solutionsreview.com/data-management/whats-changed-2020 -gartner-magic-quadrant-for-master-data-management-solutions/. 11. Wikipedia, Master Data Management, https://en.wikipedia.org/wiki/Master_data_management, extracted 2020. 12. Wikipedia, Metadata Management, https://en.wikipedia.org/wiki/Metadata_management, extracted 2020. 13. From discussion with KCM staff in 2019. 14. As cited in conference summary from https://www.gartner.com/en/conferences/apac/data-analytics-india/ featured-topics/topic-data-analytics-governance, 2020. 15. Information for this section was derived from a discussion with J. Levin, Director of Strategic Initiatives (Metro Transit), 2020. 16. From discussion with J. Levin (Metro Transit), 2020. 17. From discussion and presentation provided by UTA, 2020. 18. From discussions with New York State DOT staff (J. Davis and E. Hanrahan), 2019–2020. 19. From discussions with ARC staff (M. Roell and J. Yawn), 2020. 20. Information presented in this section is based on discussions with Anson Stewart (Conveyal) on several occasions from February through May 2020. 21. Prototypes introduced earlier. See https://blog.conveyal.com/introducing-transport-analyst-7f0b3c595fb6. 22. Internal presentation for New York State DOT: Evaluating Access to Opportunities with Conveyal Analysis, 2020. 23. Typically derived from a communications device (e.g., cellular phone, Wi-Fi, or Bluetooth) tracked using navigation software (such as GPS). 24. Information extracted from Department of Commerce, U.S. Census Bureau. See https://catalog.data.gov/ dataset/lehd-origin-destination-employment-statistics-lodes, extracted: 2020; metadata update: 2019. 25. See use case discussion at https://blog.conveyal.com/access-in-seattle-fb5ef952c3ae, extracted 2020. Endnotes

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The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Get This Book
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Today, transit agencies gather and manage more data than ever. However, data processing, exploration, the development of performance metrics, and communicating decisions are often fragmented and scattered across many departments.

The TRB Transit Cooperative Research Program's TCRP Synthesis 153: The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data will assist transit agencies that want to develop and/or adopt a data-driven culture.

The survey results are provided in detail in Appendix B, which is a separate file.

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