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Suggested Citation:"References and Bibliography." 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 86
Page 87
Suggested Citation:"References and Bibliography." 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 87

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86 References Alameda-Contra Costa Transit District (AC Transit). Big Data: Challenges, Opportunities, and Initiatives. Presented at APTAtech: Transportation Technology Conference, Columbus, OH, September 16, 2019. Al-Ruithe, M., E. Benkhelifa, and K. Haneed. A Systematic Literature Review of Data Governance and Cloud Data Governance. Personal and Ubiquitous Computing, Vol. 23, No. 1, 2018, pp. 1–36. https://www.researchgate.net/ publication/322259947 Atlanta Regional Commission. Data Governance Best Practices and Recommendations Report, May 24, 2019. https://cdn.atlantaregional.org/wp-content/uploads/data-governance-best-practices.pdf Berkow, M., A. El-Geneidy, R. Bertini, and D. Crout. Beyond Generating Transit Performance Measure. Transporta- tion Research Record: Journal of the Transportation Research Board, No. 2111, 2009, pp. 158–168. https://doi.org/ 10.3141%2F2111-18 Boldt, R. TCRP Synthesis 5: Management Information Systems. Transportation Research Board, Washington, D.C., 1994. Boyle, D. TCRP Synthesis 77: Passenger Counting Systems. Transportation Research Board, Washington, D.C., 2008. Center for Urban Transportation Research. Florida Department of Transportation. Transit Agency Data Maximi- zation. Final Report. 2019. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/transit/ documents/fdot-transit-agency-data-maximization-final-report.pdf?sfvrsn=6c831d55_2 Cevallos, F., and X. Wang. ADAMS Data Archiving and Mining System for Transit Service Improvements. Trans- portation Research Record: Journal of the Transportation Research Board, No. 2063, 2008, pp. 43–51. Danaher, A. et al. TCRP Research Report 215: Minutes Matter: A Bus Transit Service Reliability Guidebook. Transpor- tation Research Board, Washington, D.C., 2020. Dickens, M., and M. Hughes-Cromwick. Policy Brief. Leveraging Big Data in the Public Transportation Industry. APTA, Washington, D.C., February 2019. Drucker, P. The Practice of Management. Harper Business, October 2006 (originally published in 1954). Earley, S., M. Mosley, and M. H. Brackett. Data Management Body of Knowledge Version 2. DAMA, April 2009. Florida Department of Transportation. Reliable, Organized, and Accurate Data Sharing (ROADS) Framework. https://fdot.maps.arcgis.com/apps/MapSeries/index.html?appid=d827c163302347b4a3b7baee74571853 Furth, P. G., B. Hemily, T. H. J. Muller, and G. Strathman. TCRP Report 113: Using Archived AVL-APC Data to Improve Transit Performance and Management. Transportation Research Board, Washington, D.C., 2006. Gharaibeh, N., I. Oti, D. Schrank, and J. Zmud. NCHRP Synthesis 508: Data Management and Governance Practices. Transportation Research Board, Washington, D.C., 2017. https://doi.org/10.17226/24777 Green, M., and A. Lucivero. Data Governance & Data Management Case Study. U.S. Department of Transportation, July 2018. Heim, J. Service Provider, to Data Provider: Evolving Needs and Building for the Future. Presented at APTAtech 2019, Columbus, OH. Hemily, B. The Use of Transit ITS Data for Planning and Management, and Its Challenges: A Discussion Paper. Intelligent Transportation Society of America (ITS America), Washington, D.C., July 28, 2015. Hemily, B. Using Transit ITS for Data Analytics: A Report on Current Developments on the Use of ITS Data for Planning and Management, and Perspectives. APTAtech, September 2019. Iliopoulou, C., and K. Kepaptsoglou. Combining ITS and Optimization in Public Transportation Planning: State of the Art and Future Research Paths. European Transport Research Review, Vol. 11, 2019. https://www. researchgate.net/publication/333471832_Combining_ITS_and_optimization_in_public_transportation_ planning_state_of_the_art_and_future_research_paths Lawson, C. T., Muro, and E. Krans. Forecasting Bus Ridership Using a “Blended Approach”. Transportation, 2019. References and Bibliography

References and Bibliography 87 Lovelace, R. Integrating Geographic Analysis in Transport Planning, 2019. NASCIO. Data Governance—Managing Information as an Enterprise Asset: Part 1—An Introduction, April 2008. National Transit Database from 2018. https://www.transit.dot.gov/ntd Okunieff, P. TCRP Synthesis 125: Multiagency Electronic Fare Payment Systems. Transportation Research Board, Washington, D.C., 2017. https://doi.org/10.17226/24733 Okunieff, P., N. Neuerburg, E. Thomas, and S. Sharp. TCRP Report 84: Transit Enterprise Architecture and Planning Framework. Transportation Research Board, Washington, D.C., 2001. https://doi.org/10.17226/14561 Schweiger, C. TCRP Synthesis 115: Open Data: Challenges and Opportunities for Transit Agencies. Transportation Research Board, Washington, D.C., 2015. https://doi.org/10.17226/22195 Seiner, R. S. Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success. Technics Publication, Basking Ridge, NJ, 2014. Strathman, J. G., et al. TCRP Report 126: Leveraging ITS Data for Transit Market Research: A Practitioner’s Guidebook. Transportation Research Board, Washington, D.C., 2008. https://doi.org/10.17226/13917 Transmodel. EN12896. Public Transport Reference Data Model, 2018. U.S. Department of Transportation, Federal Transit Administration. Best Practices for Using Geographic Data in Transit: A Location Referencing Guidebook: Defining Geographic Locations of Bus Stops, Routes and Other Map Data for ITS, GIS and Operational Efficiencies. Washington, D.C., 2005. Vandervalk-Ostrander, A. Data Governance Issues for Transportation Agencies. TRB Workshop 1051, Data Workshop Presentation to WSDOT, January 12, 2020. Viggiano, C., G. Weisbrod, S. Jiang, E. Homstad, M. Chan, and S. Nural. TCRP Research Report 213: Data Sharing Guidance for Public Transit Agencies—Now and in the Future. Transportation Research Board, Washington, D.C., 2019. Bibliography Dahal, P. AC Transit Enterprise Database and Applications. CalTransit Conference, November 18, 2015. https:// caltransit.org/cta/assets/File/2015%20Fall%20Conference/Presentation%20Files/OPS-Intelligent%20 Transportation%20-%20Dahal.pdf Federal Data Strategy. Data Governance Playbook. https://resources.data.gov/assets/documents/fds-data- governance-playbook.pdf Mid-America Regional Council Pilot of the Data Business Plan for State and Local Departments of Transportation: Data Business Plan. https://ops.fhwa.dot.gov/publications/fhwahop18012/index.htm#toc Network Timetable Exchange. CEN Technical Standard for Exchanging Public Transport Network, CEN Technical Report 16614. Part 1: Public Transport Network Topology (CEN/TS 16614-1:2014); Part 2: Scheduled Timetables (CEN/TS 16614-2:2014); Part 3: Fare Information (CEN/TS 16614-3:2015). Transit Data Conference. https://transitdata2020.ca/program/ U.S. Department of Commerce, Bureau of the Census. December 5, 2019. https://catalog.data.gov/dataset/lehd- origin-destination-employment-statistics-lodes U.S. Department of Transportation, Federal Highway Administration. Data Governance Web Resources. https:// www.fhwa.dot.gov/datagov/

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 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data
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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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