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106 Big Data. (2019). Retrieved from Dictionary.com: https://www.dictionary.com/browse/big-data. Burt, M., Cuddy, M., and Razo, M. (2014). Big Dataâs Implications for Transportation Operations: An Exploration. U.S. Department of Transportation, Washington, D.C. Retrieved January 2019 from https://rosap.ntl.bts. gov/view/dot/3542. Cavanillas, J. M., Curry, E., and Wahlster, W. (2016). New Horizons for a DataÂDriven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe. Springer. Chitkara, A., Deloison, T., Kelkar, M., Pandey, P., and Pankratz, D. (2020). Enabling DataÂSharing: Emerging Principles for Transforming Urban Mobility. World Business Council for Sustainable Development. Retrieved March 2020 from https://docs.wbcsd.org/2020/01/WBCSD_Enabling_data_sharing_Emerging_principles_ for_transforming_urban_mobility.pdf. Dam, R. F. (2019). The Pareto Principle and How to Be More Effective. Retrieved March 24, 2020, from Inter- action Design Foundation: https://www.interaction-design.org/literature/article/the-pareto-principle-and- how-to-be-more-effective. DAMA International. (2011). The DAMA Dictionary of Data Management, 2nd Edition: Over 2,000 Terms Defined for IT and Business Professionals. Bradley Beach, NJ: Technics Publications, LLC. DAMA International. (2017, March 6). DAMA Data Management Body of Knowledge Framework 2nd Edition (DAMAÂDMBOK2). Basking Ridge, NJ: Technics Publications. Retrieved from DAMA International: https://dama.org/sites/default/files/download/DAMA-DMBOK2-Framework-V2-20140317-FINAL.pdf. de Ternay, G. (2018, December 30). Convince Your Boss: 11 Tips to Make Them Say âYes!â. Retrieved November 2019 from Guerric: https://guerric.co.uk/convince-your-boss/. Ellingwood, J. (2016, September 28). An Introduction to Big Data Concepts and Terminology. Retrieved November 2019 from DigitalOcean: https://www.digitalocean.com/community/tutorials/an-introduction-to-big-data- concepts-and-terminology. Gandomi, A., and Haider, M. (2015, April). Beyond the Hype: Big Data Concepts, Methods, and Analytics. Inter national Journal of Information Management, 35(2), 137â144. Retrieved from https://www.sciencedirect.com/ science/article/pii/S0268401214001066. Gettman, D., Toppen, A., Hales, K., Voss, A., Engel, S., and El Azhari, D. (2017). Integrating Emerging Data Sources into Operational PracticeâOpportunities for Integration of Emerging Data for Traffic Management and TMCs. U.S. Department of Transportation, Washington, D.C. Hand, A. Z. (2016, August). Urban Mobility in a Digital Age: A Transportation Technology Strategy for Los Angeles. Los Angeles Department of Transportation, CA. https://static1.squarespace.com/static/ 57c864609f74567457be9b71/t/57c9059b9de4bb1598eeee49/1472793280502/Transportation+Technology+ Strategy_2016.pdf. Kim, H. Y., and Cho, J.-S. (2018). Data Governance Framework for Big Data Implementation with NPS Case Analysis in Korea. Journal of Business and Retail Management Research. Retrieved April 2020 from https://jbrmr.com/cdn/article_file/content_24232_18-04-20-02-28-48.pdf. Lexico Powered by Oxford. (2019). Retrieved November 2019 from Lexico Powered by Oxford: https:// www.lexico.com/en/definition/big_data. Llewellyn, R. (2015, September 15). 20 Ways to Create a Sense of Urgency. Retrieved November 2019 from The Enterprisers Project: https://enterprisersproject.com/article/2014/8/20-ways-create-sense-urgency? page=1. Marr, B. (2017, January 23). Really Big Data At Walmart: RealÂTime Insights From Their 40+ Petabyte Data Cloud. Retrieved November 2019 from Forbes: https://www.forbes.com/sites/bernardmarr/2017/01/23/ really-big-data-at-walmart-real-time-insights-from-their-40-petabyte-data-cloud/#1b22eb76c105. Works Cited
Works Cited 107 Mukherjee, S., and Shaw, R. (2016). Big Data-Concepts, Applications, Challenges, and Future Scope. Inter national Journal of Advanced Research in Computer and Communication Engineering, 66â74. OECD/ITF. (2015). Big Data and Transport Understanding and Assessing Options. Paris: OECD Publishing. Retrieved January 2019, from https://www.itf-oecd.org/sites/default/files/docs/15cpb_bigdata_0.pdf. Pecheux, B., Shah, V., and Miller, S. (2019). NCHRP Research Report 865: Guidance for Development and Manage ment of Sustainable Enterprise Information Portals. Transportation Research Board, Washington, D.C. Pecheux, K., Pecheux, B., and Carrick, G. (2019). NCHRP Research Report 904: Leveraging Big Data to Improve Traffic Incident Management. Transportation Research Board, Washington, D.C. Portland Urban Data Lake (PUDL). (n.d.). Retrieved November 2019 from Portland Bureau of Transportation: https://www.portlandoregon.gov/transportation/article/681572. Press, G. (2014, September 3). 10 Big Data Definitions: Whatâs Yours? Retrieved November 2019 from Forbes: https://www.forbes.com/sites/gilpress/2014/09/03/12-big-data-definitions-whats-yours/#63db4d4413ae. Roe, C. (2017, December 18). What is Data Governance? Retrieved from Dataversity: http://www.dataversity.net/ what-is-data-governance/. Rouse, M. (2013, October). Big Data Management. Retrieved from Search Data Management: https:// searchdatamanagement.techtarget.com/definition/big-data-management. Soares, S. (2018, August 15). Big Data Governance: A Framework to Assess Maturity. Retrieved from IBM Corpora- tion: https://www.ibmbigdatahub.com/blog/big-data-governance-framework-assess-maturity. Swaney, R. (2019, August 22). Evolution of Data Management: The Role of Streaming Data and IoT Data Architecture. Retrieved from Cloudera: https://blog.cloudera.com/evolution-of-data-management-the- role-of-streaming-data-and-iot-data-architecture/. Taylor, C. (2017, June 8). Big Data Architecture. Retrieved January 22, 2019, from Datamation: https:// www.datamation.com/big-data/big-data-architecture.html. Turner, P. (2019, February 18). A Data Scientific Method. Retrieved November 2019 from Towards Data Science: https://towardsdatascience.com/a-data-scientific-method-80caa190dbd4. Veracity: The Most Important âVâ of Big Data. (2019, August 29). Retrieved November 2019 from Gut Check: https://www.gutcheckit.com/blog/veracity-big-data-v/. Wells, D. (2017, January 17). The Next Generation of Data Governance. Retrieved January 22, 2019, from Eckerson Group: https://www.eckerson.com/articles/the-next-generation-of-data-governance. Wells, D. (2019, August 14). The Path to Modern Data Governance. Retrieved from Eckerson Group: https:// www.eckerson.com/articles/modern-data-governance-problems. What is Big Data. (2019). Retrieved November 2019 from SAS: https://www.sas.com/en_us/insights/big-data/ what-is-big-data.html. Yang, C., Huang, Q., Li, Z., Liu, K., and Hu, F. (2017). Big Data and Cloud Computing: Innovation Oppor- tunities and Challenges. International Journal of Digital Earth, 13â53. Note: Additional references reviewed and cited as part of the research can be found in an associated online-only document, NCHRP WebÂOnly Document 282: Framework for Managing Data from Emerging Transportation Technologies to Support DecisionÂMaking. The resources within this document may be of interest to the reader.
Abbreviations and acronyms used without definitions in TRB publications: A4A Airlines for America AAAE American Association of Airport Executives AASHO American Association of State Highway Officials AASHTO American Association of State Highway and Transportation Officials ACIâNA Airports Council InternationalâNorth America ACRP Airport Cooperative Research Program ADA Americans with Disabilities Act APTA American Public Transportation Association ASCE American Society of Civil Engineers ASME American Society of Mechanical Engineers ASTM American Society for Testing and Materials ATA American Trucking Associations CTAA Community Transportation Association of America CTBSSP Commercial Truck and Bus Safety Synthesis Program DHS Department of Homeland Security DOE Department of Energy EPA Environmental Protection Agency FAA Federal Aviation Administration FAST Fixing Americaâs Surface Transportation Act (2015) FHWA Federal Highway Administration FMCSA Federal Motor Carrier Safety Administration FRA Federal Railroad Administration FTA Federal Transit Administration HMCRP Hazardous Materials Cooperative Research Program IEEE Institute of Electrical and Electronics Engineers ISTEA Intermodal Surface Transportation Efficiency Act of 1991 ITE Institute of Transportation Engineers MAP-21 Moving Ahead for Progress in the 21st Century Act (2012) NASA National Aeronautics and Space Administration NASAO National Association of State Aviation Officials NCFRP National Cooperative Freight Research Program NCHRP National Cooperative Highway Research Program NHTSA National Highway Traffic Safety Administration NTSB National Transportation Safety Board PHMSA Pipeline and Hazardous Materials Safety Administration RITA Research and Innovative Technology Administration SAE Society of Automotive Engineers SAFETEA-LU Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (2005) TCRP Transit Cooperative Research Program TDC Transit Development Corporation TEA-21 Transportation Equity Act for the 21st Century (1998) TRB Transportation Research Board TSA Transportation Security Administration U.S. DOT United States Department of Transportation
TRA N SPO RTATIO N RESEA RCH BO A RD 500 Fifth Street, N W W ashington, D C 20001 A D D RESS SERV ICE REQ U ESTED G uidebook for M anaging D ata from Em erging Technologies for Transportation N CH RP Research Report 952 TRB ISBN 978-0-309-67349-5 9 7 8 0 3 0 9 6 7 3 4 9 5 9 0 0 0 0