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Page 33
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2006. Fixed-Route Transit Ridership Forecasting and Service Planning Methods. Washington, DC: The National Academies Press. doi: 10.17226/14001.
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Page 33
Page 34
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2006. Fixed-Route Transit Ridership Forecasting and Service Planning Methods. Washington, DC: The National Academies Press. doi: 10.17226/14001.
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Page 34

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

1. Yuratovac, D.G., “Bus Route-Level Demand Modeling,” Transportation Research Record 862, Transportation Research Board, National Research Council, Washing- ton, D.C., 1982, pp. 16–22. 2. Ulberg, C., “Short-Term Ridership Projection Model,” Transportation Research Record 854, Transportation Research Board, National Research Council, Washing- ton, D.C., 1982, pp. 12–16. 3. Levinson, H.S. and O. Brown-West, “Estimating Bus Ridership,” Transportation Research Record 994, Transportation Research Board, National Research Council, Washington, D.C., 1984, pp. 8–12. 4. Horowitz, A.J., Transit Ridership Forecasting Model: Reference Manual, Urban Mass Transportation Adminis- tration, U.S. Department of Transportation, Washington, D.C., 1985. 5. Levinson, H.S., “Forecasting Future Transit Route Rid- ership,” Transportation Research Record 1036, Trans- portation Research Board, National Research Council, Washington, D.C., 1985, pp. 19–28. 6. Menhard, H.R. and G.F. Ruprecht, “Review of Route- Level Ridership Prediction Techniques,” Transporta- tion Research Record 936, Transportation Research Board, National Research Council, Washington, D.C., 1983, pp. 22–24. 7. Mayworm, P.D., A.M. Lago, and J.M. McEnroe, Patronage Impacts of Changes in Transit Fares and Ser- vices, Urban Mass Transportation Agency, Washington, D.C., 1980, 246 pp. 8. Pratt, R.H., N.J. Pederson, and J.J. Mather, Traveler Response to Transportation System Changes: A Hand- book for Transportation Planners, Federal Highway Administration, Washington, D.C., 1977, 283 pp. 9. Pratt, R.H. and J.N. Coople, Traveler Response to Transportation System Changes, 2nd ed., Federal High- way Administration, Washington, D.C., 1981, 408 pp. 10. Pratt, R.H., Research Results Digest 61: Traveler Response to Transportation System Changes: An Interim Introduction to the Handbook, Transportation Research Board, National Research Council, Washing- ton, D.C., Sep. 2003, 23 pp. 11. Evans, J.E., IV, “Transit Scheduling and Frequency,” In TCRP Report 95: Traveler Response to Transportation System Changes, Transportation Research Board, National Research Council, Washington, D.C., [Online]. Available: http://www.trb.org/publications/tcrp/tcrp_rpt_95c9.pdf [accessed May 2004]. 12. Pratt, R.H. and J.E. Evans, IV, “Bus Routing and Cover- age,” In Traveler Response to Transportation System Changes, Transportation Research Board, National Research Council, Washington, D.C. [Online]. Available: http://www.trb.org/publications/tcrp/tcrp_rpt_95c10.pdf [accessed Aug. 2004]. 13. Fearnley, N. and J.-T. Bekken, “Short- and Long-Run Demand Effects in Transport: A Literature Survey,” TOI Report 802/2005, Institute of Transport Economics, Oslo, Norway, 2005, 12 pp. 14. Eash, R., K. Dallmeyer, and R. Cook, “Ridership Fore- casting for Chicago Transit Authority’s West Corridor Project,” Transportation Research Record 1402, Trans- portation Research Board, National Research Council, Washington, D.C., 1993, pp. 40–42. 15. Rice, W.E., “A Model of Selected Ridership Forecasting Techniques with a Limited Database—A Case Study of the Central Coast Diegan,” C. Borrego and L. Sucharov Eds., Proceedings from the Fourth International Confer- ence on Urban Transport and Environment for the 21st Century, WIT Press, Southampton, United Kingdom, 1998, pp. 3–12. 16. Saur, G.J., R. Lee, and C. Gray, “New Method for Tran- sit Ridership Forecasting,” Presented at the 2004 Annual Meeting of the Institute of Transportation Engineers, Lake Buena Vista, Fla., Aug. 2004, 14 pp. 17. Stopher, P.S., “Development of a Route-Level Patron- age Forecasting Method,” Transportation, Vol. 19, No. 3, 1992, pp. 201–220. 18. Peng, Z.-R., et al., “A Simultaneous Route-Level Tran- sit Patronage Model: Demand, Supply, and Inter-Route Relationship,” Transportation, Vol. 24, No. 2, May 1997, pp. 159–181. 19. Hartgen, D.T. and M.W. Horner, “A Route-Level Transit Ridership Forecasting Model for Lane Transit District, Eugene, Oregon,” Transportation Publication Number 170, University of North Carolina Charlotte Center for Interdisciplinary Transportation Studies, Charlotte, 1997. 20. Boyle, D. and K. Luhrsen, “Ridership Estimation Model for MTDB,” Prepared for MTDB by Transportation Management & Design, San Diego, Calif., 1998. 21. TranSystems Corporation, et al., “NY5 Bus Rapid Tran- sit Conceptual Design Study Deliverable G—Technical Memorandum: Ridership Forecasting,” Prepared for the Capital District Transportation Commission and the Capital District Transportation Authority, Albany, N.Y., Dec. 2004. 22. “RTAP Planning Process,” In Regional Transit Action Plan, Georgia Regional Transportation Authority, Atlanta, June 30, 2003. 23. “Phoenix Model Development Project, Sketch Plan- ning Analysis Report (Task 2),” Prepared for the Mari- copa Association of Governments by Parsons, Brinck- erhoff, Quade, and Douglas, Inc., Tempe, Ariz., Nov. 1999. 24. Yu, K., DFWRTM Application Users Guide, Version 2.2.6, North Central Texas Council of Governments, Dallas, Feb. 2006. REFERENCES 33

34 25. Bernardin, Lochmueller & Associates, Inc., Knoxville Regional TransCAD Travel Demand Model Develop- ment: Model Development and Validation Report, Pre- pared for the Knoxville Regional Transportation Planning Organization, Knoxville, Tenn., Mar. 2004. 26. T-BEST (Transit Boardings Estimation and Simulation Tool), Florida Department of Transportation, Tallahas- see [Online]. Available: www.tbest.org [accessed Feb. 15, 2006]. 27. Chu, X., et al., “A Framework of Modeling and Fore- casting Stop-Level Transit Patronage,” Presented at the 52nd Annual North American Meeting of the Regional Science Association International, Las Vegas, Nev., Nov. 10–12, 2005. 28. Pendyala, R.M., I. Ubaka, and N. Sivaneswaran, “Geo- graphic Information System-Based Regional Transit Feasibility Analysis and Simulation Tool, Transporta- tion Research Record 1799, Transportation Research Board, National Research Council, Washington, D.C., 2002, pp. 42–49. 29. Lane, C., M. DiCarlantonio, and L. Usvyat, “Sketch Models to Forecast Commuter and Light Rail Ridership: Update to TCRP Report 16,” Presented at the 85th Annual Meeting of the Transportation Research Board, Washington, D.C., Jan. 22–26, 2006. 30. Parsons, Brinckerhoff, Quade & Douglas, Inc., et al., “Commuter and Light Rail Transit Corridors: The Land Use Connection,” TCRP Report 16: Transit and Urban Form, Vol. I, Part II, Transportation Research Board, National Research Council, Washington, D.C., Mar. 1996. 31. Marshall, N. and B. Grady, “Sketch Transit Modeling Based on 2000 Census Data,” Presented at the 85th Annual Meeting of the Transportation Research Board, Washington, D.C., Jan. 22–26, 2006.

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TRB's Transit Cooperative Research Program (TCRP) Synthesis 66: Fixed-Route Transit Ridership Forecasting and Service Planning Methods examines the state of the practice in fixed-route transit ridership forecasting and service planning. The report also explores forecasting methodologies, resource requirements, data inputs, and organizational issues. In addition, the report analyzes the impacts of service changes and reviews transit agency assessments of the effectiveness and reliability of their methods and of desired improvements.

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