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Estimating Toll Road Demand and Revenue (2007)

Chapter: References

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Page 42
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2007. Estimating Toll Road Demand and Revenue. Washington, DC: The National Academies Press. doi: 10.17226/23188.
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Page 42
Page 43
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2007. Estimating Toll Road Demand and Revenue. Washington, DC: The National Academies Press. doi: 10.17226/23188.
×
Page 43
Page 44
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2007. Estimating Toll Road Demand and Revenue. Washington, DC: The National Academies Press. doi: 10.17226/23188.
×
Page 44

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.

43 1. Regan, E., “Moving Off the Gas Tax Implications for the Toll Industry,” Tollways, Vol. 1, No. 1, 2004, pp. 2–5. 2. Gustavo, B.A., “Investment-Quality Surveys,” Texas Turnpike Authority, Austin, 2004. 3. Muller, R. and K. Buono, “Start-up Toll Roads: Separat- ing Winners from Losers,” Municipal Credit Monitor, J.P. Morgan Securities Inc., New York, N.Y., May 10, 2002. 4. “Private Sector Sponsorship of and Investment in Major Projects Has Been Limited,” GAO-04-419, General Accounting Office, Washington, D.C., 2004, pp. 38–52. 5. George, C., W. Streeter, and S. Trommer, “Bliss, Heart- burn, and Toll Road Forecasts,” Public Finance, Fitch Ratings, New York, N.Y., 2003. 6. Muller, R., “Examining Toll Road Feasibility Studies,” Municipal Credit Monitor, J.P. Morgan Securities Inc., New York, N.Y., 1996, pp. 1–12. 7. “Congestion Pricing—Reducing Traffic Jams Through Economics,” 1996 [Online]. Available: http://ntl.bts. gov/DOCS/Fall96_Congestion/Fall96_Congestion.htm. 8. Parsons Brinckerhoff, Texas Transportation Institute, and Federal Highway Administration, “A Guide for HOT Lane Development,” Federal Highway Adminis- tration, Washington, D.C., 2000. 9. Bain, R. and M. Wilkins, “Credit Implications of Traffic Risk in Start-up Toll Facilities,” Standard & Poor’s, New York, N.Y., Aug. 15, 2002. 10. English, M., “Environment Risk and Justice,” In Risk Analysis and Society, T. McDaniels and M.J. Small, Eds., Cambridge University Press, United Kingdom, 2004, pp. 119–159. 11. Yelds, A. and M. Burris, “Variable Toll Pricing Program Lee Country, Florida—Revealed Preference Telephone Survey Findings,” Transportation Research Record 1732, Transportation Research Board, National Research Council, Washington, D.C., 2000, pp. 42–49. 12. Meyer, M. and E. Miller, Urban Transportation Planning: A Decision-Oriented Approach, 2nd ed., McGraw–Hill, New York, N.Y., 2001. 13. Garrett, M. and M. Wachs, Transportation Planning on Trial: The Clean Air Act and Travel Forecasting, Sage Publications Inc., Thousand Oaks, Calif., 1996. 14. Delcan Corporation, ADEC Consultants, and iTRANS Consulting, Costs of Congestion in Canada’s Trans- portation Sector, Final Report, Transport Canada, Ottawa, ON, Canada, 2005, pp. 35–39. 15. Boyce, D.E. and Y.-F. Zhang, “Calibrating Combined Model of Trip Distribution, Modal Split, and Traffic Assignment,” Transportation Research Record 1607, Transportation Research Board, National Research Council, Washington, D.C., 1997, pp. 1–5. 16. Levinson, D. and A. Kumar, “Integrating Feedback into Transportation Planning Model: Structure and Application,” Transportation Research Record 1413, Transportation Research Board, National Research Council, Washington, D.C., 1993, pp. 70–77. 17. Miller, E.J., D.S. Kriger, and J.D. Hunt, TCRP Report 48: Integrated Urban Models for Simulation of Transit and Land Use Policies: Guidelines for Implementation and Use, Transportation Research Board, National Research Council, Washington, D.C., 1998, 251 pp. 18. Chung, J.-H. and K.G. Goulias, “Travel Demand Fore- casting Using Microsimulation—Initial Results from Case Study in Pennsylvania,” Transportation Research Record 1607, Transportation Research Board, National Research Council, Washington, D.C., 1997, pp. 24–30. 19. Shiftan, Y., B.-A., Moshe, K. Proussaloglou, G. de Jong, Y. Popuri, and S. Bekhor, “Activity-Based Modeling as a Tool for Better Understanding Travel Behaviour,” Presented at the 10th International Conference on Travel Behaviour Research, Lucerne, Switzerland, Aug. 10, 2003. 20. Urban Analytics Inc. and URS Corporation, “Estimating Demand for Value Pricing Projects—State of the Prac- tice, Final Draft,” Prepared for North Central Texas Council of Governments, Arlington, Mar. 26, 2004. 21. Allen, W.G., Jr., and G.W. Schultz, “Congestion-Based Peak Spreading Model,” Transportation Research Record 1556, Transportation Research Board, National Research Council, Washington, D.C., 1996, pp. 8–15. 22. Van der Zijpp, N.J. and C.D.R. Lindveld, “Estimation of Origin–Destination Demand for Dynamic Assignment with Simultaneous Route and Departure Time Choice,” Transportation Research Record 1771, Transportation Research Board, National Research Council, Washington, D.C., 2001, pp. 75–82. 23. Hague Consulting Group, Halcrow Fox, and Imperial College London, Modelling Peak Spreading and Trip Retiming—Phase II, Department for Transport, London, United Kingdom, 2000. 24. Delcan Corporation, Guiding Framework: Tools for Urban Energy Use and CO2 Planning, Final Report, Natural Resources Canada, Ottawa, ON, Canada, 2001. 25. Dehghani, Y. and W. Olsen, “Potential Pitfalls in Fore- casting Travel Demand for Toll Roads: Experience in the US and Overseas,” TRB Paper 99051, 1998. 26. Cambridge Systematics, Inc., and URS Corporation, MnPass System Study—Technical Memorandum Num- ber 3, Travel Demand Forecasting Approach, Feb. 3, 2005. 27. Sullivan, E., Continuation Study to Evaluate the Impacts of the SR 91 Value-Priced Express Lanes—Final Report, California Department of Transportation and Cal Poly University, 2000, 252 pp. 28. Holguin-Veras, J., K. Ozbay, and A. Cerreno, Evalua- tion Study of Port Authority of New York and New Jer- sey’s Time of Day Pricing Initiative—Final Report, REFERENCES

FHWA/NJ-2005-005, Federal Highway Administration, Washington, D.C., 2005. 29. Spears, B., “Summary of the Current State of the Prac- tice in Modeling Road Pricing,” Nov. 14, 2005. 30. Vollmer Associates LLP, “183A Project Traffic and Revenue Study—Final Report,” Central Texas Regional Mobility Authority, Austin, Dec. 16, 2004. 31. Smith, D., C. Chang-Albitres, W. Stockton, and C. Smith, Estimating Revenues Using a Toll Viability Screening Tool, FHWA/TX-05/0-4726-1, Federal Highway Admin- istration, College Station, Tex., Oct. 2, 2004, pp. 9–21. 32. URS Corporation, “Traffic Engineer’s Annual Report Enterprise Toll Operations,” Florida Department of Transportation, Tallahassee, Dec. 31, 2004. 33. Dehghani, Y., T. Adler, M.W. Doherty, and R. Fox, “Development of a New Toll Mode-Choice Modeling System for Florida’s Turnpike Enterprise,” Transporta- tion Research Record 1858, Transportation Research Board, National Research Council, Washington, D.C., 2003, pp. 9–17. 34. Wachs, M., “Ethics and Advocacy in Forecasting for Public Policy,” Business & Professional Ethics Journal, Vol. 9, No. 1 & 2, 1990, pp. 141–157. 35. Pickrell, D., “A Desire Named Streetcar—Fantasy and Fact in Rail Transit Planning,” Journal of the American Planning Association, Vol. 58, No. 2, Spring 1992, pp. 158–176. 36. Flyvbjerg, B., M.K.S. Holm, and S.L. Buhl, “How (in)Accurate Are Demand Forecasts in Public Works Projects? The Case of Transportation,” Journal of the American Planning Association, Vol. 71, No. 2, 2005, pp. 131–146. 37. Giglio, J.M., Jr., “Why Governments Lie—Why Gov- ernments ALWAYS Lie about the Cost of Public Work Projects—and Why People Want Them to,” The American Outlook—Ideas for the Future, Vol. 1, 1998, pp. 19–26. 38. “Mid-Bay Bridge Actual Revenue Growth,” URS Con- sultants Inc., San Francisco, Calif., Aug. 8, 1995. 39. URS Consultants Inc., and Coverdale & Colpitts, “Traf- fic and Earnings Report for the Proposed Choctawhatchee Bay Bridge,” State of Florida Mid-Bay Bridge Authority Revenue Bonds, Series 1991B, Apr. 1991. 40. “E-470 2003 Actual Revenue Report,” Public Highway Authority, Aurora, Colo., 2003 [Online]. Available: www.e-470.com. 41. Vollmer Associates LLP, Hagler Bailly Services Inc., Cambridge Systematics Inc., and Felsbur Holt & Ulle- vig, “E-470 Toll Revenue Study,” E-470 Public High- way Authority Senior Revenue Bonds, Apr. 26, 2000. 42. Garcon Point Bridge, 2004 Annual Report, Emergency Transportation Operations, Florida Department of Transportation, Tallahassee, 2004. 43. URS Consultants Inc., and Coverdale & Colpitts, “Traf- fic and Earnings Report for the Proposed Garcon Point–Redfish Point Toll Bridge,” Santa Rosa Bay 44 Bridge Authority (Florida) Revenue Bonds, Series 1996, Oct. 17, 1996. 44. “Traffic Statistics,” Pocahontas Parkway, Richmond, Va., 2005 [Online]. Available: http://www.pocahontas parkway.com/ts.html. 45. Wilbur Smith Associates, “Route 895 Connector Com- prehensive Traffic and Revenue Study,” Pocahontas Parkway Association Route 895 Connector Toll Road Revenue Bonds, June 24, 1998. 46. 2004 Annual Report, Northwest Parkway Public High- way Authority, Broomfield, Colo., 2004. 47. Vollmer Associates LLP, PBConsult Inc., Cambridge Sys- tematics Inc., and Carter & Burgess, “Northwest Parkway Traffic and Revenue Study,” Northwest Parkway Public Highway Authority Revenue Bonds, June 14, 2001. 48. Summary: Northwest Parkway Public Highway Author- ity, Credit Analysis, Standard & Poor’s, New York, N.Y., 2005. 49. Bain, R. and L. Polakovic, Traffic Forecasting Risk: Study Update 2005: Through Ramp-up and Beyond, Standard & Poor’s, New York, N.Y., 2005. 50. Vollmer Associates LLP, Final Traffic and Revenue Report—Transportation Corridor System—Including the San Joaquin Hills, Foothill and Eastern Transporta- tion Corridors, 140, Transportation Corridor Agencies, Calif., Sep. 24, 2003. 51. “The Toll Roads—2005 Annual Reports,” 2005 [Online]. Available: http://www.thetollroads.com/home/annualre port_2005.htm. 52. Ely, J.L., P.A. Bianchini, A.H. Goldberg, D.W. Green- baum, and E.J. Regan, “Improving Toll Feasibility Studies,” International Bridge, Tunnel, and Turnpike Association, Washington, D.C., 1988. 53. “Traffic Risk in Start-up Toll Facilities,” Standard & Poor’s, New York, N.Y., 2002. 54. “The Value of Saving Travel Time: Department Guidance for the Valuation of Travel Time in Economic Analysis,” U.S. Department of Transportation, Washington, D.C., Apr. 4, 1997. 55. “Revised Department Guidance: Valuation of Travel Time in Economic Analysis,” U.S. Department of Transportation, Washington, D.C., 2003. 56. Small, K.A., C. Winston, and J. Yan, “Uncovering the Distribution of Motorist Preferences for Travel Time and Reliability: Implications for Road Pricing,” Univer- sity of California Transportation Center, Berkeley, Aug. 2002, 42 pp. 57. Hensher, D. and P. Goodwin, “Using Values of Travel Time Savings for Toll Roads: Avoiding Some Common Errors,” Working Paper ITS-WP-03-12, University College London, United Kingdom, 2003. 58. Burris, M.W., K.K. Konduru, and C.R. Swenson, “Long-Run Changes in Driver Behavior Due to Variable Tolls,” Transportation Research Record 1864, Trans- portation Research Board, National Research Council, Washington, D.C., 2004, pp. 78–85.

45 59. Calfee, J., C. Winston, and R. Stempski, “Econometric Issues in Estimating Consumer Preferences from Stated Preference Data: A Case Study of the Value of Automo- bile Travel Time,” The Review of Economics and Statis- tics, Vol. 83, No. 4, 2001, pp. 699–707. 60. Bain, R. and J. Plantagie, “Traffic Forecasting Risk: Study Update 2003,” Reason Public Policy Institute, Standard & Poor’s, New York, N.Y., Nov. 6, 2003. 61. Orsi, M., “Start-up Toll Road Facilities,” Paper pre- sented at National Federation of Municipal Analysts 1996 National Conference, Baltimore, Md., 1996. 62. Flyvbjerg, B., “Measuring Inaccuracy in Travel Demand Forecasting: Methodological Considerations Regarding Ramp Up and Sampling,” Transportation Research, Part A: Policy and Practice, Vol. 39, No. 6, 2005, pp. 522–530. 63. Wilbur Smith Associates, “Tyler Loop 49—Level 2 Intermediate Traffic and Toll Revenue Study,” Final Report, Texas Turnpike Authority Division, Texas Department of Transportation, Austin, Mar. 14, 2005. 64. Parsons Brinckerhoff, Resource Systems Group, “SR 520 Toll Feasibility Study,” Seattle, Wash., 2004. 65. Bruce, D., “Comments Related to ‘Recommended Best Practices in Disclosure for Toll Road Financings’,” Unpublished memorandum, HLB Decision Economics, Ottawa, ON, Canada, Mar. 4, 2005. 66. Lam, W. and M.L. Tam, “Risk Analysis of Traffic and Revenue Forecasts for Road Investment Projects,” Jour- nal of Infrastructure Systems, Vol. 4, No. 1, 1998, pp. 19–27. 67. Bain, R. and J. Plantagie, “Traffic Forecasting Risk: Study Update 2004,” Reason Public Policy Institute, Standard & Poor’s, New York, N.Y., Oct. 19, 2004. 68. Flyvbjerg, B. and COWI, “Procedure for Dealing with Optimism Bias in Transport Planning—Guidance Doc- ument,” British Department for Transport, London, United Kingdom, 2004. 69. “Introduction to New Starts, Federal Transit Adminis- tration,” Federal Transit Administration, Washington, D.C., Jan. 2005 [Online]. Available: www.fta.dot.gov/ 16893_ENG_HTML.htm. 70. “Certification Checklist for Travel Forecasting Meth- ods,” U.S. Department of Transportation, Washington, D.C., May 27, 2004. 71. “TMIP Peer Review Program Synthesis Report,” Volpe National Transportation Systems Center, Federal High- way Administration, Washington, D.C., 2004. 72. “TIFIA Project Oversight and Credit Monitoring Guid- ance,” Transportation Infrastructure and Finance Act (TIFIA) Joint Program Office, U.S. Department of Transportation, Washington, D.C., Aug. 4, 2005. 73. “Guidelines for Conducting TTA Traffic and Revenue Studies,” Technical Memorandum 2005-2, Texas Turn- pike Authority, Austin, 2005. 74. “Toll Feasibility Analysis Guide,” Texas Department of Transportation, Austin, 2004.

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