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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2014. Identification and Evaluation of the Cost-Effectiveness of Highway Design Features to Reduce Nonrecurrent Congestion. Washington, DC: The National Academies Press. doi: 10.17226/22476.
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Page 75
Page 76
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2014. Identification and Evaluation of the Cost-Effectiveness of Highway Design Features to Reduce Nonrecurrent Congestion. Washington, DC: The National Academies Press. doi: 10.17226/22476.
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Page 76

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Values of Travel Time Savings in Road Transport Project Evaluation. 7th World Conference on Transport Research, Oxford, United Kingdom, 1996. 20. Calfee, J., and C. Winston. The Value of Automobile Travel Time: Implications for Congestion Policy. Journal of Public Economics, 1998, pp. 83–102. 21. Small, K., and J. Yan. The Value of “Value Pricing” of Roads: Second- Best Pricing and Product Differentiation. Journal of Urban Economics, Vol. 49, 2001, pp. 310–336. 22. Brownstone, D., and K. Small. Valuing Time and Reliability: Assess- ing the Evidence from Road Pricing Demonstrations. Transportation Research Part A: Policy and Practice, Vol. 39, 2003, pp. 279–293. 23. Small, K., C. Winston, and J. Yan. Uncovering the Distribution of Motorists’ Preference for Travel Time and Reliability. Econometrica, Vol. 73, 2005, pp. 1367–1382. 24. Tseng, Y., B. Ubbels, and E. Verhoef. 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76 38. Bates, J., J. W. Polak, P. Jones, and A. Cook. The Valuation of Reli- ability for Personal Travel. Transportation Research Part E, Vol. 37, 2001, pp. 191–229. 39. Ghosh, A. Valuing Time Reliability: Commuters’ Mode Choice from a Real Time Congestion Pricing Experiment. PhD dissertation. Univer- sity of California, Irvine, 2001. 40. Yan, J. Heterogeneity in Motorists’ Preferences for Travel Time and Time Reliability: Empirical Finding from Multiple Survey Data Sets and Its Policy Implications. PhD dissertation. University of California, Irvine, 2002. 41. Bhat, C., and R. Sardesai. The Impact of Stop-Making and Travel Time Reliability on Commute Mode Choice. Transportation Research Part B: Methodological, Vol. 40, 2006, pp. 709–730. 42. Hollander, Y. Direct Versus Indirect Models for the Effects of Unreliability. Transportation Research Part A: Policy and Practice, Vol. 40, 2006, pp. 699–711. 43. Hensher, D. A. Hypothetical Bias, Choice Experiments and Willing- ness to Pay. Working Paper ITLS-WP-0901. Institute of Transport and Logistics Studies, University of Sydney. 2009. 44. Lam, T. C., and K. A. Small. The Value of Time and Reliability: Mea- surement from a Value Pricing Experiment. Transportation Research Part E, Vol. 37, 2001, pp. 231–251. 45. Harwood, D. W., D. J. Torbic, K. R. Richard, and M. M. Meyer. SafetyAnalyst: Software Tools for Safety Management of Specific High- way Sites. Report FHWA-HRT-10-063. Federal Highway Administra- tion, U.S. Department of Transportation, July 2010. 31. Black, I. G., and J. G. Towriss. Demand Effects of Travel Time Reliability. Centre for Logistics and Transportation, Cranfield Institute of Technology, Cranfield, Oxfordshire, United Kingdom, 1993. 32. Small, K. A., R. B. Noland, and P. Koskenoja. Socio Economic Attributes and Impacts of Travel Reliability: A Stated Preference Approach. MOU-117, Draft California PATH Final Report, July 1995. 33. Small, K. A., R. Noland, X. Chu, and D. Lewis. NCHRP Report 431: Valuation of Travel-Time Savings and Predictability in Congested Con- ditions for Highway User-Cost Estimation. TRB, National Research Council, Washington, D.C., 1999. 34. Halse, A., and M. Killi. The Value of Reliability in Freight Trans- port: Evidence from an SP Study. Presented at 90th Annual Meet- ing of the Transportation Research Board, Washington, D.C., 2011. 35. Parsons Brinckerhoff. Synthesis of Existing Practices and Insights from SHRP 2 C04 Project: Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Presented at 90th Annual Meeting of the Transportation Research Board, Washington, D.C., 2011. 36. Asensio, J., and A. Matas. Commuters’ Valuation of Travel Time Vari- ability. Transportation Research Part E, Vol. 44, 2008, pp. 1074–1085. 37. Noland, R. B., and J. W. Polak. Travel Time Variability: A Review of Theoretical and Empirical Issues. Transport Reviews, Vol. 22, No. 1, 2002, pp. 39–54.

Next: Appendix A - Background Information for Model Development »
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TRB’s second Strategic Highway Research Program (SHRP 2) S2-L07-RR-1: Identification and Evaluation of the Cost-Effectiveness of Highway Design Features to Reduce Nonrecurrent Congestion focuses on geometric design treatments that can be used to reduce delays due to nonrecurrent congestion.

The report provides a method for incorporating the economic savings due to delay reduction and economic savings due to reliability improvement for a design treatment during a highway life cycle. The report is accompanied by a Design Guide for Addressing Nonrecurrent Congestion.

SHRP 2 Reliability Project L07 also produced an Analysis Tool for Design Treatments to Address Nonrecurrent Congestion: Annotated Graphical User’s Guide Version 2. The guide is intended to assist users of the Microsoft-based Excel tool designed to analyze the effects of highway geometric design treatments on nonrecurrent congestion using a reliability framework.

The tool is designed to analyze a generally homogeneous segment of a freeway (typically between successive interchanges). The tool allows the user to input data regarding site geometry, traffic demand, incident history, weather, special events, and work zones. Based on these data, the tool calculates base reliability conditions. The user can then analyze the effectiveness of a variety of treatments by providing fairly simple input data regarding the treatment effects and cost parameters. As outputs, the tool predicts cumulative travel time index curves for each hour of the day, from which other reliability variables are computed and displayed. The tool also calculates cost-effectiveness by assigning monetary values.

Subsequent to the analysis tool's release, SHRP 2 Reliability Project L07 produced an Microsoft-based Excel demand generator as a supplement to the analysis tool.

Analysis and Demand Generator Tools Disclaimer – The analysis tool is offered as is, without warranty or promise of support of any kind either expressed or implied. Under no circumstance will the National Academy of Sciences or the Transportation Research Board (collectively "TRB") be liable for any loss or damage caused by the installation or operation of this product. TRB makes no representation or warranty of any kind, expressed or implied, in fact or in law, including without limitation, the warranty of merchantability or the warranty of fitness for a particular purpose, and shall not in any case be liable for any consequential or special damages.

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