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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting: Guidebook for State Transportation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25972.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting: Guidebook for State Transportation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25972.
×
Page 56
Page 57
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting: Guidebook for State Transportation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25972.
×
Page 57
Page 58
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting: Guidebook for State Transportation Agencies. Washington, DC: The National Academies Press. doi: 10.17226/25972.
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Page 58

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.

55 References American Society of Civil Engineers (ASCE). (2013). 2013 Report Card for America’s Infrastructure. http:// www.infrastructurereportcard.org/. Anderson, S., K. R. Molenaar, and C. J. Schexnayder. (2007). NCHRP Report 574: Guidance for Cost Estimation and Management for Highway Projects During Planning, Programming, and Preconstruction. Transportation Research Board of the National Academies, Washington, DC. Betts, M. (2007). Standardization in Information Technology Industries: Emerging Issues under Section Two of the Sherman Antitrust Act. Oklahoma Journal of Law and Technology, 3(1), Article 6. https://digitalcommons. law.ou.edu/okjolt/vol3/iss1/6. Bureau of Labor Statistics. (2018a). Consumer Price Index: Frequently Asked Questions. https://www.bls.gov/cpi/ questions-and-answers.htm. Bureau of Labor Statistics. (2018b). Handbook of Methods. https://www.bls.gov/opub/hom/. Byrnes, J. E. (2002). Best Practices For Highway Project Cost Estimating. Arizona State University, Tempe. Cho, Y. K., J. H. Youn, and D. Martinez. (2010). Error Modeling for an Untethered Ultra-Wideband System for Construction Indoor Asset Tracking. Automation in Construction, 19(1):43–54. Colorado Department of Transportation (Colorado DOT) (2019). Standard Specifications Book. https://www. codot.gov/business/designsupport/cdot-construction-specifications/2019-construction-specifications/ 2019-specs-book. Duncan, G. M., L. M. Sibaja Vargas, P. K. Ram, and K. A. Zimmerman. (2017). Development of a Pavement Management Manual and Data Quality Plan for the Mississippi Department of Transportation. FHWA/ MDOT-RD-17- 268. Mississippi Department of Transportation, Jackson. Federal Highway Administration (FHWA). (2017a). Financial Planning and Fiscal Constraint for Transportation Plans and Programs—Questions & Answers. https://www.fhwa.dot.gov/planning/guidfinconstr_qa.cfm/. Federal Highway Administration (FHWA). (2017b). National Highway System. https://www.fhwa.dot.gov/ planning/national_highway_system/. Fisher, I. (1922). The Making of Index Numbers: A Study of Their Varieties, Tests, and Reliability. Boston, New York: Houghton Mifflin Company. Gransberg, D. D., H. D. Jeong, I. Karaca, and B. Gardner. (2015). Appendix F, Research Paper 3: Rationally Selecting Data for Highway Construction Cost Estimating at the Conceptual Stage. In Top-Down Construc- tion Cost Estimating Model/Guide Using a Neural Network, Iowa State University Institute for Transportation, Ames, pp. 75–92. Gransberg, D. D., and J. Rueda-Benavides. (2014). Indefinite Delivery/Indefinite Quantity Final Report. MN/RC 2014-31. Minnesota Department of Transportation, St. Paul. Iglewicz, B., and D. Hoaglin. (1993). How to Detect and Handle Outliers. ASQC Quality Press, Milwaukee, WI. Janacek, J. (2006). Construction Costs Going Through the Roof? Presented at 2006 Public Works Officer Institute, Los Angeles, CA. Japan International Cooperation Agency (JICA). (2000). Evaluation Guide for Prequalification and Bidding Under Japanese ODA Loans: Procurement of Goods and Services. Tokyo, Japan. Molenaar, K., S. Anderson, and C. Schexnayder. (2013). AASHTO Practical Guide to Estimating. AASHTO Technical Committee on Cost Estimating, Washington, DC. Motulsky, H. J., and R. E. Brown. (2006). Detecting Outliers When Fitting Data with Nonlinear Regression: A New Method Based on Robust Nonlinear Regression and the False Discovery Rate. BMC Bioinformatics, 7(1), Article 123. Munday, S. C. R. (1996). Microeconomics and Macroeconomics. In Current Developments in Economics. Palgrave, London, pp. 33–44.

56 Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting: Guidebook for State Transportation Agencies Pakalapati, K. (2018). Data Usage Optimization for Cost Estimating in Asphalt Paving Projects Using a Cost Indexing System. Master’s thesis. Auburn University, Auburn, AL. Rueda-Benavides, J. (2016). Indefinite Delivery/Indefinite Quantity Project Selection Framework Using Stochastic Techniques. PhD dissertation. Iowa State University, Ames. Rueda-Benavides, J., and D. D. Gransberg. (2015). Suitability Analysis of Existing Construction Cost Indexes for Minnesota Department of Transportation Construction Projects. Presented at 94th Annual Meeting of the Transportation Research Board, Washington, DC. Rueda-Benavides, J., C. Schexnayder, G. Gad, D. D’Angelo, and C. Mayorga. (2020). NCHRP Web-Only Document 283: Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting for State Transportation Agencies. Transportation Research Board, Washington, DC. Wickham, H. (2014). Tidy Data. Journal of Statistical Software, 59(10):1–23.

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 ACI–NA Airports Council International–North 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 America’s 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 N O N -PR O FIT O R G . U .S. PO STA G E PA ID C O LU M B IA , M D PER M IT N O . 88 ISBN 978-0-309-67344-0 9 7 8 0 3 0 9 6 7 3 4 4 0 9 0 0 0 0

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Because transportation investment programs have extended time horizons, state departments of transportation (DOTs) must forecast costs well into the future. This poses a serious challenge: the longer the time horizon, the more uncertainty and risk that forecasted costs will vary from actual, future costs.

The TRB National Cooperative Highway Research Program's NCHRP Research Report 953: Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting: Guidebook for State Transportation Agencies presents a cost forecasting method for use by state transportation agencies that better accounts for cost variability and economic volatility over time.

Supplemental information to the report includes NCHRP Web-Only Document 283: Improving Mid-Term, Intermediate, and Long-Range Cost Forecasting for State Transportation Agencies, a cost forecasting toolkit, a guidebook presentation, and videos.

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