National Academies Press: OpenBook
« Previous: Abbreviations and Acronyms
Page 98
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Statewide and Megaregional Travel Forecasting Models: Freight and Passenger. Washington, DC: The National Academies Press. doi: 10.17226/24927.
×
Page 98
Page 99
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Statewide and Megaregional Travel Forecasting Models: Freight and Passenger. Washington, DC: The National Academies Press. doi: 10.17226/24927.
×
Page 99
Page 100
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Statewide and Megaregional Travel Forecasting Models: Freight and Passenger. Washington, DC: The National Academies Press. doi: 10.17226/24927.
×
Page 100
Page 101
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Statewide and Megaregional Travel Forecasting Models: Freight and Passenger. Washington, DC: The National Academies Press. doi: 10.17226/24927.
×
Page 101
Page 102
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Statewide and Megaregional Travel Forecasting Models: Freight and Passenger. Washington, DC: The National Academies Press. doi: 10.17226/24927.
×
Page 102

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.

99 RefeRences Alliance Transportation Group, Arkansas Statewide Travel Demand Model: Passenger Model, Austin, Tex., 2015. Amekudzi, A., L. Thomas-Mobley, and C. Ross, Transportation Planning and Infrastructure Delivery in Major Cities and Megacities, Transportation Research Record: Journal of the Transportation Research Board, No. 1997, 2007, pp. 17–23. http://dx.doi.org/10.3141/1997-03. Arizona Department of Transportation (ADOT), Four States Sign Pact to Create I-10 Corridor Coali- tion, ADOT News Release, June 7, 2016, Phoenix [Online]. Available: http://bit.ly/2biXH7Z [accessed Aug. 4, 2016]. Babbie, E., The Practice of Social Research, 12th ed., Wadsworth Publishing Company, Belmont, Calif., 2011. Baker, L., A. Brazel, L. Byrne, A. Felson, M. Grove, K. Hill, K. Nelson, V. Shandas, and J. Walker, Effects of Human Choice on Characteristics of Urban Ecosystems, Bulletin of the Ecological Soci- ety of America, Vol. 88, No. 4, 2007, pp. 404–409. Balmer, M., K. Meister, M. Rieser, K. Nagal, and K.M. Axhausen, Agent-based Simulation of Travel Demand: Structure and Computational Performance of MATSim-T, 2008. [Online]. Available: http://e-collection.library.ethz.ch/eserv/eth:30519/eth-30519-01.pdf [accessed July 26, 2016]. Baltimore Metropolitan Council (BMC), “Baltimore Region Travel Demand Model,” Version 3.3, 2000 Validation, 2007. Battelle, FAF3 Freight Traffic Analysis. Final draft report for Oak Ridge National Laboratory, Oak Ridge, Tenn., 2012. Beagan, D., M. Fischer, and A. Kuppam, Quick Response Freight Manual II, FHWA-HOP-08-010, Federal Highway Administration, Washington, 2007. Bernardin, V., S. Trevino, and J. Short, Expanding Truck GPS-based Passive Origin-Destination Data in Iowa and Tennessee, 2014. [Online]. Available: http://docs.trb.org/prp/15-4687.pdf [accessed July 16, 2016]. Brownstone, D., M. Hansen, and S. Madanat, Review of Bay Area/California High-Speed Rail Ridership and Revenue Forecasting Study, Research Report UCB-ITS-RR-2010-1, University of California, Berkeley, 2010. Bureau of Economic Analysis (BEA), Auto and Truck Seasonal Adjustment, 2016 [Online]. Avail- able: http://www.bea.gov/national/xls/gap_hist.xlsx [accessed May 13, 2016]. Bureau of Transportation Statistics (BTS), Standard Classification of Transported Goods (SCTG) Codes, BTS, U.S.DOT, Washington, D.C., 2015 [Online]. Available: http://bit.ly/2fDd0LU [accessed Dec. 30, 2015]. Bureau of Transportation Statistics (BTS), National Transportation Statistics, Table 4-5: “Fuel Con- sumption by Mode of Transportation in Physical Units,” BTS, U.S.DOT, Washington, D.C., 2016 [Online]. Available: http://bit.ly/2cayuj6 [accessed May 13, 2016]. Cambridge Systematics, “California Statewide Travel Demand Model,” Version 2.0: Model Over- view, 2014 [Online]. Available: http://bit.ly/2cCbKbW [accessed July 16, 2016]. Cambridge Systematics, “California High-Speed Rail Ridership and Revenue Model: Business Plan Model-Version 3 Model Documentation,” 2016a [Online]. Available: http://bit.ly/2cixvtU [accessed July 16, 2016]. Cambridge Systematics, “California High-Speed Rail 2016 Business Plan Ridership and Revenue Forecasting: Technical Supporting Document,” 2016b [Online]. Available: http://bit.ly/2bSbHJI [accessed July 16, 2016]. Cambridge Systematics, Validation and Sensitivity Considerations for Statewide Models, NCHRP Project 836b, Task 91, Final Report, Transportation Research Board of the National Academies of Sciences, Engineering, and Medicine. Washington, D.C., 2010. Cambridge Systematics; Corey, Canapary and Galanis Research; and K.J. Tierney, California High Speed Rail 2013–2014 Traveler Survey, 2015 [Online]. Available: http://bit.ly/2cf2B7C [accessed July 16, 2016]. Cambridge Systematics, Inc.; Vanasse Hangen Brustlin, Inc.; Gallop Corporation; C.R. Bhat; Shapiro Transportation Consulting; and Martin/Alexiou/Bryson, NCHRP Report 716: Travel Demand Fore- casting: Parameters and Techniques, Transportation Research Board of the National Academies, Washington, D.C., 2012.

100 Cambridge Systematics, Inc.; Dowling Associates, Inc.; System Metrics Group, Inc.; and Texas Transportation Institute, NCHRP Report 618: Cost-Effective Performance Measures for Travel Time Delay, Variation, and Reliability, Transportation Research Board of the National Academies, Washington, D.C., 2008. CDM Smith, A. Horowitz, T. Creasey, R. Pendyala, and M. Chen, NCHRP Report 765: Analytical Travel Forecasting Approaches for Project-Level Planning and Design, Transportation Research Board of the National Academies, Washington, D.C., 2014. Chase, K., P. Anater, and T. Phelan, SHRP 2 Report S2-C20-RW-2: Freight Demand Modeling and Data Improvement Strategic Plan, Transportation Research Board of the National Academies, Washington, D.C., 2013. Chow, J.Y.J., C.H. Yang, and A.C. Regan, State-of-the Art of Freight Forecast Modeling: Lessons Learned and the Road Ahead, Transportation, Vol. 37, No. 6, 2010, pp. 1011–1030. Christaller, W., Central Places in Southern Germany, Translated by W. Baskin, Prentice Hall, London, U.K., 1933, translated 1966. Circella, G., J.D. Hunt, K.J. Stefan, A.T. Brownstone and M. McCoy, Simplified Model of Local Transit Services, European Journal of Transport and Infrastructure Research, Vol. 14, No. 2, 2014, pp. 122–142. Conder, S. and K. Lawton, Alternative Futures for Integrated Transportation and Land-Use Models Contrasted with Trend-Delphi Models, Transportation Research Record: Journal of the Transpor- tation Research Board, No. 1805, 2002, pp. 99–107. http://dx.doi.org/10.3141/1805-12. Dawkins, C., Regional Development Theory: Conceptual Foundations, Classic Works, and Recent Developments, Journal of Planning Literature, CPL Bibliography 370, Vol. 18, No. 2, 2003, pp. 131–172. De Coensel, B., T. De Muer, I. Yperman, and D. Botteldooren, The Influence of Traffic Flow Dynamics on Urban Soundscapes, Applied Acoustics, Vol. 66, No. 2, 2005, pp. 175–194. De la Barra, T., Integrated Land Use and Transport Modelling: Decision Chains and Hierarchies, Cambridge University Press, Cambridge, U.K., 2005. Donnelly, R., A Hybrid Microsimulation Model of Freight Flows, E. Taniguchi and R. Thompson, Eds., City Logistics V. Institute for City Logistics, Kyoto, Japan, 2007, pp. 235–246. Donnelly, R., G. Erhardt, R. Moeckel, and W. Davidson, NCHRP Synthesis 406: Advanced Practices in Travel Forecasting, Transportation Research Board of the National Academies, Washington, D.C., 2010. Donnelly, R. and G. Macfarlane, Eds., SWIM2 Model Development Report, Oregon Department of Transportation, Salem, 2016. Ducca, F., et al., A Framework for Megaregion Analysis: Development and Proof of Concept, Final Report for the Federal Highway Administration, Exploratory Advanced Research Program, May 2013. Echenique, M.H., A.D.J. Flowerdew, J.D. Hunt, I.J. Skidmore, and D.C. Simmonds, The MEPLAN Models of Bilbao, Leeds, and Dortmund, Transport Reviews, Vol. 10, No. 4, 2007, pp. 309–332. Economic Development Research Group, Appalachian Development Highway System Economic Analysis Study: Synthesis of Findings to Date, 2016 [Online]. Available: http://bit.ly/2bTyZf3 [accessed July 16, 2016]. Environmental Protection Agency (EPA), MOVES (Motor Vehicle Emission Simulator), EPA, Washington, D.C., 2016 [Online]. Available: https://www3.epa.gov/otaq/models/moves/index.htm [accessed June 5, 2016]. Erdogan, S., F.W. Ducca, K. Patnam, Z. Deng, D. Yang, and X. Wang, Inclusion of Time-Dependent Networks in Maryland Statewide Transportation Model, National Center for Smart Growth Research, University of Maryland, College Park, 2014 [Online]. Available: http://bit.ly/2biO3PQ [accessed July 25, 2016]. Federal Highway Administration (FHWA) HEPGIS. Planning, Environment, Reality (HEP), FHWA, Washington, D.C., 2016a [Online]. Available: http://hepgis.fhwa.dot.gov/fhwagis, [accessed July 25, 2016]. Federal Highway Administration (FHWA), Highway Statistics 2013, Table VM-1, 2016b [Online]. Available: https://www.fhwa.dot.gov/policyinformation/statistics/2013/vm1.cfm#foot5 [accessed July 25, 2016].

101 Florida Department of Transportation (FDOT), Official Web Portal for Florida Transportation Modeling, FDOT, Tallahassee, 2016 [Online]. Available: http://www.fsutmsonline.net [accessed Aug. 5, 2016]. Florida, R.T., “Mega-Regions and High-Speed Rail,” The Atlantic, May 2009. Florida, R., T. Gulden, and C. Mellander, The Rise of the Mega-region, Cambridge Journal of Regions, Economy, and Society, Vol. 1, 2008, pp. 459–476. Fox, K., and K. Kumar, The Functional Economic Area: Delineation and Implications for Economic Analysis and Policy, Urban-Regional Economics, Social System Accounts, and Eco-Behavioral Science: Selected writings of Karl A. Fox, J. Prescott, P. van Moeskeke, and J. Sengupta, Eds., Iowa State University Press, Ames, 1994. Giaimo, G. and R. Schiffer, Transportation Research Circular E-C075: Statewide Travel Demand Modeling: A Peer Exchange, Transportation Research Board of the National Academy of Sciences, Washington, D.C., 2005. Gliebe, J., O. Cohen, and J.D. Hunt, Dynamic Choice Model of Urban Commercial Activity Patterns of Vehicles and People, Transportation Research Record: Journal of the Transportation Research Board, No. 2003, 2007, pp. 17–26. http://dx.doi.org/10.3141/2003-03. Gottmann, J., Megalopolis. The Urbanized Northeastern Seaboard of the United States, The Twentieth Century Fund, New York, N.Y., 1961. Gottmann, J., and R. Harper, Since Megalopolis: The Urban Writings of Jean Gottmann, The Johns Hopkins University Press, Baltimore and London, 1990. Gunn, H., The Netherlands National Model: a Review of Seven Years of Application, International Transactions in Operational Research, Vol. 1, No. 2, 1994, pp. 125–133. Hagler, Y., Defining U.S. Megaregions, America 2050, New York, N.Y., 2009. Hansen, W.G., How Accessibility Shapes Land Use, Journal of the American Institute of Planners, Vol. 25, 1959, pp. 73–76. Holguín-Veras, J., and E. Thorson, Modeling Commercial Vehicle Empty Trips With a First Order Trip Chain Model, Transportation Research Part B—Methodological, Vol. 37, No. 2, 2003, pp. 129–148. Holguín-Veras, J., E. Thorson, Q. Wang, N. Xu, C. González-Calderón, I. Sánchez-Díaz, and J. Mitchell, Urban Freight Tour Models: State of the Art and Practice, M. Ben-Akiva, H. Meersman, and E. van de Voorde, Eds., Freight Transport Modelling, Emerald Group, Bingley, U.K., 2013, pp. 335–351. Holian, M., and R. McLaughlin, Benefit-Cost Analysis for Transportation Planning and Public Policy: Toward Multimodal Demand Modeling, Report CA-MTI-16-1203, California Depart- ment of Transportation, Sacramento, 2016 [Online]. Available: http://bit.ly/2bYJ0Zj [accessed Aug. 25, 2016]. Hoover, E., and F. Giarrantani, Introduction to Regional Economics, 3rd ed., Knopf, New York, N.Y., 1995. Horowitz, A., NCHRP Synthesis 358: Statewide Travel Forecasting Models, Transportation Research Board of the National Academies, Washington, D.C., 2006. Hunt, J.D., and J.E. Abraham, Design and Implementation of PECAS: A Generalized System for the Allocation of Economic Production, Exchange and Consumption Quantities, In Integrated Land Use and Transportation Models: Behavioural Foundations, M. Lee-Gosselin and S. Doherty, eds., Vol. 205, Elsevier, Amsterdam, the Netherlands, 2005, pp. 253–274. Hunt, J.D., and K.J. Stefan, Tour-based Microsimulation of Urban Commercial Movements, Trans- portation Research, Vol. 41A, No. 9, 2007, pp. 981–1013. Issac, L., Driving Toward Driverless: A Guide for Government Agencies, 2016 [Online]. Available: http://bit.ly/1TIqqnC [accessed July 15, 2016]. Kressner, J.D., G.S. Macfarlane, L. Huntsinger, and R. Donnelly. Using Passive Data to Build an Agile Tour-Based Model: A Case Study in Asheville. Presented at the TRB Innovations in Travel Modeling—2016 Conference, Denver, CO., 2016. http://bit.ly/1XX3Ki7. Kunzmann, K., La ‘Banane blue’ est morte! Vive la ‘Grappe européenne’! In 13 Conseil General des Ponts et Chaussées, Bureau de la Communication, Eds., Les Cahier 14 Du Conseil, Espace Europeen & Politique Française des Transports, Feb. 2, 2001, pp. 38–41. Lösch, A., The Economics of Location, Yale University Press, New Haven, Conn., 1954. Lowry, I., A Model of Metropolis, Memorandum RM-4035-RC, Rand Corporation, Santa Monica, Calif., 1964. MacKenzie, J.J., R.C. Dower, and D.D.T. Chen, THE GOING RATE: What it Really Costs to Drive, World Resources Institute, Washington, D.C., 1992.

102 McCarthy, B., LIFT: INFORUM’s Model for the U.S. Economy, Economics Systems Research, Vol. 3, No. 1, 1991, pp. 15–36. McKinnon, A., Life Without Trucks: The Impact of a Temporary Disruption of Road Freight Trans- port on a National Economy, Journal of Business Logistics, Vol. 27, No. 2, 2006, pp. 227–250. Meyer, M., C. Cummings, and S. Brown, NCRRP Report 5: Developing Multi-State Institutions to Implement Intercity Passenger Rail Programs, Pre-Publication Draft, Transportation Research Board of the National Academies, Washington, D.C., 2015. Miller, E., The Trouble with Intercity Travel Demand Models, Transportation Research Record: Journal of the Transportation Research Board, No. 1895, 2004, pp. 94–101. http://dx.doi.org/10.3141/1895-13. Moeckel, R., and R. Donnelly, Gradual Rasterization: Redefining Spatial Resolution in Transport Modeling, Environment and Planning B: Planning and Design, Vol. 42, No. 5, 2015, pp. 888–903. Moeckel, R., and R. Donnelly, Nationwide Estimate of Long-Distance Travel (NELDT). Generating External Trips for Local Travel Demand Models, Annual Meeting of the Transportation Research Forum, Long Beach, Calif., 2011. Moeckel, R., S. Mishra, F. Ducca, and T. Weidner, Modeling Complex Megaregion Systems: Hori- zontal and Vertical Integration for a Megaregion Model, International Journal of Transportation, Vol. 3, No. 1, 2015, pp. 69–90. Nespoli, M., K. Gunasekera, and I. Hirschman, PRISM: A Customized Application to Measure Economic Impacts of Transportation Infrastructure Investments, Economic Forecasting Review, Vol. 3, No. 1, 2010, pp. 42–47. Nustats, 2010–2012 California Household Travel Survey: Final Report Appendix, 2013 [Online]. Available: http://bit.ly/2c309xm [accessed July 16, 2016]. Nuzzolo, A., and A. Comi, Tactical and Operational City Logistics: Freight Vehicle Flow Model- ling, In Freight Transport Modelling, M. Ben-Akiva, H. Meersman, and E. van de Voorde, Eds., Emerald Group, Bingley, U.K., 2013, pp. 433–451. Ortúzar, J.d.D., and L.G. Willumsen, Modelling Transport, John Wiley & Sons, Chichester, U.K., 2011. Outwater, M., C. Smith, K. Wies, S. Yoder, B. Sana, and J. Chen, Tour Based and Supply Chain Modeling for Freight: Integrated Model Demonstration in Chicago, In Transportation Letters– The International Journal of Transportation Research, Vol. 5, No. 2, 2013, pp. 55–66. Outwater, M.L., M. Bradley, N. Ferdous, C. Bhat, R. Pendyala, S. Hess, A. Daly and J. LaMondia, “A Tour-Based National Model System to Forecast Long-Distance Passenger Travel in the United States,” 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., Jan. 2014. Outwater, M.L., et al., Foundational Knowledge to Support a Long-Distance Passenger Travel Demand Modeling Framework, Final Report, FHWA Exploratory Advanced Research Program, DTFH61-10-R-00036, 2015 [Online]. Available: http://bit.ly/2bCthLZ [accessed Aug. 4, 2016]. Perez, B.G., T. Batac, and P. Vovsha, NCHRP Report 722: Assessing Highway Tolling and Pricing Options and Impacts. Volume 1: Decision-Making Framework, Transportation Research Board of the National Academies, Washington, D.C., 2012. Pinjari, A.R., et al., Using Truck Fleet Data in Combination with Other Data Sources for Freight Modeling and Planning, Florida DOT Report BDK84-977-20, 2014 [Online]. Available: http:// bit.ly/2bztges [accessed July 25, 2016]. Polenske, K., Interregional Analysis of U.S. Commodity Freight Shipments, Technical Report SP-389, Society of Automotive Engineers, New York, N.Y., 1974. Polenske, K., “Multiregional Interactions Between Energy and Transportation,” in Advances in Input- Output Analysis, K. Polenske and J. Skolka, Eds., Ballinger Publishing Company, Cambridge, Mass., 1975, pp. 433–460. Regional Plan Association (RPA), America 2050: A Prospectus, RPA, New York, N.Y., 2006 [Online]. Available: http://www.america2050.org/. Richardson, H., Regional Economics, University of Illinois Press, Urbana, 1978. Roorda, M., Data Collection Strategies for Benchmarking Urban Goods Movement Across Canada, Transportation Letters, Vol. 3, 2011, pp. 175–199. Ross, C.L., Megaregions: Planning for Global Competitiveness, Island Press, Washington, D.C., 2009. Ross, C., W.M. Woo, J. Barringer, H. West, and J. Harbour Doyle, Identifying Megaregions in the U.S.: Implications for Infrastructure Investment, Center for Quality Growth and Regional Development, Atlanta, Ga., 2008.

103 Ross, C., and M. Woo, Identifying Megaregions in the United States: Implications for Infrastructure Investment, In Megaregions: Planning for Global Competitiveness, C. Ross, Ed., Island Press, Washington, D.C., 2009a. Ross, C., and M. Woo, Megaregions: Delineating Existing and Emerging Megaregions, Center for Quality Growth and Regional Development, Georgia Institute of Technology, prepared for the U.S. Department of Transportation, Federal Highway Administration, Washington, D.C., 2009b. Schiffer, R.G., NCHRP Report 735: Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models, Transportation Research Board of the National Academies, Washington, D.C., 2012. Sharman, B., and M. Roorda, Analysis of Freight Global Positioning System Data, Transportation Research Record: Journal of the Transportation Research Board, No. 2246, 2011, pp. 83–91. http://scholar.google.com. . .orda&publication_year=2011. Small, K.A., C. Winston, and C.A. Evans, Road Work. A New Highway Pricing and Investment Policy, The Brookings Institution, Washington, D.C., 1989. Spiekermann, K., and M. Wegener, Freedom from the Tyranny of Zones: Toward New GIS-Based Spatial Models, In Spatial Models and GIS: New Potential and New Models, A.S. Fotheringham and M. Wegener, eds., Taylor and Francis, Abingdon, U.K., 1999, pp. 45–61. Sorratini, J.A., Estimating Statewide Truck Trips Using Commodity Flows and Input-Output Coefficients, Journal of Transportation Statistics, Vol. 3, No. 1, 2002, pp. 53–68. Steer Davies Gleave, HSIPR Best Practices: Public Benefits Assessment, prepared for the Office of Inspector General, U.S.DOT, Washington, D.C., 2011 [Online]. Available: https://trid.trb.org/ view.aspx?id=1247547 [accessed April 12, 2016]. Stopher, P. and S.P. Greaves, Household Travel Surveys: Where Are We Going? Transportation Research Part A, Vol. 41, No. 5, 2007, pp. 367–381. Stouffer, S.A., Intervening Opportunities: A Theory Relating Mobility and Distance, American Socio- logical Review, Vol. 5, No. 6, 1940, pp. 845–867. United States Census Bureau (USCB), North American Industry Classification System, 2016 [Online]. Available: http://www.census.gov/eos/www/naics/ [accessed July 25, 2016]. United States Department of Transportation (U.S.DOT), New Department of Transportation Report on Highway, Transit Conditions Points to Need for More Investment, U.S.DOT, Washington, D.C., 2014 [Online]. Available: http://bit.ly/2bCtvTl [accessed July 25, 2016]. Waddell, P., UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environ- mental Planning, Journal of the American Planning Association, Vol. 68, No. 3, 2002, pp. 297–314. Wegener, M., Operational Urban Models, Journal of the American Planning Association, Vol. 60, No. 1, 1994, pp. 17–29. Wegener, M., “ASI Model Description, Working Paper 08/01, Spiekermann & Wegener, Urban and Regional Research. Dortmund, Germany, Aug. 2008 [Online]. Available: http://spiekermann- wegener.de/mod/pdf/AP_0801.pdf [accessed on June 5, 2016]. Xu, J., K. Hancock, and F. Southworth, Simulation of Regional Freight Movement with Trade and Transportation Multinetworks,” Transportation Research Record: Journal of the Transportation Research Board, No. 1854, 2003, pp. 152–161. http://dx.doi.org/10.3141/1854-17. You, S.I., Methodology for Tour-Based Truck Demand Modeling, Doctor of Philosophy, University of California at Irvine, 2012. Zhang, Z., K. Spansel, and B. Wolshon, Megaregion Network Simulation for Evacuation Analysis, Transportation Research Record: Journal of the Transportation Research Board, No. 2397, 2013, pp. 161–170. http://dx.doi.org/10.3141/2397-19. Ziemke, D., K. Nagel, and R. Moeckel, Toward an Agent-based, Integrated Land use Transport Modeling System, Procedia Computer Science, Vol. 83, 2016, pp. 958–963. Zmud, J., C.T. Lawson, and A. Pisarski, NCFRP Report 29: Making Trucks Count: Innovative Strat- egies for Obtaining Comprehensive Truck Activity Data, Transportation Research Board of the National Academies, Washington, D.C., 2014.

Next: Appendix A - Survey Questionnaire »
Statewide and Megaregional Travel Forecasting Models: Freight and Passenger Get This Book
×
 Statewide and Megaregional Travel Forecasting Models: Freight and Passenger
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 514: Statewide and Megaregional Travel Forecasting Models: Freight and Passenger documents current practices and emerging trends with travel forecasting models. The report explores the motivation for and capabilities of statewide and megaregion models, options for extending them and challenges states face doing so, data requirements, how they are used and integrated with other models, institutional constraints, and emerging trends and methods. Several related issues were investigated as well, including performance monitoring, alternative forecasting approaches, and how states are addressing hot topics such as pricing and congestion, multi-state corridors, and new transportation modes.

READ FREE ONLINE

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  6. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  7. ×

    View our suggested citation for this chapter.

    « Back Next »
  8. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!