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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.
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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.
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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.
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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.
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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.
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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].

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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.

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