Travel Demand Forecasting: Parameters and Techniques (2012)

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.

114 AASHTO (2011). Census Transportation Planning Products. ctpp. transportation.org (As of July 9, 2011.) Alliance Transportation Group, Inc. and Cambridge Systematics, Inc. (2010). Texas Department of Transportation Statewide Analysis Model (Second Version): Freight Distribution, Task 8.4.2, Technical Memorandum prepared for Texas Department of Transportation. Ben-Akiva, M. and S. Lerman (1985). Discrete Choice Analysis, MIT Press, Cambridge, Massachusetts. Bhat, C. R. (2004). Austin Commuter Survey: Findings and Recommenda­ tions, Technical Report, University of Texas at Austin. http://www. ce.utexas.edu/prof/bhat/REPORTS/Austin_commuter_survey_ report.doc (As of July 9, 2011.) Cambridge Systematics, Inc. (1997a). Time­of­Day Modeling Proce­ dures: State­of­the­Art, State­of­the­Practice, prepared for Federal Highway Administration, Washington, D.C. p. ES-3. Cambridge Systematics, Inc. (1997b). Vehicle Availability Modeling, Volume 1, prepared for Federal Highway Administration, Wash- ington, D.C. http://tmip.fhwa.dot.gov/resources/clearinghouse/ docs/surveys/vam/ (As of July 7, 2011.) Cambridge Systematics, Inc. (2000). A Sampling of Emissions Analysis Techniques for Transportation Control Measures, prepared for Federal Highway Administration, Washington, D.C. http://www. fhwa.dot.gov/environment/air_quality/conformity/research/ transportation_control_measures/emissions_analysis_techniques/ (As of July 7, 2011.) Cambridge Systematics, Inc. (2002). SEMCOG Travel Model Docu­ mentation, Table 6.3, prepared for Southeast Michigan Council of Governments. Cambridge Systematics, Inc. (2007a). FSUTMS­Cube Framework Phase II, Model Calibration and Validation Standards: Model Validation Guidelines and Standards, prepared for the Florida Department of Transportation Systems Planning Office. Cambridge Systematics, Inc. (2007b). Quick Response Freight Manual II, Publication No. FHWA-HOP-08-010, Federal Highway Administra- tion. http://ops.fhwa.dot.gov/freight/publications/qrfm2/qrfm.pdf (As of July 7, 2011.) Cambridge Systematics, Inc. (2008a). “SCAG Heavy-Duty Truck Model Update,” Southern California Council of Governments. Cambridge Systematics, Inc. (2008b). “Travel Model Validation Practices Peer Exchange White Paper,” prepared for Travel Model Improvement Program, Federal Highway Administration, Wash- ington, D.C. http://tmip.fhwa.dot.gov/resources/clearinghouse/ browse/list/6/1285 (As of July 7, 2011.) Cambridge Systematics, Inc. (2010a). “Final Report: Validation and Sensitivity Considerations for Statewide Models,” Contractor’s final report, NCHRP Project 8-36B, Task 91, Tallahassee, Florida. http://144.171.11.40/cmsfeed/TRBNetProjectDisplay.asp?Project ID=2638 (As of July 7, 2011.) Cambridge Systematics, Inc. (2010b). Travel Model Validation and Rea­ sonableness Checking Manual, Second Edition, prepared for Travel Model Improvement Program, Federal Highway Administration, Washington, D.C. http://tmip.fhwa.dot.gov/resources/clearing house/1397 (As of July 7, 2011.) Cambridge Systematics, Inc. and AECOM Consult (2007). “A Recom- mended Approach to Delineating Traffic Analysis Zones in Florida,” Final Draft Report. http://www.fsutmsonline.net////FDOT_TAZ_ White_Paper.pdf (As of December 7, 2009.) Cambridge Systematics, Inc., COMSIS Corporation, and University of Wisconsin-Milwaukee (1996). Quick Response Freight Manual, pre- pared for Federal Highway Administration, Office of Planning and Environment, Technical Support Services for Planning Research. Cambridge Systematics, Inc. and Geostats, LLP (2010). NCFRP Report 8: Freight­Demand Modeling to Support Public­Sector Decision Mak­ ing, Transportation Research Board of the National Academies, Washington, D.C. http://onlinepubs.trb.org/onlinepubs/ncfrp/ ncfrp_rpt_008.pdf. (As of July 7, 2011.) Cambridge Systematics, Inc. and National Academy of Sciences (2009). SHRP 2 Project C10 community website. http://www.shrp2c10. org/SHRPC10Portal/Home.aspx (As of September 22, 2011). Committee for Determination of the State of the Practice in Metro- politan Area Travel Forecasting (2007). Special Report 288: Metro­ politan Travel Forecasting—Current Practice and Future Direction, Transportation Research Board of the National Academies, Washington, D.C. http://onlinepubs.trb.org/onlinepubs/sr/sr288.pdf (As of July 9, 2011.) Davidson, W., R. Donnelly, P. Vovsha, J. Freedman, S. Ruegg, J. Hicks, J. Castiglione, and R. Picado (2007). “Synthesis of first practices and operational research approaches in activity-based travel demand modeling,” Transportation Research Part A, 41(5), pp. 464–488. Ducca, F., B. Woodford, and B. Davidson (2008). Shining a Light Inside the Black Box webinar series, Travel Model Improvement Program. http:// tmip.fhwa.dot.gov/sites/tmip.fhwa.dot.gov/files/presentation_ bb1.pdf, http://tmip.fhwa.dot.gov/sites/tmip.fhwa.dot.gov/files/ presentation_bb2.pdf, http://tmip.fhwa.dot.gov/sites/tmip.fhwa.dot. gov/files/presentation_bb3.pdf, and http://tmip.fhwa.dot.gov/sites/ tmip.fhwa.dot.gov/files/presentation_bb4.pdf (As of July 7, 2011.) References

115 Eluru, N., A. R. Pinjari, J. Y. Guo, I. N. Sener, S. Srinivasan, R. B. Copperman, and C. R. Bhat (2008). “Population Updating Sys- tem Structures and Models Embedded in the Comprehensive Econometric Microsimulator for Urban Systems,” Transportation Research Record 2076, pp. 171–182. Evans, S. P. (1976). “Derivation and Analysis of Some Models for Combining Trip Distribution and Assignment,” Transportation Research, Vol. 10, Pergamon Press, Great Britain, pp. 37–57. Federal Highway Administration (2002). “Introduction to Travel Demand Forecasting Self Instructional CD-ROM,” Washington, D.C. Federal Highway Administration (2008). “Introduction to Urban Travel Demand Forecasting,” Course FHWA-NHI-152054, Wash- ington, D.C. Federal Highway Administration (2009a). “Development of a Comput- erized Method to Subdivide the FAF2 Regional Commodity OD Data to County-Level OD Data.” Federal Highway Administration (2009b). “Planning and Asset Manage- ment,” FHWA Asset Management Position Paper. www.fhwa.dot. gov/infrastructure/asstmgmt/amppplan.cfm (As of April 30, 2009.) Federal Highway Administration and Urban Mass Transit Administra- tion (1977). An Introduction to Urban Travel Demand Forecasting— A Self Instructional Text, Washington, D.C. http://ntl.bts.gov// UT.html (As of July 7, 2011.) Federal Transit Administration (1992). Characteristics of Urban Trans­ portation Systems (7th revision), Washington, D.C. Federal Transit Administration (2006). “Travel Forecasting for New Starts,” Travel Forecasting for New Starts Proposals, A Workshop Sponsored by the Federal Transit Administration, Minneapolis, Minnesota. Fischer, M. J. and M. Han (2001). NCHRP Synthesis of Highway Practice 298: Truck Trip Generation Data, Transportation Research Board of the National Academies, Washington, D.C. Frank, M. and P. Wolfe (1956). “An Algorithm for Quadratic Program- ming,” Naval Research Logistics Quarterly, 3, pp. 95–110. Goulias, K. G. and R. Kitamura (1996). “A Dynamic Model System for Regional Travel Demand Forecasting,” in Panels for Transportation Planning: Methods and Applications, Eds. Golob, T., R. Kitamura, and L. Long, Kluwer Academic Publishers, Boston, Ch. 13, pp. 321–348. Gribble, S. (2000). “LifePaths: A Longitudinal Microsimulation Model Using a Synthetic Approach,” in Microsimulation in Government Policy and Forecasting, Eds. Gupta, A., and V. Kapur, Elsevier, Amsterdam & New York, Ch. 19. Horowitz, A. J. (1991). “Delay-Volume Relations for Travel Forecasting: Based on the 1985 Highway Capacity Manual,” prepared for the Federal Highway Administration. ICF International (2008). “Integrating Climate Change into the Transportation Planning Process,” prepared for Federal Highway Administration. http://www.fhwa.dot.gov/hep/climatechange/ climatechange.pdf (As of April 30, 2009.) John A. Volpe National Transportation Systems Center (2009). A Guide to Measuring Progress in Linking Transportation Planning and Envi­ ronmental Analysis, prepared for Federal Highway Administration, Washington, D.C. http://www.environment.fhwa.dot.gov/integ/ meas_progress.asp. (As of July 7, 2011.) Kittelson & Associates, Inc., Urbitran, Inc., LKC Consulting Services, Inc., MORPACE International, Inc., Queensland University of Tech- nology, and Y. Nakanishi (2003). TCRP Report 88: A Guidebook for Developing a Transit Performance­Measurement System. Transporta- tion Research Board of the National Academies, Washington, D.C. Koppelman, F. S. and C. Bhat (2006). A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models, prepared for U.S. Department of Transportation, Federal Transit Administration. Kurth, D. L., A. van den Hout, and B. Ives (1996). “Implementation of Highway Capacity Manual Based Volume-Delay Functions in a Regional Traffic Assignment Process,” presented at 75th Annual Meeting of Transportation Research Board. Kurth, D. (2011). “Income-Based Trip Attraction Modeling,” Memoran- dum to Liyang Feng, Southeast Michigan Council of Governments. Kuzmyak, J. R. (2008). NCHRP Synthesis of Highway Practice 384: Fore­ casting Metropolitan Commercial and Freight Travel, Transportation Research Board of the National Academies, Washington, D.C. Lin, D-Y., N. Eluru, S. T. Waller, and C. R. Bhat (2008). “Integration of Activity-Based Modeling and Dynamic Traffic Assignment,” Transportation Research Record 2076, pp. 52–61. Martin, W. A. and N. A. McGuckin (1998). NCHRP Report 365: Travel Estimation Techniques for Urban Planning, Transportation Research Board of the National Academies, Washington, D.C. Milone, R., H. Humeida, M. Moran, and M. Seifu (2008). “TPB Travel Forecasting Model, Version 2.2 Specification, Validation, and User’s Guide,” National Capital Region Transportation Planning Board, Washington, D.C. http://www.mwcog.org/uploads/committee- documents/kl5fWlle20080303164551.pdf (As of April 30, 2009.) Modlin, D. G. Jr. (1982). “Synthesized Through-Trip Table for Small Urban Areas,” Transportation Research Record 842, pp. 16–21. Morrison, R. (1998). “Overview of DYNACAN—a full-fledged Canadian actuarial stochastic model designed for the fiscal and policy analysis of social security schemes.” Slightly adapted by B. Dussault (2000). www.actuaries.org/CTTEES_SOCSEC/Documents/dynacan.pdf (As of July 9, 2011.) Murakami, E. (2007). “Longitudinal Employment and Household Dynamics (LEHD): Understanding LEHD and Synthetic Home to Work Flows in ‘ON THE MAP,’ ” Federal Highway Adminis- tration. http://www.fhwa.dot.gov/planning/census_issues/lehd/ lehdonthemap.cfm (As of May 15, 2011.) Oak Ridge National Laboratory (2010). “The Freight Analysis Frame- work, Version 3: Overview of the FAF3 National Freight Flow Tables,” prepared for Federal Highway Administration, Office of Freight Management and Operations. http://faf.ornl.gov/fafweb/ Data/FAF3ODCMOverview.pdf (As of July 7, 2011.) Oak Ridge National Laboratory (2011). “FAF3 Network Database and Flow Assignment: 2007 and 2040.” http://faf.ornl.gov/fafweb/ networkdata.aspx (As of July 7, 2011.) Ortuzar, Juan de Dios and L. G. Willumsen (2001). Modeling Transport, Fourth Edition, New York: Wiley and Sons. Parsons Brinckerhoff Quade and Douglas, Inc. (1992). “Review of Best Practices,” prepared for the Metropolitan Washington Council of Governments, Washington, D.C. Parsons Brinckerhoff Quade and Douglas, Inc. (1999). NCHRP Report 423A: Land Use Impacts of Transportation: A Guidebook, Transportation Research Board of the National Academies, Wash- ington, D.C. PBS&J (2005). “Tennessee Long-Range Transportation Plan Freight Model.” Pedersen, N. J. and D. R. Samdahl (1982). NCHRP Report 255: High­ way Traffic Data for Urbanized Area Project Planning and Design, Transportation Research Board of the National Academies, Washington, D.C. Pendyala, R. and C. Bhat (2008). “Validation and Assessment of Activity-Based Travel Demand Modeling Systems,” Innovations in Travel Demand Modeling: Summary of a Conference, Volume 2: Papers.

116 Pratt, R. H., Texas Transportation Institute, Jay Evans Consulting LLC, Parsons Brinckerhoff Quade & Douglas, Inc., Cambridge Systemat- ics, Inc., J. Richard Kuzmyak, LLC, SG Associates, Inc., Gallop Cor- poration, McCollom Management Consulting, Inc., H. S. Levinson, and K. T. Analytics, Inc. (various years 2003–2011). TCRP Report 95: Traveler Response to Transportation System Changes, Transportation Research Board of the National Academies, Washington, D.C. Reno, A., R. Kuzmyak, and B. Douglas (2002). TCRP Report 73: Charac­ teristics of Urban Travel Demand. Transportation Research Board of the National Academies, Washington, D.C. Resource Systems Group and the National Academy of Sciences (2010). SHRP2 C10A, Partnership to Develop an Integrated, Advanced Travel Demand Model. shrp2c10a.org. (As of September 22, 2011). Rieser, M. and K. Nagel (2009). “Combined Agent-Based Simulation of Private Car Traffic and Transit,” presented at the 12th International Association of Travel Behavior Research (IATBR) Conference, Jaipur, India. Ryan, J. M. and G. Han (1999). “Vehicle-Ownership Model Using Family Structure and Accessibility Application to Honolulu, Hawaii,” Trans­ portation Research Record 1676, Washington, D.C., pp. 1–10. Salvini, P. A. and E. J. Miller (2005). “ILUTE: An Operational Prototype of a Comprehensive Microsimulation Model of Urban Systems,” Networks and Spatial Economics, 5, pp. 217–234. Shaw, T. (2003). NCHRP Synthesis of Highway Practice 311: Performance Measures of Highway Effectiveness for Highway Systems and Segments, Transportation Research Board of the National Academies, Wash- ington, D.C. Sosslau, A., A. Hassam, M. Carter, and G. Wickstrom (1978). NCHRP Report 187: Quick­Response Urban Travel Estimation Techniques and Transferable Parameters, User’s Guide, Transportation Research Board of the National Academies, Washington, D.C. Strauch, D., R. Moeckel, M. Wegener, J. Gräfe, H. Mühlhans, G. Rindsfüser, and K.-J. Beckmann (2003). “Linking Transport and Land Use Planning: The Microscopic Dynamic Simulation Model ILUMASS,” Proceedings of the 7th International Conference on Geocomputation, Southampton, UK. Sundararajan, A., and K. G. Goulias (2003). “Demographic Micro- simulation with DEMOS 2000: Design, Validation, and Forecasting,” in Transportation Systems Planning: Methods and Applications, Eds. K. G. Goulias, CRC Press, Boca Raton, Ch. 14. Texas Transportation Institute (2010). Urban Mobility Report. mobility. tamu.edu/ums/ (Accessed 2010.) Transportation Research Board (1985). Special Report 209: Highway Capacity Manual, Washington, D.C. Transportation Research Board of the National Academies (2010). Highway Capacity Manual 2010, Washington, D.C. Travel Model Improvement Program (2009). “Technical Synthesis Topic: Feedback Loops.” http://tmip.fhwa.dot.gov/resources/clearing house/docs/tmip/technical_syntheses/2009/august.htm (As of July 9, 2011.) U.S. Census Bureau (2010). American Fact Finder. factfinder.census.gov/ servlet/DatasetMainPageServlet?_program=ACS&_submenuId= &_lang=en&_ts= (As of November 30, 2010.) U.S. Census Bureau (2011a). American Community Survey Public Use Microdata Sample (PUMS). www.census.gov/acs/www/data_ documentation/public_use_microdata_sample/ (As of September 9, 2011.) U.S. Census Bureau (2011b). Longitudinal Employer-Household Dynamics. lehd.did.census.gov/led/ (As of September 9, 2011.) U.S. Department of Transportation (2003). “Revised Department Guidance: Valuation of Travel Time in Economic Analysis,” Wash- ington, D.C. Waddell, P. (2001). “Towards a Behavioral Integration of Land Use and Transportation Modeling,” in D. Hensher, (Ed.), Travel Behavior Research: The Leading Edge. New York: Pergamon, pp. 65–95. Waddell, P., A. Borning, H. Sˇevcˇíková, and D. Socha (2006). “Opus (the Open Platform for Urban Simulation) and UrbanSim 4,” Proceed- ings of the 2006 International Conference on Digital Government Research, San Diego, California. Wardrop, J. G. (1952). “Some Theoretical Aspects of Road Traffic Research,” Proceedings, Institute of Civil Engineers, Part II, Vol. 1, pp. 325–378.