1. Introduction: What is regional/urban transportation planning?
Key topics 1: transportation planning process; what is urban transportation planning
Materials:
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001.
o Jeff Kramer, Review of MPO Long Range Transportation Plans and Regional MPO Planning Activities and Products, Center for Urban Transportation Research (USF), August 2005, Tampa, FL.
o 2007 Annual Urban Mobility Report. Texas Transportation Institute, Texas A&M University. Website: http://mobility.tamu.edu/
o Freight Model: http://www.fmip.gov/index.htm
2. Travel Survey
Materials:
o National Household Travel Survey (NHTS). http://www.surveyarchive.org/archive.html
o Metropolitan Travel Survey Archive. http://www.surveyarchive.org/links.html
3. Trip Generation
Key topics: Linear Regression, Cross Classification. Socio-economic factors affecting trip production and trip attraction. TAZ.
Materials:
o Ortuzar, J. D. and Willumsen, L. G. Modelling Transport, Wiley, 2003.
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001.
o Luis, E. D., Mike, N. Development of a Lifestyle Trip Generation Model for Volusia County, FL, USA. ITE Journal, May 2004, 74, 5, pg. 34~38.
o Cambridge Systematics, Inc. A Recommended Approach to Delineating Traffic Analysis Zones in Florida, September 27, 2007. Tallahassee, Florida.
4. Trip Distribution
Key topics: Growth factor model, Gravity model
Materials:
o Ortuzar, J. D. and Willumsen, L. G. Modelling Transport, Wiley, 2003.
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001.
o Easa, S. M. 1993. Urban Trip Distribution in Practice. I: Conventional Analysis. Volume 119, Issue 6, pp. 793-938. 1993.
o Easa, S. M. 1993. Urban Trip Distribution in Practice. II: Quick Response and Special Topics. Volume 119, Issue 6, pp. 816-834. 1993.
o Documentation and procedural updates to the Florida standard urban transportation model structure (FSUTMS), Final Technical Report No. 6. FSUTMS Trip Distribution Model (DISTRIB). FDOT Central Office, Systems Planning, 1997.
o Deakin, E., and G. Harvey. 1994. A Manual of Regional Transportation Modeling Practice for Air Quality Analysis, Chapter 3. National Association of Regional Councils, Washington, D.C. tmip.fhwa.dot.gov/clearinghouse/docs/airquality/mrtm/ch3.stm. (Destination-choice models).
o Stouffer, S. Intervening Opportunities: A Theory Relating Mobility and Distance. American Sociological Review, Vol. 5, No. 6 (Dec., 1940), pp. 845-867. (Intervening Opportunity Model)
Questions:
o F-factor calibration if it is continuous.
5. Modal Split
Key topics: Utility Choice Theory; Disaggregate Choice Model (Logit, Probit, Nested models).
Materials:
o Koppelman, F. and C. Bhat. A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models. 2006.
o Beimborn, E., Kennedy, R., Schaefer, W. Inside the Blackbox: Making Transportation Models Work For Livable Communities. The Environmental Defense Fund, Washington, D.C. (Overall introduction)
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001. (Trip-End; Trip-Interchange)
o Cambridge Systematics, Inc. FSUTMS-Cube Framework Phase I Default Model Parameters, Florida Department of Transportation Systems Planning Office, 2006.
o Documentation and procedural updates to the Florida standard urban transportation model structure (FSUTMS), Final Technical Report No. 7. FSUTMS Mode Choice Model (MODE). FDOT Central Office, Systems Planning, 1997.
o Train, K., 2003. Discrete Choice Methods with Simulation. Cambridge University Press.
o McFadden, D. Economic Choices, The American Economic Review, Vol. 91, No. 3 (Jun., 2001), pp. 351-378.
o Abdel-Aty, M. and Abdelwahab, H. Calibration of Nested-Logit Mode-Choice Models for Florida, University of Central Florida, 2001.
o Ben-Akiva, M. and Lerman, S. R. Discrete Choice Analysis: Theory and Application to Travel Demand, Massachusetts Institute of Technology, 1985.
o Ortuzar, J. D. and Willumsen, L. G. Modelling Transport, Wiley, 2003.
6. Trip Assignment
Key topics: All-or-nothing, Iterative, User Equilibrium, Stochastic
Materials:
Overall Discussion:
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001.
o Easa, S. M. 1991. Trip Assignment in Practice: Overview and Guideline for Users. Volume 117, No. 6, pp. 602-623. 1991.
o Ortuzar, J. D. and Willumsen, L. G. Modelling Transport, Wiley, 2003.
o Documentation and Procedural Updates to the Florida Standard Urban Transportation Model Structure (FSUTMS): Final Technical Report No. 8 FSUTMS Highway Trip Assignment Model (HASSIGN). Florida Department of Transportation, Central Office, Systems Planning, October 1997
Optimal Assignment
o David Boyce. 2007. Urban Travel Forecasting: Class note. Chapter 1.
Dynamic Assignment
o Wie, B., R. L. Tobin, D. Bernstein, T. L. Friesz. A comparison of system optimum and user equilibrium dynamic traffic assignments with schedule delays. Transportation Research Part C: Emerging Technologies, Volume 3, Issue 6, December 1995, Pages 389-411.
o Lee, D., Boyce, D. E., Janson, B. N. Analytical Dynamic Traffic Assignment Models: Features and Solution Experience, UCI-ITS-TS-WP-98-6, July 1998, Institute of Transportation Studies, University of California, Irvine.
o Mahmassani, H.S., “Dynamic Traffic Simulation and Assignment: Models, Algorithms, and Applications to ATIS/ATMS Evaluation and Operation,” Proceedings of the Balatonfured Conference, Baltonfured, Hungary, February 1998.
o Miaou, S-P, M. S. Summers, H. C. Lieu (1999) Laboratory Evaluation of Real-Time Dynamic Traffic Assignment Systems, Computer-Aided Civil and Infrastructure Engineering 14 (4), 281–298.
7. Summary of Four-Step Models
Key topics: strength and weakness of four-step models; case study;
Strength and Weakness:
o Beimborn, E., Kennedy, R., Schaefer, W. Inside the Blackbox: Making Transportation Models Work For Livable Communities. The Environmental Defense Fund, Washington, D.C. (Overall introduction)
o TRB. Metropolitan Travel Forecasting: Current Practice and Future Direction -- Special Report 288, TRB Committee for Determination of the State of the Practice in Metropolitan Area Travel Forecasting. Washington, D.C. 2007.
o Oppenheim, N. Urban Travel Demand Modeling: From Individual Choices to General Equilibrium, John Wiley and Sons, Inc., 1995. (page 19)
o McNally, M. G. The Four Step Model. Draft. (good example of four step models).
o Flyvbjerg, B., M. S. Holm, and S. Buhl. 2006. Inaccuracy in Traffic Forecasts. Transport Reviews, Vol. 26, No. 1.
o Wachs, M. 2001. Forecasting Versus Envisioning: A New Window on the Future. Journal of the American Planning Association, Vol. 67, No. 4.
8. Case Study
Key topics: Florida, Central Florida, Orlando (3 levels); Maryland DOT, Meyer and Miller page 11: transportation demand management; Albany, New York, page 12: arterial road corridor, access management; Denver, land-use and pricing
o Year 2025 Long Range Transportation Plan Executive Summary, Orlando MPO.
o 2025 Florida Transportation Plan, FDOT.
o Melbourne 2030: Planning for sustainable growth, October 2002. Melbourne Department of Infrastructure
9. Activity-based model
Key topics: The methodology and application of activity-based travel demand modeling
Materials:
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001.
o McNally,MG (2000). Activity-based Approaches, from Hensher,DA and Button,K (eds) Transport Modeling, Pergamon, Elsevier Science, Ltd., 53-69.
o Pendyala, R. M., Kitamura, R., Kikuchi, A. Presented: “Progress in Activity-Based Analysis”Vaeshartelt Castle, Maastricht, The Netherlands, May 28-31, 2004
o Bhat, C., S. Srinivasan, J. Y. Guo. Activity-Based Travel-Demand Analysis for Metropolitan Areas in Texas: Data Sources, Sample Formation, and Estimation Results. FHWA/TX-03/4080-3, 2002.
o TRB. Metropolitan Travel Forecasting: Current Practice and Future Direction -- Special Report 288, TRB Committee for Determination of the State of the Practice in Metropolitan Area Travel Forecasting. Washington, D.C. 2007.
o Algers1, S., J. Eliasson, and L-G Mattsson. Activity-based model development to support transport planning in the Stockholm region. Presented at the 5th Workshop of the TLE Network, Nynäshamn, September 28-30, 2001.
o TRansportation ANalysis and SIMulation System (TRANSIMS).
o Miller, E. J., M. J. Roorda, J. A. Carrasco. A tour-based model of travel mode choice. Transportation, Volume 32, Number 4 / July, 2005, page 399-422. (tour-based model)
10. Transportation-Land Use Interaction
Key topics: Land use forecasting model; Assessment of major transportation facilities on land use patterns; Transportation-Land Use Interaction; The Geography of Urban Transportation
Materials:
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001.
o Hanson, S. and Giuliano, G. The Geography of Urban Transportation (3rd Edition), Guilford Press, 2004.
o Burden, D. (2001, January). Building communities with transportation. Distinguished Lecture Presentation given at the annual meeting of the Transportation Research Board. (Burden_trbpaper.pdf)
o Krizek, K. and D. Levinson. Teaching Integrated Land Use-Transportation Planning. Journal of Planning Education and Research, Vol. 24, No. 3, 304-316 (2005).
11. Transit Oriented Development (TOD)
Key topics: Transportation planning strategies. What is TOD? Case study.
Materials:
o Cervero, R. The Transit Metropolis: A Global Inquiry, Island Press, 1998.
o Transit-Oriented Development and Joint Development in the United States: A Literature Review. gulliver.trb.org/publications/tcrp/tcrp_rrd_52.pdf.
o Statewide Transit-Oriented Development Study Factors for Success in California. California Department of Transportation. 2002.9.
o Currie, G. Strengths and Weakness of Bus in Relation to Transit Oriented Development, Monash University.
o Transit and Transit Oriented Development, An Issue Paper of the American Planning Association, Hawaii Chapter. 2007.
o Statewide Transit-Oriented Development Study: Factors for Success in California, Executive Summary, California Department of Transportation
o Robert Cervero (with many others). 2004. TCRP REPORT 102: Transit-Oriented Development in the United States: Experiences, Challenges, and Prospects.
o TCRP Report 116: Guidebook for Evaluating, Selecting, and Implementing Suburban Transit Services. 2006.
12. Transportation Safety Planning
Materials:
o Meyer, M.D. and Miller, E.J., Urban Transportation Planning: A Decision-Oriented Approach, McGraw-Hill, New York, 2000.
o 2025 Florida Transportation Plan, FDOT.
o Washington, S., Schalkwyk, I. V., Mitra, S., Meyer, M., Dumbaugh, E. 2006. Incorporation Safety into Long-Range Transportation Planning. NCHRP Report 546.
o Kramer, J. 2005. Review of MPO Long Range Transportation Plans and Regional MPO Planning Activities and Products. The Center for Urban Transportation Research, University of South Florida, August 2005.
o WHO (2004) World Report on Road Traffic Injury Prevention. Eds. Peden et al. World Health Organization, Geneva.
o FHWA. 2007. Transportation Planner’s Safety Desk Reference (Report No. FHWA-HEP-07-005).
o AASHTO Strategic Highway Safety Plan.
o ITE. 1999. The Traffic Safety Toolbox, A Promer on Traffic Safety.
o Ng, K-S., Hung, W-T., and Wong, W.-G., 2002. An algorithm for assessing the risk of traffic accident. Journal of Safety Research, Volume 33, Issue 3, 1 October 2002, Pages 387-410.
o Lord, D. and Persaud, B. N., 2004. Estimating the safety performance of urban road transportation networks. Accident Analysis & Prevention, Volume 36, Issue 4, Pages 609-620.
13. Evaluation
Key topics: Transportation planning assessment
Materials:
o Sinha, K. and S. Labi. Transportation Decision Making: Principles of Project Evaluation and Programming, 2007, John Wiley & Sons, Inc.
o Meyer, M. D. and Miller, E. J. Urban Transportation Planning: A Decision Oriented Approach, McGraw-Hill, 2001.
o Environmental Protection Agency (EPA). MOBILE emissions model. http://www.epa.gov/OMS/m6.htm (Emissions Calculations).
o California’s EMFAC model. http://www.dot.ca.gov/hq/env/air/pages/emfac.htm (Emissions Calculations).
14. Freight Movement
15. Application Workshops
o How to develop four-step models using Cube? Model validation and evaluation. Example: Central Florida Model (or Tampa Bay Model). (Florida Standard Urban Transportation Model Structure) FSUTMS.
Guest Speaker: Chunyu Lu
Project Manager
Gannett Fleming, Inc.
Tampa, Florida
Tentative Date: July 22, 2008. 10:30 am–12:20 pm.
(Feeds students are encouraged to attend.)
o Application of simulation model for transportation decision making at different levels: site impact; corridor study; MPO; region.
Guest Speaker: Jon V. Weiss, P.E.
Growth Management Supervisor
FDOT Orlando Urban Office
Tentative Date: July 24, 2008. 10:30 am–12:20 pm.
(Feeds students are encouraged to attend.)