Post-Construction Evaluation of Traffic Forecast Accuracy
AbstractThis research evaluates the accuracy of demand forecasts using a sample of recently-completed projects in Minnesota and identiÞes the factors inßuencing the inaccuracy in forecasts. The forecast traffic data for this study is drawn from Environmental Impact Statements(EIS), Transportation Analysis Reports (TAR) and other forecast reports produced by the Minnesota Department of Transportation (Mn/DOT) with a horizon forecast year of 2010 or earlier. The actual traffic data is compiled from the database of traffic counts maintained by the Office of Traffic Forecasting and Analysis section at Mn/DOT. Based on recent research on forecast accuracy, the (in)accuracy of traffic forecasts is estimated as a ratio of the forecast traffic to the actual traffic. The estimation of forecast (in)accuracy also involves a comparison of the socioeconomic and demographic assumptions, the assumed networks to the actual in-place networks and other travel behavior assumptions that went into generating the traffic forecasts against actual conditions. The analysis indicates a general trend of underestimation in roadway traffic forecasts with factors such as highway type, functional classiÞcation, direction playing an inßuencing role. Roadways with higher volumes and higher functional classiÞcations such as freeways are subject to underestimation compared to lower volume roadways/functional classiÞcations. The comparison of demographic forecasts shows a trend of overestimation while the comparison of travel behavior characteristics indicates a lack of incorporation of fundamental shifts and societal changes.
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Bibliographic InfoPaper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 201005.
Date of creation: 2008
Date of revision:
Publication status: Published in Transport Policy 17 (2010) p. 428-443.
Contact details of provider:
Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
More information through EDIRC
Minnesota; Minneapolis; Travel Demand Model; Transportation Planning; Forecasting;
Other versions of this item:
- Parthasarathi, Pavithra & Levinson, David, 2010. "Post-construction evaluation of traffic forecast accuracy," Transport Policy, Elsevier, vol. 17(6), pages 428-443, November.
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems - - - Transportation: Demand, Supply, and Congestion
- R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems - - - Government Pricing and Policy
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-08-14 (All new papers)
- NEP-FOR-2008-08-14 (Forecasting)
- NEP-GEO-2008-08-14 (Economic Geography)
- NEP-PPM-2008-08-14 (Project, Program & Portfolio Management)
- NEP-URE-2008-08-14 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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"Accuracy of congestion pricing forecasts,"
Working papers in Transport Economics
2012:31, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
- Eliasson, Jonas & Börjesson, Maria & van Amelsfort, Dirk & Brundell-Freij, Karin & Engelson, Leonid, 2013. "Accuracy of congestion pricing forecasts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 34-46.
- Börjesson, Maria & Eliasson, Jonas & Lundberg, Mattias, 2012. "Is CBA ranking of transport investments robust?," Working papers in Transport Economics 2012:30, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Levinson).
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