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Title:
USING A TRADITIONAL TRAVEL DEMAND FORECASTING MODEL TO PERFORM VARIABLE PRICING ANALYSIS
Accession Number:
00939808
Availability:
Transportation Research Board Business Office
500 Fifth Street, NW
Washington, DC 20001 United States
Abstract:
In recent years variable pricing has become an increasingly popular policy scenario for addressing traffic congestion problems in many cities worldwide. As a result, policy makers are increasingly requesting that travel demand forecasting models perform variable pricing analysis. This paper discusses the methodology and techniques used by Baltimore Metropolitan Council (BMC) staff to perform variable pricing analysis for the Maryland Department of Transportation's Variable Pricing Study. The modeling analysis was performed using the Baltimore Region Travel Demand Model within the framework of the TP+/VIPER software. This is the traditional four-step model maintained by BMC staff which is used for air quality conformity analysis, corridor studies, and long range planning in the Baltimore Region. The variable pricing scenarios requested for modeling evaluation by the study included both point and distance based tolls and High Occupancy Toll lanes. BMC staff developed a methodology to model both types of tolls within the existing model framework. BMC staff also developed new methods for displaying model results showing route shift and traffic quality between different scenarios. This paper focuses on the techniques used to perform the modeling analysis for the Maryland Department of Transportation Variable Pricing Study and discusses the benefits and limitations of using a traditional travel demand forecasting model in such an application.
Supplemental Notes:
The CD-ROM contains the proceedings of the sixth, seventh and eighth conferences. The eighth conference proceedings were published in October 2001.
Corporate Authors:
Transportation Research Board
500 Fifth Street, NW
Washington, DC 20001 United States
Features:
Figures
(4)
; Tables
(2)
Subject Areas:
Highways; Planning and Forecasting; I72: Traffic and Transport Planning
Created Date:
Mar 21 2003 12:00AM
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