Toll Road Traffic and Revenue Forecasts


Book Description

Toll roads, bridges and tunnels represent the most popular class of infrastructure attracting international private finance today. Many deals, however, expose financiers, insurers and other project counterparties to demand risk. This moves traffic and revenue forecasts centre-stage in terms of being able to understand and test the investment proposition - yet the forecasting process itself often remains a mystery. Additionally, there are frequent concerns about predictive reliability. Written specifically for credit analysts, investors and other professionals whose primary expertise lies outside transportation, this book lifts the lid on the 'black box' of traffic and revenue forecasting. The author, Robert Bain (ex-S&P and a civil engineer with 20+ years of forecasting experience) has prepared a straightforward guide which highlights key issues to watch for and suggests ways in which the forecasts can be analysed to improve transparency and investor understanding.




Toll Roads


Book Description

This session contains the following papers: Classic toll road financial failures - Lessons for the future (Nielsten, GV); Estimating demand and revenue potential for the Route 91 express lanes (Josef, RR, Regan, EJ and Porter, JC); Private toll road: SR 91 toll express lanes (Hartje, RL, Pfeffer, GS); Oklahoma turnpikes - The second time around (Ridings, RL and Smith, SM); "Tollsim": A simulation model for the evaluation of ETTM systems in Florida (Lin, J and Hoang, LT).




Estimation of Toll Road Users Value of Time


Book Description

This research examines a new methodology for prospectively estimating the willingness of travelers to use a toll road by combining travel time saved with the income of the prospective customer base. The purpose of the research is to facilitate network level planning by allowing some reasonable predictions of acceptable toll rates using readily available data and estimation techniques. Methods of estimating user benefit resulted in simulated distributions of value of user time. Values of time are linked to census tract income data for the user population to produce value of time as a percent of income as an indicator, which is hypothesized to be a more useful indicator of the travel market than conventional indicators. Techniques for estimating the travelshed of a toll road are examined. Results show that considering value of time as a percentage of census tract median income provides an improved portrayal of the toll road market, as usage of the toll road increases with increasing income. Using census tract median income as the income parameter has shortcomings, in that it produces anomalous results at very low population levels. Of the two methods of estimating the travelshed, the visual estimation approach was not satisfactory, leaving the analyst to use select link analyses instead.







Assessing Highway Tolling and Pricing Options and Impacts


Book Description

"TRB's National Cooperative Highway Research Program (NCHRP) Report 722: Assessing Highway Tolling and Pricing Options and Impacts provides state departments of transportation (DOTs) and other transportation agencies with a decision-making framework and analytical tools that describe likely impacts on revenue generation and system performance resulting from instituting or modifying user-based fees or tolling on segments of their highway system. Volume 2: Travel Demand Forecasting Tools provides an in-depth examination of the various analytical tools for direct or adapted use that are available to help develop the forecasts of potential revenue, transportation demand, and congestion and system performance based on tolling or pricing changes. Volume 1: Decision-Making Framework includes information on a decision-making framework that may be applied to a variety of scenarios in order to understand the potential impacts of tolling and pricing on the performance of the transportation system, and on the potential to generate revenue to pay for system improvements"--Publication information.










Dynamic Road Pricing and the Value of Time and Reliability


Book Description

High Occupancy Toll (HOT) lanes that use dynamic pricing to manage congestion and generate revenue are increasingly popular. In this paper, we estimate the behavioral response of drivers to dynamic pricing in an HOT lane. The challenge in estimation lies in the simultaneity of price and demand: the structure of dynamic tolling ensures that prices increase as more drivers enter the HOT lane. Prior research has found that higher prices in HOT lanes increase usage. We find that after controlling for simultaneity HOT drivers instead respond to tolls in a manner consistent with economic theory. The average response to a 10 percent increase in the toll is a 1.6 percent reduction in usage. Drivers primarily value travel reliability over time savings, although there is heterogeneity in the relative values of time and reliability based on time of day and destination to or from work. The results highlight the importance of both controlling for simultaneity when estimating demand for dynamically priced toll roads and treating HOT lanes with dynamic prices as a differentiated product with bundled attributes.




Road Pricing: Theory, Empirical Assessment and Policy


Book Description

Road pricing (tolls, etc.) as a means of generating revenue for infrastructure investment has become a major policy option in both Europe and North America. It can also be used as a policy in the management of traffic demand and flow, environmental objectives, and optimal resource allocation as regards the size of investments. Road pricing is assumed to be able to solve many problems simultaneously -- congestion control, pollution reduction, and investment financing. This volume assembles and assesses theoretical knowledge, empirical results and experiences of actual road pricing. In addition, the impact of new information technology on future policy formulation is considered.