Download or read book Better Traffic and Revenue Forecasting written by Luis G. Willumsen and published by . This book was released on 2014-07-26 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demand and revenue forecasting for transport concessions has an inconsistent track record. There are several reasons for this: a possible optimism bias, the inherent uncertainty in any forecast, limited data and a poor choice of modelling tools. Therefore any better approach must acknowledge these constraints from the outset and be adapted to deal with revenue risk. This book addresses these issues on the basis of 20 years of international experience producing Traffic and Revenue projections for a range of transport concessions: Toll Roads, Managed Lanes, LRT, BRT, Metro and Rail projects with involvement of the private sector. It includes an additional chapter on Congestion Charging. The book is divided into three parts. Part I covers the context for the participation of the private sector and the requirements posed for demand forecasting. Part II is more technical and describes the strengths and limitations of the modelling tools used in both conventional and Traffic and Revenue forecasting models; it deals with issues like induced traffic, destination, mode and time of travel choice and, of course, discusses assignment in detail; willingness to pay is central to this part. Part III covers the practice of producing forecasts for different types of concessions: sound assumptions, modelling price and means of payment, growth models, treatment of congestion and travel time reliability, optimal pricing, annualisation, inflation and tariff escalation. This part also deals with the critical issue of future uncertainty with suggestions for peer reviews, sensitivity test, risk analysis and scenario planning. The book should be of interest to professionals working in procuring authorities preparing a transport concession, consortia bidding for such projects and financial specialists seeking to get a better understanding of the techniques used for Traffic and Revenue forecasting. Planners developing projects where price and revenue risk are important will also gain useful insights. The text contains a large number of tables and figures, all in colour, and suggestions on writing a good Final Report. A website, www.bettertandr.com, complements the book. About the author Dr. Luis (Pilo) Willumsen has 15 years of experience in transport teaching and research plus two decades producing traffic and revenue projections for more than 50 different private sector projects in over 30 countries. He is co-author of Modelling Transport, a Wiley text describing the state of the art in the field and now in its fourth edition; he has also made some helpful contributions to modelling and forecasting techniques. He is currently an independent consultant and a Visiting Professor at University College London.

Download or read book Toll Road Traffic and Revenue Forecasts written by Robert Bain and published by Lulu.com. This book was released on 2009 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Uncertainties in Traffic and Revenue Forecasting written by Kate Louis Flanagan and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Estimating Toll Road Demand and Revenue written by David S. Kriger and published by Transportation Research Board. This book was released on 2006 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reliability of Toll Road Revenue Forecasts for Selected Toll Roads in the United States written by Borivoje P. Dedeitich and published by . This book was released on 1993 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Traffic Forecasting Accuracy Assessment Research written by Gregory D. Erhardt and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate traffic forecasts for highway planning and design help ensure that public dollars are spent wisely. Forecasts inform discussions about whether, when, how, and where to invest public resources to manage traffic flow, widen and remodel existing facilities, and where to locate, align, and how to size new ones. The TRB National Cooperative Highway Research Program's NCHRP Report 934: Traffic Forecasting Accuracy Assessment Research seeks to develop a process and methods by which to analyze and improve the accuracy, reliability, and utility of project-level traffic forecasts. The report also includes tools for engineers and planners who are involved in generating traffic forecasts, including: Quantile Regression Models, a Traffic Accuracy Assessment, a Forecast Archive Annotated Outline, a Deep Dive Annotated Outline, and Deep Dive Assessment Tables.

Download or read book An evaluation of two alternative toll revenue forecasting techniques written by and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Airline Traffic Forecasting written by Nawal K. Taneja and published by Free Press. This book was released on 1978 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Passenger Mile and Revenue Forecasting Practices written by Jack B. Jarvis and published by . This book was released on 1958 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Development of Revenue Forecasting Models for Agencies of the Metropolitan Transportation Authority written by New York (State). Metropolitan Transportation Authority. Economic Analysis Group and published by . This book was released on 1991 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statewide Travel Demand Forecasting written by United States. Office of Highway Planning. Program Management Division and published by . This book was released on 1973 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Retrospective Evaluation of Traffic Forecasting Techniques written by John S. Miller and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic forecasting techniques--such as extrapolation of previous years' traffic volumes, regional travel demand models, or local trip generation rates--help planners determine needed transportation improvements. Thus, knowing the accuracy of these techniques can help analysts better consider the range of transportation investments for a given location. To determine this accuracy, the forecasts from 39 Virginia studies (published from 1967-2010) were compared to observed volumes for the forecast year. Excluding statewide forecasts, the number of segments in each study ranged from 1 to 240. For each segment, the difference between the forecast volume and the observed volume divided by the observed volume gives a percent error such that a segment with a perfect forecast has an error of 0%. For the 39 studies, the median absolute percent error ranged from 1% to 134%, with an average value of 40%. Slightly more than one-fourth of the error was explained by three factors: the method used to develop the forecast, the length of the duration between the base year and forecast year, and the number of economic recessions between the base year and forecast year. In addition, although data are more limited, studies that forecast a 24-hour volume had a smaller percent error than studies that forecast a peak hour volume (p = 0.04); the reason is that the latter type of forecast requires an additional data element--the peak hour factor--that itself must be forecast. A limitation of this research is that although replication of observed volumes is sought when making a forecast, the observed volumes themselves are not without error; for example, an "observed" traffic count for a given year may in fact be based on a 48-hour count that has been expanded, based on seasonal adjustment factors, to estimate a yearly average traffic volume. The primary recommendation of this study is that forecasts be presented as a range. For example, based on the 39 studies evaluated, for a study that provides forecasts for multiple links, one would expect the median percent error to be approximately 40%. To be clear, detailed analysis of one study suggests it is possible that even a forecast error will not necessarily alter the decision one would make based on the forecast. Accordingly, considering how a change in a traffic forecast volume (by the expected error) influences decisions can help one better understand the need for a given transportation improvement. A secondary recommendation is to clarify how some of these traffic forecasting techniques can be performed, and supporting details for this clarification are given in Appendix A of this report.

Download or read book Transportation Planning in Certain Urban Areas written by United States. Congress. House. Committee on Public Works and published by . This book was released on 1963 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Retrospective Evaluation of Traffic Forecasting written by John S. Miller and published by . This book was released on 2016 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic forecasting techniques—such as extrapolation of previous years' traffic volumes, regional travel demand models, or local trip generation rates—help planners determine needed transportation improvements. Thus, knowing the accuracy of these techniques can help analysts better consider the range of transportation investments for a given location. To determine this accuracy, the forecasts from 39 Virginia studies (published from 1967-2010) were compared to observed volumes for the forecast year. Excluding statewide forecasts, the number of segments in each study ranged from 1 to 240. For each segment, the difference between the forecast volume and the observed volume divided by the observed volume gives a percent error such that a segment with a perfect forecast has an error of 0%. For the 39 studies, the median absolute percent error ranged from 1% to 134%, with an average value of 40%. Slightly more than one-fourth of the error was explained by three factors: the method used to develop the forecast, the length of the duration between the base year and forecast year, and the number of economic recessions between the base year and forecast year. In addition, although data are more limited, studies that forecast a 24-hour volume had a smaller percent error than studies that forecast a peak hour volume (p = 0.04); the reason is that the latter type of forecast requires an additional data element—the peak hour factor—that itself must be forecast. A limitation of this research is that although replication of observed volumes is sought when making a forecast, the observed volumes themselves are not without error; for example, an "observed" traffic count for a given year may in fact be based on a 48-hour count that has been expanded, based on seasonal adjustment factors, to estimate a yearly average traffic volume. The primary recommendation of this study is that forecasts be presented as a range. For example, based on the 39 studies evaluated, for a study that provides forecasts for multiple links, one would expect the median percent error to be approximately 40%. To be clear, detailed analysis of one study suggests it is possible that even a forecast error will not necessarily alter the decision one would make based on the forecast. Accordingly, considering how a change in a traffic forecast volume (by the expected error) influences decisions can help one better understand the need for a given transportation improvement. A secondary recommendation is to clarify how some of these traffic forecasting techniques can be performed, and supporting details for this clarification are given in Appendix A of this report.

Download or read book Forecasting of Highway Revenues Under Various Options written by Bismark R. D. K. Agbelie and published by . This book was released on 2010-10-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Michigan s Statewide Traffic Forecasting Model written by Michigan. Department of State Highways and Transportation and published by . This book was released on 1970 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advanced Practices in Travel Forecasting written by Rick Donnelly and published by Transportation Research Board. This book was released on 2010 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 406: Advanced Practices in Travel Forecasting explores the use of travel modeling and forecasting tools that could represent a significant advance over the current state of practice. The report examines five types of models: activity-based demand, dynamic network, land use, freight, and statewide.