[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-116193-en":3,"doc-seo-116193-105":31,"detail-sidebar-cat-0-en-105":94},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":28,"update_tm":29,"read_time":30},116193,34359740700684,"Finn","https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487",8,"Research & Report","Better Traffic and Revenue Forecasting ","\u003Cp>This book presents practical approaches to improve traffic and revenue forecasting for transport concessions, focusing on how uncertainty, risk, and private-sector involvement affect forecast quality. It covers transport modeling fundamentals, including classic four-stage structures, calibration and validation, and the role of surveys for building base-year data and trip matrices. It also addresses willingness to pay, trip generation and attraction, destination, mode, departure-time, assignment, and induced demand, then advances to pricing, tolling, managed lanes, congestion charges, public transport concessions, and forward-looking scenario work.\u003C/p>","\u003Cp>BETTER TRAFFIC AND REVENUE FORECASTING  \u003C/p>\u003Cp>[OceanofPDF.com](OceanofPDF.com)  \u003C/p>\u003Cp>Cover Photo Credit: Luis Willumsen and Puerto Rico Highways and Transportation Authority  \u003C/p>\u003Cp>Cover Design by Guillermo Vallejo  \u003C/p>\u003Cp>Luis Willumsen © 2014  \u003C/p>\u003Cp>All rights reserved. No part of this book may be reproduced or transmitted in any form or by any means without the written permission of the author. This text makes reference to trademarks for editorial purposes only; the author makes no claims on their use. Nothing contained in this text is intended to press judgement on or affect the validity of the legal status of any term or word as trademark, service mark or other property mark.  \u003C/p>\u003Cp>The right of Luis Willumsen to be identified as the author of this work has been asserted in accordance to the Copyright, Designs and Patents Act  \u003C/p>\u003Cp>1988.  \u003C/p>\u003Cp>DISCLAIMER  \u003C/p>\u003Cp>This book contains the views of the author on how to improve traffic and revenue forecasts for transport concessions. It is not intended to be a comprehensive guide to this professional activity or an alternative to any professional advice or standard. The author accepts no liability or responsibility for any loss or damage caused by following the ideas in this book and recommends that you use it in conjunction with other advice and  \u003C/p>\u003Cp>standards applicable to each case.  \u003C/p>\u003Cp>ISBN – 13: 978-0-9928433-0-4  \u003C/p>\u003Cp>[OceanofPDF.com](OceanofPDF.com)  \u003C/p>\u003Cp>BETTER TRAFFIC AND REVENUE FORECASTING  \u003C/p>\u003Cp>Luis Willumsen  \u003C/p>\u003Cp> Maida Vale Press  \u003C/p>\u003Cp>[OceanofPDF.com](OceanofPDF.com)  \u003C/p>\u003Cp>TABLE OF CONTENTS  \u003C/p>\u003Cp>Preface  \u003C/p>\u003Cp>PART I CONTEXT  \u003C/p>\u003Cp>1. Introduction  \u003C/p>\u003Cp>1.1 Organisation of the text  \u003C/p>\u003Cp>1.2 Models  \u003C/p>\u003Cp>1.3 Modelling and forecasting  \u003C/p>\u003Cp>1.4 Aggregation  \u003C/p>\u003Cp>1.5 Risk and uncertainty  \u003C/p>\u003Cp>1.6 Repeatability, precision, accuracy, error  \u003C/p>\u003Cp>1.7 The uncertain future  \u003C/p>\u003Cp>1.8 Errors and forecastability  \u003C/p>\u003Cp>2. Involvement of the Private sector  \u003C/p>\u003Cp>2.1 Motivation  \u003C/p>\u003Cp>2.2 Simplified view of the process  \u003C/p>\u003Cp>2.3 Risks cost money  \u003C/p>\u003Cp>2.4 The future is not what it used to be  \u003C/p>\u003Cp>2.5 Optimism bias  \u003C/p>\u003Cp>2.6 Forecasting error  \u003C/p>\u003Cp>2.7 Summary  \u003C/p>\u003Cp>Part II Analysis  \u003C/p>\u003Cp>3. The classic transport model  \u003C/p>\u003Cp>3.1 Introduction  \u003C/p>\u003Cp>3.2 Behavioural responses  \u003C/p>\u003Cp>3.3 Levels of aggregation  \u003C/p>\u003Cp>3.4 Trips, tours, purposes  \u003C/p>\u003Cp>3.5 Generalised costs  \u003C/p>\u003Cp>3.6 Zones  \u003C/p>\u003Cp>3.7 Networks  \u003C/p>\u003Cp>3.8 The classic four stage model  \u003C/p>\u003Cp>3.9 Induced demand  \u003C/p>\u003Cp>3.10 Calibration and validation  \u003C/p>\u003Cp>4. Surveys to establish the base year  \u003C/p>\u003Cp>4.1 The Base Year  \u003C/p>\u003Cp>4.2 Understanding the context  \u003C/p>\u003Cp>4.3 Data collation  \u003C/p>\u003Cp>4.4 Time series  \u003C/p>\u003Cp>4.5 Modelled periods  \u003C/p>\u003Cp>4.6 Sampling  \u003C/p>\u003Cp>4.7 Surveys  \u003C/p>\u003Cp>4.8 Traffic counts  \u003C/p>\u003Cp>4.9 Road and service surveys  \u003C/p>\u003Cp>4.10 Quality  \u003C/p>\u003Cp>4.11 Analysis  \u003C/p>\u003Cp>4.12 Trip matrix building  \u003C/p>\u003Cp>4.13 Calibration and Validation  \u003C/p>\u003Cp>4.14 Accuracy of trip matrices  \u003C/p>\u003Cp>5. Willingness to pay  \u003C/p>\u003Cp>5.1 Values of Time  \u003C/p>\u003Cp>5.2 Stated Preference  \u003C/p>\u003Cp>5.3 WTP and income  \u003C/p>\u003Cp>5.4 Travel time reliability  \u003C/p>\u003Cp>5.5 Freight  \u003C/p>\u003Cp>5.6 Meta analysis of VTTS  \u003C/p>\u003Cp>6. Trip Generation and Attraction  \u003C/p>\u003Cp>6.1 Trip end models  \u003C/p>\u003Cp>6.2 Trip generation models  \u003C/p>\u003Cp>6.3 GDP growth, trip generation and accessibility effects  \u003C/p>\u003Cp>6.4 Trip attraction  \u003C/p>\u003Cp>6.5 Vehicle ownership  \u003C/p>\u003Cp>7. Destination choice  \u003C/p>\u003Cp>7.1 Trip Matrices and their growth  \u003C/p>\u003Cp>7.2 Modelling destination choice  \u003C/p>\u003Cp>7.3 Gravity models  \u003C/p>\u003Cp>7.4 Observed and synthetic matrices  \u003C/p>\u003Cp>7.5 Incremental modelling  \u003C/p>\u003Cp>7.6 Sense checks  \u003C/p>\u003Cp>8. Mode choice  \u003C/p>\u003Cp>8.1 General concepts  \u003C/p>\u003Cp>8.2 Modelling mode choice  \u003C/p>\u003Cp>8.3 Discrete choice modelling  \u003C/p>\u003Cp>8.4 Logit models  \u003C/p>\u003Cp>8.5 Limitations  \u003C/p>\u003Cp>8.6 Nested Logit  \u003C/p>\u003Cp>8.7 Other choice models  \u003C/p>\u003Cp>8.8 Sub-mode choice  \u003C/p>\u003Cp>8.9 Sense checks  \u003C/p>\u003Cp>9. Time of travel choice  \u003C/p>\u003Cp>9.1 Background  \u003C/p>\u003Cp>9.2 Macro and Micro Departure Time Choice  \u003C/p>\u003Cp>9.3 Micro Departure Time Choice  \u003C/p>\u003Cp>9.4 Macro time choice  \u003C/p>\u003Cp>9.5 Simplified approaches  \u003C/p>\u003Cp>9.6 Sense checks  \u003C/p>\u003Cp>10. Assignment  \u003C/p>\u003Cp>10.1 Principles  \u003C/p>\u003Cp>10.2 Modelling vehicle route choice and assignment  \u003C/p>\u003Cp>10.3 Equilibrium assignment  \u003C/p>\u003Cp>10.4 Limitations of conventional assignment  \u003C/p>\u003Cp>10.5 Dynamic Traffic Assignment  \u003C/p>\u003Cp>10.6 Stochastic effects  \u003C/p>\u003Cp>10.7 Travel time reliability  \u003C/p>\u003Cp>10.8 Modelling tolls  \u003C/p>\u003Cp>10.9 Public Transport Assignment  \u003C/p>\u003Cp>10.10 Within public transport mode choice  \u003C/p>\u003Cp>10.11 Sens\u003C/p>","cbCaivKi4etnsP6X","https://ap.wps.com/l/cbCaivKi4etnsP6X","pdf",9992595,1,305,"English","en",105,"# Preface\n# Part I Context\n## 1. Introduction\n## 2. Involvement of the Private sector\n# Part II Analysis\n## 3. The classic transport model\n## 4. Surveys to establish the base year\n## 5. Willingness to pay\n## 6. Trip Generation and Attraction\n## 7. Destination choice\n## 8. Mode choice\n## 9. Time of travel choice\n## 10. Assignment\n## 11. Induced Demand\n# Part III Practice\n## 12. Uncertainty, Risk and Forecasting\n## 13. Pricing\n## 14. Toll roads\n## 15. Managed Lanes\n## 16. Congestion charges\n## 17. Public transport Concessions\n## 18. The future","[{\"question\":\"How does the book define the goal of improving traffic and revenue forecasts for transport concessions?\",\"answer\":\"It focuses on improving forecasting for transport concessions by addressing uncertainty, risk, and how private-sector involvement shapes forecast reliability and decision support.\"},{\"question\":\"What modeling and data-building steps are covered before running forecasts?\",\"answer\":\"The book explains transport modeling concepts and the classic four-stage approach, then details how to establish a base year using surveys, traffic counts, road and service surveys, sampling, and trip-matrix building with calibration and validation.\"},{\"question\":\"How does the book handle pricing and revenue estimation mechanisms like tolls and charges?\",\"answer\":\"It presents methods for optimal pricing, pricing complexities and elasticities, and modeling toll roads, managed lanes, congestion charging, including means of payment, time-of-day tolling, leakage, and revenue projection with uncertainty considerations.\"}]","Better Traffic and Revenue Forecasting | PDF","This book presents practical approaches to improve traffic and revenue forecasting for transport concessions, focusing on how uncertainty, risk, and private-sector involvement affect forecast quality. 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