Title Details: | |
Methods and Applications for Transport Demand Forecasting |
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Authors: |
Tyrinopoulos, Yannis Milioti, Christina |
Reviewer: |
Kepaptsoglou, Konstantinos |
Subject: | ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > TRANSPORTATIONS AND TRANSPORTATION SYSTEMS TECHNOLOGY > TRAFFIC ANALYSIS ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > TRANSPORTATIONS AND TRANSPORTATION SYSTEMS TECHNOLOGY > URBAN TRANSIT SYSTEMS ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > TRANSPORTATIONS AND TRANSPORTATION SYSTEMS TECHNOLOGY > COMBINATION OF TRANSPORT SYSTEMS ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > TRANSPORTATIONS AND TRANSPORTATION SYSTEMS TECHNOLOGY > TRAFFIC ENGINEERING |
Keywords: |
Forecasting of transport demand
4-step transport model Transport planning Trip generation Trip distribution Modal split Traffic assignment Shortest path problem |
Description: | |
Abstract: |
The book is addressed to students of Civil Engineering departments of universities offering a complete guide in one of the most important scientific fields of transport planning, and transport demand forecasting. The book provides an overview and classification of all methods and models, which are widely used in all steps of the 4-step transport model (Trip generation, Trip distribution, Modal split, and Traffic assignment), and presents numerous applications and examples of the methods and models. The book has been structured and organized in such a way that follows the teaching process and content of the courses related to and especially the course ‘Transport Planning’, which is one of the basic courses of the transportation direction of the Civil Engineering departments. First, the theoretical background is provided to familiarize the students with transport planning, its role, and the stages of its implementation; transport demand forecasting, its four steps, necessity, and basic notions; and demand (elasticity) and its characteristics. Then, the data used by the forecasting methods are presented, along with the types of surveys used for their collection. The main part of the book follows, which includes a detailed description of the methods and models mostly used for forecasting transport demand. The book ends with the presentation of applications of the methods for each step of the transport model and an integrated application covering all four steps. Moreover, the book offers additional knowledge for a better understanding of every step of the transport model, such as factors affecting commuters’ choices, network theory, use of big data, as well as guidelines for the use of Excel in the application of one of the most important methods, the linear regression.
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Linguistic Editors: |
Oxenkioun, Eleni-Elissavet |
Graphic Editors: |
Stathi, Efi |
Type: |
Undergraduate textbook |
Creation Date: | 13-06-2023 |
Item Details: | |
ISBN |
978-618-5726-38-6 |
License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
DOI | http://dx.doi.org/10.57713/kallipos-253 |
Handle | http://hdl.handle.net/11419/9754 |
Bibliographic Reference: | Tyrinopoulos, Y., & Milioti, C. (2023). Methods and Applications for Transport Demand Forecasting [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-253 |
Language: |
Greek |
Consists of: |
1. Introduction 2. Forecasting of transport demand 3. Types of data and data collection 4. Methods of demand analysis 5. Econometric methods 6. Networks, Scheduling and Shortest Path Algorithms 7. Traffic assignment methods 8. Applications of trip Generation 9. Applications of trip Distribution 10. Applications of modal split 11. Applications of traffic Assignment 12. Integrated application for the forecasting of transport demand |
Number of pages |
336 |
Publication Origin: |
Kallipos, Open Academic Editions |
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