Modeling of Transport Demand: Analyzing, Calculating, and Forecasting Transport Demand
Profillidis, Vassilios
Botzoris, G.N.
Modeling Transportation Demand explains the mechanisms of transportation demand, from analysis, to calculation and forecasting. Packed with strategies for forecasting future demand for all transportation modes, the book helps readers assess the validity and accuracy of demand forecasts. Forecasting and evaluating transport demand is an essential task for transportation professionals and researches, affecting the design, extension, operation and maintenance of all transport infrastructure. Accurate demand forecasts are essential for companies and government entities when planning future fleet size, human resource needs, revenues, expenses, and budgets. The operational and planning skills provided in Modeling Transportation Demand help readers solve the problems they face on a daily basis. Modeling Transportation Demand is written for researchers at every stage in their careers, from novice to expert. The book assists those tasked with constructing econometric models with choosing the most suitable solution for all types of transportation applications. Presents the most recent and relevant findings and research - both at theoretical and practical levels - of transport demandTheoretical analysis and formulation are clearly presented for ease of understandingProvides analysis for all modes of transportation, and the various factors that affect themThrough case studies, presents the most appropriate formulas and methods for finding solutions, and evaluating results INDICE: 1. Evolution and Trends of Demand for the Various Sectors of Transport 2. Methods of modeling transport demand 3. Qualitative methods (Executive Judgment, Delphi, Scenario Writing, Questionnaire (market) Survey) 4. Statistical Methods (Trend projection, Time series, Panel data) 5. Deterministic (Causal) Methods (Econometric, Gravity) 6. Artificial (Neural) and Fuzzy Methods 7. Choice of the appropriate method
- ISBN: 978-0-12-811513-8
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 224
- Fecha Publicación: 01/05/2018
- Nº Volúmenes: 1
- Idioma: Inglés