Modeling of Transport Demand

Modeling of Transport Demand explains the mechanisms of transport demand, from analysis to calculation and

forecasting. Packed with strategies for forecasting future demand for all transport modes, the book helps readers

assess the validity and accuracy of demand forecasts.

Forecasting and evaluating transport demand is an essential task of transport professionals and researchers

that affects the design, extension, operation, and maintenance of all transport infrastructures. Accurate demand

forecasts are necessary 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 of Transport

Demand help readers solve the problems they face on a daily basis.

Modeling of Transport Demand is written for researchers, professionals, undergraduate and graduate students

at every stage in their careers, from novice to expert. The book assists those tasked with constructing qualitative

models (based on executive judgment, Delphi, scenario writing, survey methods) or quantitative ones (based on

statistical, time series, econometric, gravity, artificial neural network, and fuzzy methods) in choosing the most

suitable solution for all types of transport applications.

• Presents the most recent and relevant findings and research - both at theoretical and practical levels - of transport demand
• Provides a theoretical analysis and formulations that are clearly presented for ease of understanding
• Covers analysis for all modes of transportation
• Includes case studies that present the most appropriate formulas and methods for finding solutions and evaluating results

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

1. Transport demand and factors affecting it
2. Evolution and trends of transport demand
3. Methods of modeling transport demand
4. Executive judgment, Delphi, scenario writing and survey methods
5. Statistical methods for transport demand modeling
6. Trend projection and time series methods
7. Econometric, gravity and the 4–step methods
8. Artificial intelligence – Neural network methods
9. Fuzzy methods