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Modeling of Transport Demand explains the mechanisms of transport demand, from analysis to calculation and forecasting. Packed with strategies for forecasting future demand fo… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
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 studentsat 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.
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 it2. Evolution and trends of transport demand3. Methods of modeling transport demand4. Executive judgment, Delphi, scenario writing and survey methods5. Statistical methods for transport demand modeling6. Trend projection and time series methods7. Econometric, gravity and the 4–step methods8. Artificial intelligence – Neural network methods9. Fuzzy methods
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