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Can I read Modeling of Transport Demand : Analyzing, Calculating, and Forecasting Transport Demand on EtoBox?

Modeling of Transport Demand : Analyzing, Calculating, and Forecasting Transport Demand by V.A. Profillidis and G.N. Botzoris is a nonfiction available to read on EtoBox.

What is Modeling of Transport Demand : Analyzing, Calculating, and Forecasting Transport Demand about?

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 fuzz

Who reads Modeling of Transport Demand : Analyzing, Calculating, and Forecasting Transport Demand?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
V.A. Profillidis and G.N. Botzoris
Publisher
Elsevier Science Publishing Co Inc
Published
2018
Language
EN
ISBN
9780128115145
Category
nonfiction
Subjects
Science, Business, Social Science
Updated
2026-03-24

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