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Modeling of Transport Demand

Analyzing, Calculating, and Forecasting Transport Demand
Buch | Softcover
500 Seiten
2018
Elsevier Science Publishing Co Inc (Verlag)
978-0-12-811513-8 (ISBN)
CHF 169,95 inkl. MwSt
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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 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.

V.A. Profillidis is Professor for the Section of Transportation at Democritus University of Thrace, Greece. He holds the Diploma in Civil Engineering from the University of Thessaloniki, MSc and PhD in Transportation from the Ecole Nationale des Ponts et Chaussées in Paris, and the Diploma in Law from the University of Thessaloniki. He has acted as a consultant to many transport authorities. He has taken part in many international conferences as well as meetings of the European Union, the World Bank, and the European Conference of Ministers of Transport. He has carried out a number of transport studies in modeling and forecasting of demand, transport economics and feasibility methods, traffic analysis and demand, intelligent transport systems, sustainable mobility, transport and the environment, organization and management, airport, railway, metro, and port master plans. He has written to this day 9 books and over 190 scientific papers that have been published in scientific journals, including Elsevier’s Journal of Air Transport Management, as well as conference proceedings. G.N. Botzoris is Assistant Professor for the Section of Transportation at Democritus University of Thrace, Greece. He holds the Diploma in Civil Engineering, MSc in Business Administration, and PhD in Transportation. His research interests include travel behavior analysis and modeling, analysis and forecast of transport demand, transport economics and feasibility methods, public transport planning and policy, traffic analysis and management, intelligent transport systems, sustainable mobility, and effects of transport activities on the environment. He is coauthor of one book and of five chapters in edited volumes. He has written to this day over 140 scientific papers that have been published in scientific journals, including Elsevier’s Journal of Air Transport Management, as well as conference proceedings.

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

Erscheinungsdatum
Sprache englisch
Maße 152 x 229 mm
Gewicht 770 g
Themenwelt Mathematik / Informatik Informatik
Sozialwissenschaften Soziologie
Technik Fahrzeugbau / Schiffbau
ISBN-10 0-12-811513-0 / 0128115130
ISBN-13 978-0-12-811513-8 / 9780128115138
Zustand Neuware
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