Course Content (Syllabus)
Introduction, Sources and types of transport and mobility data, data bases, intriduction to Quantitative research, Types of Surveys (RP, SP, PuT surveys), design and planning of surveys, sampling techniques, hypothesis testing, logistic and linear regression models, timeseries analysis, paremtric and non parametric models in PuT, benchmarking evaluation in PuT, Neural networks and deep learning techniques, Structural Equation Models, Geographical Regression, Hazard Based Duration Model
Additional bibliography for study
Ν. Γαβανάς, Π. Παπαϊωάννου, Ι. Πολίτης, Μ. Πιτσιάβα-Λατινοπούλου, (2015), Αστικά οδικά δίκτυα και διαχείριση κινητικότητας, ΣΕΑΒ, Ηλεκτρονικά Ακαδημαϊκά Συγγράμματα HEAL-Link.