Collection and Analysis of Transportation Data

Data types, structures and sources. Data Collection Methods - Measurements. Transport Data Methods - Questionnaire Surveys. Revealed & Expressed Preference Surveys. Transport Data Methods - Digital Sources. Topographical Methods of Transport Data Collection. Methodologies for traffic data processing and analysis. Fundamentals of Statistics, Methods of Descriptive Statistics and Statistical Controls in Transport. Development of Econometric Models with Transport Data - Theory and Applications - Linear Regression. Development of Econometric Models with Transport Data - Theory and Applications - Logistic, MNL and probit models. Non-parametric Models / Other Models. Large scale data in transport and analysis thereof. Applications.

Selecting the appropriate data for analysing and solving transport problems. Identify sources and ways/means of collecting transport data. Knowledge of the potential, limitations and usefulness of different types of data. Organise transport data in an appropriate way. Knowledge around basic methods of statistical and econometric processing and analysis of transport data. Organisation of field measurements for the collection of transport data. Possibilities for processing and analysing transport data. Abilities to develop and calibrate statistical and econometric models with application to transport problems Knowledge of the requirements, capabilities and problems of large-scale data management and analysis.