Course description
The course aims at providing the main statistical tools for transportation data analysis. The main topics are primary data collection (survey methodologies), sampling, analysis of variance, regression and time series analysis.
Part of the course will be dedicated to the use of statistical software.
The course aims at providing the main statistical tools for transportation data analysis. The main topics are primary data collection (survey methodologies), sampling, analysis of variance and regression. Part of the course will be dedicated to the use of statistical software.
Lectures, computer lab lectures, case studies, homework and group work.
"The course aims at providing the main statistical tools for transportation data analysis. The main topics are primary data collection (survey methodologies), sampling, analysis of variance and regression. Part of the course will be dedicated to the use of statistical software."
Washington S.P., Karlaftis M.G., Mannering F.L. (2011) Statistical and econometric methods for transportation data analysis. Chapman&Hall.
Further materials will be made available through Aulaweb during the course
Ricevimento: http://www.economia.unige.it/index.php/il-dipartimento/personale/docenti-ad-economia/154-luca-persico
LUCA PERSICO (President)
ENRICO DI BELLA
CORRADO LAGAZIO
Sem: 2
27 february - 1 june 2017
STATISTICAL METHODS FOR TRANSPORTATION MANAGEMENT
Assessment
Students that attend the course will be evaluated according to:
Students that do not attend the course will have to prepare a brief thesis on one of the main topics of the course instead of the project work.
Attendance
6 hours/week, optional
