Statistical and Econometric Methods for Transportation Data Analysis

The objective is to provide students with a generic background in the application of various statistical and econometric analysis techniques and to provide new ideas for analyzing data in research. The course will present a number of model-estimation methods that are used in transportation data analysis and other subject areas that deal with data analysis. The students will be able to utilize various model development techniques discussed in the class in a number of applications such as (1) statistical model development, (2) multinomial regression estimation with examining various properties, (3) cross-sectional and panel data analysis, (4) ordinary least squares and maximum likelihood estimation, (5) time series analysis, (6) cluster analysis, (7) simultaneous model estimation techniques, and (8) discrete choice models. Econometric methods are vital to travel demand model development, travel behavior analysis, traffic safety studies, and economic decision making.