2021/4/8 3
4/8/2021
交通大数据——理论与方法 · 东南大学 · 郭延永教授
3
Statistical Models For Crash Data
Examples of count data variables in transportation include the
number of driver route changes per week, the number of trip
departure changes per week, drivers’ frequency of use of
intelligent transportation systems (ITS) technologies over
some time period, number of vehicles waiting in a queue, and
the number of accidents observed on road segments per year.
A common mistake is to model count data as continuous data
by applying standard least squares regression. This is not
correct because regression models yield predicted values that
are non-integers and can also predict values that are negative,
both of which are inconsistent with count data. These
limitations make standard regression analysis inappropriate for
modeling count data without modifying dependent variables.
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