  In recent years, numerous studies have been published dealing with the effect
of individual characteristics of pedestrians on the fundamental diagram. These
studies compared cumulative data on individuals in a group homogeneous in terms
of one human factor such as age but heterogeneous in terms of other factors for
instance gender. In order to examine the effect of all determined as well as
undetermined human factors, individual fundamental diagrams are introduced and
analyzed using multiple linear regression. A single-file school experiment with
students of different age, gender, and height is therefore considered. Single
individuals appearing in different runs are analyzed to study the effect of
human factors such as height, age and gender and all other unknown individual
effects such as motivation or attention to the individual speed. The analysis
shows that for students age and height are strongly correlated and,
consequently, age can be ignored. Furthermore, the study shows that gender has
a weak effect and other nonmeasurable individual characteristics have a
stronger effect than height. In a further step, a mixed model is used as well
as the multiple linear model. Here, it is shown that the mixed model that
considers all other unknown individual effects of each person as a random
factor is preferable to the model where the individual speed only depends on
the variables of headway, height, and all other unknown individual effects as
fixed factors.
