03-31-2020, 07:30 AM
data and space
Modelling Transport -
Ortuzar Willumsen
This chapter is devoted to issues in data collection and their representation for use in transport modelling.
We present here a wide range of data collection methods but this is by no means complete. The nature
of the data to be collected depends, of course, on the models chosen for a particular study. Moreover,
advances in telecommunications are changing travel data collection with more general use of personal
GPS units that offer specific advantages in tracking movement over longer periods of time. The treatment
here is general. We will consider five subjects which are a prerequisite for other subjects treated in the
rest of the book. Firstly, we will provide a brief introduction to statistical sampling theory, which will
complement in part the elementary concepts discussed in section 2.5. Interested readers are advised that
there is a complete book on the subject (Stopher and Meyburg 1979) which may be consulted for more
details. In section 3.2 we will discuss the nature and importance of errors which can arise both during
model estimation and when forecasting with the aid of models; the interesting question of data accuracy
versus model complexity and cost is also addressed.
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use for Educational Purposes Only
Modelling Transport -
Ortuzar Willumsen
This chapter is devoted to issues in data collection and their representation for use in transport modelling.
We present here a wide range of data collection methods but this is by no means complete. The nature
of the data to be collected depends, of course, on the models chosen for a particular study. Moreover,
advances in telecommunications are changing travel data collection with more general use of personal
GPS units that offer specific advantages in tracking movement over longer periods of time. The treatment
here is general. We will consider five subjects which are a prerequisite for other subjects treated in the
rest of the book. Firstly, we will provide a brief introduction to statistical sampling theory, which will
complement in part the elementary concepts discussed in section 2.5. Interested readers are advised that
there is a complete book on the subject (Stopher and Meyburg 1979) which may be consulted for more
details. In section 3.2 we will discuss the nature and importance of errors which can arise both during
model estimation and when forecasting with the aid of models; the interesting question of data accuracy
versus model complexity and cost is also addressed.
To Read more...
register as member and login to download attachment [pdf]
use for Educational Purposes Only