While discussing the models for transportation demand analysis it became clear that empirical data on travel behaviour and demographics are required for calibrating some of the models. Specifically the following types of data are necessary:
In the direct method, data on travel behaviour is collected by directly observing the trips or by interviewing the prospective trip makers. The method of interviewing is generally referred to as home interview method or road-side interview method. The names are self-explanatory. In this method data collectors interview people on their trip making behaviour (like how many trips they make, the origins and destinations of their trips) and on certain demographic aspects. In the indirect methods are methods which rely on (i) traffic counts, observations on license plates, etc. and (ii) mathematical techniques to derive information on travel behaviour. Among the methods of this class are cordon line count based methods, link volume count based methods, ordinal information based methods, etc.
The reader may refer to Richardson et al. [#!rich1!#] and Moser and Kalton [#!mose1!#] for details on direct methods of data collection. The reader can refer to Reddy and Chakroborty [#!redd1!#,#!redd2!#] for a survey of indirect methods and relevant references.