Prediction analysis of trip production using cross-classification technique

Abstract EN

In this study a cross-classification technique is used to predict trip production travel among 20 traffic analysis zones located within Dohuk city residential area.

Two and three level cross-classification matrices has been used to describe disaggregated trip rates / Du, total vehicle trips / Du and total private trips / Du.

Car ownership is considered as the main factor causing trip production related to other household characteristics like family size income level and workers number.

Out of this study it is concluded that data can be used directly in the prediction analysis of trip rates.

Family size and workers number are the most effective independent variables.

Number of cells can be reduced if larger sample size is used in the prediction analysis as well.