Daily Travelling Viewed by Self-Organizing Maps

Abstract

Y. Zahavi’s original theory about a stable travel time budget has been later changed by Zahavi himself as well as criticized in various papers. Self-Organizing Maps (SOM) or Kohonen Maps, which resemble the topographically organized maps found in the cortices of the more developed animal brains. Maps resulting in the self-organization process are non-linear projections of the probability density function on input space onto a two dimensional display. The projection strives to preserve the distance relationships between the patterns in the original multidimensional pattern space. The model is calibrated by inputting the personal trip data to the trained viewer and examining the distribution of the trips and explanatory variables among the travelling groups. Departure times for the trips were also used as a parameter to classify groups on a SOM. The most obvious phenomenon on the distribution of departure times was the number of peaks per day.

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