A position-sensitive sequence-alignment method illustrated for space-time activity-diary data

Sequence-alignment methods which have been recently introduced in time-use research analyse the cross-sectional as well as the sequential information embedded in space-time activity-diary data. As these methods have been deve loped to trace the evolutionary history of random mutations of the elements in biological sequences, they are not appropriate to measure the distances by which activities change their sequential order in activity diaries. In this paper we report on the development of a position-sensitive sequence-al ignment method for activity analysis. First, the problem is specified, and the key concepts to analyse the problem are addressed. Then, the principles of the new method are introduced. The method is illustrated with data on a ctivity patterns collected in the Netherlands. The paper concludes with a c ritical discussion of the basic assumptions of the method and avenues of fu ture research are identified.