In this study we identify spatial regions based on an empirical data set consisting of time-dependent origin-destination (OD) pairs. This OD data consists of electronic traces collected from smart phone data by Google in the Amsterdam metropolitan region and is aggregated by the volume of trips per hour at neighborhood level. In this study we cluster the pairs by space and time to gain insight in both aspects regarding travel characteristics. We show that spatially connected clusters appear when we use a performance metric called modularity on the OD data when directionality is incorporated.

Clustering, GPS traces, Modularity optimization, OD-matrices, Screen-lines, Travel behavior
International Conference on Ambient Systems, Networks and Technologies
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

van Leeuwen, D, Bosman, J.W, & Dugundji, E.R. (2018). Spatio-temporal clustering of time-dependent origin-destination electronic trace data. In Procedia Computer Science (pp. 359–367). doi:10.1016/j.procs.2018.04.053