The ubiquity of anonymous GPS data has opened the door to a promising data source in the field of city logistics modelling. From this data the locations of logistics facilities can be extracted and their evolution studied over time. The minimum edge coverproblem, weighted by the Hausdorff distance, is used as a basis for a matching algorithm to study the location of facilities acrosslongitudinal datasets. The efficacy and validity of the algorithm is assessed through the visual inspection of results in three urbanareas across five time instances. Prevalent errors are unpacked and algorithm modifications suggested. This paper makes amethodological contribution to the handling of GPS data for the purpose of city logistics modelling.
QC 20200624