This research focuses on investigating human commuting patterns within the GeoVisual Analytics (GVA) environment using Floating Car Datasets (FCD) collected in Aalborg municipality between years 2012 – 2014. According to studies in the transportation domain, physical commuting remains an actual routine in the everyday lifestyle of modern society. And yet, insufficient number of studies have been conducted in this direction nor presented from the GVA analytics perspective that would provide a more indepth understanding. To contribute to the existing studies, we investigate the spatio-temporal distribution of the travel behaviour of Aalborg commuters from location-to-location during peak and off-peak hours throughout working days and weekends with morning and afternoon rush hours. Accordingly, we propose an interactive GVA environment as an essential tool for the extensive analysis of human mobility data to ensure effective exploratory interpretation of the commuters’ travel behaviour while following the analysis workflow provided by the traffic experts. The GVA reveals ongoing dynamic processes in traffic flow over space and time to help local authorities for a better decision-making process in traffic management.
Original languageEnglish
Title of host publicationLBS 2021 : Proceedings of the 16th International Conference on Location Based Services
Number of pages6
Publication date25 Nov 2021
Publication statusPublished - 25 Nov 2021
Event16th International Conference on Location Based Services - Virtual
Duration: 24 Nov 202125 Nov 2021


Conference16th International Conference on Location Based Services


  • geo visual analytics
  • floating car dataset
  • commuting


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