20.500.12556/RUL-148527 Open data and quantitative techniques for anthropology of road traffic What kind of questions about human mobility can computational analysis help answer? How to translate the findings into anthropology? We analyzed a publicly available data set of road traffic counters in Slovenia to answer these questions. The data revealed information on how a population drives, how it travels for tourism, which locations it prefers, what it does during the week and the weekend, and how its habits change during the year. We conducted the empirical analysis in two parts. First, we defined traffic profile deviations and designed computational methods to find them in a large data set. As shown in the paper, traffic counters hint at potential causes and effects in driving practices that we interpreted anthropologically. Second, we used hierarchical clustering to find groups of similar traffic counters as described by their daily profiles. Clustering revealed the main features of road traffic in Slovenia. Using the two quantitative approaches, we outlined the general properties of road traffic in the country and identified and explained the outliers. We show that quantitative data analysis only partially answers anthropological questions, but it can be a valuable tool for preliminary research. We conclude that open data are a useful component in an anthropological analysis and that quantitative discovery of small local events can help us pinpoint future fieldwork sites. computational anthropology road traffic data mining open data quantitative analysis travel habits road traffic counters road traffic flows računska antropologija cestni promet podatkovno rudarjenje odprti podatki true false true Angleški jezik Slovenski jezik Članek v reviji 2023-08-25 13:36:28 2023-08-25 13:36:28 2023-08-26 03:54:17 0000-00-00 00:00:00 2023 0 0 20 str. Vol. 12, art. 28 Aug. 2023 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 2023-08-01 004:656.1 2193-1127 10.1140/epjds/s13688-023-00396-4 162222083 s13688-023-00396-4.pdf s13688-023-00396-4.pdf 1 C29E98D29FB6A24F3A5D0850E3723D78 cde493b4e83427c5e8b4b9aec3d18f7a0e5b329c6ac42370596bf812876cd5a8 62a09f0b-433c-11ee-b9d7-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=172789 https://link.springer.com/article/10.1140/epjds/s13688-023-00396-4 1 91eedf96-433b-11ee-b9d7-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=172788 Fakulteta za računalništvo in informatiko 0 0 0