20.500.12556/DKUM-89960 Revealing the spatial pattern of weather-related road traffic crashes in Slovenia Despite an improvement in worldwide numbers, road traffic crashes still cause social, psychological, and financial damage and cost most countries 3% of their gross domestic product. However, none of the current commercial or open-source navigation systems contain spatial information about road traffic crash hot spots. By developing an algorithm that can adequately predict such spatial patterns, we can bridge these still existing gaps in road traffic safety. To that end, geographically weighted regression and regression tree models were fitted with five uncorrelated (environmental and socioeconomic) road traffic crash predictor variables. Significant regional differences in adverse weather conditions were identified; Slovenia lies at the conjunction of different climatic zones characterized by differences in weather phenomena, which further modify traffic safety. Thus, more attention to speed limits, safety distance, and other vehicles entering and leaving the system could be expected. In order to further improve road safety and better implement globally sustainable development goals, studies with applicative solutions are urgently needed. Modern vehicle-to-vehicle communication technologies could soon support drivers with real-time traffic data and thus potentially prevent road network crashes. GIS hot spot analyses traffic safety spatial modelling weather patterns GIS analize vročih točk prometna varnost prostorsko modeliranje vremenski vzorci true false true MDPI Angleški jezik Slovenski jezik Znanstveno delo 2024-08-20 08:59:10 2024-08-20 09:10:49 2024-08-21 03:41:10 0000-00-00 00:00:00 2021 0 0 Str. 1-12 Št. 14, št. članka 6506 Letn. 11 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2021-06-14 2021-07-12 2021-07-15 911.375.1:614.8:656.1:551.5 70501635 10.3390/app11146506 2076-3417 Ivajnsic-2021-Revealing_the_Spatial_Pattern_of.pdf Ivajnsic-2021-Revealing_the_Spatial_Pattern_of.pdf 1 2ABC654CFF7E850B12EF49BA98C82F86 8fcd0b64efd4e3cf0a2f02b33b7868fb895d408e0e73de8afe97066609042c2d 1ffe79e6-5ec3-11ef-abdc-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=182714 https://doi.org/10.3390/app11146506 0 be4b5416-5ec1-11ef-abdc-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=182711 Fakulteta za naravoslovje in matematiko 0 0 0