2023/01/30 by Rune Elvik, Alena Høye · 1 voice · 12 citations
Engineering · Health Professions · Mathematics · Medicine · Social Sciences · #Engineering #Environmental health #Environmental science #Forensic engineering #Geography #Mathematics #Medicine #Occupational Health and Safety Research #Poison control #Speed limit #Statistics #Traffic and Road Safety #Traffic volume #Transport engineering #Urban Transport and Accessibility #Variable (mathematics)
paper · doi:10.1016/j.aap.2023.106989
published in Accident Analysis & Prevention 183, 106989 (Elsevier BV)
openalex publication_date 2023/01/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/11
This paper compares the results found in successive accident prediction models developed at the national level for Norway. Over time, the models have become more comprehensive in terms of the roads and the variables included in them. It is found that traffic volume has consistently had the strongest association with the number of accidents. It explains nearly all the systematic variation in the number of accidents. The second most important variable has consistently been the speed limit of 50 km/h, which indicates an urban area (the default speed limit in urban areas in Norway is 50 km/h). This variable has become less important over time. Motorways (freeways) have consistently had a lower accident rate than other roads. The mean number of accidents per road section declined considerably from 1986 to 89 to 2010-15. Systematic variation in the number of accidents between road sections was greatly reduced. At present, the variation in the annual number of accidents between road sections is mostly random.