Identification of traffic accident risk-prone areas under low-light conditions
Besides other non-behavioural factors, low-light conditions significantly influence the frequency of traffic accidents in an urban environment. This paper intends to identify the impact of low-light conditions on traffic accidents in the city of Cluj-Napoca, Romania. The dependence degree between...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-09-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | http://www.nat-hazards-earth-syst-sci.net/15/2059/2015/nhess-15-2059-2015.pdf |
| Summary: | Besides other non-behavioural factors, low-light conditions
significantly influence the frequency of traffic accidents in an urban
environment. This paper intends to identify the impact of low-light
conditions on traffic accidents in the city of Cluj-Napoca, Romania. The
dependence degree between light and the number of traffic accidents was
analysed using the Pearson correlation, and the relation between the spatial
distribution of traffic accidents and the light conditions was determined
by the frequency ratio model. The vulnerable areas within the city were
identified based on the calculation of the injury rate for the 0.5 km<sup>2</sup>
areas uniformly distributed within the
study area. The results show a strong linear correlation between the
low-light conditions and the number of traffic accidents in terms of
three seasonal variations and a high probability of traffic accident
occurrence under the above-mentioned conditions at the city
entrances/exits, which represent vulnerable areas within the study
area. Knowing the linear dependence and the spatial relation between the low light and the number of traffic accidents, as well as the consequences
induced by their occurrence, enabled us to identify the areas of high traffic accident
risk in Cluj-Napoca. |
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| ISSN: | 1561-8633 1684-9981 |