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...

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Main Authors: K. Ivan, I. Haidu, J. Benedek, S. M. Ciobanu
Format: Article
Language:English
Published: Copernicus Publications 2015-09-01
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
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spelling doaj-1dd9bf8fe0ff4724bc8ff50e7977ba992020-11-25T01:03:09ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812015-09-011592059206810.5194/nhess-15-2059-2015Identification of traffic accident risk-prone areas under low-light conditionsK. Ivan0I. Haidu1J. Benedek2S. M. Ciobanu3Babeş-Bolyai University of Cluj-Napoca, Faculty of Geography, Clinicilor Street, 5–7, 400006 Cluj-Napoca, RomaniaUniversité de Lorraine, Laboratoire LOTERR – EA 7304, Île du Saulcy, 57045 Metz, FranceUniversity of Miskolc, Institute of World and Regional Economics, 3515 Miskolc, HungaryBabeş-Bolyai University of Cluj-Napoca, Faculty of Geography, Clinicilor Street, 5–7, 400006 Cluj-Napoca, RomaniaBesides 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.http://www.nat-hazards-earth-syst-sci.net/15/2059/2015/nhess-15-2059-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. Ivan
I. Haidu
J. Benedek
S. M. Ciobanu
spellingShingle K. Ivan
I. Haidu
J. Benedek
S. M. Ciobanu
Identification of traffic accident risk-prone areas under low-light conditions
Natural Hazards and Earth System Sciences
author_facet K. Ivan
I. Haidu
J. Benedek
S. M. Ciobanu
author_sort K. Ivan
title Identification of traffic accident risk-prone areas under low-light conditions
title_short Identification of traffic accident risk-prone areas under low-light conditions
title_full Identification of traffic accident risk-prone areas under low-light conditions
title_fullStr Identification of traffic accident risk-prone areas under low-light conditions
title_full_unstemmed Identification of traffic accident risk-prone areas under low-light conditions
title_sort identification of traffic accident risk-prone areas under low-light conditions
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2015-09-01
description 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.
url http://www.nat-hazards-earth-syst-sci.net/15/2059/2015/nhess-15-2059-2015.pdf
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