| Autor: |
Olszewski Piotr, Osińska Beata, Szagała Piotr, Włodarek Paweł |
| Jazyk: |
English<br />French |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 231, p 03002 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/201823103002 |
| Popis: |
In large Polish cities like Warsaw, pedestrians constitute almost 60% of road fatalities. Although traffic safety situation in general is improving, the numbers of pedestrians hit when crossing a road have not significantly decreased over the last six years. A negative binomial model was estimated for predicting accidents at unsignalised pedestrian crossings based on accident data from 52 crossings in Warsaw. A total of 58 pedestrian accidents were recorded at these crossings during the last seven years. The model shows that the number of accidents is less-than-proportional to both pedestrian and motorised traffic daily volumes. Other risk factors affecting pedestrian safety are: higher proportion of heavy vehicles and location in a mixed land use area. The model can be used with the Empirical Bayes method for an unbiased identification of high risk locations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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