Volume 9, Issue 1 (2005)
MJSP 2005, 9(1): 151-167 |
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Farajzadeh Asl M, Karami S. Road Accident Analysis by A Climatic Approach Using Geographic Information ystems(GIS) Case Study: Firouz koh- Sari road. MJSP 2005; 9 (1) :151-167
URL: http://hsmsp.modares.ac.ir/article-21-8857-en.html
URL: http://hsmsp.modares.ac.ir/article-21-8857-en.html
1- Tarbiat Modares University, Tehran, Iran
2- .Sc. Graduate, Department of Physical Geography, Tarbiat Modarres University
2- .Sc. Graduate, Department of Physical Geography, Tarbiat Modarres University
Abstract: (8325 Views)
According to available statistics, thousands of people are killed or paralyzed in road accidents every year. Based on the most recent statistics more than 22000 people have been killed in road accidents in Iran in 1381 and this means a national disaster.
In this paper, accidents of Firouzkoh- Sari road, in different atmospheric conditions such as rainy, snowy, frosty and foggy have been studied in a 3 years period (1993-1996).
In order to investigate the role of climatological phenomena in occurrence of accidents, the hourly data of meteorology stations of Firouzkoh, Gharakhil Ghaemshahr and Dasht-e-Naz Sari have been used and the atmospheric condition at the time of accident has been obtained from them. Detailed accident information at the study period too, has been deriven from police road accident database.
In this paper the map of accidents distribution and map of probability of accident risk in different condition such as rainy, snowy, frosty and foggy has been provided by using GIS. According to the result of maps showing the probability of accident risk, the most probability risks when it is raining are on the 125th and 130th kilometers, when it is freezing is on the 40th kilometer, when it is snowing are on the 30th, 29th and 40th kilometers and when it is foggy are on the 100th, 106th, 108th, 109th and 110th kilometers.
Finally, by using probability maps of accident risk in each atmospheric condition, such as rainy, snowy, icy and foggy, also by using importance coefficient of each of these phenomenon (based on frequency of accidents) the final map of probability accident risk has been produced and the road has been classified to three classes, very high risk, high risk and mid risk.
Based on these classes, the highest probability of risk in inclement weather is on the 35th, 100th, 108th, 109th, 110th, 122th, 125th and 130th kilometers.
Received: 2004/07/13 | Accepted: 2004/12/4 | Published: 2010/04/27
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