Bulletin de la Société Royale des Sciences de Liège

0037-9565 1783-5720

 

sinds 05 februari 2011 :
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Samira Roudini, Mahmoudreza Keymanesh & Ali Nasrollahtabar Ahangar

Identification of “Black Spots” without Using Accident Information

(Volume 86 - Année 2017 — Special issue)
DOI: 10.25518/0037-9565.6958
Article
Open Access

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Abstract

In the present research, identification of so-called black spots with no use of accident information is investigated along “Iraanshahr-Sarbaaz-Chabahr” road in Baluchistan, Iran. First, by an overview on the road, all factors that could potentially contribute into accidents along the road were determined. Next, the road was divided into 8 sections based on uniformity and homogeneity of each section in terms of geometry and regional conditions. At each section, potential black spots were identified and questionnaires were prepared to collect opinions from 30 experts who were well-familiar with the road. The collected data was analyzed using SPSS Software, leading to the identification of black spots. Finally, the identified black spots were compared against those obtained by traffic police based on accident information.

Keywords : accident, black spot

Om dit artikel te citeren:

Samira Roudini, Mahmoudreza Keymanesh & Ali Nasrollahtabar Ahangar, «Identification of “Black Spots” without Using Accident Information», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 86 - Année 2017, Special issue, 667 - 676 URL : http://popups.ulg.be/0037-9565/index.php?id=6958.

Over : Samira Roudini

Payam Noor University of North Tehran, Iran, Roudini.s@gmail.com

Over : Mahmoudreza Keymanesh

Faculty of Transport and Traffic Engineering, Payam Noor University of North Tehran, Iran, Mrkeymanesh@gmail.com

Over : Ali Nasrollahtabar Ahangar

Payam Noor University of North Tehran, Iran, alinasrahangar@gmail.com