Road traffic accidents are a major world health issue that exhausts the financial status of countries and threatens millions of lives every day. In this work a five-and-a-half-year period data from Abu Dhabi, UAE was obtained and categorized. Random Parameter logit model-that assessed the unobserved heterogeneity of risk factors-was used with four dependent tolerable outputs. Correlation tests were conducted to assess the significance of the model estimated results for different injury levels. Results indicated that in vehicle-only accidents; old age drivers, male drivers, falling off vehicle accidents, dry paved covered with sand, night weak light condition, speeding, driving under the influence of drugs, exhaustion and sleepiness were associated with higher crash severity. However, for pedestrian accidents; results showed a highly positive correlation with pedestrian standing on the median, using pedestrian crosswalk at intersection, using pedestrian crosswalks where there is no intersection, and not using the designated pedestrian crosswalks.


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    Title :

    Vehicle and Pedestrian Crash Risk Modeling in Arabian Gulf Region


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Conference:

    International Conference on Intelligent and Fuzzy Systems ; 2023 ; Istanbul, Türkiye August 22, 2023 - August 24, 2023



    Publication date :

    2023-08-17


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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