Methods effective on identification accidents unreal from point of view experts

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NASERI ALI; AZIZI HAMIDREZA

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Journal Paper

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Journal: TRAFFIC MANAGEMENT STUDIES Year:2020 | Volume:- | Issue:56 Page(s): 65-88

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Title

Methods effective on identification accidents unreal from point of view experts

Author(s)

NASERI ALI | AZIZI HAMIDREZA | Issue Writer Certificate

Keywords

IdentificationQ1

unrealisticQ2

AccidentsQ1

ExpertsQ1

Abstract

unrealistic (fake) Accidents are one of the main problems for accident Experts, the judiciary, insurance and forensic medicine in Qom province. Fraudsters and profiteers have created unrealistic Accidents every time with new methods and patterns in order to achieve illegitimate financial interests. And by causing bodily harm and filing lawsuits and going to forensic medicine centers, they make big and illegal money. The aim of this study is to identify effective methods for identifying unrealistic Accidents using surveys of accident Experts and insurance damage assessment Experts. The present research is a field exploration. Due to the fact that the methods and objectives of unrealistic Accidents were investigated based on the suggestions based on the obtained analysis. The statistical population of this study is 90 accident Experts and 10 insurance damage assessment Experts in Qom province. By reviewing and analyzing the researcher-made questionnaires and assessing the significance level or sig by the T-Student test The results of the present study indicate that people without a driver's license and violating sketch documents Medicine is the most common cause of unrealistic Accidents. And they receive the ransom. The results of the present study also show that modern equipment has the greatest impact on the detection of unreal Accidents And in the next ranks, respectively, the integrated accident and training system of Experts have the greatest impact on Identification. And in the last rank, up-to-date forensic equipment has the least impact compared to other methods.

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APA: Copy

NASERI, ALI, & AZIZI, HAMIDREZA. (2020). Methods effective on identification accidents unreal from point of view experts. TRAFFIC MANAGEMENT STUDIES, -(56 ), 65-88. SID. https://sid.ir/paper/393814/en

Vancouver: Copy

NASERI ALI, AZIZI HAMIDREZA. Methods effective on identification accidents unreal from point of view experts. TRAFFIC MANAGEMENT STUDIES[Internet]. 2020;-(56 ):65-88. Available from: https://sid.ir/paper/393814/en

IEEE: Copy

ALI NASERI, and HAMIDREZA AZIZI, “Methods effective on identification accidents unreal from point of view experts,” TRAFFIC MANAGEMENT STUDIES, vol. -, no. 56 , pp. 65–88, 2020, [Online]. Available: https://sid.ir/paper/393814/en

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