Regression Analysis of Pedestrian Fatality Risk and Impact Speed

Zhen Zhang; Gui Fan Zhao; Na Yang; Xiao Cheng

doi:10.4028/www.scientific.net/AMR.971-973.1300

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Regression Analysis of Pedestrian Fatality Risk...

Regression Analysis of Pedestrian Fatality Risk and Impact Speed

Abstract:

In order to study the relationship between pedestrian fatality risk and impact speed in domestic pedestrian traffic accidents. According to the frontal shapes of domestic vehicles, this paper divided the vehicle types into long head car, short head car and flat car. Used in-depth accident study method to collect a large number of actual traffic accidents cases. The logistic regression models of pedestrian fatality risk and impact speed of long head car, short head car and flat car were established. The Wald Chi-Square test was used to validate the accuracy of the model. The results shows: The long head car corresponds to the lowest pedestrian fatality risk, the flat car corresponds to the highest values. Compared with developed countries, the developed emergency and medical care play an important role in reducing the pedestrian fatality risk.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1300-1303

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.1300

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Online since:

June 2014

Authors:

Zhen Zhang*, Gui Fan Zhao, Na Yang, Xiao Cheng

Keywords:

Fatality Risk, Impact Speed, Logistic Regression, Pedestrian Traffic Accident

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* - Corresponding Author

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