Abstract
This article is aimed at identifying the main risk behaviors of pedestrians, sorting them on the basis of risk levels, and, moreover, performing risk assessment and intervention for the pedestrian. In order to achieve this goal, this article analyzes a large amount of traffic accident data in Beijing and finds that the movable sight obstacle is an important cause for traffic accident between pedestrians and motor vehicle (hereinafter referred a vehicle–pedestrian accident). Some tables and figures display when and where the movable sight obstacle usually occurs and also shows their logical relationship with other causes. Based on the results of investigation and analysis, the vehicle–pedestrian mechanism diagram was established using the method of fault tree analysis. The diagram shows some key factors and their effect level leading to the accident. The key importance coefficient model was adopted to estimate the function of individual risk behavior quantitatively during the processing of accident. In order to take advantage of the key importance coefficient model, the following research was conducted: first, we analyzed traffic accident data from 2005 to 2014 to find common pedestrians risk behaviors. Second, since traffic accidents and movable sight obstacle are closely related to motor vehicle violations, we collected and analyzed the data of traffic enforcement from 2007 to 2014. Finally, taking into account the individual preferences of policemen, we interviewed 200 police officers and others to calibrate our estimates. Through these efforts, we sorted the pedestrians’ risk behaviors in table. Unlike past research, the object of this study is pedestrian risk behaviors and faults. Furthermore, we also gained understanding to the mechanism of vehicle–pedestrian accident, which was already applied to assessment and intervention for pedestrians in some primary schools in Beijing.
Highlights
As automobile transportation continues to increase around the world, bicyclists, pedestrians, and motorcyclists, known as vulnerable road users (VRUs), will become more susceptible to traffic crashes, especially in countries where traffic laws are poorly enforced.[1]
It will be able to prevent the vehicle–pedestrian accident caused by movable sight obstacle (MSO) and prevent the vehicle accidents coming from different directions
Mechanism diagram (Figure 2) demonstrates the logical relationship between events that may occur in the transportation system and the various causes directly leading to the accident
Summary
As automobile transportation continues to increase around the world, bicyclists, pedestrians, and motorcyclists, known as vulnerable road users (VRUs), will become more susceptible to traffic crashes, especially in countries where traffic laws are poorly enforced.[1]. Both the accident scene investigation and analysis of traffic accidents’ files found that the MSO playing an important role in vehicle–pedestrian accident leads to the above result. The formula cannot completely determine the specific value of dependent variable in most cases, it is almost impossible to get the exact top event probability; the study of comparable risk classification with the help of formula (3) can proceed more smoothly
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