Analysis of Vehicle-Pedestrian Accident Risk Based on Simulation Experiments

Table 10

Comparison of the conclusions in this paper and other research.

Literature	Method	Significant risk factor	Data source
This paper	Multiple regression analysis and correlation analysis	Vehicle speed, vehicle type (flat-headed vehicles), and collision angle (rear-end collision)	PC-Crash simulation
[18]	Multilevel model	Pedestrian age and vehicle type (larger vehicles)	Pedestrian-vehicle collision data from 2015 to 2017 in South Korea
[21]	Partial least squares discriminant analysis	Pedestrian age, pedestrian gender, vehicle type (light machinery), and accident time	Fatal pedestrian crash in Tabriz, Iran, during 2014 to 2015
[22]	Multivariate logistic regression	Vehicle speed (in excess of 40 km/h) and collision location	Pedestrian-vehicle accident cases in Chongqing, China, from 2011 to 2015
[23]	Statistical tests	Vehicle type (trucks, light passenger vehicles) and light level	Fatal pedestrian accidents of low-speed vehicles in Japan from 2005 to 2014