Looking back in the rearview: Insights into Queensland’s rear-end crashes

Figures & data

Figure 1. Count of crashes by year and crash nature in Queensland from 2001 to 2021.

Table 1. Crashes by crash nature and severity of crash.

Type of crash	Fatal (%)	Hospitaliza­tion (%)	Medical treatment (%)	Minor injury (%)	Property damage only (%)	Grand total (%)
Angle	14.24	29.08	30.06	30.07	31.78	29.94
Collision, miscellaneous	0.24	0.10	0.07	0.06	0.12	0.09
Fall from vehicle	4.64	5.20	2.63	2.04	0.04	2.73
Head-on	15.91	3.83	1.71	1.41	1.28	2.41
Hit animal	0.81	1.07	0.67	0.72	1.37	0.96
Hit object	34.91	25.60	14.71	14.58	29.29	21.72
Hit parked vehicle	1.39	3.01	2.24	2.41	6.11	3.40
Hit pedestrian	11.36	6.88	4.08	3.37	0.00	3.96
Non-collision, miscellaneous	0.05	0.14	0.29	0.19	0.21	0.21
Other	0.00	0.00	0.03	0.02	0.01	0.02
Overturned	9.03	6.46	3.96	4.01	5.17	5.08
Rear-end	3.99	14.42	34.53	35.17	19.73	24.62
Sideswipe	3.34	4.11	4.91	5.79	4.70	4.72
Struck by an external load	0.07	0.09	0.11	0.17	0.18	0.13
Struck by an internal load	0.02	0.01	0.01	0.00	0.00	0.01

Figure 2. Results from tree model 1: Environmental characteristics associated with rear-end crashes vs. other crashes. Each node box shows (i) the most likely class (i.e., rear-end crash or other crash), (ii) the conditioned probability to be a crash other than a rear-end, (iii) the conditioned probability to be a rear-end crash, and (iv) the percentage of observations in that node.

Figure 3. Results from tree model 2: Personal and vehicle characteristics associated with being at fault vs. not at fault in a rear-end crash. Each node box shows (i) the most likely class (i.e., at fault or not), (ii) the conditioned probability to be not at fault, (iii) the conditioned probability to be at fault, and (iv) the percentage of observations in that node.