Understanding the Factors That Are Associated with Motorcycle Crash Severity in Rural and Urban Areas of Ghana

Table 2

Descriptive statistics of variables used in model estimation.

Variable	Rural		Urban
	Frequency	Proportion	Frequency	Proportion
Roadway and environmental characteristics	3,429	81.5	6,266	94.7
Straight and flat road	3,429	81.5	6,266	94.7
Collision at 4-way stop	34	0.8	476	7.2
Collision at T junction	362	8.6	1,085	16.4
Gravel road	290	6.9	172	2.6
Paved roadway	2,503	59.5	4,208	63.6
Collision at signalized intersection	21	0.5	768	11.6
Wet pavement	29	0.7	40	0.6
Light rain condition	59	1.4	46	0.7
Poor visibility	13	0.3	13	0.2
Dark and unlit lighting condition	2,941	69.9	2,031	30.7
Motorcyclist factors
Rider age more than 60	72	1.7	60	0.9
Rider age between 45 and 60	332	7.9	483	7.3
Male rider	4,173	99.2	6,538	98.8
Rider age less than 21	635	15.1	834	12.6
Rider not at fault	1,027	24.4	1,667	25.2
Motorcycle factors
Steering defect	97	2.3	112	1.7
Multiple motorcycle defects	29	0.7	53	0.8
Wet pavement	29	0.7	40	0.6
Collision type
Light rain condition	59	1.4	46	0.7
Poor visibility	13	0.3	13	0.2
Dark and unlit lighting condition	2,941	69.9	2,031	30.7
Head-on collision	1,186	28.2	999	15.1
Rider loss control	164	3.9	179	2.7
Sideswipe	673	16.0	1,191	18.0
Run-off-road	358	8.5	285	4.3
Collision with pedestrian	652	15.5	1,436	21.7
Multi-vehicle collision	3,105	73.8	4,837	73.1
Rear-end crash	862	20.5	1687	25.5