Assessment of Drivers’ Perceptions of Various Police Enforcement Strategies and Associated Penalties and Rewards

Table 9

Reported success and logistic model results for additional automated enforcement methods strategy.

Additional automated enforcement methods	Total	Gender		Age			Nationality
		Male	Female	18–25	26–50	51+	Qatari	Non-Qatari Arab	Others
Unsuccessful	125	98	27	44	48	33	16	64	45
Successful	321	245	76	127	125	69	84	166	71
% of success	72.0%	71.4%	73.8%	74.3%	72.3%	67.6%	84.0%	72.2%	61.2%
Variable			SE	Wald	df	Sig.	Odds ratio	95% CI for
								Lower	Upper
Age versus		−.094	.251	.141	1	.707	0.910	.556	1.488
Age [51 or more] versus		−.283	.282	1.008	1	.315	.754	.434	1.309
Gender [female] versus [male]		0.169	.259	0.425	1	.514	1.184	0.712	1.969
Nationality [non-Qatari Arab] versus [Qatari]		−.738	.312	5.576	1	.018	.478	.259	0.882
Nationality [others] versus [Qatari]		−1.198	.334	12.880	1	.000	.302	.157	0.581
Constant		1.740	.315	30.559	1	.000	5.695

It refers to significance at 5 percent level.