Applied Artificial Bee Colony Optimization Algorithm in Fire Evacuation Routing System

Table 6

ANOVA and post hoc tests regarding respondents’ age.

(a)

ANOVA test	Sum of squares	df	Mean square		Sig.
You are aware about fire evacuation procedures.
Between groups	3.763	3	1.254	.939	.425
Within groups	132.296	99	1.336
Total	136.058	102
The route to the assembly point is hard to find.
Between groups	2.168	3	.723	.540	.656
Within groups	132.589	99	1.339
Total	134.757	102
Require assistance when evacuate from building.
Between groups	2.415	3	.805	.616	.606
Within groups	129.410	99	1.307
Total	131.825	102
Fire evacuation signs which mark fire evacuation routes and exits are clear enough
Between groups	15.660	3	5.220	3.190	.027
Within groups	161.971	99	1.636
Total	177.631	102
The information provided by fire action plan in building is clear enough.
Between groups	14.921	3	4.974	2.355	.077
Within groups	209.060	99	2.112
Total	223.981	102
Additional emergency exit guidance signs are required
Between groups	2.162	3	.721	1.007	.393
Within groups	70.867	99	.716
Total	73.029	102

(b)

Post hoc test Tukey HSD regarding “fire evacuation signs which mark fire evacuation routes and exits are clear enough”
() Age	() Age	Mean difference ()	Std. error	Sig.	95% confidence interval
					Lower bound	Upper bound
Below 18	19–30	−.988	.434	.111	−2.12	.15
	31–50	−.141	.510	.993	−1.47	1.19
	51–70	−.800	.572	.503	−2.29	.69
19–30	Below 18	.988	.434	.111	−.15	2.12
	31–50	.847	.348	.077	−.06	1.76
	51–70	.188	.434	.973	−.95	1.32
31–50	Below 18	.141	.510	.993	−1.19	1.47
	19–30	−.847	.348	.077	−1.76	.06
	51–70	−.659	.510	.570	−1.99	.67
51–70	Below 18	.800	.572	.503	−.69	2.29
	19–30	−.188	.434	.973	−1.32	.95
	31–50	.659	.510	.570	−.67	1.99