Table 6 Intermediate solutions for... | Emerald Publishing

Table 6

Intermediate solutions for factors influencing high travel intention

Model: TI = f(SA, IA, CI, EI, FV, SV) Algorithm: Quine-McCluskey
--- Intermediate solution ---
Frequency cutoff: 2
Consistency cutoff: 0.816916
	Raw coverage	Unique coverage	Consistency
SVFVEI*CI	0.56752	0.0304818	0.907261
∼SV∼FVEICI∼SA	0.174642	0.00798959	0.859769
∼SV∼FVCIIA∼SA	0.170734	0.00503683	0.818826
SVFVEI∼IASA	0.200782	0.00720793	0.877086
SV∼FVEIIASA	0.214503	0.0315241	0.909091
FVEICIIASA	0.534954	0.0236213	0.924786
SV∼FV∼EI∼CIIA*∼SA	0.141902	0.010508	0.834099
∼SVFV∼EI∼CIIA*SA	0.13756	0.0120711	0.816916
solution coverage: 0.731307
solution consistency: 0.856402

Model: TI = f(SA, IA, CI, EI, FV, SV)Algorithm: Quine-McCluskey
--- Intermediate solution ---
Frequency cutoff: 2
Consistency cutoff: 0.816916
	Raw coverage	Unique coverage	Consistency
SVFVEI*CI	0.56752	0.0304818	0.907261
∼SV∼FVEICI∼SA	0.174642	0.00798959	0.859769
∼SV∼FVCIIA∼SA	0.170734	0.00503683	0.818826
SVFVEI∼IASA	0.200782	0.00720793	0.877086
SV∼FVEIIASA	0.214503	0.0315241	0.909091
FVEICIIASA	0.534954	0.0236213	0.924786
SV∼FV∼EI∼CIIA*∼SA	0.141902	0.010508	0.834099
∼SVFV∼EI∼CIIA*SA	0.13756	0.0120711	0.816916
solution coverage: 0.731307
solution consistency: 0.856402

Source(s): Table created by authors