Table 6

Cluster analysis results of travel behaviour, tourist satisfaction and benefits sought as input predictors of tourists travelling to Mpumalanga

ElementsCluster solutions
Cluster 1 Nature–escapistCluster 2 Cultured–naturist
Size
Percentage of sample
n = 293
79
n = 78
21
Traditional marketing source11.975.92
Travel planning3.586.84
Origin of residence
Percentage of sample
Gauteng
70.6
Not SA residents
93.6
Benefit history3.976.31
Online marketing sources2.545.05
Benefit learning4.176.55
Benefit culture4.446.70
Tourist satisfaction15.656.71
Spending moneyR5,001–R10,000 (41.6%)R10,000+ (82.1%)
Tourist satisfaction26.116.83
Benefit escape5.784.83
Benefit adventure3.334.26
Number travelling in a group7.7613.40
Benefit social bonding5.015.60
Online websites1.321.70
Highest level of educationGraduate (36.5%)Graduate (47.4%)
Benefit natural environment6.416.68
Benefit relax5.174.70
Number of nights spent in Mpumalanga3.814.29
GenderFemale (54.6%)Male (56.4%)
Benefit spending time with loved ones3.553.32
Traditional marketing source21.561.72

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