RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study

Table 18

% annual MRT revenue generated among different customer groups in 2018 and 2019.

Fare charge (NTD)	2018 contribution			2019 contribution
	1-potential	2-vulnerable	3-loyal	1-potential	2-vulnerable	3-loyal
0∼10	0.06	0.35	0.21	0.53	0.11	0
11∼20	6.48	30.26	22.2	45.16	10.45	5.49
21∼30	1.94	14.07	11.05	21.98	3.2	0.52
31∼40	0.8	6.71	5.78	11.12	1.35	0.05
41∼50	0.02	0.04	0.03	0.02	0.01	0
Total	9.3	51.43	39.27	78.81	15.12	6.06