Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering

Table 6

Applicability of the proposed algorithm in Shanghai metro network.

Situation ID	Situation Name	OD pairs count	OD pairs percent	Passenger flow count	Passenger flow percent
		119918	100%	5313949	100%
1	OD pairs with unclear routes	23390	19.50%	606245	11.41%
2	OD pairs with similar travel time	7193	6.00%	98003	1.84%
3	OD pairs with small passenger flow	25737	21.46%	26810	0.50%
4	Noise data	4112	3.43%	95712	1.80%
	(Same in and out)
5	applicable OD pairs	53233	49.61%	4520205	84.44%