An Affinity Propagation-Based Clustering Method for the Temporal Dynamics Management of High-Speed Railway Passenger Demand

Table 3

Comparison of our results with the actual situation.

	2014		2015
	Actual	Our proposed method	Actual	Our proposed method
Passenger demand satisfaction rate	83.6%	91.2%	85.0%	90.7%
Average train seat occupation rate	45.4%	61.1%	42.9%	60.3%
Direct passenger flow rate	56.7%	70.8%	60.1%	74.5%
Number of adjustments in line plan	6	6	6	6