Prediction and Impact Analysis of Passenger Flow in Urban Rail Transit in the Postpandemic Era

Table 1

Descriptive statistics of variables.

Factor types	Variable description	Variable types	Statistics
External factors	New daily confirmed cases	Discrete	Value: frequency
			0: 555
			1: 11
			2: 7
			3: 5
			4: 0
			5: 0
			6: 1
	Weather	Categorical	Value: frequency
			0 (clear): 57%
			1 (rainy): 43%
	Minimum air temperature (°C)	Continuous	Min: −6	Mean: 17
			Max: 29	STD: 8
	Maximum air temperature (°C)	Continuous	Min: −3	Mean: 23
			Max: 38	STD: 9
	Holiday	Categorical	Value: frequency
			0 (workday): 69%
			1 (holiday): 31%
Internal factors	Daily passenger flow (ten thousand passengers)	Continuous	Min: 181.4	Mean: 958.7
			Max: 1255.4	STD: 228.7

Note. STD denotes the standard deviation.