Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model

Table 1

Variable used in model.

Latent variable	Observed indicator variable
Sociodemographics	SD1: gender
	SD2: age
	SD3: driving years
	SD4: how long have you worked in this city?
	SD5: occupation
	SD6: education
Parking App attributes	PAA1: parking App provides accurate information of parking charges.
	PAA2: parking App provides accurate information of the number of available parking spaces.
	PAA3: parking App needs to open parking reservation function.
	PAA4: parking App needs to open the function of internal guidance and parked vehicles track inside parking area.
	PAA5: parking App needs to open electronic payment function.
	PAA6: the update speed of parking information by parking App is fast and timely.
Perceived usefulness	PU1: it helps to check the parking App when looking for available parking space.
	PU2: always checking the parking information by parking App while looking for available parking space.
Trust in parking App	TPA1: the parking information by parking App is insignificant.
	TPA2: I have more trust in my own parking experience than parking App.
Perceived ease of use	PEOU1: when looking for available parking lot, checking the parking App can be a hassle.
	PEOU2: checking the parking App will take more time and cause inconvenience.
Intention to use parking App	IUPA1: be willing to use parking App when looking for available parking space.