Analysis on the Evaluation of Airport Intelligence Level and Its Obstacle Diagnosis Based on DPSIR-TOPSIS Model

Table 1

Evaluation index and weights for airport intelligence level.

Target layer	Subsystem layer	Indicator layer	Nature	AHP method	Entropy method	Combined weights
Airport intelligence level evaluation	Driving force	GDP per capita	+	0.0617	0.0361	0.0489
		Regional fiscal revenue growth rate	+	0.0543	0.0528	0.0536
		Number of permanent residents	+	0.0580	0.0273	0.0426
		Proportion of tertiary industry	+	0.1109	0.0495	0.0802
		Annual air passenger volume	+	0.0580	0.0288	0.0434
		Annual air cargo volume	+	0.0305	0.0418	0.0362
	Pressure	Hours of work per person in ground service	-	0.0136	0.0469	0.0303
		Labor cost ratio	-	0.0473	0.0593	0.0533
		Air-rail intermodal transport level	+	0.0306	0.0379	0.0342
		Average travel time of passengers	-	0.0215	0.0322	0.0269
	State	Fixed assets	+	0.0739	0.0378	0.0559
		Intangible assets	+	0.0418	0.0512	0.0465
		Number of self-service consignment devices	+	0.0466	0.0286	0.0376
		Number of self-service check-in devices	+	0.0180	0.0464	0.0322
		Free Wi-Fi coverage	+	0.0442	0.0375	0.0408
		Number of passenger service applets	+	0.0112	0.0254	0.0183
	Impact	Total airport revenue	+	0.0331	0.0304	0.0318
		Proportion of nonaviation revenue	+	0.0153	0.0579	0.0366
		Passenger satisfaction	+	0.0217	0.0454	0.0335
		Comprehensive environmental protection level	+	0.0100	0.0375	0.0237
	Response	Degree of propaganda of intelligence concept	+	0.0235	0.0284	0.0259
		Intangible assets and R&D investment	+	0.0334	0.0394	0.0364
		Degree of policy support	+	0.0516	0.0387	0.0452
		Fixed asset investment	+	0.0893	0.0828	0.0860