To solve the issues such as various indicators,wide coverage,complex relationships among indicators,and non-uniform dimensions encountered in the evaluation process of airport intelligence degree,which make it difficult to conduct quantitative analysis,the traditional evaluation methods were optimized,and the improved technique for order preference by similarity to an ideal solution(TOPSIS)method was integrated with the analytic hierarchy process(AHP).Then,a zero-subjective relative(ZR)algorithm was proposed for the airport intelligence degree evaluation.To ensure the accuracy of the evaluation results,the weights of functional indicators in the airport intelligence evaluation system were calculated by using expert opinions and objective judgment results.At last,a case study of an airport in Jiangsu Province was given to evaluate the intelligence degree by using the ZR algorithm.Research results show that in 2018,the intelligence degree of the airport scores 65.64,and in 2022,the intelligence degree of the airport scores 77.08,indicating that various intelligent devices in the airport are constantly updated,and the intelligence degree of the airport improves constantly.The secondary security operation monitoring indicator under the airport emergency security improves by 65.7％in 2022 compared to 2018,the physical security screening indicator improves by 17.1％,and the emergency and security indicator improves by 16.2％.This can be explained by the fact that the airport vigorously developes the artificial intelligent analysis system in recent years,introduces the face recognition system at the terminal entrance and exit,and improves the station operation security monitoring platform.To a certain extent,it enhances the intelligence degree of airport security.The score of landside traffic indicator is 2.34 in 2018 and 2.54 in 2022,indicating no significant change,and the development of intelligence degree is slow.Therefore,resource investment should be strengthened in future construction.12 tabs,1 fig,31 refs.
civil airportevaluation of intelligence degreezero-subjective relative algorithmimproved TOPSIS methodweight calculation
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