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Spatio-temporal Characteristic Analysis and Countermeasure Suggestion of Airport Complaints in China
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Shenggui YANG1, 2, Ying TAN1, Zihan ZHAO1
Science Technology and Industry | 2025, 25(4) : 165 - 171
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Science Technology and Industry | 2025, 25(4): 165-171
• Industrial Development •
Spatio-temporal Characteristic Analysis and Countermeasure Suggestion of Airport Complaints in China
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Shenggui YANG1, 2, Ying TAN1, Zihan ZHAO1
Affiliations
  • 1 School of Airport Engineering and Management, Civil Aviation Flight University of China, Guanghan 618307, Sichuan, China
  • 2 Chengdu Soft Innovation Intelligence Association, Chengdu 610023, China
Published: 2025-02-25
Outline
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In order to effectively enhance the service quality of airports, the optimal scaling method was employed to conduct a spatio-temporal characteristic analysis of the airport passenger complaint data from the official website of the Civil Aviation Administration of China from 2010 to 2018. The following conclusions are as follows. Regarding temporal characteristics, passengers pay more attention to comfortance during the transportation off-season, punctuality during the transportation peak season, and convenience during the transportation low season. Regarding spatial characteristics, the complaint themes in East China and Central-South China regions are more inclined towards comfort, those in Southwest and North China regions are more inclined towards punctuality, those in Northwest and Northeast regions are more inclined towards convenience, and those in Xinjiang region are more concerned about safety. Countermeasure suggestions are provided to tailor measures to suit local conditions to the specific time and manage the whole process of the dealing about complaints.

civil aviation industry  /  airport  /  passenger complaints  /  temporal and spatial characteristics  /  suggestions for countermeasures
Shenggui YANG, Ying TAN, Zihan ZHAO. Spatio-temporal Characteristic Analysis and Countermeasure Suggestion of Airport Complaints in China[J]. Science Technology and Industry, 2025 , 25 (4) : 165 -171 .
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Year 2025 volume 25 Issue 4
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Article Info
  • Receive Date：2024-09-18
  • Online Date：2025-07-21
  • Published：2025-02-25
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  • Received：2024-09-18
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Affiliations
    1 School of Airport Engineering and Management, Civil Aviation Flight University of China, Guanghan 618307, Sichuan, China
    2 Chengdu Soft Innovation Intelligence Association, Chengdu 610023, China
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