Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks
Airport apron operations involve complex interactions among personnel, equipment, and environmental factors, posing significant safety challenges. To address these risks, this study establishes an innovative dual evaluation system combining static and dynamic methods to assess accident-inducing pote...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10965671/ |
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| author | Ruxin Wang Hong Yan Rui Kang Xiaolei Feng |
| author_facet | Ruxin Wang Hong Yan Rui Kang Xiaolei Feng |
| author_sort | Ruxin Wang |
| collection | DOAJ |
| description | Airport apron operations involve complex interactions among personnel, equipment, and environmental factors, posing significant safety challenges. To address these risks, this study establishes an innovative dual evaluation system combining static and dynamic methods to assess accident-inducing potential and risk propagation capability. Based on accident investigation reports from 2015 to 2022, a risk network with 82 nodes and 244 edges was constructed. Two static indicators—Target Oriented Centrality (TOC) and Accident Neighbor Risk Rate (ANRR)—were used to evaluate accident-inducing potential, while risk propagation capability was dynamically simulated using the Susceptible-Infectious-Recovered-Susceptible (SIRS) model, with Average Peak Infection Proportion (APIP) and Infection Cycle (APIC) as key metrics. Risk nodes were categorized into four clusters using spectral clustering, which was selected after comparing multiple algorithms with the Calinski-Harabasz (CH) index. Nodes were prioritized into three tiers based on accident-inducing potential and risk propagation capabilities. Results show that Tier 1 nodes (personnel and equipment) exhibit the highest accident-inducing potential, while Tier 2 nodes (management) play significant roles in risk propagation. Tier 3 nodes (environment) have limited direct impacts but may pose long-term risks. This system provides actionable insights to prioritize safety interventions, offering a robust framework for enhancing apron safety. |
| format | Article |
| id | doaj-art-a7e590147a554046beb9aad8baf7f6b3 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a7e590147a554046beb9aad8baf7f6b32025-08-20T03:18:26ZengIEEEIEEE Access2169-35362025-01-0113662386624910.1109/ACCESS.2025.356075010965671Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron NetworksRuxin Wang0Hong Yan1https://orcid.org/0009-0000-9276-9973Rui Kang2Xiaolei Feng3School of Airport, Civil Aviation Flight University of China, Guanghan, Sichuan, ChinaSchool of Airport, Civil Aviation Flight University of China, Guanghan, Sichuan, ChinaSchool of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, Sichuan, ChinaSchool of Airport, Civil Aviation Flight University of China, Guanghan, Sichuan, ChinaAirport apron operations involve complex interactions among personnel, equipment, and environmental factors, posing significant safety challenges. To address these risks, this study establishes an innovative dual evaluation system combining static and dynamic methods to assess accident-inducing potential and risk propagation capability. Based on accident investigation reports from 2015 to 2022, a risk network with 82 nodes and 244 edges was constructed. Two static indicators—Target Oriented Centrality (TOC) and Accident Neighbor Risk Rate (ANRR)—were used to evaluate accident-inducing potential, while risk propagation capability was dynamically simulated using the Susceptible-Infectious-Recovered-Susceptible (SIRS) model, with Average Peak Infection Proportion (APIP) and Infection Cycle (APIC) as key metrics. Risk nodes were categorized into four clusters using spectral clustering, which was selected after comparing multiple algorithms with the Calinski-Harabasz (CH) index. Nodes were prioritized into three tiers based on accident-inducing potential and risk propagation capabilities. Results show that Tier 1 nodes (personnel and equipment) exhibit the highest accident-inducing potential, while Tier 2 nodes (management) play significant roles in risk propagation. Tier 3 nodes (environment) have limited direct impacts but may pose long-term risks. This system provides actionable insights to prioritize safety interventions, offering a robust framework for enhancing apron safety.https://ieeexplore.ieee.org/document/10965671/Accident-inducing capabilityapron risk networkrisk propagationSIRS simulationspectral clustering |
| spellingShingle | Ruxin Wang Hong Yan Rui Kang Xiaolei Feng Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks IEEE Access Accident-inducing capability apron risk network risk propagation SIRS simulation spectral clustering |
| title | Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks |
| title_full | Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks |
| title_fullStr | Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks |
| title_full_unstemmed | Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks |
| title_short | Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks |
| title_sort | evaluation and classification of accident inducing and risk propagation in airport apron networks |
| topic | Accident-inducing capability apron risk network risk propagation SIRS simulation spectral clustering |
| url | https://ieeexplore.ieee.org/document/10965671/ |
| work_keys_str_mv | AT ruxinwang evaluationandclassificationofaccidentinducingandriskpropagationinairportapronnetworks AT hongyan evaluationandclassificationofaccidentinducingandriskpropagationinairportapronnetworks AT ruikang evaluationandclassificationofaccidentinducingandriskpropagationinairportapronnetworks AT xiaoleifeng evaluationandclassificationofaccidentinducingandriskpropagationinairportapronnetworks |