收藏切换
A two-layer assessment model for resilience of civil airport transport services in severe weather
收藏切换
PDF
Hang LI, Xinyue LIU, Xiaobing HU
China Safety Science Journal | 2025, 35(9) : 78 - 86
Less
收藏切换
China Safety Science Journal | 2025, 35(9): 78-86
Safety social science and safety management
A two-layer assessment model for resilience of civil airport transport services in severe weather
Full
Hang LI, Xinyue LIU, Xiaobing HU
Affiliations
  • College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
Published: 2025-09-28 doi: 10.16265/j.cnki.issn1003-3033.2025.09.1617
Outline
收藏切换

In order to enhance the ability of civil airports to cope with adverse weather conditions, a two-layer assessment model for airport transportation service resilience was proposed, addressing both the overall level and specific elements. The first-layer model—a cloud-based assessment of airport overall resilience—was based on a clear definition and understanding of airport transportation service resilience. Starting from the four core resilience capabilities of absorption, adaptation, recovery, and optimization, a resilience indicator system comprising 28 evaluation elements was established. Based on the cloud model, evaluation standard clouds were determined, and the numerical characteristics of each layer of indicator clouds were calculated layer by layer to assess the overall resilience level of the airport. The second-layer model-identification of key resilience elements of civil airports was based on "importance + obstacle degree" of airport elements considering the contribution and obstruction degree to the overall resilience of the airport, proposed methods to characterize the importance and obstacle degree of airport elements, and comprehensively identified the key elements of airport resilience. Subsequently, a case study was conducted using Airport A as an example. The results indicate that the indicator system and evaluation model constructed in this paper can accurately assess the resilience level of airport transportation services and identify key resilience factors. Airport A's overall transportation service resilience score was 0.284 7, which is at a high resilience level and consistent with the actual situation. Among these, employee emergency rescue capabilities, employee psychological qualities, and employee years of service are key factors affecting airport resilience levels and require special attention and improvement.

severe weather  /  civil airport  /  transportation service resilience  /  two-layer assessment model  /  cloud model  /  key resilience factors
Hang LI, Xinyue LIU, Xiaobing HU. A two-layer assessment model for resilience of civil airport transport services in severe weather[J]. China Safety Science Journal, 2025 , 35 (9) : 78 -86 . DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1617
Year 2025 volume 35 Issue 9
PDF
86
7
Cite this Article
BibTeX
Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.09.1617
  • Receive Date:2025-04-13
  • Online Date:2026-07-09
  • Published:2025-09-28
Article Data
Affiliations
History
  • Received:2025-04-13
  • Revised:2025-07-16
Funding
Affiliations
    College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
References
Share
https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2025.09.1617
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT