A New Quantitative Method for Studying the Vulnerability of Civil Aviation Network System to Spatially Localized Hazards

Hang Li; Xiao-Bing Hu; Xiaomei Guo; Zhen Xu; P. H. A. J. M. van Gelder

doi:10.1007/s13753-016-0098-1

Article Contents

Article Navigation > International Journal of Disaster Risk Science > 2016 > 7(3): 245-256

Hang Li, Xiao-Bing Hu, Xiaomei Guo, Zhen Xu, P. H. A. J. M. van Gelder. A New Quantitative Method for Studying the Vulnerability of Civil Aviation Network System to Spatially Localized Hazards[J]. International Journal of Disaster Risk Science, 2016, 7(3): 245-256. doi: 10.1007/s13753-016-0098-1

Citation:

Hang Li, Xiao-Bing Hu, Xiaomei Guo, Zhen Xu, P. H. A. J. M. van Gelder. A New Quantitative Method for Studying the Vulnerability of Civil Aviation Network System to Spatially Localized Hazards[J]. International Journal of Disaster Risk Science, 2016, 7(3): 245-256. doi: 10.1007/s13753-016-0098-1

Citation:

Hang Li, Xiao-Bing Hu, Xiaomei Guo, Zhen Xu, P. H. A. J. M. van Gelder. A New Quantitative Method for Studying the Vulnerability of Civil Aviation Network System to Spatially Localized Hazards[J]. International Journal of Disaster Risk Science, 2016, 7(3): 245-256. doi: 10.1007/s13753-016-0098-1

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A New Quantitative Method for Studying the Vulnerability of Civil Aviation Network System to Spatially Localized Hazards

doi: 10.1007/s13753-016-0098-1

1 Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;
2 State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;
3 Faculty of Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands;
4 School of Engineering, University of Warwick, Coventry, UK

Funds:

This work was supported in part by the National Basic Research Program of China (Grant No. 2012CB955404), the National Natural Science Foundation of China (Grant No. 61472041), and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 41321001). Some preliminary results of this study were presented at the 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC 2014), 8–11 October 2014, Qingdao, China.

Available Online: 2021-04-26

Abstract

Abstract

As an important infrastructure system, civil aviation network system can be severely affected by natural hazards. Although a natural hazard is usually local, its impact, through the network topology, can become global. Inspired by Wilkinson’s work in 2012, this article proposes a new quantitative spatial vulnerability model for network systems, which emphasizes the spreading impact of spatially localized hazards on these systems. This model considers hazard location and area covered by a hazard, and spatially spreading impact of the hazard (including direct impact and indirect impact through network topology) and proposes an absolute spatial vulnerability index and a relative spatial vulnerability index to reflect the vulnerability of a network system to local hazards. The model is then applied to study the spatial vulnerability of the Chinese civil aviation network system. The simulation results show that (1) the proposed model is effective and useful to study spatial vulnerability of civil aviation network systems as the results well explain the general situation of the Chinese civil aviation system; and (2) the Chinese civil aviation network system is highly vulnerable to local hazards when indirect impacts through network connections are considered.
- Civil aviation,
- Network system,
- Spatially localized hazards,
- Vulnerability

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References(39)

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