Spatial Vulnerability of Network Systems under Spatially Local Hazards

Area of Science:

• Network Science
• Risk Assessment
• Spatial Analysis

Background:

• Hazards in network systems are often localized but can have widespread effects.
• Assessing the full impact of local hazards requires considering network topology.

Purpose of the Study:

• To develop a novel spatial vulnerability model for network systems.
• To quantitatively and qualitatively assess the impact of spatially local hazards.
• To introduce absolute spatial vulnerability index (ASVI) and relative spatial vulnerability index (RSVI).

Main Methods:

• Developed a spatial vulnerability model incorporating hazard location, area, and impact (direct and indirect).
• Proposed ASVI and RSVI for network vulnerability assessment.
• Analyzed the relationship between the new model and traditional network properties.

Main Results:

• The spatial vulnerability model effectively assesses the impact of local hazards on network systems.
• Case studies on the Chinese civil aviation and Beijing subway networks demonstrate the model's utility.
• The model's relationship with traditional network properties was verified.

Conclusions:

• The proposed spatial vulnerability model provides a robust framework for understanding hazard impacts in networks.
• ASVI and RSVI offer valuable metrics for network risk assessment.
• The model enhances the analysis of network resilience to localized disruptions.