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Risk-based sensitivity analysis of urban gas infrastructure in new district planning
Lei Gao1, Hao Liu1,2, Hui Lan3,4
1School of Economics and Management, University of Emergency Management, Sanhe, 065201, China.
Enhancing urban gas infrastructure resilience requires focusing on planning-phase interventions. Key leverage points include high-pressure pipeline proportion and seismic resistance, not just emergency response.
Area of Science:
- Urban planning
- Infrastructure engineering
- Risk management
Background:
- Urban gas infrastructure is vital for public safety but faces growing vulnerabilities with network expansion.
- Rapid urban development necessitates proactive strategies for ensuring the resilience of critical infrastructure.
- Existing resilience strategies often prioritize emergency response over foundational design.
Purpose of the Study:
- To develop a system dynamics framework for identifying key leverage points to improve urban gas infrastructure resilience in new districts.
- To analyze risk factors and their impact on the resilience of gas networks in developing urban areas.
- To inform planning and design decisions for more robust urban gas systems.
Main Methods:
- A system dynamics-based framework was developed to model gas infrastructure resilience.
- Analytic hierarchy process (AHP) weighting was integrated with system dynamics modeling.
- A case study in a new urban district in China utilized a three-tier indicator system with 32 risk factors.
Main Results:
- System's inherent resilience was identified as the most significant contributor to overall resilience.
- The proportion of high-pressure pipelines showed the highest sensitivity in the model.
- Population-infrastructure spatial coupling and building seismic resistance were also identified as sensitive indicators.
Conclusions:
- Planning-phase interventions targeting high-sensitivity indicators are the most efficient way to enhance urban gas infrastructure resilience.
- Foundational design considerations, such as pipeline type and seismic resistance, should be prioritized over emergency response.
- The study provides a data-driven approach to optimize resilience strategies for new urban gas infrastructure.
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