ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering· 2026Q2
Safety-Resilience Evaluation of Complex Underground Public Spaces in Cities
- 0citations
- Q2SCImago
- 2026year
Short summary
A new safety-resilience indicator system, validated in Fuzhou City, effectively evaluates complex underground public spaces (CUPS) and finds them to be at a 'good' resilience level, capable of resisting sudden risks.
AI-generated from the title and abstract; the full text is not read.
Key points
- A new safety-resilience indicator system was developed for complex underground public spaces (CUPS).
- The system integrates five dimensions: physical structure, environment, infrastructure, government management, and human traits, using 23 indicators.
- Weights for indicators were calculated using entropy weighting, sequential relationship analysis, and game theory.
- A case study in Fuzhou City validated the system, rating the CUPS' overall safety resilience as 'good'.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Urban underground venues offer valuable space resources deficient in core city areas. Extensive areas, multiple functions, notable congregation of visitors, heavy pedestrian traffic, and high safety risks characterize the complex underground public space (CUPS) in cities. This study aimed to improve the understanding of safety-resilience measurement and management of CUPS risks. A literature review identified five dimensions: physical structure, environmental status, infrastructure element, government management, and human trait, from which 23 safety-resilience indicators were distilled. The entropy weighting method, sequential relationship analysis method, and game theory combined weighting method calculated the indicators’ objective, subjective, and combined weights. A system dynamics tool analyzed and plotted causality and stock-flow diagrams and developed an equation to build the safety-resilience indicator system. A cloud generator computed safety-resilience-level parameters and generated the safety-resilience evaluation cloud model. A safety-resilience indicator system was constructed. A case study of Fuzhou City (China) was adopted to test and verify the new model. The results show that the empirical project’s overall safety resilience is rated as a good level, indicating that it can resist sudden risks to some extent. It verifies the effectiveness of the safety-resilience indicator system. Multidimensional safety-resilience improvement measures are recommended to resolve the identified problems. The results provide a theoretical basis and decision-making reference for governments and enterprises to formulate risk management strategies and improve the sustainable operation of CUPS.
The authors' abstract, as published at the source. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Safety Research
Safety ResearchSocial Sciences