Safety Evaluation and Management Optimization Strategies for Building Operations Under the Integrated Metro Station–Commercial Development Model: A Case Study
With the rapid development of metro–commercial integration, ensuring the safety of building operations has become increasingly critical. This study proposes a comprehensive safety evaluation framework tailored to integrated metro–commercial complexes. The framework establishes a hierarchical indicator system encompassing risk management, human safety management, facility and equipment safety, intelligent information management, and integrated crowd and operational risk. By combining historical records, real-time sensor data, and management logs, secondary indicators are quantified and normalized, while a hybrid weighting method integrating expert judgment and statistical analysis ensures both theoretical validity and empirical robustness. A case study demonstrates the framework’s applicability, yielding an overall operational safety score of 0.601, which corresponds to a “Moderate” level. Detailed analysis identifies deficiencies in flood resilience, intelligent monitoring reliability, and crowd-related fire risks, underscoring the complexity of safety challenges in such facilities. Targeted optimization measures—including enhanced drainage redundancy, condition-based equipment maintenance, improved intelligent monitoring, evacuation corridor expansion, and catering fire safety upgrades—are shown to substantially improve the composite safety index and operational resilience. This study contributes a dynamic, data-driven, and interpretable evaluation methodology that not only supports scientific safety management in metro–commercial buildings but also provides a reference for broader applications in multifunctional urban infrastructure.
Authors
- Xiong‐Fei Pan (ORCID: https://orcid.org/0000-0002-9350-9230)
- Heng Yu (ORCID: https://orcid.org/0000-0002-5228-6114)
- Xiaoyu Ju (ORCID: https://orcid.org/0000-0002-1374-6499)
- Yijing Huang (ORCID: https://orcid.org/0009-0005-4530-6032)
Institutions
- University of Science and Technology of China (CN)
- Chengdu University (CN)
Publication Details
- Journal
- Systems
- Published
- 2025-12-01
- DOI
- https://doi.org/10.3390/systems13121081
- Citations
- 1
- Primary Topic
- Infrastructure Resilience and Vulnerability Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.95