Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

Evaluation of the Disaster Resilience of the Commercial Complex Based on the Cloud Model

Download18 downloads
  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346430,
        author={Huilin  Zhang and Xiaoqun  Wang and Bin  Hu},
        title={Evaluation of the Disaster Resilience of the Commercial Complex Based on the Cloud Model},
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={commercial complex; disaster; resilience; risk assessment},
        doi={10.4108/eai.15-3-2024.2346430}
    }
    
  • Huilin Zhang
    Xiaoqun Wang
    Bin Hu
    Year: 2024
    Evaluation of the Disaster Resilience of the Commercial Complex Based on the Cloud Model
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346430
Huilin Zhang1, Xiaoqun Wang1,*, Bin Hu1
  • 1: Shanghai Institute of Technology
*Contact email: wxq@sit.edu.cn

Abstract

In order to enhance the accuracy and rationality of disaster-oriented resilience assessment for commercial complexes, we have developed a resilience assessment model based on a combination of the weighted-sum method and cloud model. Firstly, through literature review and on-site investigation, we conducted an analysis of both natural and non-natural disaster risks faced by commercial complexes and established an indicator system. Subsequently, employing a combination of Analytic Hierarchy Process (AHP) and entropy weight method, we allocated weights to resilience indicators. Further, in conjunction with the cloud model, we determined the resilience assessment levels. Finally, we validated the proposed methods based on the specific situation of a particular commercial complex.The results demonstrate that the resilience assessment for the specific commercial complex yielded a classification of "relatively good resilience," which aligns well with the actual conditions. This validation underscores the reliability and effectiveness of the model. The findings provide a theoretical foundation for enhancing the resilience of commercial complexes, particularly from a disaster perspective.