School of Economics and Management, Tongji University, Shanghai 200092, China.
School of International Business Management, Shanghai International Studies University, Shanghai 201620, China.
Int J Environ Res Public Health. 2019 Jun 3;16(11):1962. doi: 10.3390/ijerph16111962.
The construction of smart cities is a theme of urban development, and building fires greatly threaten public safety and urban environmental governance, in which fire emergency management is one of the key factors. However, most studies on the evaluation of emergency response capacity ignore the process of improvement, as well as the intelligence and practicality of the results. The evaluation system of building fire emergency response capability maturity (FE-CMM) was innovatively proposed based on the capability maturity model (CMM), including the evaluation index, evaluation grade, evaluation method, and evaluation process. At the same time, a plug-in for evaluating fire emergency response capability was developed based on the building information modeling (BIM) platform. Finally, an empirical study was carried out in combination with the case of a district fire center. The research demonstrates that the evaluation system can effectively judge the maturity of fire emergency response capability, and the established plug-in can preliminarily realize the intelligent evaluation of building fire emergency response capability, which improves the practice and intelligence of the fire emergency response capability evaluation system when fully considering the process of improvement. It has guiding significance for ex ante control and refined management of building fires, thus providing support for urban public safety and environmental governance.
智慧城市建设是城市发展的主题，而建筑火灾极大地威胁着公共安全和城市环境治理，其中火灾应急管理是关键因素之一。然而，大多数应急响应能力评估研究都忽略了改进过程以及结果的智能性和实用性。基于能力成熟度模型（CMM），创新性地提出了建筑火灾应急响应能力成熟度评估体系（FE-CMM），包括评估指标、评估等级、评估方法和评估流程。同时，基于建筑信息模型（BIM）平台开发了火灾应急响应能力评估插件。最后，结合一个区消防中心的案例进行了实证研究。研究表明，该评估体系能够有效地判断火灾应急响应能力的成熟度，所建立的插件能够初步实现建筑火灾应急响应能力的智能评估，在充分考虑改进过程的情况下，提高了火灾应急响应能力评估体系的实践性和智能性。这对建筑火灾的事前控制和精细化管理具有指导意义，从而为城市公共安全和环境治理提供支持。
