Liu Wei, Qian Jiayu, Wu Songjiang
College of Public Administration and Law, Hunan Agricultural University, Changsha, China.
Heliyon. 2024 May 31;10(11):e32138. doi: 10.1016/j.heliyon.2024.e32138. eCollection 2024 Jun 15.
The natural disasters faced by modern urban systems are complex, with multiple disaster-causing factors coexisting and secondary disasters occurring concurrently. With emergency management moving towards smart, natural disaster response has shifted from emergency-centered response to pre-disaster prevention. How to improve the government's natural disaster emergency preparedness has become an important issue that needs to be addressed. Based on the TOE (Technology-Organization-Environment) framework, the fsQCA method was used to explore the improvement path of emergency preparedness capacity of 10 pilot units in China to deal with natural disasters in 2020. Analyze the group effects and interrelationships of technology level, simultaneous supporting facilities, organizational construction, financial investment, external pressure, and social repercussions. The results show that: there exist four conditional groupings of high emergency preparedness in two modes. Two modes are organization-environment dual-drive and technology-organization-environment triple-drive, which have multiple concurrencies and follow the principle of consistent results. There are substitution effects in the conditional groupings of high emergency preparedness. There are causal asymmetries in the conditional groupings of high emergency preparedness and non-high emergency preparedness. This study aims to explore the smart emergency preparedness of ten pilot and to provide ideas for the overall development of "smart emergency response" and the improvement of emergency preparedness for natural disasters.
现代城市系统面临的自然灾害复杂多样，多种致灾因素并存，次生灾害并发。随着应急管理向智能化迈进，自然灾害应对已从以应急为中心转向灾前预防。如何提高政府的自然灾害应急准备能力已成为一个亟待解决的重要问题。基于TOE（技术-组织-环境）框架，运用模糊集定性比较分析（fsQCA）方法，对2020年中国10个应对自然灾害的试点单位应急准备能力的提升路径进行探索。分析技术水平、配套设施同步性、组织建设、资金投入、外部压力和社会反响的群组效应及相互关系。结果表明：存在两种模式下高应急准备的四种条件组合。两种模式分别是组织-环境双驱动和技术-组织-环境三驱动，具有多种并发情况且遵循结果一致性原则。高应急准备的条件组合中存在替代效应。高应急准备和非高应急准备的条件组合中存在因果不对称性。本研究旨在探索十个试点的智能应急准备情况，为“智能应急响应”的整体发展以及自然灾害应急准备的提升提供思路。
