数字自发志愿者优化应急响应:从基于代理的建模分析的洞察力
Shan Gao1,2,3, Baian Zhu1,3, Xinyu Zhang4
1School of Public Administration, Central South University, Changsha, Hunan, China.
Risk analysis : an official publication of the Society for Risk Analysis
|November 20, 2025
概括
优化应急响应,这项研究表明,正式组织的持续信任是数字自发志愿者 (DSV) 的关键. 通过根据需求管理志愿者人数,自适应式众包提高了救援效率.
科学领域:
- 灾害管理 灾害管理
- 复杂系统科学 复杂系统科学
- 人与计算机的交互
背景情况:
- 传统的自上而下的应急响应系统在危机期间难以提高效率.
- 数字自发志愿者 (DSV) 提供了自下而上的方法,但面临着整合和协调的挑战.
- 现有的研究往往忽视了正式组织和DSV之间的动态相互作用.
研究的目的:
- 研究正式组织的持续信任如何影响DSV的有效性.
- 在应急响应的复杂自适应系统理论中探索自适应众包的原则.
- 确定协调DSV的最佳策略,以提高整体救援效率.
主要方法:
- 使用2021年河南暴雨数据开发和校准基于代理的模型.
- 进行反事实实验以模拟不同的信任和协调场景.
- 分析信息可访问性,信任侵蚀和救援效率之间的关系.
主要成果:
- 正式组织的持续信任是有效的DSV运营的基本要求;它的缺失导致效率崩.
- 适应式众包通过根据实时需求调节志愿者生成来提高效率,而不是通过最大化数量来提高效率.
- 仅仅是信息的可访问性无法弥补组织信任的缺乏.
结论:
- 有效的DSV众包需要动态的信任建设机制和适应性协调策略.
- 通过故意的系统设计,可以优化DSV自我组织,超越将其视为无法控制的力量.
- 这项研究为将非正式数字网络整合到正式应急响应框架中提供了新的视角.
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