DATA MODEL DEVELOPMENT FOR FIRE RELATED EXTREME EVENTS: AN ACTIVITY THEORY APPROACH

• 成果类型: Article
• 署名作者: Chen, Rui; Sharman, Raj; Rao, H. Raghav; Upadhyaya, Shambhu J.
• 署名单位: Ball State University; State University of New York (SUNY) System; University at Buffalo, SUNY; Sogang University; State University of New York (SUNY) System; University at Buffalo, SUNY
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• 发表日期: 2013
• 页码: 125-+
• 关键词: Emergency Response; systems

摘要

Post-analyses of major extreme events reveal that information sharing is critical for effective emergency response. The lack of consistent data standards for current emergency management practice, however, hinders efficient critical information flow among incident responders. In this paper, we adopt a third-generation activity theory guided approach to develop a data model that can be used in the response to fire-related extreme events. This data model prescribes the core data standards to reduce information interoperability barriers. The model is validated through a three-step approach including a request for comment (RFC) process, case application, and prototype system test. This study contributes to the literature in the area of interoperability and data modeling; it also informs practice in emergency response system design.