title: A Risk Radar driven by Internet of intelligences serving for emergency management in community.
abstract: Today, most of the commercial risk radars only have the function to show risks, as same as a set of risk matrixes. In this paper, we develop the Internet of intelligences (IOI) to drive a risk radar monitoring dynamic risks for emergency management in community. An IOI scans risks in a community by 4 stages: collecting information and experience about risks; evaluating risk incidents; verifying; and showing risks. Employing the information diffusion method, we optimized to deal with the effective information for calculating risk value. Also, a specific case demonstrates the reliability and practicability of risk radar.
authors.affiliation: Academy of Disaster Reduction and Emergency Management, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing 100875, China.
authors.forename: Chongfu
authors.initials: C
authors.lastname: Huang
authors.affiliation: Stuttgart Research Center for Interdisciplinary Risk and Innovation Studies, Stuttgart University, Seidenstr. 36, D-70174 Stuttgart, Germany. Electronic address: tong.wu@zirius.uni-stuttgart.de.
authors.forename: Tong
authors.initials: T
authors.lastname: Wu
authors.affiliation: Institute for Advanced Sustainability Studies, Berliner Str. 130, D-14467 Potsdam, Germany.
authors.forename: Ortwin
authors.initials: O
authors.lastname: Renn
mesh_terms: D002681:China; D004630:Emergencies; D033181:Information Dissemination; D020407:Internet; D012306:Risk
keywords: Community; Dynamic risk; Information diffusion; Internet of intelligences; Risk radar