Earthquake risk perception in Belgrade: implications for disaster risk management
Earthquake risk perception in Belgrade: implications for disaster risk management
Author(s): Vladimir M. Cvetković, Jelena PlanićSubject(s): Politics / Political Sciences, Social Sciences, Geography, Regional studies
Published by: Naučno-stručno društvo za upravljanje rizicima u vanrednim situacijama
Keywords: disasters; earthquake; risk perception; management; preparedness
Summary/Abstract: Difficulties in the disaster management process are caused by many factors such as the complexity and fast-spreading harmful effects of hazards, lack of timely and accurate information, difficulty in making key decisions, inability to assess the situation in a short time, complexity of managing necessary resources, etc. For these reasons, effective disaster response is conditioned by the availability of a variety of data stored in numerous international and national databases that can be used in real time. In addition, decision makers are forced to use a variety of information systems and tools that allow them to make quick and accurate calculations in order to make appropriate decisions in a particular situation. Guided by this, the authors, using the method of content analysis and literature review, identify, analyze and comprehensively systematize and describe the significant characteristics of such databases and information systems. The aim of this paper is the scientific description of information and logistics systems and databases that are important for disaster management. The scientific significance of the paper is reflected in the systematization of scientific knowledge about the advantages and disadvantages of using information systems and databases on disasters. In contrast, the social implications of the paper are reflected in informing competent services about the existence and possibilities of using information systems and databases in specific cases of disaster management.
Journal: International Journal of Disaster Risk Management
- Issue Year: 4/2022
- Issue No: 1
- Page Range: 69-88
- Page Count: 20
- Language: English