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Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management

机译:超越数据收集:使用VGI和地理社交媒体进行灾害管理的研究目标和方法

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This paper investigates research using VGI and geo-social media in the disaster management context Relying on the method of systematic mapping, it develops a classification schema that captures three levels of main category, focus, and intended use, and analyzes the relationships with the employed data sources and analysis methods. It focuses the scope to the pioneering field of disaster management but the described approach and the developed classification schema are easily adaptable to different application domains or future developments. The results show that a hypothesized consolidation of research, characterized through the building of canonical bodies of knowledge and advanced application cases with refined methodology, has not yet happened. The majority of the studies investigate the challenges and potential solutions of data handling, with fewer studies focusing on socio-technological issues or advanced applications. This trend is currently showing no sign of change, highlighting that VGI research is still very much technology-driven as opposed to theory- or application-driven. From the results of the systematic mapping study, the authors formulate and discuss several research objectives for future work, which could lead to a stronger, more theory-driven treatment of the topic VGI in GIScience. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文在灾害管理环境中使用VGI和地缘社会媒体对研究进行了调查,并依靠系统映射的方法,开发了一种分类模式,该模式捕获了三个主要类别,重点和预期用途级别,并分析了与受雇者的关系数据来源和分析方法。它将范围集中在灾难管理的开拓领域,但是所描述的方法和已开发的分类架构很容易适应不同的应用领域或未来的发展。结果表明,以规范的知识体系和先进的应用案例以及完善的方法论为特征的假设性研究整合尚未发生。大多数研究调查了数据处理的挑战和潜在解决方案,而较少关注社会技术问题或高级应用程序的研究。目前,这种趋势没有任何变化的迹象,这表明与理论或应用程序驱动相比,VGI研究仍然很大程度上是技术驱动的。根据系统制图研究的结果,作者拟定并讨论了未来研究的几个研究目标,这可能导致对GIScience中的VGI主题进行更强大,更理论驱动的处理。 (C)2016 Elsevier Ltd.保留所有权利。

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