The potential for using volunteered geographic information in pervasive health computing applications
The potential for using volunteered geographic information in pervasive health computing applications
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DOI：
10.1007/s12652-012-0149-4
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发表时间：
2013-12-01
影响因子：
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通讯作者：
Ciepluch, Blazej
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文献类型：
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作者：
Mooney, Peter;Corcoran, Padraig;Ciepluch, Blazej
大众地理信息（VGI）或地理空间众包是公民（志愿者）贡献有关地球和环境的数据和信息，这些数据和信息显式或隐式地进行地理参考，然后通过OpenStreetMap等合作项目或Flickr，Twitter和Facebook等社交媒体进行传播。VGI的普及在很大程度上是由于公民使用智能手机等消费设备来收集越来越精确的位置信息和其他环境信息。在本文中，我们描述了使用VGI在普及健康计算应用的潜力。普适健康计算致力于通过消除时间和位置的限制，随时随地向任何人提供医疗保健（服务或信息）。我们使用OpenStreetMap（OSM）项目作为一个非常成功的VGI项目的案例研究。我们分析了OSM的优势，其目前的适用性，普及健康计算，如果它是一个可持续的选择，作为一个空间信息的来源，普及计算技术，特别是在医疗保健服务的信息是有限的或困难的领域。本文最后总结了VGI集成到普及健康计算的优势和挑战，并概述了一些关键问题，需要进一步的跨学科研究。
Volunteered geographic information (VGI), or geospatial crowdsourcing, is where citizens (volunteers) contribute data and information about the earth and environment that is explicitly or implicitly georeferenced and then disseminated via collaborative projects such as OpenStreetMap or social media such as Flickr, Twitter, and Facebook. VGI popularity is due in no small part to citizens making use of consumer devices, such as smartphones, to collect increasingly precise locational information and other environmental information. In this paper we describe the potential for using VGI in pervasive health computing applications. Pervasive health computing strives to provide healthcare (services or information) to anyone, at anytime, and anywhere by removing constraints of time and location. We use the OpenStreetMap (OSM) project as a case-study of a very successful VGI project. We analyse the strengths of OSM, its current applicability to pervasive health computing, and if it is a sustainable option for use as a source of spatial information for pervasive computing technologies, particularly in areas where access to information on healthcare services is limited or difficult. The paper closes by summarizing the advantages and challenges of VGI integration into pervasive health computing and outlining some of the key issues where further cross-disciplinary research is required.