globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2016.03.001
Scopus记录号: 2-s2.0-85019951970
论文题名:
Data poverty: A global evaluation for 2009 to 2013 - implications for sustainable development and disaster risk reduction
作者: Leidig M; , Teeuw R; M; , Gibson A; D
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 50
起始页码: 1
结束页码: 9
语种: 英语
英文关键词: Data poverty ; Global digital divide ; Global monitoring ; Sustainable development ; Time series
Scopus关键词: accessibility ; database ; digitization ; disaster management ; GIS ; global perspective ; information and communication technology ; monitoring ; risk assessment ; sustainable development ; time series ; Honshu ; Japan ; Miyagi ; Sendai ; Tohoku
英文摘要: The article presents a time series (2009–2013) analysis for a new version of the “Digital Divide” concept that developed in the 1990s. Digital information technologies, such as the Internet, mobile phones and social media, provide vast amounts of data for decision-making and resource management. The Data Poverty Index (DPI) provides an open-source means of annually evaluating global access to data and information. The DPI can be used to monitor aspects of data and information availability at global and national levels, with potential application at local (district) levels. Access to data and information is a major factor in disaster risk reduction, increased resilience to disaster and improved adaptation to climate change. In that context, the DPI could be a useful tool for monitoring the Sustainable Development Goals of the Sendai Framework for Disaster Risk Reduction (2015–2030). The effects of severe data poverty, particularly limited access to geoinformatic data, free software and online training materials, are discussed in the context of sustainable development and disaster risk reduction. Unlike many other indices, the DPI is underpinned by datasets that are consistently provided annually for almost all the countries of the world and can be downloaded without restriction or cost. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80071
Appears in Collections:气候变化事实与影响

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作者单位: University of Portsmouth, School of Earth and Environmental Sciences, Centre for Applied Geosciences, Burnaby Building, Burnaby Road, Portsmouth, Hampshire, United Kingdom

Recommended Citation:
Leidig M,, Teeuw R,M,et al. Data poverty: A global evaluation for 2009 to 2013 - implications for sustainable development and disaster risk reduction[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,50
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