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来源类型Article
规范类型其他
DOI10.3390/su8121293
Urban Big Data and Sustainable Development Goals: Challenges and Opportunities.
Qin H; Zhang Y
发表日期2016
出处Sustainability 8 (12): e1293
出版年2016
语种英语
摘要Cities are perhaps one of the most challenging and yet enabling arenas for sustainable development goals. The Sustainable Development Goals (SDGs) emphasize the need to monitor each goal through objective targets and indicators based on common denominators in the ability of countries to collect and maintain relevant standardized data. While this approach is aimed at harmonizing the SDGs at the national level, it presents unique challenges and opportunities for the development of innovative urban-level metrics through big data innovations. In this article, we make the case for advancing more innovative targets and indicators relevant to the SDGs through the emergence of urban big data. We believe that urban policy-makers are faced with unique opportunities to develop, experiment, and advance big data practices relevant to sustainable development. This can be achieved by situating the application of big data innovations through developing mayoral institutions for the governance of urban big data, advancing the culture and common skill sets for applying urban big data, and investing in specialized research and education programs.
主题Advanced Systems Analysis (ASA)
关键词Big data public policy Big data research and education SDG targets and indicators Sustainable development goals Urban big data
URLhttp://pure.iiasa.ac.at/id/eprint/14235/
来源智库International Institute for Applied Systems Analysis (Austria)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/130707
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Qin H,Zhang Y. Urban Big Data and Sustainable Development Goals: Challenges and Opportunities.. 2016.
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