
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Urban Big Data and Sustainable Development Goals: Challenges and Opportunities

doi: 10.3390/su8121293
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.
- Chinese Academy of Sciences China (People's Republic of)
- University of Missouri United States
- University of Tokyo Japan
- International Institute for Applied Systems Analysis Austria
- Institute of Urban Environment China (People's Republic of)
330, Environmental effects of industries and plants, urban big data, big data research and education, TJ807-830, 710, sustainable development goals, TD194-195, Renewable energy sources, Environmental sciences, SDG targets and indicators, GE1-350, big data public policy
330, Environmental effects of industries and plants, urban big data, big data research and education, TJ807-830, 710, sustainable development goals, TD194-195, Renewable energy sources, Environmental sciences, SDG targets and indicators, GE1-350, big data public policy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).68 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
