Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis
Joint Authors
Chen, Huajun
Zhang, Ningyu
Chen, Jiaoyan
Chen, Xi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
With the design and development of smart cities, opportunities as well as challenges arise at the moment.
For this purpose, lots of data need to be obtained.
Nevertheless, circumstances vary in different cities due to the variant infrastructures and populations, which leads to the data sparsity.
In this paper, we propose a transfer learning method for urban waterlogging disaster analysis, which provides the basis for traffic management agencies to generate proactive traffic operation strategies in order to alleviate congestion.
Existing work on urban waterlogging mostly relies on past and current conditions, as well as sensors and cameras, while there may not be a sufficient number of sensors to cover the relevant areas of a city.
To this end, it would be helpful if we could transfer waterlogging.
We examine whether it is possible to use the copious amounts of information from social media and satellite data to improve urban waterlogging analysis.
Moreover, we analyze the correlation between severity, road networks, terrain, and precipitation.
Moreover, we use a multiview discriminant transfer learning method to transfer knowledge to small cities.
Experimental results involving cities in China and India show that our proposed framework is effective.
American Psychological Association (APA)
Zhang, Ningyu& Chen, Huajun& Chen, Jiaoyan& Chen, Xi. 2016. Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099649
Modern Language Association (MLA)
Zhang, Ningyu…[et al.]. Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1099649
American Medical Association (AMA)
Zhang, Ningyu& Chen, Huajun& Chen, Jiaoyan& Chen, Xi. Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099649
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099649