中文版 | English
Title

Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities

Author
Corresponding AuthorChan,Faith Ka Shun; Li,Nan
Publication Years
2022-12-01
DOI
Source Title
EISSN
2045-2322
Volume12Issue:1
Abstract
Urban floods are the most severe disaster in most Chinese cities due to rapid urbanisation and climate challenges. Recently, media data analytics has become prominent in enhancing urban flood resilience. In this study, news media data from the GKG of the GDELT project was innovatively used to examine the pattern of news media responses towards urban flooding in China's Sponge City Programme (SCP) pilot cities. We find that public sentiments toward urban flood events have been more positive in SCP pilot cities from 2015 to 2021. News media responses towards urban floods exhibit strong seasonality, which is significantly connected with rainfall patterns. Most of the media articles were posted during the urban flood event. Finally, we suggest the opportunities and challenges in applying GKG data analytics and new technologies for urban flood resilience. The results can provide beneficial references to urban flood management strategies in China's Sponge Cities for associated policymakers and stakeholders.
URL[Source Record]
Language
English
SUSTech Authorship
Corresponding
Scopus EID
2-s2.0-85142522503
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/416481
DepartmentSouthern University of Science and Technology
Affiliation
1.Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen,361021,China
2.Nottingham University Business School,University of Nottingham Ningbo China,Ningbo,315100,China
3.Xiamen Key Lab of Urban Metabolism,Xiamen,361021,China
4.School of Geographical Sciences,University of Nottingham Ningbo China,Ningbo,315100,China
5.Water@Leeds,School of Geography,University of Leeds,Leeds,LS2 9JT,United Kingdom
6.Research Base for Shenzhen Municipal Policy & Development,Southern University of Science and Technology,Shenzhen,518000,China
7.University of Chinese Academy of Sciences,Beijing,100049,China
8.Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute,Ningbo,315100,China
Corresponding Author AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Lu,Xiaohui,Chan,Faith Ka Shun,Li,Nan,et al. Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities[J]. Scientific Reports,2022,12(1).
APA
Lu,Xiaohui,Chan,Faith Ka Shun,Li,Nan,Chen,Chuke,Chen,Wei Qiang,&Chan,Hing Kai.(2022).Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities.Scientific Reports,12(1).
MLA
Lu,Xiaohui,et al."Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities".Scientific Reports 12.1(2022).
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