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

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 examin...

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Autores principales: Lu, Xiaohui, Chan, Faith Ka Shun, Li, Nan, Chen, Chuke, Chen, Wei-Qiang, Chan, Hing Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700821/
https://www.ncbi.nlm.nih.gov/pubmed/36434038
http://dx.doi.org/10.1038/s41598-022-24370-8
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author Lu, Xiaohui
Chan, Faith Ka Shun
Li, Nan
Chen, Chuke
Chen, Wei-Qiang
Chan, Hing Kai
author_facet Lu, Xiaohui
Chan, Faith Ka Shun
Li, Nan
Chen, Chuke
Chen, Wei-Qiang
Chan, Hing Kai
author_sort Lu, Xiaohui
collection PubMed
description 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.
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spelling pubmed-97008212022-11-27 Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities Lu, Xiaohui Chan, Faith Ka Shun Li, Nan Chen, Chuke Chen, Wei-Qiang Chan, Hing Kai Sci Rep Article 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. Nature Publishing Group UK 2022-11-24 /pmc/articles/PMC9700821/ /pubmed/36434038 http://dx.doi.org/10.1038/s41598-022-24370-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lu, Xiaohui
Chan, Faith Ka Shun
Li, Nan
Chen, Chuke
Chen, Wei-Qiang
Chan, Hing Kai
Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities
title Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities
title_full Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities
title_fullStr Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities
title_full_unstemmed Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities
title_short Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities
title_sort improving urban flood resilience via gdelt gkg analyses in china's sponge cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700821/
https://www.ncbi.nlm.nih.gov/pubmed/36434038
http://dx.doi.org/10.1038/s41598-022-24370-8
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