Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7924
Title: Perception of sponge city for achieving circularity goal and hedge against climate change: A study on Weibo
Authors: Zeng, Liyun 
Prof. LI Yi Man, Rita 
Zeng, Huiling 
Song, Lingxi 
Issue Date: 2024
Source: International Journal of Climate Change Strategies and Management, 2024, vol. 16(3), pp. 362-384.
Journal: International Journal of Climate Change Strategies and Management 
Abstract: Purpose Global climate change speeds up ice melting and increases flooding incidents. China launched a sponge city policy as a holistic nature-based solution combined with urban planning and development to address flooding due to climate change. Using Weibo analytics, this paper aims to study public perceptions of sponge city. Design/methodology/approach This study collected 53,586 sponge city contents from Sina Weibo via Python. Various artificial intelligence tools, such as CX Data Science of Simply Sentiment, KH Coder and Tableau, were applied in the study. Findings 76.8% of public opinion on sponge city were positive, confirming its positive contribution to flooding management and city branding. 17 out of 31 pilot sponge cities recorded the largest number of sponge cities related posts. Other cities with more Weibo posts suffered from rainwater and flooding hazards, such as Xi'an and Zhengzhou. Originality/value To the best of the authors’ knowledge, this study is the first to explore the public perception of sponge city in Sina Weibo.
Description: Open access
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/7924
ISSN: 1756-8692
1756-8706
DOI: 10.1108/IJCCSM-12-2022-0155
Appears in Collections:Economics and Finance - Publication

Show full item record

SCOPUSTM   
Citations

6
checked on Dec 29, 2024

Page view(s)

89
Last Week
3
Last month
checked on Dec 28, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.