Journal of Risk Analysis and Crisis Response

Volume 11, Issue 1, April 2021, Pages 36 - 44

Research on Information Channel of Climate Change Risk Perception of Shaanxi People

Authors
Si Wen Xue1, 3, *, ORCID, Qi Zhou1, 2, 3
1College of Geography and Environment, Baoji College of Arts and Sciences, Baoji 721013, China
2Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, Baoji College of Arts and Sciences, Baoji 721013, China
3Key Research Center of Socialism with Chinese Characteristics of Shaanxi Province (Baoji Base), Baoji 721013, China
*Corresponding author. Email: 1213268775@qq.com
Corresponding Author
Si Wen Xue
Received 26 December 2020, Accepted 29 March 2021, Available Online 9 April 2021.
DOI
https://doi.org/10.2991/jracr.k.210331.001How to use a DOI?
Keywords
Shaanxi Province, ANN neural network model, CART decision tree model, information channel of climate change risk perception
Abstract

We take Shaanxi Province as the research area, aiming at exploring the information channel or path of climate change risk perception of Shaanxi people. It is desirable for us to carry out information channel or path classification of climate change risk perception based on survey data involving 5493 people in Shaanxi Province. Firstly, we use a Back Propagation (BP) neural network method to fit the information path of climate change risk perception. Secondly, a decision tree model is adopted to classify information channels of climate change risk perception. The results show that 300 neurons are needed in the information channel of climate change risk perception of Shaanxi people. The first path which influences climate change risk perception of Shaanxi people is as follows: indirect perception–direct perception–indirect perception–conductive perception. The second path is indirect perception–conductive perception. The third path is as below: indirect perception–direct perception–conductive perception, which also impacts climate change risk perception. According to varying information channels or paths of climate change risk perception, the public can formulate different risk management strategies to improve the level of climate change risk perception.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
11 - 1
Pages
36 - 44
Publication Date
2021/04
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jracr.k.210331.001How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Si Wen Xue
AU  - Qi Zhou
PY  - 2021
DA  - 2021/04
TI  - Research on Information Channel of Climate Change Risk Perception of Shaanxi People
JO  - Journal of Risk Analysis and Crisis Response
SP  - 36
EP  - 44
VL  - 11
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jracr.k.210331.001
DO  - https://doi.org/10.2991/jracr.k.210331.001
ID  - Xue2021
ER  -