Journal of Risk Analysis and Crisis Response

Volume 6, Issue 4, December 2016, Pages 213 - 220

Public Risk Perception and Risk Communication of Typhoon Disaster

Authors
Zhihai Shang, Liping Li
Corresponding Author
Zhihai Shang
Received 14 October 2016, Accepted 5 November 2016, Available Online 30 December 2016.
DOI
https://doi.org/10.2991/jrarc.2016.6.4.6How to use a DOI?
Keywords
risk perception; risk communication; typhoon disaster
Abstract
Public risk perception is the basis for effective natural disaster risk communication, and the latter can strongly influence the former. Take typhoon disaster as an example, this paper constructs the theory model of 12 factors affecting risk perception from three dimensions by public individual characteristics, risk situational characteristics, risk communication efficiency, which influence the input, output and transmission of risk information. Then the theory was applied in typhoon disaster in Zhanjiang city, and it comes out that the theory is reliable. Finally, the contents of typhoon disaster risk perception capacity construction were given in this paper as risk communication capacity building, special platform construction and cultural environment of risk communication, which is the only way for effective risk communication.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
6 - 4
Pages
213 - 220
Publication Date
2016/12/30
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jrarc.2016.6.4.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Zhihai Shang
AU  - Liping Li
PY  - 2016
DA  - 2016/12/30
TI  - Public Risk Perception and Risk Communication of Typhoon Disaster
JO  - Journal of Risk Analysis and Crisis Response
SP  - 213
EP  - 220
VL  - 6
IS  - 4
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2016.6.4.6
DO  - https://doi.org/10.2991/jrarc.2016.6.4.6
ID  - Shang2016
ER  -