Typhoon Risk Perception: A Case Study of Typhoon Lekima in China

Jiting Tang; Saini Yang; Yimeng Liu; Kezhen Yao; Guofu Wang

doi:10.1007/s13753-022-00405-6

Volume 13 Issue 2

Jul. 2022

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Article Navigation > International Journal of Disaster Risk Science > 2022 > 13(2): 261-274

Jiting Tang, Saini Yang, Yimeng Liu, Kezhen Yao, Guofu Wang. Typhoon Risk Perception: A Case Study of Typhoon Lekima in China[J]. International Journal of Disaster Risk Science, 2022, 13(2): 261-274. doi: 10.1007/s13753-022-00405-6

Citation:

Jiting Tang, Saini Yang, Yimeng Liu, Kezhen Yao, Guofu Wang. Typhoon Risk Perception: A Case Study of Typhoon Lekima in China[J]. International Journal of Disaster Risk Science, 2022, 13(2): 261-274. doi: 10.1007/s13753-022-00405-6

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Typhoon Risk Perception: A Case Study of Typhoon Lekima in China

doi: 10.1007/s13753-022-00405-6

Jiting Tang^1,2,4,
Saini Yang^{1,2,3,4
,
,},
Yimeng Liu^1,2,4,
Kezhen Yao^1,2,4,
Guofu Wang⁵

1 Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, 100875, China;
2 State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China;
3 School of National Safety and Emergency Management, Beijing Normal University, Beijing, 100875, China;
4 Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China;
5 National Climate Center, Beijing, 100081, China

Funds:

(No.

2022C03107),

This study was supported by the National Key Research and Development Program of China (No. 2018YFC1508903), the Science Technology Department of Zhejiang Province

and the International Center for Collaborative Research on Disaster Risk Reduction.

Available Online: 2022-07-06

Abstract

Abstract

The typhoon is one major threat to human societies and natural ecosystems, and its risk perception is crucial for contextualizing and managing disaster risks in different social settings. Social media data are a new data source for studying risk perception, because such data are timely, widely distributed, and sensitive to emergencies. However, few studies have focused on crowd sensitivity variation in social media data-based typhoon risk perception. Based on the regional disaster system theory, a framework of analysis for crowd risk perception was established to explore the feasibility of using social media data for typhoon risk perception analysis and crowd sensitivity variation. The goal was to quantitatively analyze the impact of hazard intensity and social and geographical environments on risk perception and its variation among population groups. Taking the Sina Weibo data during Typhoon Lekima of 2019 as an example, we found that: (1) Typhoon Lekima-related Weibo public attention changed in accordance with the evolution of the typhoon track and the number of Weibo posts shows a significantly positive correlation with disaster losses, while socioeconomic factors, including population, gross domestic product, and land area, are not explanatory factors of the spatial distribution of disaster-related Weibo posts; (2) Females, nonlocals with travel plans, and people living in areas with high hazard intensity, low elevation, or near waterbodies affected by Lekima paid more attention to the typhoon disaster; and (3) Descriptions of rainfall intensity by females are closer to the meteorological observation data.
- China,
- Crowd sensitivity,
- Regional disaster system theory,
- Risk perception,
- Social media,
- Typhoon Lekima

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References(44)

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