Influencing Factors of Public Participation in Meteorological Disaster Prevention and Mitigation

Abstract

Meteorological disasters have become a global challenge due to the increased prevalence and severity, and China is among the most affected countries. In this paper, based on a randomized survey in China, the authors employed a structural equation model to study the influencing factors of public participation in meteorological disaster prevention and mitigation (MDPM). It is found that the behavior of the government has a significant positive influence, with an influencing coefficient of 0.494 on the public’s willingness to participate in MDPM. The degree of community involvement also has a significant positive influence on the public’s willingness, with an influencing coefficient of 0.636. The public’s attention to meteorological events and ability to participate have less impact on their participation in MDPM, with coefficients of 0.057 and 0.075, respectively. The information acquisition has a significant negative impact, with an influencing coefficient of −0.084. There is a strong positive covariation between community participation and governmental behavior, with a covariance coefficient of 0.27, indicating that the two factors promote each other and together boost the public’s willingness to participate in MDPM.

Temporal and Spatial Pattern Evolution and Influencing Factors of the National Comprehensive Disaster-Reduction Demonstration Community in China

“…Research hotspots of CBDM mainly focus on community-based disaster risk management [15][16][17], community-based disaster risk reduction [18][19][20], community resilience drivers [21], barriers [22] and building [23], community disaster risk [24,25] and vulnerability [26,27] assessment, community disaster reduction capability evaluation [28][29][30], public participation [31][32][33], especially gendered participation in CBDM [34,35]. For example, Hosseini and Izadkhah [15] found that earthquake drills and community-based disaster risk management programs are highly beneficial for strengthening preparedness in Iran.…”

“…The Qijiawan community of the Hui people in Nanjing was taken as an example in order to build an evaluation index system of the disaster reduction ability of ethnic minority aggregation areas [28]. Based on a randomized survey in China, Duan et al [31] employed a structural equation model to study the influencing factors of public participation in meteorological disaster prevention and mitigation.…”

Public Participation in the Social Science: A Systematic Literature Review

“…Scholars explain that geographic information systems have the ability to assist experts in conducting their research because they are able to visualize spatial data and represent the impact of locally based transportation alternatives (Giuffrida, Le Pira, Inturri, & Ignaccolo, 2019). Scholars who research on meteorological disasters explain that public participation is very important in preventing the risk of public disasters (Duan et al, 2020). Other scholars make it clear that the combination of public participation, information design, and face-to-face community reporting with trusted researchers can help support information gaps in surrounding communities (Sandhaus et al, 2019).…”

“…A study examining public participation in the context of disaster risk management (Duan, Liu, Wang, & Wei, 2020). Another study examined public participation in the context of urban, environmental and computer systems (Hasanzadeh, Kajosaari, Häggman, & Kyttä, 2020).…”

Does labor out‐migration affect the sustainability of disaster mitigation? Insight from the social–ecological system perspective

“…Therefore, it is imperative to develop disaster mitigation (DM) activities from the perspective of local social vulnerability. Further, disaster reduction strategies and interventions should be formulated based on local community characteristics and indigenous knowledge to improve community resilience in the face of disaster threats (Bian et al, 2022; Duan et al, 2020; Xiang et al, 2021). This approach has proven to be adaptable during disaster preparedness and reconstruction.…”