少震地区公众防震减灾科普需求与认知的调查和分析——以江西省为例
Exploring public demand and awareness for earthquake disaster prevention and mitigation popularization:A case study of Jiangxi Province
邓月圆 1谢斌 1罗叶美 1余志成 1钟智东 1赖智华 2欧阳澍培 1张义建1
作者信息
- 1. 江西省地震局赣州地震监测中心站,江西赣州 341001
- 2. 赣州市应急管理局,江西赣州 341001
- 折叠
摘要
本研究旨在探索江西省公众对防震减灾科普知识的认知和需求.通过设计并实施问卷调查,广泛收集了公众的反馈,以评估他们对防震减灾信息的需求及偏好的获取信息渠道.研究发现,大部分受访者表达了对防震减灾科普知识的强烈需求,尤其强调了对实用、易于理解和可操作内容的偏好.在信息获取渠道方面,数字媒体,尤其是互联网和电视,是科普知识的主要获取渠道.然而,主要挑战包括科普内容过于理论化、专业化和复杂化,且信息获取途径较为有限.基于这些调查结果,本研究建议相关部门和组织加强实地演习、利用数字媒体进行宣传和实践经验的分享,扩大传播渠道,同时简化专业内容,从而更有效地满足公众需求,提升公众的防震减灾意识和能力.
Abstract
This study aims to explore public awareness and needs regarding earthquake disaster prevention and mitigation education in Jiangxi Province.By designing and implementing a questionnaire survey,this research extensively collected public feedback to evaluate their demand for disaster prevention information and their preferences for channels of information acquisition.The findings indicate that most respondents expressed a strong need for disaster prevention education,particularly emphasizing the preference for practical,easy-to-understand,and operable content.In terms of channels for obtaining information,digital media,especially the internet and television,emerged as the main sources for acquiring educational content.However,the main challenges include the overly theoretical,professional,and complex nature of the educational content,and the limited avenues for information acquisition.Based on these results,the study recommends that relevant departments and organizations strengthen on-site drills and use digital media for publicity and sharing of practical experiences,expand communication channels,and simplify professional content to more effectively meet public needs and enhance their awareness and capabilities in earthquake disaster preparedness.
关键词
防震减灾/科普/公众认知/防震科普需求/问卷调查Key words
earthquake prevention and disaster reduction/science popularization/public awareness/earthquake science popularization demand/questionnaire survey引用本文复制引用
出版年
2025
NETL
NSTL
万方数据