A Study on Public Awareness of Landslide and Check Dam Using the Big Data Platform 'Hyean'

doi:10.15683/kosdi.2022.12.31.687

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2022 Vol.18, Issue 4 Next Page

Original Article

A Study on Public Awareness of Landslide and Check Dam Using the Big Data Platform 'Hyean' 공공 빅데이터 플랫폼 ‘혜안’을 통한 산사태 및 사방댐 인식 분석: 박소희¹ㆍ강민정²ㆍ유 송³*
Sohee Park¹, Min Jeng Kang², Song Eu³*; ¹Researcher, Division of Forest Fire and Landslide, Department of Forest Environment and Conservation, National Institute of Forest Science, Seoul, Republic of Korea
²Manager, Lab of landslide, Division of research technical research institute, Korea Association of Forest Enviro-conservation Technology, Osong, Republic of Korea
³Research official, Division of Forest Fire and Landslide, Department of Forest Environment and Conservation, National Institute of Forest Science, Seoul, Republic of Korea

31 December 2022. pp. 687-698

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Abstract

Purpose: This study was conducted to understand the public awareness of landslide and check dams in 2015-2020 using the big data platform ‘Hyean’ and to confirm the utilization of this platform in disaster prevention areas. Method: The total amount, number of detection by period by media, and affirmative and negative trends of a search for ‘landslide’ and ‘check dam’ in 2015-2020 were analyzed using a keyword search of ‘Hyean.’ Result: There is significant lack of public awareness of check dam compared to landslide, and the trend is more noticeable in the conspicuous gap of data amount between the news and SNS media. The number and the timing of the search for ‘landslide’ coincided with the actual occurrence of landslide, while the detection of ‘check dam’ was less related to it. Relatively affirmative preception for the check dam is inferred, but it was difficult to confirm accurate statistical affirmative and negative trends in the disaster prevention field using ‘Hyean.’ Conclusion: Unlike the experts who expect positive public awareness of check dam, the statistic results show that the public awareness of the check dam as an effective countermeasure against landslide was extremely low. Active promotion of erosion control projects should be carried out first, and a balanced sample survey should accompany online and periodic field surveys. Since there is a limit to grasping the effective perception in the field of disaster prevention area using ‘Hyean’, it should be very cautious to establish local/governmental policies using it.

Keywords

Big Data

Check Dam

Landslide

Public Awareness

Soil Erosion Control

연구목적: 본 연구는 빅데이터 플랫폼 ‘혜안’을 사용하여 2015년에서 2020년 사이의 산사태와 사방댐에 대한 언론 및 대중의 인식을 파악하고 방재 분야에서 ‘혜안’의 활용성을 확인하고자 수행되었다. 연구방법: 빅데이터 플랫폼 ‘혜안’의 키워드 검색을 사용하여 2015~2020년의 ‘산사태’와 ‘사방댐’에 대한 검색 총량 및 시기에 따른 매체별 검색어 출현 횟수, 그리고 긍·부정 추이를 확인하였다. 연구결과: 산사태에 비해 사방댐에 대한 인식이 현저하게 부족하며, 사방댐에 대한 언론보도와 트위터 및 블로그에서 나타나는 대중의 인식 수준 사이에 현저한 괴리가 나타난다. 산사태의 실제 발생 시기에 따라 극명하게 관심이 나타나는 ‘산사태’와 달리 ‘사방댐’에 대한 자료는 산사태의 실제 발생 시기와 시기적 연관성이낮다. 사방댐에 대한 긍정적인 인식이 유추되지만 ‘혜안’으로는 재난 방지책에 대한 정확한 통계적 긍·부정 인식 확인이 어렵다. 결론: 전문가들이 사방사업에 대해 긍정적으로 인식하는 것에 비해 산사태에 대한 효과적인 방지책으로서의 사방댐에 대한 대중인식은 매우 저조하므로 사방사업에 대한 적극적인 홍보가 우선적으로 이루어져야 할 것이다. 추후 다양한 SNS 플랫폼에 대해 추가적인 빅데이터 조사와 함께 방재사업의 직접적 영향권에 있는 사람들을 대상으로 주기적인 현장 설문조사가 동반되어야 할 것이다. ‘혜안’을 사용한 방재 분야의 효과적인 인식 파악에는 한계가 있으므로 이를 활용한 지자체/정부적 정책 수립에는 신중을 기해야할 것이다.

키워드

빅데이터

사방댐

산사태

대중인식

사방사업

References

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Information

Publisher :The Korean Society of Disaster Information
Publisher(Ko) :한국재난정보학회
Journal Title :Journal of the Society of Disaster Information
Journal Title(Ko) :한국재난정보학회논문집
Volume : 18
No :4
Pages :687-698
DOI :https://doi.org/10.15683/kosdi.2022.12.31.687

[1] Bernard, M., Boreggio, M., Degetto, M., Gregoretti, C. (2019). "Model based approach for design and performance evaluation of works controlling stony debris flows with an application to a case study at Rovina di Cancia (Venetian Dolomites, Northeast Italy)." Science of the Total Environment, Vol. 688, pp. 1373-1388. 10.1016/j.scitotenv.2019.05.468 31726566

[2] Chang, D.J., Ghim, G.-H. (2011). "The structure and Dynamics of the Korean twitter network." Journal of ComMunication Research, Vol. 48, No. 1, pp. 59-86. 10.22174/jcr.2011.48.1.59

[3] Jo, H.S., Kim, J.Y. (2012). "Political communication and civic participation through blogs and twitter." Journal of Cybercommunication Academic Society, Vol. 29, No. 2, pp. 95-130.

[4] Korea Forest Service (KFS) (2005-2021). Statistical Yearbook of Forestry. Dajeon, the Republic of Korea.

[5] Korea Forest Service (KFS) (2015). Soil Erosion Control Technical Textbook. Dajeon, the Republic of Korea.

[6] Korea Forest Service (KFS) (2022). http://sansatai.go.kr [2022.05.30. lastest accessed].

[7] Kim, H.J., Kim, C.S., Jung, G.J., Kim, J.S., Kim, T.G. (2020). "Application method of information technology for local culture sharing and environmental protection." Journal of the Society of Disaster Information, Vol. 16, No. 2, pp. 364-373.

[8] Kim, Y.J., Kim, D.Y. (2018). "Methodology of local government policy issues through big data analysis." The Journal of the Korea Contents Association, Vol. 18, No. 10, pp. 229-235.

[9] Kim, Y.S., Kim, D.Y. (2014). "Study on the establishment of an efficient disaster emergency communication system focused on the site." Journal of the Korea Society of Disaster Information, Vol. 10, No. 4, pp. 518-528. 10.15683/kosdi.2014.10.4.518

[10] Lee, G.S., Lee, M.J., Hong, H.J., Hwang, E.H. (2007). "Efficiency of soil erosion to a debris barrier using GIS." Journal of Korean Association of Geographic Information Studies, Vol. 10, No. 1, pp. 158-168.

[11] Lim, Y.H. (2020). "Social analysis using the big data platform 'Hyean': Focusing on the 'tram' in Dajeon." Journal of Social Science, Vol. 31, No. 2, pp. 3-21. 10.16881/jss.2020.04.31.2.3

[12] Ministry of the Interior and Safety (MOIS) (2015) http://www.insight.go.kr [2022.05.30. latest accessed].

[13] National Institute of Forest Science (NIFoS) (2018). Development Strategy and Analysis of the Effectiveness of Erosion Control Project through Erosion Control Field Survey. Seoul, the Republic of Korea.

[14] National Institute of Forest Science (NIFoS) (2020). White Paper on Forest Disaster. Seoul, the Republic of Korea.

[15] National Information Society Agency (NIA) (2016-2020). Survey on the Internet Use Statistical table. Daegu, the Republic of Korea.

[16] The Seoul Institute (SI) (2014). Additional·Supplementary Investigation of the Cause of Landslide at Umyeon mountain - Final Report-. Seoul, the Republic of Korea.

[17] Ryu, Y.-J., Cho, D.-G., Youn, H.-J., Lee, C.-W., Lee, J.-H. (2018). "A study on selection of media to communicate information for raising awareness of soil erosion contrl projects." Journal of the Korean Society of Environmental Restoration Technology, Vol. 21, No. 2, pp. 1-11.

[18] Yoo, K.W. (2020). "A study on the methodology of policy analysis using big data." Telko Journal, Vol. 8, No. 0, pp. 39-75.

Journal of the Society of Disaster Information ISSN:1976-2208(Print) 2671-5287(Online) 한국재난정보학회논문집

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