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http://dx.doi.org/10.15683/kosdi.2020.12.31.682

A Study on the Safety Index Service Model by Disaster Sector using Big Data Analysis  

Jeong, Myoung Gyun (Information & Computer Center, Pukyong National University)
Lee, Seok Hyung (Department of Information Systems, Pukyong National University)
Kim, Chang Soo (Department of IT Convergence and Application Engineering, Pukyong National University)
Publication Information
Journal of the Society of Disaster Information / v.16, no.4, 2020 , pp. 682-690 More about this Journal
Abstract
Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.
Keywords
Regional Safety Index; Big Data Analysis; Machine Learning Algorithm; Urban Safety Index; Public Data Analysis;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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1 Hwang, H., Seo, Y., Jeon, T., Kim, C. (2018). "Design and implementation of an urban safety service system using realtime weather and atmosphere data." Journal of Korea Multimedia Society, Vol. 21, No. 5, pp. 599-608.   DOI
2 Kim, E., Ra, I., Rhee, K., Kim, C.S. (2014), "Estimation of real-time flood risk on roads based on rainfall calculated by the revised method of missing rainfall." pp. 6418-6431.
3 Lee, J.H., Song, K.S., Kang, J.A., Hwang, J.R. (2015). "A study on the efficient extraction method of SNS data related to crime risk factor." Journal of the Korea Society of Computer and Information, Vol. 20, No. 1, pp. 255-263.   DOI
4 Ministry of the Interior and Safety (2010). Manual of Safe City Operation.
5 Koo, W.H., Back, M.H. (2018). "A study on the consciousness survey for the establishment of safety village in disaster" Journal of the Korea Society of Disaster Information, Vol. 14, No. 3, pp.238-246.   DOI
6 Ministry of the Interior and Safety (2013) BPR/ISP Project Results Report for the Establishment and Utilization of Common Foundation for Big Data.
7 Yun, S.O. (2013). "A study on the classification of risks caused by big data." Journal of Korean Association for Regional Information Society, Vol. 16, No. 2, pp. 93-122.
8 Bae, B.G., Choi, S.H. (2013). "The study of disaster management using social bigdata." Journal of the Korean Institute of Information Scientists and Engineers, Vol. 40, pp. 32-34.
9 Min, G.Y., Jeong, D.H. (2014). "A study on the big data properties for rapid disaster response activities." Journal of the Korea Intelligent Information Systems Society, pp. 259-263.
10 Kim, J.G., Park, C.S. (2019). "A comparative study on the importance of the components of the community disaster resilience on disaster response." Journal of the Korea Society of Disaster Information, Vol. 15, No. 3, pp.339-346.
11 Min, G.Y., Jeong, D.H. (2013). "Research on assessment of impact of big data attributes to disaster response decision-making process." Journal of the Society for e-Business Studies, Vol. 18, No. 3,1, pp. 17-43.   DOI
12 Choi, Y.C., Seo, G.D. (2018). "Establish priority of kind of disaster for city safety." Journal of the Architectural Institute of Korea Structure & Construction, Vol. 34, No. 7, pp. 11-18.   DOI
13 Kang, M.M., Kim, S.R., Park, S.M. (2012). "Analyze and leverage big data." Journal of the Korean Institute of Information Scientists and Engineers, Vol. 30, No. 6, pp. 25-32.
14 Jang, H.J. (2018). "Big data application algorithm for safe community implementation." Journal of the Urban Design Institute of Korea , Vol. 19, No. 1, pp. 37-50.