• Journal of the Korean Society of Safety
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• v.38 no.5
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• pp.27-35
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• 2023

Social interest in disasters is a significant factor in shaping disaster management policies, enabling the enhancement of disaster safety management and prevention activities according to the specific needs of society. However, in the past, there were limits to measuring which disasters society was particularly interested in. Hence, in this study, a method of measuring social interest using news data was devised. Specifically, we classifed news reports into natural and social disasters, creating a comprehensive Social Interest Index (SII) on disasters covering from 2011 to 2021. Additionally, we quantitatively compared the SII with budgets allocated to disaster-related efforts. Our primary findings are as follows: First, our methodology not only distinguishes natural disasters from social disasters but also identifies emerging areas of societal concern. Second, in recent years (2014-2021), social disasters gained more attention than natural disasters. Third, the disaster safety budget accounted for approximately 3.5% of Korea's total budget, closely paralleling the SII we measured. However, exceptions were noted in cases such as heavy snow, cold waves, and heat waves, where the SII remained high, but the disaster safety budget was relatively low, indicating potential outliers. The findings of this research are projected to contribute to the improvement of national disaster management policies by providing a quantitative measure of social interest in disaster, enabling more informed and effective policy decisions.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.206-217
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• 2021

Purpose: Recently, a series of large social disasters have led to a lot of research to prevent social disasters as well as natural disasters and reduce damage. However, this paper aims to select the types of social disasters that local governments should focus on and create basic data for effective countermeasures and mitigation efforts. Method: Among 43 types of disasters announced by the Ministry of Public Administration and Security, 11 types of disasters were selected and collected to select the main types of disasters, and risk types were derived by region with risk maps. In order to derive the risk map, each detailed index was rescheduled to be 0-1 and weights were determined through entropy technique. Result: As a result, about 41% of the major disasters announced by the Ministry of Public Administration and Security were consistent, and the rest of the major types were disasters that could not be obtained or have not occurred in the past 20 years. Conclusion: Therefore, in order to establish an effective prevention and recovery plan for social disasters through this study, it was intended to present social disaster-focused disasters for each local government.

• Journal of the Korean Society of Safety
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• v.38 no.6
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• pp.50-59
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• 2023

As the diversity of disasters continues to increase, the concept of "complex disasters" has gained prominence in various policies and studies related to disaster management. However, there has been a certain limitation in the availability of the systematic statistics or data in advancing policies and research initiatives related to complex disasters. This study aims to analyze the macro-level characteristics of the complex disasters that have occurred domestically utilizing a 30-year span of a news data. Initially, we categorize the complex disasters into the three types: "Natural disaster-Natural disaster", "Natural disaster-Social disaster", and "Social disaster-Social disaster". As a result, the "natural diaster-social disaster" type is the most prevalent. It is noted that "natual disaster-natural disaster" type has increased significantly in recent 10 years (2011-2020). In terms of specific disaster types, "Storm and Flood", "Collapse", "Traffic Accident", "National Infrastructure Paralysis", and "Fire⋅Explosion" occur the most in conjunction with other disasters in a complex manner. It has been observed that the types of disasters co-ocuuring with others have become more diverse over time. Parcicularly, in recent 10 years (2011-2020), in addition to the aforementioned five types, "Heat Wave", "Heavy Snowfall⋅Cold Wave", "Earthquake", "Chemical Accident", "Infectious Disease", "Forest Fire", "Air Pollution", "Drought", and "Landslide" have been notable for their frequent co-occurrence with other disasters. These findings through the statistical analysis of the complex disasters using long-term news data are expected to serve as crucial data for future policy development and research on complex disaster management.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.6
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• pp.93-100
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• 2019

Modern society is transforming into an extreme climate environment. This is fatal to humans and ecosystems and is expected to cause large-scale damage. As this spokesman, natural disasters are increasing as this global average temperature rises. Social and economic damage by this tendency is also increasing. In addition, the frequency and scale of social disasters are increasing. Damage to the living area due to the damage of the infrastructure due to the increased reliance on infrastructure has been increasingly enlarged. In this research, various disasters such as natural disasters and social disasters analyze the impact on urban safety. A local autonomous entity K Priority Management Establish a kind of disaster, prepare crisis management manual, and use it as a basic material of education / training.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.2
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• pp.83-90
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• 2008

Social infrastructures have been built when the growth of economy in Korea significantly increases in 1960s. Nowadays, these infrastructures have been aged with an inappropriate maintenance and management and the citizens have rare recognition for human disasters. In addition, the government has law or regulations responding to human disasters but these are not complementary. Since these human disasters have been issued as social problems and have induced social and economic loss, the improvement schemes for human disasters are currently being demanded. In this study, the case histories of damages and improvement schemes with respect to the types of damages for human disasters are comprehensively investigated.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.591-593
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• 2017

The phenomena of disasters are changing from the individual disasters confined to the local areas, to complex disasters, a combination of natural and social disasters, caused by climate change and overcrowding urbanization. Therefore, the request of the complex disaster simulation system to respond to complex disasters caused by natural disasters and social disasters is getting increases. In this paper, we introduce the simulation system in case of natural disasters and social disasters that occur as a complex disaster, and discuss the issues to be considered when constructing the integrated inventory, which is a key component in constructing a complex disaster simulation system. Because the simulation results for disasters can vary depending on the configuration of the inventory taking into account the regional characteristics, a reliable and consistent inventory configuration is required for reliable complex disaster simulation.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.661-664
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• 2017

Recently, during disasters occurrence, dealing with emergencies has been handled well by the early transmission of disaster relating notifications on social media networks (e.g., Twitter or Facebook). Intuitively, with their characteristics (e.g., real-time, mobility) and big communities whose users could be regarded as volunteers, social networks are proved to be a crucial role for disasters response. However, the amount of data transmitted during disasters is an obstacle for filtering informative messages; because the messages are diversity, large and very noise. This large volume of data could be seen as Social Big Data (SBD). In this paper, we proposed a big data platform for collecting and analyzing disasters' data from SBD. Firstly, we designed a collecting module; which could rapidly extract disasters' information from the Twitter; by big data frameworks supporting streaming data on distributed system; such as Kafka and Spark. Secondly, we developed an analyzing module which learned from SBD to distinguish the useful information from the irrelevant one. Finally, we also designed a real-time visualization on the web interface for displaying the results of analysis phase. To show the viability of our platform, we conducted experiments of the collecting and analyzing phases in 10 days for both real-time and historical tweets, which were about disasters happened in South Korea. The results prove that our big data platform could be applied to disaster information based systems, by providing a huge relevant data; which can be used for inferring affected regions and victims in disaster situations, from 21.000 collected tweets.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.18-25
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• 2017

Recently, disasters have become bigger and more complex, and the economic damage has increased due to the increase of urbanization and the concentration of infrastructure. These large complex disasters occur simultaneously in the second and third disasters due to the first single disaster, but the existing disaster management system in Korea is less adaptable because it is divided into natural disasters and social disasters. The cause of the complex disaster is the rapid urbanization of the residential environment caused by the change of the industrial structure, and the threat factors are various and unpredictable in the living environment. Natural disasters are becoming larger and more complex due to climate change due to global warming. Unlike the past, natural disasters are likely to develop into multiple disasters such as urban paralysis. Therefore, this paper considers natural disasters and social disasters in a comprehensive concept in order to overcome limitations of disaster management by existing single factors and manage disasters effectively and rationally. It is expected that it will play a big role in protecting the lives and property of the people through the establishment of a preemptive disaster management framework.

• Journal of Korean Society of Disaster and Security
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• v.9 no.2
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• pp.15-21
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• 2016

According to the disaster statistics issued by the Ministry of Public Safety and Security, traffic accidents, fire, collapses and others are classified into twenty-three (23) categories. In the past, disasters were mainly caused by the influence of nature, such as typhoon or drought. On the other hand, as society has become city-centered, social disasters' types, frequencies and scales are becoming more diversified and ever-increasing. However, there are no specific criteria and assessment methods that can measure degrees of social disasters-related risks objectively. Therefore, this study targeted traffic accidents, fire and collapses from major social disasters, utilized data that are related to occurrence rate, scale of casualties and scale of property loss in past eight years, and calculated the disaster risk index using the distance (Euclidean distance) between two points on the 3D spatial coordinates, in order to make the objective assessment by social disaster type possible. These results will enable the objective evaluation of risk index of major social disaster to be used as the foundational data when building the national disaster management system.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.4
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• pp.177-184
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• 2017

The abstract should concisely state what was done, how it was done, principal results, and their significance. It should be less than 300 words for all forms of publication. Recently social disasters have been occurring frequently in the increasing complicated social structure, and the scale of damage has also become larger. Accordingly, there is a need for a way to prevent further damage by rapidly responding to social disasters. Twitter is attracting attention as a countermeasure against disasters because of immediacy and expandability. Especially, collecting public opinion on Twitter can be used as a useful tool to prevent disasters by quickly responding. This study proposes a collecting method of Twitter public opinion through keyword analysis, issue topic tweet detection, and time trend analysis. Furthermore we also show the feasibility by selecting the case of humidifier disinfectant which is a social issue recently.