• Journal of the Korean Society for Railway
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• v.9 no.4 s.35
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• pp.335-342
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• 2006

Disaster management system should be built for minimizing damage factor that affects to construction facility from natural disaster. It could be classified by three categories such as disaster prevention, damage survey and recovery phases. For an integrated disaster management system, a disaster information classification system(DICS) is necessary for the reasonable disaster information management. This study suggests an integrated DICS that includes disaster type classification, facility type classification and information type classification for disaster management service. The applicability of suggested DICS is verified by railway facility and the research result could be used as a basic information system for national disaster management system.

• Journal of Information Science Theory and Practice
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• v.9 no.4
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• pp.35-49
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• 2021

In a situation where there are multiple diverse datasets, it is essential to have an efficient method to provide users with the datasets they require. To address this suggestion, necessary datasets should be selected on the basis of the relationships between the datasets. In particular, in order to discover the necessary datasets for disaster resolution, we need to consider the disaster resolution stage. In this paper, in order to provide the necessary datasets for each stage of disaster resolution, we constructed a disaster type and disaster management process ontology and designed a method to determine the necessary datasets for each disaster type and disaster management process step. In addition, we introduce a method to determine relationships between datasets necessary for disaster response. We propose a method for discovering datasets based on minimal relationships such as "isA," "sameAs," and "subclassOf." To discover suitable datasets, we designed a knowledge exploration model and collected 651 disaster-related datasets for improving our method. These datasets were categorized by disaster type from the perspective of disaster management. Categorizing actual datasets into disaster types and disaster management types allows a single dataset to be classified as multiple types in both categories. We built a knowledge exploration model on the basis of disaster examples to ensure the configuration of our model.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.36 no.3
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• pp.135-145
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• 2020

Recently, the disaster rate of the construction industry has increased with high-rise, and complexity of the building, unlike the decrease in the disaster rate in other industries. Although risk assessment is performed to reduce the occurrence of disasters, it is difficult to estimate the risks accurately due to activity in which no disaster has occurred, and inconsistencies in the level of details of work. In this study, in order to evaluate the risk of the major activity for the apartment construction work, the activity was identified by referring to the risk assessment model of construction industry type by the KOSHA. The construction work types and activities were consistently organized in level of work into nine work types and 82 activities were through experts consultation. Analyzing the disaster types that occurred during work through KOSHA disaster cases, calculating the probability of disaster occurrence according to the type of disaster, and combining the probability of disaster with the severity of disaster to estimate the risk assessment method was presented. Using the daily report of the construction site of the apartment, the results of a case study confirmed the validity of the risk calculation method presented in this study.

• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.41-50
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• 2017

Disaster and safety budget can be characterized as a large-scale public asset on which the government has a significant role. It is of a crucial importance to properly allocate the limited national budget to various areas as necessary. Higher investment efficiency of the budget related to disaster and safety management requires distribution criteria based on relevance and efficiency. Currently, the budget related to disaster and safety management is orchestrated through the prior consultation system. However, there is still no clear framework for reviewing the investment direction and setting the priority investment areas by prior consultation. This study analyzes the status and characteristics of disaster and safety management projects by damage type and proposes a structured system for prioritization. This framework can be useful in selecting the areas that need priority investments by damage type of disaster and safety management projects, thereby contributing to improving investment efficiency.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.564-573
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• 2014

The objective of this study was to select a representative coastal disaster prevention forest type for each coastal area. In this study, we used cluster analysis with the results obtained from investigation for density of growing stock, tree height, DBH, and forest width and length of major coastal disaster prevention forests distributed in the west, the south, and the east coasts. The results showed that the coastal disaster prevention forests for each coast were classified into two types: a forest type with small DBH and high growing stock density (W1) or with high tree height (W2) in the west coast, a forest type with small tree height (S1) or with large DBH (S2) in the south coast, and a forest type with small growing stock density (E1) or with small tree height and low DBH (E2) in the east coast. The coastal disaster prevention forests located in Gurye beach (Hwangchon-ri, Wonbuk-myeon, Taean-gun, Chungcheongnam-do) and in Gohsapo beach (Unsna-ri, Byeonsan-myeon, Buan-gun, Jeollabuk-do) were selected as the representative forests of W1 and W2, respectively. In addition, the coastal disaster prevention forests located in Namyang beach (Namyang-ri, Seolcheon-myeon, Namhae-gun, Gyeongsangnam-do) and in Donggo beach (Donggo-ri, Sinji-myeon, Wando-gun, Jeollanam-do) were selected as the representative forests of S1 and S2, respectively. Last, the coastal disaster prevention forests located in Bonggil beach (Bonggil-ri, Yangbuk-myeon, Gyeongju-si, Gyeongsangbuk-do) and in Anmeok beach (Gyeonso-dong, Gangneung-si, Gangwon-do) were selected as the representative forests of E1 and E2, respectively. Our finding is expected to be used as baseline data in establishing the most appropriate coastal disaster prevention forest for each coast.

• Journal of the Korean association of regional geographers
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• v.20 no.1
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• pp.128-140
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• 2014

This study aims to investigate the characteristics and to classify the foreign volcanic disaster maps. Authors try to extract the components of volcanic disaster maps and apply them to the Mt. Baekdu volcano that receives worldwide attention recently has been on an early stage in Korea. Internationally, volcano ash disaster maps are derived and reviewed through three analytical framework components: Hazard Map, Risk Map, and Damage Map. These derived components of volcano ash disaster mapping systems are: 1) cumulative map of past disaster records, 2) probabilistic risk map, 3) scenario-based map and case-by-case utilization maps (evacuation response type, emergency information type, disaster preparedness education type) based on this components are presented.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.4
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• pp.33-46
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• 2010

The 14 cities and guns within Gangwon-do were divided into three regions (urban-rural-integrated type, urban type, and ruralcoastal type), and local voluntary disaster prevention organizations in those regions were surveyed as sample groups. As a result, the urban-rural-integrated type and the urban type were found to be lower than the rural-coastal type in all domains including recognition of disaster crisis, evacuation guidance, preparation of voluntary evacuation, maintenance of disaster prevention system, surveillance & guard, and information delivery. In particular, three types had higher information delivery but considerably lower preparation of voluntary evacuation. As for information delivery, foundations for rapid delivery of disaster information due to establishment and extension of systems for forecasting and warning of local governments were prepared, but as for preparation of voluntary evacuation, it is needed not only to perform consistent training and promotion for preparation for disasters for residents to accurately understand status of disasters but to take measures to secure safe places for evacuation beforehand.

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.3
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• pp.45-53
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• 2017

Hybrid disaster refers to a type of unexpectedly large-scale disaster that results from continuous or simultaneous occurrence of natural and social disasters. Since hybrid disaster is a completely new type of disaster that has simultaneity and continuity, it requires a different management method compared to the conventional disaster management method. Accordingly, this study suggested policy directions for hybrid disaster response system of Korea after reviewing hybrid disaster response systems in developed foreign nations.

• 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 Korean Society of Safety
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• v.38 no.2
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• pp.68-80
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• 2023

Cooperation between government agencies is important for disaster management, and a thorough and objective cause investigation is important to prevent the recurrence of similar disasters. In South Korea, individual laws are scattered by ministries according to the disaster type, and most are operated as non-permanent organizations that are employed when disasters occur. Although expertise is recognized for each disaster type, each government agency's operation method is different, so when a large-scale disaster involving multiple ministries occurs, there is a limit to the coordination of roles and integrated management between government agencies. In particular, whenever a large-scale complex disaster occurs, problems arise regarding the independence, professionalism, and fairness of the cause investigation. Therefore, to supplement this, reviewing the management methods and systems of disaster cause investigations in advanced countries is necessary. Thus, in this study, the organization status, manpower, organizational structure, and cause investigation work system of NTSB of the United States, JTSB of Japan, and SHK of Sweden are identified to improve the disaster cause investigation system in Korea and are compared and analyzed with Korea's GDCIG. Additionally, issues and problems for the advancement of Korea's disaster cause investigation system are considered and improvements are suggested.