• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.583-589
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• 2021

This study is a study on the development of virtual reality to prepare for the increase in disasters of households living with companion animals due to the increase of companion animals. The increase in single-person households and DINKs(Double Income, No Kid) along with the low birth rate and aging population is raising the risk of disasters caused by companion animals in particular. Among these disasters, there is an increase in the occurrence of fires primarily due to the raising of companion animals. Electric stove fires caused by pets are the most common fires. In particular, the frequency of electric stove fires caused by cats is the highest. Careful precautions by the owner are necessary to reduce fires caused by pets. Parenting of companion animals causes pet loss syndrome due to emotional exchange. There are injuries to pets in escalators and injuries to owners in elevators due to disasters caused by the owner's negligence. In order to reduce injuries on escalators and elevators, basic etiquette for using escalators and elevators with pets is required as basic etiquette. It is necessary to utilize virtual reality to reduce disasters caused by such companion animals. Virtual reality can be experienced without a physical space in advance training to overcome disasters, so real disaster cases can be experienced immersively. Therefore, learning how to reduce fires caused by companion animals, disasters caused by owner's negligence, and petloss syndrome through virtual reality will greatly contribute to disaster prevention and reduction of social costs.

• Journal of Korean Society of Disaster and Security
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• v.16 no.2
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• pp.1-13
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• 2023

As interest in urban safety has increased since COVID-19, various institutions have developed and used indicators that evaluate the safety city model. Yongsan-gu was ranked No. 1 in 2021 by Social Safety Index evaluation and was selected as the safest city in Korea. However, the Itaewon disaster in Yongsan-gu in 2022 caused many casualties. The study of indicators for evaluating cities' safety was necessary. This study aims to examine domestic and foreign safe city models and review the differences between each model and the indicators used to evaluate safe cities. As a result of collecting 11 safe city models and analyzing each evaluation index, safe city models can be classified into program-based safe city models, such as the World Health Organization's International safe community and the UN Office for Disaster Risk Reduction's International Safe city. Considering the diversification of threats to safety, it is reasonable to comprehensively consider digital security, health safety, infrastructure safety, personal safety, environmental safety, traffic safety, fire safety, crime safety, life safety, suicide, and infectious diseases when evaluating safe cities as evaluation parameters.