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Prediction of Travel Time of Fire Service using Kriging and Weighted-sum Technique
Yoonha Lee(Yoonha Lee),Minseok Kim(Minseok Kim),Jisoo Lee(Jisoo Lee) 한국화재소방학회 2022 International Journal of Fire Science and Engineer Vol.36 No.2
The accessibility of city fire services is an important indicator for evaluating fire services and optimizing fire resource allocation. For firefighting, rescue, and first-aid activities, it is recommended that the time from fire vehicles leaving the garage to arrive at the scene is less than 5 minutes. Therefore, the travel time of fire services is one of the main concerns for many researchers. This study assumes that changing the urban environment affects the travel time of fire services. Therefore, in this study, weights were applied over the years to predict the travel time of fire service by using the kriging technique. As a result of the case study, temporal factors (elapsed year, term of travel time, and time spent) did not significantly affect travel time prediction accuracy using the kriging technique. As observed in previous studies, it is confirmed that the prediction accuracy is high because it is less affected by traffic-related factors at short travel distances. The results of this study contribute to the development of spatial analysis techniques to improve the accuracy of travel-time prediction.
Lee Yoonha,Kim Minseung,Oh Kyeongeun,Kang Eungu,Rhie Young-Jun,Lee Jieun,Hong Yong Hee,Shin Young-Lim,Kim Jae Hyun 대한의학회 2022 Journal of Korean medical science Vol.37 No.22
Background: Hospital visitation has become challenging during the coronavirus disease 2019 pandemic because of quarantine measures and fear of infection. Consequently, newly diagnosed patients may present with more severe diseases during the pandemic. The present study analyzed the differences in the initial clinical presentations of newly diagnosed patients with type 1 diabetes (T1D) and type 2 diabetes (T2D), comparing pre-pandemic and pandemic periods. Methods: Newly diagnosed patients with T1D or T2D and aged < 18 years during 2018–2020 were included in the study. Data were collected retrospectively from four academic centers in Gyeonggi-do, South Korea. Initial clinical data were compared between the pre-pandemic (2018–2019) and pandemic (2020) periods. Results: In the pre-pandemic and pandemic periods, 99 patients (41 T1D and 58 T2D patients) and 84 patients (51 T1D and 33 T2D patients) were identified, respectively. During the pandemic, the proportion of diabetic ketoacidosis (DKA) cases increased compared to the pre-pandemic period (21.2% during 2018–2019 vs. 38.1% in 2020; P = 0.012). In the prepandemic and pandemic periods, initial pH was 7.32 ± 0.14 and 7.27 ± 0.15, respectively (P = 0.040), and HbA1c values were 11.18 ± 2.46% and 12.42 ± 2.87%, respectively (P = 0.002). During the pandemic, there was an increased risk of DKA in patients with T1D (odds ratio, 2.42; 95% confidence interval, 1.04–5.62; P = 0.040). Conclusion: During the pandemic, the proportion of DKA in newly diagnosed patients with T1D increased and clinical parameters showed a deteriorating pattern. Increased awareness of pediatric diabetes, especially DKA, could facilitate visit to the hospital for an early diagnosis; thus, reducing the number of DKA cases during the pandemic era.
이윤하(Lee, Yoonha),홍원화(Hong, Wonhwa),이지수(Lee,Jisoo),장광석(Jang, Kwang Seok),장준호(Chang,Chun Ho) 한국방재학회 2020 한국방재학회논문집 Vol.20 No.6
크고 작은 지진의 위험에 노출되어 있음에도 불구하고 국내의 경우 민간건축물 내진성능 확보를 위한 체계적인 계획이미흡하다. 본 연구는 민간건축물의 내진율 향상방안을 제시하기 위하여 국내·외 지원제도 현황과 국내 내진성능 확보 현황을조사하였다. 또한 내진율 향상 관련 선행연구를 고찰하고 이를 바탕으로 전문가 및 주민 대상 설문조사를 실시하였으며지원제도 별 선호도 및 필요성 분석 결과를 바탕으로 민간건축물 내진율 향상방안을 제안하였다. 민간건축물의 내진율 향상을위해서는 내진보강 비용 지원과 같은 직접적 지원 뿐 만 아니라 기술행정지원, 임대주택 지원, 규제완화 등이 고려되어야할 것으로 판단된다. 이러한 지원제도에 관한 문제는 사회적 합의도출이 중요하므로 지속적인 정책연구가 필요하다고 판단된다. 또한 비용효과적인 방안마련과 더불어 재정확보방안에 대한 검토가 필요하다. In Korea, there is still no plan to secure earthquake-resistant performance in private buildings despite being exposed to the risk of large and small earthquakes. Therefore, this study considered the current status of domestic and foreign support systems as well as prior research on improving the seismic resistance rate of private buildings, and surveys of experts and residents were conducted based on them. According to the survey, direct support such as financial support for seismic reinforcement, technical/administrative support, rental housing support, and deregulation should be considered to improve the seismic resistance rate of private buildings. In addition, it is necessary to prepare a cost-effective plan and review the financial security plan. As social consensus is important for these support systems, continuous policy research is needed.
지진 옥외대피장소의 대피수요 산출에 관한 사례연구 : 인구데이터 활용을 중심으로
이윤하(Lee, Yoonha),서현철(Seo, Hyuncheol) 한국방재학회 2022 한국방재학회논문집 Vol.22 No.2
국내의 경우 경주지진을 계기로 옥외대피장소와 실내구호소를 구분하여 선정기준이 마련되었고 다수의 지진대피소를 지정하여 운영하고 있다. 그러나 지진대피소의 물리적 특성과 입지의 적정성에 대한 일정의 평가요소와 지표가 존재하지만 대피수요 산출에 있어 명확한 기준이 없는 실정이다. 따라서 본 연구에서는 집계구 인구데이터와 모바일 위치기반 유동인구데이터를 활용하여 대피수요를 산출하고 시사점을 도출함으로써 향후 대피계획 수립시 기준 확립에 기여하고자 하였다. 연구의 결과는 모바일 위치기반 유동인구데이터가 정확한 값이라고 가정한다면 대피수요를 산출할 때 집계구 인구데이터를 활용하는 것은 상당한 수준의 오차가 발생할 수 있음을 보여준다. 지진과 같이 시공간적으로 언제 어느 정도의 규모로 발생하는지 정확하게 예측하기 어려운 재난의 경우 불확실성을 줄이기 위한 노력이 필요하며, 특히 대피수요 산출을 위해 시공간적으로 세밀하고 정확한 유동인구데이터 확보가 필요하다고 판단된다. In Korea, following the Gyeongju earthquake, the selection criteria were prepared by dividing outdoor and indoor relief centers. A number of earthquake shelters have been designated and operated. However, although certain evaluation factors and indicators exist to assess the physical characteristics of earthquake shelters and the adequacy of their location, there is still no clear standard to be used for the calculation of evacuation demand. Therefore, in this study, the evacuation demand was calculated using the census population data and mobile location-based floating population data. The implications were then drawn to contribute to the establishment of standards for future evacuation plans. The results reveal that, assuming that mobile location-based floating population data are accurate, using census population data in calculating evacuation demand can cause a significant level of error. In the case of disasters such as earthquakes, where it is difficult to accurately predict when they will occur and on what scale, in both time and space, efforts are needed to reduce any uncertainty.