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곽호찬(Ho Chan Kwak),정윤영(Youn Young Jung),김종철(Jong Chul Kim),방승기(Seung Ki Pang),손종렬(Jong Ryeul Sohn) 한국생활환경학회 2009 한국생활환경학회지 Vol.16 No.6
In this study, evaluated removal efficiency of indoor air pollutants such as PM₁? (particulate matter), TBC (total bacteria colony), HCHO (formaldehyde), TVOC (total volatile organic compound) by using air cleaner in smallsized crowd facilities. As the results, the removal efficiency of PM₁? and TBC were shown as 58% and 70%. And also HCHO and TVOC were shown as 60%, 70%. The statistic result of correlation analysis between incipient PM₁? concentration (no-air cleaner) and after 3 days (apllied air cleaner) PM₁? concentrations were significantly shown as correlated. And the result of correlation analysis between incipient TBC, HCHO, TVOC concentrations (no-air cleaner) and after 3 days TBC, HCHO, TVOC concentrations (appllied air cleaner) were significant shown as correlated. In these results, we suggest that air cleaners applied on small-sized crowd facilities can help to reduce of indoor air pollutants as effectively
이동통신 자료를 활용한 거시적 교통사고 예측 모형 개발
곽호찬 ( Ho-chan Kwak ),송지영 ( Ji Young Song ),이인묵 ( In Mook Lee ),이준 ( Jun Lee ) 한국안전학회(구 한국산업안전학회) 2018 한국안전학회지 Vol.33 No.4
Macroscopic accident analyses have been conducted to incorporate transportation safety into long-term transportation planning. In macro-level accident prediction model, exposure variable(e.g. a settled population) have been used as fundamental explanatory variable under the concept that each trip will be subjected to a probable risk of accident. However, a settled population may be embedded error by exclusion of active population concept. The objective of this research study is to develop macro-level accident prediction model using floating population variable(concept of including a settled population and active population) collected from mobile phone data. The concept of accident prediction models is introduced utilizing exposure variable as explanatory variable in a generalized linear regression with assumption of a negative binomial error structure. The goodness of fit of model using floating population variable is compared with that of the each models using population and the number of household variables. Also, log transformation models are additionally developed to improve the goodness of fit. The results show that the log transformation model using floating population variable is useful for capturing the relationships between accident and exposure variable and generally perform better than the models using other existing exposure variables. The developed model using floating population variable can be used to guide transportation safety policy decision makers to allocate resources more efficiently for the regions(or zones) with higher risk and improve urban transportation safety in transportation planning step.
오석문(Oh, Suk Mun),곽호찬(Kwak, Ho-Chan),강성욱(Kang, Sung Wook),김학성(Kim, Hag Seoung) 한국도시철도학회 2021 한국도시철도학회논문집 Vol.9 No.4
도심지 내부 물류 배송 차량에 의한 교통 혼잡을 경감하고, 물류 배송의 효율성을 증대시키기 위하여 도시철도를 물류 배송 수단으로 활용하기 위한 기술개발이 이루어지고 있다. 이는 비첨두시간에 물류 전용 화물열차를 여객열차와 혼합 운영하는 것을 목적으로 한다. 본 연구에서는 서울3호선을 대상으로 화물열차 운영을 위해 화물열차 정차 패턴 및 적정 화물취급역에 대한 분석을 수행하였다. 먼저, 도심 화물열차 정차 패턴으로 단수역 정차 및 다수역 정차 패턴을 비교 검토하였으며, 화물열차의 표정속도를 산정하여 다수역 정차 패턴 시 최적 화물취급역을 도출하였다. 분석 결과, 3호선 구간에서는 학여울역과 금호역이 최적 화물취급역 위치로 선정되었다. In order to reduce traffic congestion caused by logistics vehicles and to increase the efficiency of logistics, the technologies to utilize urban railway as a means of logistics are being developed. The purpose is to operate freight trains for logistics during off-peak period. In this study, the optimal freight stations was selected for line 3 operated by Seoul Metro under multi-stop pattern. single-stop and multi-stop patterns are compared and the optimal freight stations (Hangnyeoul and Geumho) are selected by calculating the speed of the freight trains.