• Journal of the Korean Society for Railway
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• v.14 no.3
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• pp.228-233
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• 2011

This paper presented the method about the Implementation of Speech Recognition based on phoneme considering the phonological characteristic for Korean Subway Station Names. The Pronunciation dictionary considering PLU set and phonological variations with four Case in order to select the optimum PLU used for Speech Recognition based on phoneme for Korean Subway Station Names was comprised and the recognition rate was estimated. In the case of the applied PLU, we could know the optimum recognition rate(97.74%) be shown in the triphone model in case of considering the recognition unit division of the initial consonant and final consonant and phonological variations.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.10a
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• pp.299-300
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• 1999

서울의 지하철은 하루 450만 명이 이용하는 중요한 대중교통수단임에도 불구하고 역구내의 먼지에 대한 단순 측정ㆍ분석만이 이뤄지고 있을 뿐 그 먼지의 생물학적 영향에 대한 연구는 미흡한 실정이다. 본 연구에서는 지하철역 구내에서 포집한 먼지가 돌연변이원을 함유하고 있는 지를 평가하였다. 신촌역 지하철입구, 대합실, 승강장에서 포집한 총부유분진 (TSP; total suspended particulates)을 용매에 용출시켜 공시재료로 사용하였다.(중략)

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.1
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• pp.101-116
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• 2017

This Study estimates the actual night traffic using the smart card data used by most of the public transportation users, and compares it with the current night bus routes by KT Telecom based on the night time call volume. In order to compare the current night bus and night trips evaluated by smart card data, we presented indicators related to the degree of matching, and estimated the volume of service currently provided. The unique approach of the study is that we chose subway station instead of bus stop for the unit of the study. Bus stops has their complexity in a way that stops with same name could belong to different administrative area depending on its direction. For this reason, we decided to use subway station and defined its adjacent administrative district as the scope of influence. Since night bus is the primary means of transportation during the late night, it is anticipated that they will be able to provide better service by calculating the actual traffic and selecting the routes.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2002.11a
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• pp.65-70
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• 2002

지하철 역사에서의 신조명 방식을 적용(특히 승강장)하기 위하여, 우선 지하철역사의 조명 특성 및 현황을 살펴보고, 최근의 주요 신조명 방식 몇 가지를 점검해 본 후, 그중 현실적인 여건상 바람직한 조명이라고 생각되는 광파이프 조명을 중심으로 현재 일반적으로 설치된 형광등 조명 방식과 비교/검토해 보았다. 광파이프 국내공급사에서 입수한 조명 프로그램으로써 국내의 지하철 역사 승강장을 시뮬레이션 해본 결과로는, 광파이프 조명시스템(프리즘 방식)은 초기 투자가 너무 크고 효율적인 광원이 없어, 현재까지는 형광등조명보다도 약 배 이상 고비용이며 원래의 라인 조명으로서의 양호한 균제도 특성도 충분히 살리지 못하여 좀 더 발전시켜야 적합해질 것이라고 판단되었다.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.2
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• pp.116-128
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• 2011

Some subway passengers may want to have their fresh vegetables purchased through internet at a service facility within the subway station of the Metropolitan Seoul subway system on the way to home, which raises further questions about which stations are chosen to locate service facilities and how many passengers can use the facilities. This problem is well known as the pickup problem, and it can be solved on a traffic network with traffic flows which should be identified from origin stations to destination stations. Since flows of the subway passengers can be found from the smart card transaction database of the Metropolitan Seoul smart card system, the pickup problem in the Metropolitan Seoul subway system is to select subway stations for the service facilities such that captured passenger flows are maximized. In this paper, we have formulated a model of the pickup problem on the Metropolitan Seoul subway system with subway passenger flows, and have proposed a fast heuristic algorithm to select pickup stations which can capture the most passenger flows in each step from an origin-destination matrix which represents the passenger flows. We have applied the heuristic algorithm to select the pickup stations from a large volume of traffic network, the Metropolitan Seoul subway system, with about 400 subway stations and five millions passenger transactions daily. We have obtained not only the experimental results in fast response time, but also displayed the top 10 pickup stations in a subway guide map. In addition, we have shown that the resulting solution is nearly optimal by a few more supplementary experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4593-4601
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• 2013

The purpose of this study is to analyze neighborhood's land use and transit accessibility affecting residents' commuting trips through a case study of Seoul. The main data source used for this research is 2010 Household Travel Survey data from which 34,071 observations were selected as the final sample. Then a statistic analysis was carried out by applying random intercept logit model. Analysis shows that a high level of residential density, land use mix in neighborhood results in more use of subway for commuting. And higher access to subway station leads to more use of subway. Therefore, a high dense and mixed use development as well as a high accessibility to transit station can contribute to activating the use of public transportation for commuting. Finally, the walking range of subway station affecting transit mode for commuting is estimated at between 432 to 525m.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.371-372
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• 2003

서울의 지하철은 하루 450만 명 정도를 수송하는 중요한 대중교통 수단이다. 지하철 역사 내의 실내 환경에 대한 실내공기질 관리는 실내공기 오염의 대상물질에 대한 특정유해물질과 같은 단일 물질에 대한 지표에 의해 관리되고 있다. 그러나 공기중 입자상 물질의 특성은 복합적이기 때문에 공기질에 대한 관리는 여러 제한점을 가지고 있다. 또한 역구내의 먼지에 대한 단순 측정ㆍ분석만이 이뤄지고 있을 뿐 그 먼지의 생물학적 영향에 대한 연구는 미흡한 실정이다 본 연구에서는 지하철역 구내에서 포집한 미세먼지가 돌연변이원을 함유하고 있는 지를 여름과 겨울철에 대한 비교 평가하였다. (중략)

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.108-110
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• 2003

서울지하철역사내의 미세먼지농도는 환기에 의한 외부대기오염의 영향이 크다는 그간의 주장과 연구조사내용과는 달리 금번 이와 관련한 일련의 조사연구에서 그의 대부분이 내부 source에 의하여 결정되는 것을 확인하였다. 그의 중요한 source로서는 운행회수 1일 4226회에 의한 레일과 바뀌, 팬토그래프와 급전시설의 마찰, 1일 이용인원 5,481,000명에 의한 바닥과 신발의 마찰에 의한 마모와 발진현상과 사람들간의 접촉에 의한 섬유상 먼지의 비산, 그리고 역사내부의 서어비스업체등에서 음식조리시 부적적한 환기시설로 인한 것 등이 주요한 요인으로 생각되나 열차의 빈번한 출입으로 인하여 발생하는 열차풍에 의한 번지발생은 source의 큰 부분을 차지한 것이라는 전제하에 본 조사를 실시하게 되었으며 그의 영향정도를 파악하였다. (중략)

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.111-128
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• 2019

Subways are eco-friendly public transportation that can transport large numbers of passengers safely and quickly. It is necessary to predict the accurate number of passengers in order to increase public interest in subway. This study groups stations on Lines 1 to 9 of the Seoul Metropolitan Subway using clustering analysis. We propose one final prediction model for all stations and three optimal prediction models for each cluster. We found three groups of stations out of 294 total subway stations. The Group 1 area is industrial and commercial, the Group 2 ares is residential and commercial, and the Group 3 area is residential districts. Various data mining techniques were conducted for each group, as well as driving some influential factors on demand prediction. We use our model to predict the number of passengers for 8 new stations which are part of the 3rd extension plan of Seoul metro line 9 opened in October 2018. The estimated average number of passengers per hour is from 241 to 452 and the estimated maximum number of passengers per hour is from 969 to 1515. We believe our analysis can help improve the efficiency of public transportation policy.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.53-64
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• 2010

This study is aimed at identifying the association of change of travel frequencies with information and communications technologies, commuting behavior for 995 workers in the Korea Capital Region. The study surveyed total 995 commuters whose their individual character, commuting behavior, land use as well as ICTs. The measures of the commuting behavior was comprised of a main commuting mode, a use tern, total travel time, and those of land use was the distance from house/office to subway station, and those of ICTs was data and information collection, communication and leisure, online selling or purchases, finance and a civil application, cellular phone service using capacity and so on. The results indicate that commuting behavior, land use, and ICTs are positively associated to change of travel frequencies. Specifically, longer total travel time, or far from house/office to subway station, tend to reduce commuting behavior and collect data and information through internet