PURPOSES : This study aims to analyze the causes of pedestrian traffic accidents on community roads. METHODS : This study collected variables affecting pedestrian traffic accidents on community roads based on field surveys and analyzed them using negative binomial regression and zero-inflated negative binomial regression models. RESULTS : Model analysis results showed that the negative binomial regression model is more suitable than the zero-inflation negative binomial regression model. Additionally, the segment length (m), pedestrian volume (persons/15 min), traffic volume (numbers/15 min.), the extent of illegal parking, pedestrian-vehicle conflict ratio, and one-way traffic (one: residential, two: commercial) were found to influence pedestrian traffic accidents on community roads. Model fitness indicators, comparing actual values with predicted values, showed an MPB of 1.54, MAD of 2.57, and RMSE of 7.03. CONCLUSIONS : This study quantified the factors contributing to pedestrian traffic accidents on community roads by considering both static and dynamic elements. Instead of uniformly implementing measures, such as pedestrian priority zones and facility improvements on community roads, developing diverse strategies that consider various dynamic factors should be considered.

PURPOSES: In this study, a method of maximizing visibility by effectively installing rear reflectors on freight cars was analyzed to reduce traffic accidents caused by poor visibility of trucks at night. METHODS: Comparisons were made when a (1) rear reflector, (2) rear reflector and line contour, and (3) rear reflector and full contour were installed in a truck using virtual driving simulation. The safety level of each installation method was quantitatively analyzed by selecting the cognitive distance, safe distance maintenance, and deceleration in the case of using stone embankment as an effective safety measure. RESULTS : When the rear reflector and full contour was installed, the cognitive range was the longest, and the safety distance could be maintained for a relatively long time. In addition, it was possible to stop or avoid a collision when a sudden event occurred. CONCLUSIONS: The severity of rear-end crash with freight cars is very high at night, mostly because drivers are unaware of the freight car ahead. Accidents can be prevented if drivers can recognize cargo trucks. Based on the results of this study, the installation of a truck's rear reflector and full contour system will enhance night visibility, and the number of traffic accidents will also decrease.

PURPOSES : This paper aims to summarize the findings of studies related to driving safety in long tunnels, and based on these findings, evaluate the risk in driving safety in consecutive tunnels. METHODS: After evaluating the risk in consecutive tunnels, it was verified that driving safety depends on the tunnel length of the consecutive tunnels and the interval between the tunnels. The experimental devices used in this study were a virtual driving simulator and PolyG-I system, measuring, driving speed and among driver's brain waves, theta wave that represents drowsiness or inner conscious states. RESULTS: The results of experiment I showed that, in consecutive tunnels, the variation of speed was higher and the theta wave increased at similar points in comparison with that for long tunnels, demonstrating the risk in consecutive tunnels. The results of experiment II revealed that the variation of speed was the highest in the shortest tunnel (250 m) and the risk of overspeeding was the highest in the longest tunnel (900 m). Additionally, among the consecutive tunnels, the longer tunnels significantly increased the overall theta wave in the tunnels, increasing the risk of drowsy driving. CONCLUSIONS: Of the three scenarios, it was concluded that safety was highest when the tunnel length was set to 600 m.

PURPOSES:This study aims to analyze the impact of the implementation of a school zone traffic safety improvement project on the number of accidents involving children in these zones.METHODS :To analyze the correlation between school zone traffic safety features of roads in the zone and the number of accidents involving children, we developed an occurrence probability model of traffic accidents involving children by using a binary logistic regression model with SPSS 23.0 software. Two separate models were developed for two zones: interior block and arterial road.RESULTS:The model depicted that in the case of the interior block, shorter sidewalk width, speed bump, and an elevated crosswalk were key factors affecting the occurrence of accidents involving children. In the case of arterial roads exceeding a width of 12 m, the speed limit, roadside barriers, and red paving of road surfaces were found to be the key factors.CONCLUSIONS:The results of this study can serve as the elementary research data to help improve the effectiveness of school zone traffic safety improvement projects and school zone road repair projects in future.

OBJECTIVES : Fixed roadside objects are a threat to drivers when their vehicles deviate from the road. Therefore, such roadside objects need to be suitably dealt with to decrease accidents. This study determines the factors affecting the severity of accidents because of fixed roadside objects. METHODS : This study analyzed the crash severity impact of fixed roadside objects by using ordered probit regression as the analysis methodology. In this research, data from 896 traffic accidents reported in the last three years were used. These accidents consisted of sole-car accidents, fixed roadside object accidents, and lane-departure accidents on the national highway of Korea. The accident severity was classified as light injury, severe injury, and death. The factors relating to the road and the driver were collected as independent variables. RESULTS: The result of the analysis showed that the variables of the crash severity impact are the collision location (left side), gender of the driver (female), alcohol use, collision facility (roadside trees, traffic signals, telephone poles), and type of road (rural segments). Additionally, the collision location (left side), gender of the driver (female), alcohol use, collision facility (street trees, traffic signals, telephone poles), and type of road (rural segments), in order of influence, were found to be the factors affecting the crash severity in accidents due to fixed roadside objects. CONCLUSIONS: An alternative solution is urgently required to reduce the crash severity in accidents due to fixed roadside objects. Such a solution can consider the appropriate places to install breakaway devices and energy-absorbing systems.

PURPOSES : Low visibility caused by dark surroundings at nighttime affects the likelihood of accidents, and various efforts, such as installing road safety facilities, have been made to reduce accidents at night. Despite these efforts, the nighttime severity index (SI) in Korea was higher than the daytime SI during 2011-2014. This study determined the factors affecting daytime and nighttime accident severity through a discriminant analysis. METHODS: Discriminant analysis. RESULTS: First, drowsiness, lack of attention, and lighting facilities affected both daytime and nighttime accident severity. Accidents were found to be caused by a low ability to recognize the driving conditions and a low obstacle avoidance capability. Second, road conditions and speeding affected only the daytime accident severity. Third, failure to maintain a safe distance significantly affected daytime accident severity and nonsignificantly affected nighttime accident severity. The majority of such accidents were caused by rear-end collisions of vehicles driving in the same direction; given the low relative speed difference in such cases, the shock imparted by the accidents was minimal. CONCLUSIONS: Accidents caused by a failure to maintain a safe distance has lower severity than do accidents caused by other factors.

PURPOSES : The use of virtual driving tests to determine actual road driving behavior is increasing. However, the results indicate a gap between real and virtual driving under same road conditions road based on ergonomic factors, such as anxiety and speed. In the future, the use of virtual driving tests is expected to increase. For this reason, the purpose of this study is to analyze the gap between real and virtual driving on same road conditions and to use a calibration formula to allow for higher reliability of virtual driving tests. METHODS : An intelligent driving recorder was used to capture real driving. A driving simulator was used to record virtual driving. Additionally, a virtual driving map was made with the UC-Win/Road software. We gathered data including geometric structure information, driving information, driver information, and road operation information for real driving and virtual driving on the same road conditions. In this study we investigated a range of gaps, driving speeds, and lateral positions, and introduced a calibration formula to the virtual record to achieve the same record as the real driving situation by applying the effects of the main causes of discrepancy between the two (driving speed and lateral position) using a linear regression model. RESULTS: In the virtual driving test, driving speed and lateral position were determined to be higher and bigger than in the real Driving test, respectively. Additionally, the virtual driving test reduces the concentration, anxiety, and reality when compared to the real driving test. The formula includes four variables to produce the calibration: tangent driving speed, curve driving speed, tangent lateral position, and curve lateral position. However, the tangent lateral position was excluded because it was not statistically significant . CONCLUSIONS: The results of analyzing the formula from MPB (mean prediction bias), MAD (mean absolute deviation) is after applying the formula to the virtual driving test, similar to the real driving test so that the formula works. Because this study was conducted on a national, two-way road, the road speed limit was 80 km/h, and the lane width was 3.0-3.5 m. It works in the same condition road restrictively.

PURPOSES : The causes of traffic accidents can be classified into the factors of highway users, vehicles, and driving environments. Traffic accidents result from the deficiency in single or combination of these three factors. The objective of this study is to define the "potentially hazardous sections of highway" in terms of traffic safety considering these three factors. METHODS : The test drivers performed repeated driving on these highway sections. The drivers and passengers recorded the sections on which the driving was uncomfortable, and the speeds on the sections excluding the uncomfortable sections were used for the development of the model. RESULTS : The model is composed of three sub-models for each of the horizontal curve, tangent, and the section where the curve starts/ends. The safe driving behavior coefficients by the horizontal curvature were derived by comparing the maximum operating speeds at which the vehicle may slide or deviate and the speeds at which the drivers feel comfort. The safety speeds on tangent were derived by the length of tangent section considering the driver's desired speeds under the traffic condition on which the drivers hardly influenced by the other vehicles. For the sections where the curve starts/ends, the driving behaviors were classified by the distances between the curves, and the safe acceleration/deceleration speeds were derived on which the drivers enter/exit the curve sections safely. CONCLUSIONS : Safety speed could then be regarded that the model suggested in this study may be useful to define the potentially hazardous highway section and contribute the improvement of highway safety.

고속도로의 터널구간은 일반구간과는 다른 주행특성(속도, 교통량, 밀도 등)을 가지게 되고 이에 따라 고속도로 일반부에서 터널진입 전과 후에 운전자 행태가 변하는데, 가장 대표적인 예가 속도의 감소 현상이라 할 수 있다. 하지만, 이러한 다양한 요인들 중 현재까지 연구의 진행 추세는 도로의 용량, 속도감소 측면의 정량적인 부분에 초점을 맞춘 연구들 위주로 진행되고 있는 것이 현실이다. 따라서 본 연구에서는 터널의 다양한 여건을 고려할 수 있는 구간을 대상으로 설문조사와 설문결과 분석을 통해서 터널구간 속도감소에 영향을 미치는 정성적 요인들을 알아 보았다. 분석 결과 최근 증가 추세인 장대터널과 관련된 터널 자체의 형상(차로폭, 갓길폭, 터널길이)에 대한 요인이 터널 내부 속도감소에 영향을 미치는 것으로 나타났다. 또한 터널입구 보임여부와 같은 시각적 환경이 속도감소의 영향요인으로 나타났으며 터널 내부의 조명밝기에 따라 속도변화가 나타나는 것을 알 수 있었다. 본 연구결과를 활용하여 고속도로 터널부 설계관련 기술개발 및 서비스개선을 위해 지속적인 투자가 이루어질 것이라 판단된다.

본 연구에서는 고속도로를 대상으로 각각의 구간에 대한 선형유형을 구분하여 사고빈도모형을 개발하였다. 현재 사고빈도모형 부문의 연구는 주로 고속도로 구간 전체를 대상으로 한 연구가 대부분이기 때문에 거시적인 측면에서 사고빈도모형이 개발되었다고 할 수 있으며, 이에 따라 각각의 구간특성이 정확히 반영되지 않은 상태에서의 사고빈도를 예측하였다고 볼 수 있다. 본 연구에서는 이러한 문제점을 인식하여, 동질구간 분할법을 사용하여 고속도로의 평면선형을 직선부, 곡선부, 연속곡선부로 구분하였고, 이를 군집분석을 통하여 직선부와 곡선부의 유형을 구분하여 고속도로의 각각의 구간별 특성을 반영한 사고빈도모형을 구축하였다. 본 연구 결과는 고속도로 각 구간의 사고빈도를 예측하는데 있어 더 정확하고 합리적인 결과를 도출해 낼 것이라 판단한다.

본 연구는 신호교차로 교통사고예측모형 구축 과정 중 일반적으로 제한된 변수의 선정 및 모형의 구축에만 주로 초점이 맞추어진 기존 방법론의 문제점을 개선하고, 자료조사 및 수집 과정에서 발생하는 자료의 불확실한 상태를 인정하면서 자료의 불확실성을 최소화하여 이용할 수 있는 방법론을 개발하는데 연구의 주안점을 두었다. 퍼지추론이론과 신경망이론을 이용한 모형을 구축하였고, 마지막으로 구축된 퍼지추론이론 모형 및 신경망이론 모형과 기존 회귀모형인 포아송 회귀모형간의 통계적인 검증과 실제 Data를 이용한 모형의 적정성을 검토하였다. 모형의 통계적인 검증시 기존모형에 비해 퍼지추론모형과 신경망이론모형이 더 설명력이 높은 것으로 나타났고, 검증에서도 퍼지추론이론과 신경망이론이 적절한 것으로 나타났으며 기존모형보다 사고건수를 예측하는 설명력이 높은 것으로 입증되었다. 본 연구에서 개발된 모형은 계획 및 운영단계에서 신호교차로의 안전성을 측정하는데 활용될 수 있으며, 궁극적으로는 신호교차로에서 교통사고를 줄이는데 기여할 수 있을 것으로 판단된다.

본 연구는 최근 급속하게 성장한 방송 사업자들 간의 거래 과정에서 발생하는 갈등 요인을 조망함으로써 공정 경쟁을 위한 기초적인 논의와 규제 방향에 대한 지향점을 제공하는데 주요 목적이 있다. 특히, 공정 경쟁의 문제는 시장에서의 경쟁을 통한 이윤 창출 부분과 밀접한 관련이 있다는 점에서 유료 방송사업자들(PP와 SO)의 행위에 대한 인식 조사를 중심으로 분석하고자 하였다. 본 연구에서는 크게 두 가지의 연구 문제를 설정하였다. 첫 번째는 공정 경쟁에 대한 실제 심결 사례를 분석함으로써, 현행 공정거래법 상의 불공정 거래 행위의 특성과 법적 적용 과정에서 나타나고 있는 문제점을, 두 번째는 방송위원회의 불공정거래 행위 실태 조사를 통해 실제 방송사업자들이 인식하고 있는 공정 경쟁의 현실을 조망해보고자 하였다. 분석 결과, 전반적인 차원에서 기업 결합과 관련한 심결 사례가 부각되고 있으며, PP의 경우 부당 광고 및 경품 제공을 통한 부당한 고객유인이, SO의 경우 거래상 지위의 남용과 같은 시장 지배적 지위 남용, 부당한 고객 유인 등이 주요 불공정거래행위의 특징으로 나타나고 있다. 또한 공정거래법 상의 제재조치는 표면화되고 구체적인 행위 결과에 집중하는 경향이 있어 비공식적인 관행을 중심으로 시장이 왜곡될 가능성이 존재하고 있는 것으로 분석되었다. 정부의 공정 경쟁 유도 방안은 힘의 불균형에 입각하여 형성되고 있는 시장 거래 관행을 바로잡고, 시장의 집중과 시장 지배에 따른 힘의 불균형을 최소화하는 방향에서 모색되어질 필요가 있다고 하겠다.

고령화가 진행될수록 고령운전자의 수 역시 증가될 것으로 예상되어 향후 고령운전자에 의한 교통사고는 급증할 것으로 판단된다. 본 연구는 고속도로 교통사고 발생시 고령층과 비고령층의 구분에 따른 교통사고 특성을 분석하였다. 분석결과 비고령층에 비해 고령층에 작용하는 영향요인이 다르게 나타남을 알 수 있었다. 로짓모형을 통해 비고령층과 고령층의 Odds Ratio를 분석하여 사고영향요인에 따른 차이점을 알아보았으며 고령운전자의 사고 분석 모형을 개발하였다. 비고령층에 비해 곡선구간 및 절토구간, 노면의 습기상태일 때 고령운전자의 사고위험이 높은 것으로 나타났다.

본 연구에서는 도로의 증가와 더불어 급속히 증가하고 있는 터널에서 차량이 터널에 진입할 때의 속도편차를 분석하여 터널입구부의 안전성을 증진할 수 있는 방안에 대하여 연구하였다. 터널의 존재는 운전자에게 그 자체만으로서 단순한 오르막 경사보다 더 큰 속도 감소를 유발하며, 터널 입구부에서 발생하는 차량 충돌사고는 다른 도로구간에서 발생하는 사고와 비교해 볼 때 피해가 더 크다. 따라서 사고로 인한 피해를 경감시키기 위해 터널 입구부에 PE방호벽이나 가드레일 등의 안전시설을 설치하고 있지만, 운전자에게 이것은 또 다른 장애물로 인식될 수 있다. 터널 입구부에 설치되어 있는 안전시설물의 형태는 크게 PE방호벽, 가드레일, PE 드럼 등이 있으나, 본 연구에서는 고속도로터널 입구에 일반적으로 가장 많이 설치되어 있는PE방호벽과 운전자에게 장애물로 인식될 수 있는 이러한 안전시설물이 설치되어 있지 않은 경우로 크게 구분하였다. 또한 터널 내부로 진입 할 때 갓길을 포함 우측방여유폭의 차이가 큰 경우와 작은 경우로 구분하였다. 4가지 형태의 터널 입구부에서의 차량속도와 일반도로구간에서의 YDS(차량검지체계)로 수집된 속도의 차이를 분석에 사용하였다. 통계적 검증을 통하여 안전시설물 설치 형태와 우측방여유폭의 차이에 따른 각 Case별 유의성을 검토하여 터널 입구부 안전성 증진을 위한 대안을 제시하고자 한다.

The purpose of this study was to investigate the preference of the general public about Japanese foods. Self-adminitered questionnaires were collected from 217 residents in seoul and its vicinities. Data was analysed by chi-square test, t-test and one-way ANOVA. The preference of Japanese food was generally high except for the items. These was a significant difference in the average score of preference for each kind of Japanese food according to gender and age. Saengsunchobab, Saewootuegim, Gowangawhae, Yhachai tuegim, Naembiwoodong and kimchobab are highly preferred Japanese foods, whereas Domijiri, Moduemnaembi, Haesamchowhae and Mooneachowhae are poorly considered among the general public.

The specific purposes of this study are that ; 1) to investigate the distinguished selection attributes on performance of Japanese chain restaurant according to general characteristics of the respondent ; 2) to find out relationships between selection attributes on performance for Japanese restaurant and customer's satisfaction Frequency analysis. one-way ANOVA, reliability analysis, factor analysis, multiple regression were used to analyze the data. Total 350 questionnaires were distributed and 312 were replied(89.14%). Selection attributes on performance for Japanese chain restaurant was divided into 7 factors. There are Factor1 'Store Image & Kindness', Factor2 'Sanitation & Taste', Factor3 'Approximation & Children's Menu', Factor4 'Delivery & Business Hours', Factor5 'Food Quantity & Korean Food', Factor6 'Service & Parking' Factor7 'Price & Publicity'. Monthly income, eating-out expense per once and type of companion have significant influences on selection attributes for performance. Customer's total satisfaction is significantly affected by selection attributes on performance. Factor7 'Price & Publicity' has the most significant influence on customer's satisfaction. We expect that the results can be used to provide basic information to plan marketing strategies, and take improved customer's satisfaction for Japanese chain restaurants.