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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Society of Transportation
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Korean Society of Transportation
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Volume & Issues
Volume 34, Issue 3 - Jun 2016
Volume 34, Issue 2 - Apr 2016
Volume 34, Issue 1 - Feb 2016
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Exploring the Temporal Relationship Between Traffic Information Web/Mobile Application Access and Actual Traffic Volume on Expressways
RYU, Ingon ; LEE, Jaeyoung ; CHOI, Keechoo ; KIM, Junghwa ; AHN, Soonwook ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 1~14
DOI : 10.7470/jkst.2016.34.1.001
In the recent years, the internet has become accessible without limitation of time and location to anyone with smartphones. It resulted in more convenient travel information access both on the pre-trip and en-route phase. The main objective of this study is to conduct a stationary test for traffic information web/mobile application access indexes from TCS (Toll Collection System); and analyzing the relationship between the web/mobile application access indexes and actual traffic volume on expressways, in order to analyze searching behavior of expressway related travel information. The key findings of this study are as follows: first, the results of ADF-test and PP-test confirm that the web/mobile application access indexes by time periods satisfy stationary conditions even without log or differential transformation. Second, the Pearson correlation test showed that there is a strong and positive correlation between the web/mobile application access indexes and expressway entry and exit traffic volume. In contrast, truck entry traffic volume from TCS has no significant correlation with the web/mobile application access indexes. Third, the time gap relationship between time-series variables (i.e., concurrent, leading and lagging) was analyzed by cross-correlation tests. The results indicated that the mobile application access leads web access, and the number of mobile application execution is concurrent with all web access indexes. Lastly, there was no web/mobile application access indexes leading expressway entry traffic volumes on expressways, and the highest correlation was observed between webpage view/visitor/new visitor/repeat visitor/application execution counts and expressway entry volume with a lag of one hour. It is expected that specific individual travel behavior can be predicted such as route conversion time and ratio if the data are subdivided by time periods and areas and utilizing traffic information users` location.
A Study on Preparing Measures for Reducing Aggressive Driving and Road Rage by Analysing Mechanism of How the Driving Behavior Determinants and Dangerous Driving Behavior Factors Affect Aggressive Driving and Road Rage: Targeting Traffic Law Violator and Assaulter of a Traffic Accident
KIM, Soo Jin ; JUNG, Cheol Su ; JANG, Seok Yong ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 15~28
DOI : 10.7470/jkst.2016.34.1.015
The purpose of this study is to prepare countermeasures for aggressive driving and road rage which have recently become a hot issue by analysing mechanism of how the driving behavior determinants(personal anger and aggression) and dangerous driving behavior factors(aggressive driving behavior and over-speeding driving behavior, drunk driving behavior, inattentive driving behavior, and inexperience driving behavior) affect aggressive driving and road rage. From the survey conducted by seven branches of the Road Traffic Authority with 351 people who were traffic offenders and drivers who caused car accidents, this study obtained three results as follows. First, seriousness of aggressive driving and road rage and requirements as types of customized educations, proper length of time for education, and contents of education can be understood. Second, specific relation and mechanism between the driving behavior determinants and dangerous driving behavior factors with respect to aggressive driving and road rage can be clearly identified, which helps to set order of priority and weighting of measures for reducing aggressive driving and road rage. Third, countermeasures can be categorized as corporate measures or customized measures through mechanism analysis model of aggressive driving and road rage.
Analysis of Speeding Characteristics Using Data from Red Light and Speed Enforcement Cameras
PARK, Jeong Soon ; KIM, Joong Hyo ; HYUN, Chul Seng ; JOO, Doo Hwan ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 29~42
DOI : 10.7470/jkst.2016.34.1.029
Speeding is an important factor in traffic safety. Speed not only affects crash severity, but is also related to the possibility of crash occurrence. This study presents results from an analysis of 27,968 speed violation cases collected from 36 red light and speed enforcement cameras at signalized intersections in the city of Cheongju. Data included details of their violation history such as speeding tickets within a recent 3-year span and their demographic characteristics. The goal of this analysis is to understand the correlation between speed violations and various factors in terms of humans, vehicles and road environments. This study used descriptive statistics and Binary Logistics Regression(BLR) analysis with SPSS 20.0 software. The major results of this study are as follows. First, speed violations occurred at rural and suburban area. Second, about 25.6% of the violators committed to more than 20km/h over a speed limit. Third, the difference between speed violators and normal drivers clearly appeared in location of intersection(urban/rural/suburban area), gender and age. Finally, a statistically significant model(Hosmer and Lemeshow test: 11.586, p-value: 0.171) was developed through the BLR.
Economic Valuation and Determinant Factors of Bicycle Sharing System in Daejeon City
LEE, Jaeyeong ; HAN, Sangyong ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 43~54
DOI : 10.7470/jkst.2016.34.1.043
Although there are continuous demands for activating BSSs(Bicycle Sharing Systems) due to the convenience and positive health effects, it is difficult to make a decision to support the existing systems and build more systems because of the deficit resulting from the operation of BSSs. Consequently, this study estimated the economic effects(WTP; Willingness to Pay) of BSS and analyzed the impact factors of WTP to support the above decision making in Daejeon. For this, we conducted a survey and collected 668 samples from the users and non-users of TASHU that is the BSS operated in Daejeon. Also, we used CVM(Contingent Valuation Method) for the estimation of WTP. The results show that the number of bicycle uses is a determinant factor having a positive relationship with WTP and car ownership and age are also determinant factors having a negative relationship with WTP. On the other hand, income and sex have no significant statistical relationship with WTP. Also, the economic benefit of TASHU was estimated as much as 49.9 billion KRW to 63.6 billion KRW. Considering the operation cost of 2.5 billion KRW, it is quite big benefit. Based on the results, it needs to support TASHU from a user perspective for the efficient operation of the system.
Study on the Effect of Service Quality on Customer Satisfaction and Revisit Intent in the Urban Railway
KIM, Heung Chul ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 55~67
DOI : 10.7470/jkst.2016.34.1.055
The purpose of this study is to analyze the correlation and the causal relation between the service quality, customer satisfaction and revisit intent of an urban railway. A structural equation model(SEM) was developed and analyzed using SPSS 21.0 and AMOS 21.0. The results showed that it satisfies the fitness of the model mostly: the reliability, convenience, safety of the service quality have a significant positive impact on the customer satisfaction (p<.05) and the tangibles(-.187) and responsiveness(-.103) have no impact on the customer satisfaction (p>.05.). The customer satisfaction has a significant positive impact on revisit intention (p<.001). The factors affecting the service quality and customers` satisfaction were found to be ranked as the order of reliability, convenience, safety, responsiveness, tangibility based on the high priority. The findings of this study will contribute to provide a practical tool to establish a mid-long term management plan and management strategies for boosting the customer satisfaction and creating revenue through the customized service of urban railway operating industry suffering chronic deficit.
Development of an Algorithm for Dynamic Traffic Operations of Freeway Climbing Lane Toward Traffic Safety
PARK, Hyunjin ; YOUN, Seokmin ; OH, Cheol ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 68~80
DOI : 10.7470/jkst.2016.34.1.068
Interest in freeway truck traffic has increased largely due to greater safety concerns regarding truck-related crashes. The negative interactions between slow-moving trucks and other vehicles are a primary cause of hazardous conditions, which lead to crashes with larger speed variations. To improve operational efficiency and safety, providing a climbing lane that separates slow-moving trucks from higher performance vehicles is frequently considered when upgrading geometrics. This study developed an operations strategy for freeway climbing lanes based on traffic conditions in real time. To consider traffic safety when designing a dynamic strategy to determine whether a climbing lane is closed or open, various factors, including the level of service (LOS) and the percentage of trucks, are investigated through microscopic simulations. A microscopic traffic simulator, VISSIM, was used to simulate freeway traffic streams and collect vehicle-maneuvering data. Additionally, an external application program interface, VISSIM`s COM-interface, was used to implement the proposed climbing lane operations strategies. Surrogate safety measures (SSM), including the frequency of rear-end conflicts and, were used to quantitatively evaluate the traffic safety using an analysis of individual vehicle trajectories obtained from VISSIM simulations with various operations scenarios. It is expected that the proposed algorithm can be the backbone for operating the climbing lane in real time for safer traffic management.
Diagnosis on Degree of Saturation Model of COSMOS Affected by Geometric and Detection Conditions and Detector Placements
KIM, Jun-Young ; KIM, Jin Tae ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 81~94
DOI : 10.7470/jkst.2016.34.1.081
The Korean real-time traffic responsive control systems, Cycle Offset Split Model of Seoul (COSMOS), employs a single theoretical model to estimate the degree-of-saturation (DS) on approaches. However, the deployment of the system has been accomplished without practical consideration of its field performance. This paper delivers a diagnosis study performed to find the relationships yet known on the DS values against the operational conditions unproved in theory but ordinarily observed in field practice. Based on the analysis of the historical log data (476,505 cycles) obtained from the COSMOS server, it was found; (1) full coverage of lane detections should perform better than the sample coverage of detection in ordinary conditions, (2) the sample coverage of detection perform better than the other case with an exclusive bus lane, (3) detection in which a shared lane is involved provide poor estimation of DS, (4) poor DS estimation when a detection lane is adjacent to a shared lane, and (5) the DS values obtained during a day can hardly be stable all time. The findings suggest traffic engineers a progressive direction to move forward for the next real-time traffic control systems.
The Development of Econometric Model for Air Transportation Demand Based on Stationarity in Time-series
PARK, Jeasung ; KIM, Byung Jong ; KIM, Wonkyu ; JANG, Eunhyuk ;
Journal of Korean Society of Transportation, volume 34, issue 1, 2016, Pages 95~106
DOI : 10.7470/jkst.2016.34.1.095
Air transportation demand is consistently increasing in Korea due to economic growth and low cost carriers. For this reason, airport expansion plans are being discussed in Korea. Therefore, it is essential to forecast reliable air transportation demand with adequate methods. However, most of the air transportation demand models in Korea has been developed by simple regression analysis with several dummy variables. Simple regression analysis without considering stationarity of time-series data can bring spurious outputs when a direct causal relationship between explanatory variables and dependent variable does not exist. In this paper, econometric model were developed for air transportation demand based on stationarity in time-series data. Unit root test and co-integration test are used for testing hypothesis of stationarity.