• Title/Summary/Keyword: Passenger demand pattern

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Effect of Surface Roughness on Weld-bonding Process using Heterogeneous Materials (델타스폿용접을 이용한 이종소재 웰드본딩공정 시 표면 거칠기 부여 가공방법의 영향)

  • Kim, Young-Hyun;Kim, Jaewoong;Kim, Jisun;Kim, Young-Gon;Pyo, Changmin
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.11
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    • pp.102-108
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    • 2020
  • The demand for lightweight materials and high-strength steel has rapidly increased to help reduce the weight of a vehicle body; it improves the fuel efficiency of automobiles and provides passenger safety. Additionally, as the material becomes thinner, the demand for its resistance against corrosion becomes higher. Hence, the application of the surface-treated steel sheet has surged rapidly. In this study, a weld bonding experiment using a delta spot welding machine is performed on a thin sheet of a different material (Al6061-T6/GA440). The thickness of the material was kept at 1 mm to reduce the weight of the automobile body parts. Additionally, the purpose of this study is to control the heat input by applying the welding conditions of a multi-stage pressure pattern to improve corrosion resistance shear strength. The analysis of nugget diameter measurement, shear tensile test, and salt spray test was performed to achieve the aim.

Demand Pattern of the Global Passengers: Sea and Air Transport (글로벌 여객의 해상과 항공운송에 대한 수요패턴)

  • Mo, Soo-Won
    • Journal of Korea Port Economic Association
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    • v.27 no.1
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    • pp.1-11
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    • 2011
  • The main purpose of this paper is to estimate the impact of exchange rate and economic business activity on the passengers' demand for international transportation. The demand pattern depends upon the transport vehicles that the global passengers take. The global passengers' demand for transportation is modelled as exchange rate, industrial production and seasonal dummy variables. The seasonality is found in both water and air, but the former is far greater than the latter. All series span the period January 1990 to December 2008. The empirical results of this paper reveal that the income elasticity of sea transport is greater than that of air one, all of which are positive. The study also shows that the exchange rate has an significant impact on the demand for air transport, whereas it is insignificant in water transport. The impulse response function indicates that passengers increase steadily before peaking seven to eight months after the shocks to economic business activity and decline very slowly to its pre-shock level. The air passengers also respond negatively to the shocks in exchange rate and the impacts of exchange rate shock seem to decrease relatively slowly, while the water passengers respond positively after six months. The industrial production shocks remain above equilibrium for more than twenty four months, while the exchange rate shocks remain below equilibrium for more than twenty four months. Boosted by improved economic conditions worldwide, international tourism has recovered faster than expected from the impacts of the global financial crisis and economic recession of late 2008 and 2009. These facts suggest that the demand of global water transport has the high possibility of growing steadily and continuously.

Estimating the Trip Purposes of Public Transport Passengers Using Smartcard Data (스마트카드 자료를 활용한 대중교통 승객의 통행목적 추정)

  • JEON, In-Woo;LEE, Min-Hyuck;JUN, Chul-Min
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.1
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    • pp.28-38
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    • 2019
  • The smart card data stores the transit usage records of individual passengers. By using this, it is possible to analyze the traffic demand by station and time. However, since the purpose of the trip is not recorded in the smart card data, the demand for each purpose such as commuting, school, and leisure is estimated based on the survey data. Since survey data includes only some samples, it is difficult to predict public transport demand for each purpose close to the complete enumeration survey. In this study, we estimates the purposes of trip for individual passengers using the smart card data corresponding to the complete enumeration survey of public transportation. We estimated trip purposes such as commute, school(university) considering frequency of O-D, duration, and departure time of a passenger. Based on this, the passengers are classified as workers and university students. In order to verify our methodology, we compared the estimation results of our study with the patterns of the survey data.

Determining Transit Vehicle Dispatching Time (최적 배차시각 설정에 관한 해석적 연구)

  • Park, Jun-Sik;Go, Seung-Yeong;Kim, Jeom-San;Gwon, Yong-Seok
    • Journal of Korean Society of Transportation
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    • v.25 no.3
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    • pp.137-144
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    • 2007
  • This study involves an analytical approach to determine transit dispatching schedules (headways) Determining a time schedule is an important process in transit system planning. In general, the transit headway should be shorter during the peak hour than at non-peak hours for demand-responsive service. It allows passengers to minimize their waiting time under inelastic, fixed demand conditions. The transit headway should be longer as operating costs increase, and shorter as demand and waiting time increase. Optimal headway depends on the amount of ridership. and each individual vehicle dispatching time depends on the distribution of the ridership. This study provides a theoretical foundation for the dispatching scheme consistent with common sense. Previous research suggested a dispatching scheme with even headway. However, according to this research, that is valid for a specific case when the demand pattern is uniform. This study is a general analysis expanding that previous research. This study suggests an easy method to set a time table without a complex and difficult calculation. Further. if the time axis is changed to the space axis instead, this study could be expanded to address the spacing problems of some facilities such as roads. stations, routes and others.

Performance of the Road Network with Market Penetration Rates and Traffic Volumes of Autonomous Vehicle using Traffic Simulation (시뮬레이션 기반 자율주행자동차 혼입률과 교통량 변화에 따른 도로 네트워크의 성능 분석)

  • Do, Myungsik;Jeong, Yumi
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.44 no.3
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    • pp.349-360
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    • 2024
  • The purpose of this study is to analyze the performance of the road network according to the penetration rate of autonomous vehicles (AV) of Level 4 or higher and the change in traffic volume. First, prior studies related to vehicle control variables of AV were reviewed, and future traffic demand in 2040, which is predicted to have a 50 % market share of AVs, was reflected in the simulation analysis. In addition, the change in traffic flow of continuous and intermittent flows was analyzed by increasing the AV market penetration rate and traffic volume of passenger cars, trucks, and buses by 25 % step by step from 0 to 100 %. As a result of the analysis, it was confirmed that the travel time increased as the traffic increased, and the pattern of decreasing the travel time due to the increase in the share of AVs, that is, the development of technology, can also be confirmed. Furthermore, it was also confirmed that the traffic speed showed a trend of increasing as the share of AVs increased. In this study, it was confirmed that the law of diminishing marginal rate of substitution (MRS) was satisfied by calculating the MRS according to the combination of traffic volume and speed while increasing the market penetration rate of AVs. Furthermore, it was confirmed that the convexity of the indifference curve was also satisfied in both intermittent and continuous traffic flow environments.