• Title/Summary/Keyword: Disaggregate demand forecasting model

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A study on the effect factors of the railway passenger demand forecasting by the disaggregate model (분배모형에 의한 철도 수요예측에서 영향인자에 대한 연구)

  • Oh, Seog-Moon;Hong, Soon-Heum
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.1445-1447
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    • 2000
  • 본 논문에서는 철도 수요예측 문제의 유형을 목적에 따라 3가지로 분류하였고, 최근 철도자원을 재고관리 차원에서 접근하고자 하는 시각에 따라 분배모형으로써 적응필터를 사용하는 방법의 타당성에 대해 설명하였다. 또 철도 승객수요의 주요 특징을 분석하였으며, 철도 승객수요 예측의 요구사항 및 방법론을 대규모 재고관리 시스템의 일반적 요구사항에 따라 정리하였다. 영향인자에 대한 분석으로 요일별 계절변동 지수를 정량적으로 산정하였다. 적응필터를 이용한 철도 승객수요 예측의 예제를 제시하였으며, 예측에의 정확성에 대한 비교를 제시하였다.

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Disaggregate Demand Forecasting and Estimation of the Optimal Price for UTIS Service (무선교통정보수집제공시스템(UTIS) 서비스의 이용 수요 예측 및 이용료 적정 수준 산정에 관한 연구)

  • Jang, Seok-Yong;Jung, Hun-Young;Ko, Sang-Seon
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.101-115
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    • 2008
  • This study reports UTIS(Urban Traffic Information System), which has been generalized in developed countries through brisk research and development and is being promoted for introduction by National Police Agency and Road Traffic Authority to reduce the astronomical amount of social expenses including traffic congestion expenses. Also this study investigates the proper charges for using by the preestimate of demand and contentment according to methods of payment after the service is introduced. The results of this study are as follows. First, demand forecast model is constructed by Binary Logit Model. Second, forecast models of using aspects of UTIS service according to methods of payment are established by Ordered Probit Model. Third, the proper charges for using of UTIS service according to methods of payment are presented to the supplier in the aspects of users. For this, preferences by using aspects and methods of payment are captured. And unit elasticity of coefficient of utilization is understood through responsiveness analysis according to methods of payment.

A Study on Effect in Demand by a Discounted Charge for Continuous Use on Toll Roads (유료도로 연계이용에 있어서 요금할인이 이용수요에 미치는 영향에 관한 연구)

  • Jeong, Heon-Yeong;Lee, Jeong-Ho;Kim, Jang-Gyu
    • Journal of Korean Society of Transportation
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    • v.27 no.4
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    • pp.77-89
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    • 2009
  • With an increasing number of cars in Korea, the government is constantly providing roads and their related facilities. However the fundamental problems of cities like the structure of cities and the environment of roads make the traffic congestion of downtowns. To solve this problem the construction of toll roads such as tunnels and bridges is increasing but use rates of drivers is low. With more tolls required, less persons will use the roads. Thus this study is to consider offering discounted charges when using the two or more toll roads together. This study analyzes the impact that discounted charges would bring to the demand. In the meantime we looks into what the proper range should be for the discount. The results of this study are expected to be used as basis for the introduction of a discount system in the future.

Freight Mode Choice Modelling with Aggregate RP Data and Disaggregate SP Data (집계적 현시선호자료와 비집계적 진술선호자료를 이용한 화물수단선택모형 구축)

  • Kang, Woong;Lee, Jang-Ho;Park, Minchoul
    • Journal of the Korean Society for Railway
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    • v.20 no.2
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    • pp.265-274
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    • 2017
  • For accurate demand forecasting of railway logistics, we estimated intercity freight mode choice models based on the binary logit model and using production-consumption data from the Korea Transport Database. We estimated two types of models and compared the results by major item of railway logistics, such as container, cement, and steel: 1) The aggregate freight mode choice models are based on the revealed preference (RP) data and 2) The disaggregate models are based on the stated preference (SP) data. With respect to the container, the travel time variable was found to be statistically significant; however, the travel cost variable was not statistically significant in the RP model, while the travel cost variable was statistically significant in the SP model. For cement and steel, the travel cost variables were statistically significant but the travel time variables were not statistically significant in either the RP or the SP models. These results are inconsistent with results from previous studies based on SP data, which showed that the travel time variables were significant. Consequently, it can be concluded that the travel time factor should be considered in container transport, but that this factor is negligible for cement and steel transport.

Disaggregate Demand Forecasting and Estimation of the Optimal Price for VTIS (부가교통정보시스템(VTIS) 이용수요예측 및 적정이용료 산정에 관한 연구)

  • 정헌영;진재업;손태민
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.27-38
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    • 2002
  • VTIS(Value-added Traffic Information System), among the sub-systems of ATIS, is an Advanced Traffic System which innovates efficiency and safety. And this system, having marketability and publicness, is very important. Moreover, This system offers definite traffic information according to the demand of specified users. And it is expected to produce additional spread effects because of high participation rate of private sector. However, the VTIS service media are varied and there are varied optimal Prices and payment methods according to each medium. Because of that, there needs the study on these problems or optimal criteria. But because existing studies were devoted to estimate the optimal route, the study toward the optimal price which was considered part of user and service use demand do not exist. Accordingly, we surveyed under imaginary alternative pricing scenarios and forecasted the use demand of VTIS by using Binary Logit model. Also, for the users who answered that they would use VTIS service in survey, we classified their use's behaviors as four categories and estimated the use ratio to each category by using Ordered Probit model. Last, using sensitivity analysis for results form above, we derived the optimal price that is 2800won in monthly. 145won in payment per call. Then, VTIS service use rate is respectively 65%, 75%.