• Title/Summary/Keyword: OD기반 통행분포 패턴분석

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Comparison Between Travel Demand Forecasting Results by Using OD and PA Travel Patterns for Future Land Developments (장래 개발계획에 의한 추가 통행량 분석시 OD 패턴적용과 PA 패턴적용의 분석방법 비교)

  • Kim, Ikki;Park, Sang Jun
    • Journal of Korean Society of Transportation
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    • v.33 no.2
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    • pp.113-124
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    • 2015
  • The KOTI(Korea Transport Institute) released the new version of KTDB(Korea Transport DataBase) in public. The new KTDB is different from the past KTDB in using the concept of trip generation and trip attraction instead of using the concept of Origin-Destination (OD), which was used in the past KTDB. Thus, the appropriate analysis method for future travel demand became necessary for the new type of KTDB. The method should be based on the concept of PA(Production-Attraction). This study focused on analysis of trip generation and trip distribution related to newly generated trips by future land developments. The study also described clearly the standardized forecasting process and methods with PA travel tables. The study showed that the analysis results with OD-based analysis can be different from the results with PA-based analysis in forecasting travel demand for a simple example case even though they used exactly same orignal travel data. Therefore, this study emphasized that a proper method should be applied with the new PA-based KTDB. It is necessary to prepare and disseminate guidelines of the proper forecasting method and application with PA-based travel data for practician.

3-Dimensional Balancing Technique for Nationwide Travel Demand Model using Toll Collecting System Data (3-D 기법을 이용한 TCS기반 전국 교통수요 추정 연구)

  • 이승재;이헌주
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.63-72
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    • 2002
  • We applied 3-D balancing technique to estimate nationwide travel demand using travel behavior of Toll Collecting System data, socio-economic data in the region, and the data of several organizations connected with travel demand estimation. The results from this study were validated by the indices of RMSE(Root Mean Square Error), TLFD(Trip Length Frequency Distribution). TCS based inter-city average travel to measure of reliability and adequacy of estimated travel demand. Finally, 3-D technique seems to reflect more travel behavior of TCS OD than 2-D technique, but we cannot assert that 3-D technique superior to 2-D technique.