대중교통수요예측을 위한 보행접근 및 승용차접근 잠재수요의 추정

Estimating Walk Access and Auto Access Ridership for Transit Demand Forecast

  • 발행 : 2003.01.01

초록

본 연구에서 대중교통 수요예측과정에서 교통죤(TAZ)내의 거주인구, 직장인 등 대중교통이용가능 잠재수요 추정을 개선하기 위한 새로운 방법이 제시되었다. 대중교통을 이용하기 위해서는 보행 또는 승용차(Park & Ride or Kiss & Ride)로 대중교통에 접근하는 바, 제시된 방법이 보행에 의한 대중교통 잠재수요 및 승용차에 의한 대중교통 잠재수요를 추정하는 데 있어 기존의 buffer method 및 network ratio method보다 합리적이고 개선된 방법임을 보여주고 있다. 본 연구에서 제시된 방법은 교통수단선택모형(mode choice model)의 적용과정에서 대중교통 수요예측을 개선할 수 있을 것으로 기대된다.

This paper presents a new method for estimating potential transit ridership residential population and number of employees that have accesses to transit services. A standard procedure that can be used to determine transit accessibility by pedestrians ad automobiles are developed to improve its transit demand forecasting capability. The analysis results are compared with those from the traditional buffer method as well as the network ratio method. It was found that the proposed method is more accurate than the traditional methods. The new method can be used to better estimate the "Walk Access" transit trips and "Auto Access" transit trips in the Mode Choice Model.

키워드

참고문헌

  1. Allen, W.B., Liu, D. and Singer, S. (1993). 'Accessibilitv Measures of U.S. Metropolitan Areas', Transportation Research Part B, 27B. Transportation Research Board, National Research Council. Washington. D.C., pp.439-449
  2. Azar. K. T., Ferrira, Jr. J., and Wiggins, L, (1994). 'Using GIS Tools to Improve Transit Ridership on Routes Serving Large Employment Centers: The Boston South End Medical Area Case Study', Computers, Environmental and Urban Systems, 18. pp,205-231 https://doi.org/10.1016/0198-9715(94)90025-6
  3. Cambridge Systematics (1994). The Effects of Land Use and Travel Demand Management Strategies on Commuting Behavior, Final report DOTT-95-06. Washington. D.C., U.S. Department of Transportation.
  4. Cleland. F., Hinebaugh, D.. and Rey, J. R.(1997), Transit Customer Satisfaction Index for Florida Transit Properties. Technical Memorandum No.3: Results and Analysis of Florida Transit Properties, Center for Urban Transportation Research, University of South Florida. Tampa. Florida
  5. Dehghani, Y., and Harvey, R.(1994), 'Fully Incremental Model for Transit Ridership Forecasting: Seattle Experience'. Transportation Research Record 1452. Transportation Research Board, National Research Council, Washington. D.C., pp.52-61
  6. FDOT(1997). FSUTMS Transit Network Model (TNET), Technical Report No. 11 in the Series of Documentation and Procedural Updates to the Flaida Standard Urban Transportation Model Structure (FSUTMS). Technical Report, Florida Department of Transportation. Tallahassee, Florida
  7. Gannett Fleming. Inc.(1998), Broward Urban Study Area Travel Forecast Model Validation, Technical Report No.2. prepared for Florida Department of Transportation
  8. Horowitz, A. J. (1985). Transit Ridership Forecasting - Reference Manual. Technical Report. Center for Urban Transportation Studies. University of Wisconsin. Milwaukee. Wisconsin
  9. Kockelman, K. M,(1995). 'Which Matters More in Mode Choice: Density or Income?'. Compendium of Technical Papers: the 65th Annual Meeting and 1995 District 6 Annual Meeting of the Institute cf Transportation Engineering, The Institute of Transportation Engineers. Washington. D.C., pp.844-867
  10. Kockelman, K. M.(1997). 'Travel Behavior as a Function of Accessibility. Land Use Mixing, and Land Use Balance: Evidence from Francisco Bay Area', Transportation Research Record 1607. Transportation Research Board, National Research Council. Washington, D.C., pp.116-125
  11. Koppelman. F. S. (1983), 'Predicting Transit Ridership in Response to Transit Service Changes', Journal of Transportation Engineering. 109. pp. 548-564 https://doi.org/10.1061/(ASCE)0733-947X(1983)109:4(548)
  12. O'Neill, W., Ramsey, D., and Chou. J.(1995). 'Analysis of Transit Service Areas Using Geographic Information Systems', Transportation Research Record No. 1364. Transportation Research Board. National Research Council. Washington. D.C., pp.131-138
  13. Pendyala, R. M.(1996). An Assessment of Transit System Modeling in the State of Florida. Final Report, Contract No. B-9815. Public Transit Office, Florida Department of Transportation. Tallahassee, Florida
  14. Richardson, A. J. and Young. W.(1982). 'A Measure of Linked-Trip Accessibility'. Transportation Planning and Technology 7. pp.73-82 https://doi.org/10.1080/03081068208717208
  15. Zhao, F. (1998). 'GIS Analysis of the Impact of Community Design on Transit Accessibility', Proceedings of the ASCE South Florida Section Annual Meeting, Sanibel Islands. Florida