This report describes a simulation model developed to analyse parking demand associated with multi use land development. Approaches used to determine the parking need, ranging from empirical methods, deterministic model, queueing model to existing simulation models are reviewed. These approaches all have limitations due to either simple assumptions, constraints or inefficiencies and none addressed directly the parking need for multi use facilities. It was decided to develop a simulation model to determine the parking need and capacity performance factors for multi use facilities. A computer package was written using basic on a IBM personal computer to include the simulation model, data management program and other support models: deterministic and queueing model. The data management program was developed to prepare input data files for the simulation model which comprises two programs. The first simulation program was used to provide a quick calculation of vehicle accumulation on the assumption that every arrival will find a parking space. The second simulation program was used to analyse the capacity performance of a parking system of known capacity by providing the vehicle accumulation, the utilisation factor and the proportion of drivers finding a parking space. The user can observe these performance indicators to determine the desirable parking need for the system. The model was verified by comparing it with the deterministic model, the queueing model and other simulation models. It indicated that the parking need determined by this simulation model is significantly higher than that by the deterministic model and comparable with that by the queueing model and the other simulation models. The model was validated by comparing the vehicle accumulation determined from the model with that determined from the field output data. The sensitivity test indicates that the model output is related to the arrival pattern, but is indifferent with two duration distributions: Erlang and exponential. The paper is based on author's master of engineering science thesis. (TRRL)

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  • Corporate Authors:

    Monash University

    Wellington Road
    Clayton, Victoria  Australia  3800
  • Authors:
    • Le, Huu Hien
  • Publication Date: 1989-4

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Filing Info

  • Accession Number: 00499020
  • Record Type: Publication
  • Source Agency: ARRB
  • Report/Paper Numbers: 5
  • Files: ITRD, TRIS, ATRI
  • Created Date: Sep 30 1990 12:00AM