IDEAS home Printed from https://ideas.repec.org/a/osi/journl/v10y2014p891-900.html
   My bibliography  Save this article

Econometric Model For Forecasting Traffic On Croatian Motorways

Author

Listed:
  • Drago Pupavac

    (Polytechnic of Rijeka, Republic of Croatia)

Abstract

The basic objective of this scientific debate is to develop an econometric model for forecasting traffic on Croatian motorways. After many trial and errors procedures, two econometric models have been developed: one for the average annual daily traffic (Y=-2078,11-280,9GP+0,0012RV+0,695TA+4,129NE, r=0,85) and one for the average summer daily traffic (Y=7452-1097,55GP+0,00746RV+2,076TA- 9,5NE, r=0,91). In both models, the GDP was dismissed as a variable which directly affects the traffic on Croatian motorways. In both models gasoline prices(GP), the number of registered personal vehicles (RV), the number of tourist arrivals (TA) and the number of employees (NE) were selected as explanatory variables.

Suggested Citation

  • Drago Pupavac, 2014. "Econometric Model For Forecasting Traffic On Croatian Motorways," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 10, pages 891-900.
    • Handle: RePEc:osi:journl:v:10:y:2014:p:891-900
    as

    Download full text from publisher

    File URL: http://www.efos.hr/repec/osi/journl/PDF/InterdisciplinaryManagementResearchX/IMR10a67
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    econometrics; model; Croatian motorways; average traffic;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osi:journl:v:10:y:2014:p:891-900. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hrvoje Serdarusic, PhD (email available below). General contact details of provider: https://edirc.repec.org/data/efosihr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.