IDEAS home Printed from https://ideas.repec.org/a/ole/journl/v20y2025i2p185-197.html

Application Of Methods Of Two-Dimensional Data Analysis Based On Observation Depth Measure In A Sample

Author

Listed:
  • Malgorzata Kobylinska

    (Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn)

Abstract

In Poland, cycling is becoming increasingly popular as a fast form of transport and recreation. The aim of this study was to assess the density of bicycle paths and the percentage of road accidents involving bicycles as the responsible vehicle in voivodeships, using selected statistical methods based on observation depth measure in a sample. The methods used allowed for the ranking of voivodeships in terms of the values of the diagnostic features studied and the identification of voivodeships with the lowest or highest values of bicycle path density and the percentage of road accidents in which a bicycle was the vehicle responsible. Based on the analysis, it can be concluded that the highest density of bicycle paths in the years under study was recorded in the Pomorskie, Wielkopolskie, and Slaskie voivodeships, while the highest percentage of road accidents in which a bicycle was the perpetrator was recorded in the Malopolskie and Podkarpackie voivodeships. The lowest density of bicycle paths was recorded in the Warminsko-Mazurskie voivodeship.

Suggested Citation

  • Malgorzata Kobylinska, 2025. "Application Of Methods Of Two-Dimensional Data Analysis Based On Observation Depth Measure In A Sample," OLSZTYN ECONOMIC JOURNAL, University of Warmia and Mazury in Olsztyn, Faculty of Economic Sciences, vol. 20(2), pages 185-197, December.
    • Handle: RePEc:ole:journl:v:20:y:2025:i:2:p:185-197
    DOI: https://doi.org/10.31648/oej.11936
    as

    Download full text from publisher

    File URL: https://czasopisma.uwm.edu.pl/index.php/oej/article/view/11936/8638
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.31648/oej.11936?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development

    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:ole:journl:v:20:y:2025:i:2:p:185-197. 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: Wioletta Wierzbicka (email available below). General contact details of provider: https://czasopisma.uwm.edu.pl/index.php/oej .

    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.