IDEAS home Printed from https://ideas.repec.org/a/tec/journl/v28y2022i1p607-620.html
   My bibliography  Save this article

Study Of Tourism Travel Patterns In Bantul Regency, Yogyakarta Post Pandemic Covid-19

Author

Listed:
  • Hari Rahmadi

    (Sekolah Tinggi Pariwisata AMPTA Yogyakarta, Indonesia)

  • Setyo Prasiyono Nugroho

    (Sekolah Tinggi Pariwisata AMPTA Yogyakarta, Indonesia)

Abstract

This study aims to create a pattern of tourist travel in Yogyakarta, especially in Bantul Regency with the approach of Complex Neighborhood, Destination Region Loop, and Chaining Loop. The method used in the preparation of this travel pattern is through a qualitative approach by using primary data and secondary data. The qualitative data (narrative) is then described, grouped, analyzed, and mapped to be made into an image/pattern that can describe a travel pattern. Primary data was obtained through surveys, observations, and interviews with tourism stakeholders. Meanwhile, secondary data was obtained from databases and statistical data available at the Bantul Tourism Office and Yogyakarta Special Region Tourism Office, final reports and the results of relevant activities/research, as well as various other academic references. The results showed that the most visited tourist destinations were Baru Beach, Goa Cemara Beach, Pandansari Beach, Warung Ndeso, Krebet Tourist Village, Tourist Village, Kasongan, Natadamar Mangunan Coffee Shop, Seribu Batu, Glam Camp Bukit Lintang Sewu Mangunan, Tourist Village Banyusumurup.

Suggested Citation

  • Hari Rahmadi & Setyo Prasiyono Nugroho, 2022. "Study Of Tourism Travel Patterns In Bantul Regency, Yogyakarta Post Pandemic Covid-19," Technium Social Sciences Journal, Technium Science, vol. 28(1), pages 607-620, February.
  • Handle: RePEc:tec:journl:v:28:y:2022:i:1:p:607-620
    DOI: 10.47577/tssj.v28i1.5876
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/socialsciences/article/view/5876/2078
    Download Restriction: no

    File URL: https://techniumscience.com/index.php/socialsciences/article/view/5876
    Download Restriction: no

    File URL: https://libkey.io/10.47577/tssj.v28i1.5876?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

    Tourist Attraction; Tourist Destinations; Fam trip; Travel Pattern;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:tec:journl:v:28:y:2022:i:1:p:607-620. 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: Tasente Tanase (email available below). General contact details of provider: .

    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.