IDEAS home Printed from https://ideas.repec.org/a/igg/jthmda/v5y2021i2p1-14.html
   My bibliography  Save this article

A Case Study of Tourism in North Carolina State Parks Using Google Trends

Author

Listed:
  • Aaron Bradley Scott

    (Liberty University, USA)

Abstract

The purpose of this study is to examine available innovative technologies as a means to forecast visitors to the North Carolina State Park system. The research will use Google Trends as the innovative technology and using the data from Google search queries to measure relationship from searches to visitors. This examination will include literature review and data collection methods. Furthermore, the quantitative measures will include the Pearson Correlation Coefficient (Pearson) and Time-Series Linear Modeling (TSLM), which accounts for seasonal and trending values. The data from the state parks were provided by the Public Information Office of the North Carolina Division of Parks and Recreation. Additionally, the search query data was collected from Google Trends. Two locations within the Appalachian Mountains of western North Carolina were selected due to the exclusivity of the locations and to capture visit behavior in search queries. Those locations are Mount Mitchell State Park and Grandfather Mountain State Park.

Suggested Citation

  • Aaron Bradley Scott, 2021. "A Case Study of Tourism in North Carolina State Parks Using Google Trends," International Journal of Tourism and Hospitality Management in the Digital Age (IJTHMDA), IGI Global, vol. 5(2), pages 1-14, July.
    • Handle: RePEc:igg:jthmda:v:5:y:2021:i:2:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTHMDA.298703
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jthmda:v:5:y:2021:i:2:p:1-14. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.