IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v24y2021i24p3552-3568.html
   My bibliography  Save this article

A retrospective analysis of injury cases for visitor risk management in a nature-based touristic destination

Author

Listed:
  • Jittakon Ramanpong
  • Chih-Da Wu
  • Chia-Pin Yu
  • Ming-Jer Tsai

Abstract

Outdoors organization is necessary in order to learn from prior experiences so as to create a proactive visitor risk management approach. Using retrospective analysis, this paper presents the epidemiology of visitor injuries at a forest recreation area in Taiwan. This article estimates that the injury rates occurred by weather and topographical factors using Poisson and negative binomial (NB) regression models, because the data characteristics in the current study are discrete and non-negative values. Weather variables, such as average temperature, relative humidity, and rain condition, have a positive relationship with visitor injury rate, which model selection criteria and goodness−of−fit showed to be the best fit for the NB model. The effects of topographic factors, namely average elevation and average slope of injury locations, are insignificant for visitor injury rate. Our finding confirms injury rates in nature are associated with weather, especially the appearance of rain. Each of these offers empirical evidence for future injury prevention programmes and for the proper perception of injury risk.

Suggested Citation

  • Jittakon Ramanpong & Chih-Da Wu & Chia-Pin Yu & Ming-Jer Tsai, 2021. "A retrospective analysis of injury cases for visitor risk management in a nature-based touristic destination," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(24), pages 3552-3568, December.
  • Handle: RePEc:taf:rcitxx:v:24:y:2021:i:24:p:3552-3568
    DOI: 10.1080/13683500.2021.1902286
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2021.1902286
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2021.1902286?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:rcitxx:v:24:y:2021:i:24:p:3552-3568. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    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.