JOURNAL ARTICLE

Perceptions of Crowding and Access to Affordances in Capitol Reef National Park, Utah.

  • Published In: Northwest Journal of Communication, 2023, v. 51, n. 1. P. 43 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: MCKASY, MEAGHAN; BLEVINS, MARIA; STEVENS, MICHAEL T.; HERNÁNDEZ, LEANDRA H. 3 of 3

Abstract

In the United States, the National Park Service (NPS) is the agency entrusted to preserve and protect more than 400 NPS units, yet growing visitation to these sites is making that mission more difficult. Visitation to Capitol Reef National Park (CRNP), Utah, has doubled over the last decade. In response to these growing visitation numbers, researchers in this study worked with CRNP managers and used mixed methods to analyze visitors' perceptions of crowding. Quantitative survey assessments indicated that visitors did not think the park was crowded; however, the qualitative responses offer insight into issues with access to affordances--resources in the built environment that visitors expect--such as parking spots, campsites, and uncongested roads. Our results elucidate two key takeaways: (a) the importance of using both quantitative and qualitative methods to assess crowding and (b) how the actual number of visitors in a natural area can have less of an impact on perceptions of crowding than the strain on resources that visitors create. These findings have implications for communicators and land managers in a variety of settings who seek to balance increased visitation and visitors' expectations for amenities with the preservation of the natural areas themselves. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Northwest Journal of Communication. 2023/03, Vol. 51, Issue 1, p43
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2023
  • ISSN:1559-0003
  • Accession Number:178496225
  • Copyright Statement:Copyright of Northwest Journal of Communication is the property of Northwest Communication Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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