8 datasets found
  1. Utah Tourism Indicators Table 21.1 1983-2014 Utah

    • opendata.utah.gov
    application/rdfxml +5
    Updated Jan 26, 2016
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    Sources: National Park Service; Utah State Tax Commission; Utah Department of Transportation; Department of Workforce Services; Department of National Park Service, Tax Commission, Dept of Transportation, DWS, Ski Utah, Smith Travel Research (2016). Utah Tourism Indicators Table 21.1 1983-2014 Utah [Dataset]. https://opendata.utah.gov/Business-Economy/Utah-Tourism-Indicators-Table-21-1-1983-2014-Utah/k8z8-7aa9
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    tsv, application/rssxml, application/rdfxml, xml, csv, jsonAvailable download formats
    Dataset updated
    Jan 26, 2016
    Dataset provided by
    Utah Department of Transportationhttps://udot.utah.gov/
    National Park Servicehttp://www.nps.gov/
    Authors
    Sources: National Park Service; Utah State Tax Commission; Utah Department of Transportation; Department of Workforce Services; Department of National Park Service, Tax Commission, Dept of Transportation, DWS, Ski Utah, Smith Travel Research
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    This data set contains Utah tourism information from 1983-2014 as reported by the Economic Report to the Governor.

  2. f

    Data from: Climate and visitation to Utah's ‘Mighty 5’ national parks

    • tandf.figshare.com
    docx
    Updated Jun 2, 2023
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    Jordan W. Smith; Emily Wilkins; Riana Gayle; Chase C. Lamborn (2023). Climate and visitation to Utah's ‘Mighty 5’ national parks [Dataset]. http://doi.org/10.6084/m9.figshare.5902198.v1
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Jordan W. Smith; Emily Wilkins; Riana Gayle; Chase C. Lamborn
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Utah
    Description

    The relationship between climate and visitation to managed natural areas has been analyzed at a variety of different spatial scales. We expand upon our existing knowledge on this topic by: (1) determining how a wide range of climate variables affect visitation across a regional tourism system; and (2) identifying which variables affect visitation system-wide and which variables only affect visitation at specific parks. Our analysis focuses on five national parks located in southern Utah (USA) commonly referred to as ‘the Mighty 5’. We found monthly average daily maximum temperatures were the best predictor of system-wide visitation, suggesting average daily maximum temperatures play a more direct role in tourists’ travel decisions relative to other climate variables, including other derivations of temperature. We also found declines in monthly park visitation for three parks (Arches, Canyonlands, and Capitol Reef) once average daily maximum temperatures exceed 25 C. For Bryce Canyon and Zion however, monthly visitation continued to increase well above this threshold. The geophysical characteristics of these parks appear to mediate the relationship between average daily maximum temperature and visitation. The commonly found ‘inverted U-shape’ relationship between temperature and visitation should not be seen as a universal maxim. We also found precipitation to be a poor predictor of system-wide visitation, but a significant factor shaping the travel decisions of visitors to Bryce Canyon, the only park to offer snow-based outdoor recreation opportunities. Future research should not disregard the possibility of precipitation being a significant factor shaping visitors’ travel decisions. By conducting our analyses at two distinct scales, we have found there is a difference between the individual climate variables that are regionally-significant drivers of visitation and those that are locally-significant drivers of visitation. Scale matters in analyses of the relationship between climate and visitation.

  3. p

    Tourist Information Centers in Utah, United States - 92 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jun 28, 2025
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    Poidata.io (2025). Tourist Information Centers in Utah, United States - 92 Verified Listings Database [Dataset]. https://www.poidata.io/report/tourist-information-center/united-states/utah
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Utah, United States
    Description

    Comprehensive dataset of 92 Tourist information centers in Utah, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  4. p

    State Department Of Tourisms in Utah, United States - 2 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 2, 2025
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    Poidata.io (2025). State Department Of Tourisms in Utah, United States - 2 Verified Listings Database [Dataset]. https://www.poidata.io/report/state-department-of-tourism/united-states/utah
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Utah, United States
    Description

    Comprehensive dataset of 2 State Department of Tourisms in Utah, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  5. o

    Weather & Summer Spatial Behavior of U.S. National Park Visitors (Flickr...

    • openicpsr.org
    delimited
    Updated Jan 26, 2021
    + more versions
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    Emily J. Wilkins; Jordan W. Smith (2021). Weather & Summer Spatial Behavior of U.S. National Park Visitors (Flickr data 2006 - 2018) [Dataset]. http://doi.org/10.3886/E119191V2
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    delimitedAvailable download formats
    Dataset updated
    Jan 26, 2021
    Dataset provided by
    Utah State University
    Authors
    Emily J. Wilkins; Jordan W. Smith
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Dataset funded by
    National Science Foundation
    Institute of Outdoor Recreation and Tourism at Utah State University
    Utah State University Office of Research
    Description
    This dataset corresponds to the following paper: Wilkins, E. J., Howe, P. D., & Smith, J. W. (2021). Social media data reveal ecoregional variation in how weather influences visitor behavior in U.S. National Park Service Units. Scientific Reports. https://doi.org/10.1038/s41598-021-82145-z

    In this paper, we investigate how daily temperature and precipitation in the summer influence visitors' spatial behavior in 110 U.S. National Park Service Units. We use Flickr data from 2006 - 2018 to uncover visitors locations within parks, and connect each geotagged point to the weather at the date the photo was taken (using Daymet data), as well as nearby infrastructure and environmental features (using OpenStreetMap data).

    While we cannot provide the raw Flickr data due to privacy concerns, we include the final database we used after all data collection, cleaning, and processing (all_ecoregions_Flickr.csv). All personally identifiable information is deleted from this database. This database was used to run the statistical tests presented in the paper, as well as generate the maps (R code included).

    We also include maps of each of the 110 study sites that show the general summer spatial distributions of Flickr posts in each park, and well as how the spatial distributions differ by hot and cold summer days.

  6. d

    Climate change at Utah ski resorts: Impacts, perceptions, and adaptation...

    • search.dataone.org
    • hydroshare.org
    Updated Apr 15, 2022
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    Hadia Akbar; Emily J. Wilkins; Tara Saley; Rachel Hager (2022). Climate change at Utah ski resorts: Impacts, perceptions, and adaptation strategies (data and code) [Dataset]. https://search.dataone.org/view/sha256%3A69786c000cdcfdefe922a566f59c7298733b0001b16d5fc3961624dad6382496
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    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    Hadia Akbar; Emily J. Wilkins; Tara Saley; Rachel Hager
    Time period covered
    Jan 1, 1981 - Dec 31, 2019
    Area covered
    Description

    Climate change is a threat to ski resorts, the ski industry, and mountain communities that rely on ski tourism. Ski resorts may be able to mitigate some of the social and economic impacts caused by climate change with proactive adaptation strategies. Using historical weather data, future climate projections, and interviews with ski resort managers in Utah (USA), this research investigates the effects of climate change on ski resorts across the state. We examine past temperature change at all resorts from 1980 – 2018, and climate projections from 2021 – 2100 under different climate change scenarios (RCP 2.6, 4.5, and 8.5). Semi-structured interviews with resort managers also provide insights into how resort leadership perceives the impacts of climate change, are implementing adaptation strategies, and are addressing barriers to adaptation. Many resorts in Utah are warming faster than global averages, and minimum temperatures are rising faster than maximum temperatures. By the end of the century, winter (December – March) minimum daily temperatures in Utah could warm an additional 6.0°C under the RCP 8.5 scenario near Northern Utah resorts, and 6.6°C near Southern Utah resorts. Resort managers are concerned about shorter season lengths, shifting ski seasons, less snow cover, and poorer snow quality. Many resorts are already adapting, with the most common adaptations being snowmaking and diversifying outdoor recreation offerings (particularly during the summer and shoulder seasons). Barriers to adaptation reported by managers include financial costs, adequate water availability for snowmaking, and uncertainty about climate change projections. Climate change is already impacting Utah ski resorts, but adaptation practices can reduce the negative impacts to some degree at most resorts.

  7. Number of visitors to Zion National Park in the U.S. 2008-2023

    • statista.com
    Updated Apr 5, 2024
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    Statista (2024). Number of visitors to Zion National Park in the U.S. 2008-2023 [Dataset]. https://www.statista.com/statistics/254237/number-of-visitors-to-the-zion-national-park-in-the-us/
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    Dataset updated
    Apr 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of visitors to Zion National Park, located in Utah in the United States, fluctuated in recent years. In 2023, the park saw a decrease in the number of visitors with under 4.65 million visitors, compared to the 4.69 million visitors welcomed in 2022. Zion National Park Zion NP is a park in the desert of Utah that boasts a variety of plants and animals as well as archaeological sites. Many visitors to the park engage in hiking, climbing, and camping within the park. In 2021, Zion National Park was among the top 3 most visited parks in the United States. The U.S. national parks are hugely popular and there has been a general growth in attendance since 2008. Outdoor Recreation in the U.S. As of 2021, some of the most popular outdoor activities among U.S. residents include running, fishing, biking, hiking, and camping, to name a few. Among campers in North America, fishing was the second most popular recreational activity. Overall, approximately 52.4 million people participated in recreational fishing in the U.S. in 2021.

  8. f

    Data_Sheet_1_A process for identifying challenges and opportunities for...

    • frontiersin.figshare.com
    docx
    Updated Jun 9, 2023
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    Hongchao Zhang; Jordan W. Smith (2023). Data_Sheet_1_A process for identifying challenges and opportunities for outdoor recreation and tourism development using participatory workshops and big data.docx [Dataset]. http://doi.org/10.3389/frsut.2022.935369.s001
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    docxAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Frontiers
    Authors
    Hongchao Zhang; Jordan W. Smith
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The collaborative development of scientific and practical knowledge is fostered through processes which allow scientists and stakeholders to work together toward common interests and goals. The purpose of this community case study is to document a process by which big data characterizing the volume and spatial distribution of outdoor recreation and tourism behavior can be used to initiate collaborative discussions amongst the diverse stakeholders involved in outdoor recreation and tourism management. The process we document involves engaging a diverse group of stakeholders including public land managers, county and city government officials, and local business owners, in participatory workshops centered around visualizations of geotagged social media. We document how three workshops with outdoor recreation and tourism providers in Utah (USA) aided in the development of a shared understanding of the challenges and opportunities associated with meeting the growing demand for outdoor recreation and tourism opportunities.

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Sources: National Park Service; Utah State Tax Commission; Utah Department of Transportation; Department of Workforce Services; Department of National Park Service, Tax Commission, Dept of Transportation, DWS, Ski Utah, Smith Travel Research (2016). Utah Tourism Indicators Table 21.1 1983-2014 Utah [Dataset]. https://opendata.utah.gov/Business-Economy/Utah-Tourism-Indicators-Table-21-1-1983-2014-Utah/k8z8-7aa9
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Utah Tourism Indicators Table 21.1 1983-2014 Utah

Explore at:
tsv, application/rssxml, application/rdfxml, xml, csv, jsonAvailable download formats
Dataset updated
Jan 26, 2016
Dataset provided by
Utah Department of Transportationhttps://udot.utah.gov/
National Park Servicehttp://www.nps.gov/
Authors
Sources: National Park Service; Utah State Tax Commission; Utah Department of Transportation; Department of Workforce Services; Department of National Park Service, Tax Commission, Dept of Transportation, DWS, Ski Utah, Smith Travel Research
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Area covered
Utah
Description

This data set contains Utah tourism information from 1983-2014 as reported by the Economic Report to the Governor.

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