Parameterized Reports for Data-Driven Tourism, Parks, and Recreation Management using Quarto and Multimodal AI
DOI:
https://doi.org/10.18666/JPRA-2025-13124Keywords:
survey reports, Quarto, parameterization, multimodal AI, rural tourismAbstract
Survey data, whether collected online or onsite, provides valuable insights into visitor experiences, preferences, and behaviors. Using the same questionnaire across different destinations or over multiple periods at the same location enables robust comparisons and trend analysis. While such data is essential for informed decision-making, preparing survey reports can be a time-consuming process. Automating and streamlining this process can significantly enhance efficiency and ensure consistency. We employ a novel approach that utilizes Quarto, an open-source publishing system, to create parameterized reports using the Markdown syntax for visitor surveys conducted in a rural county in West Virginia. By using input parameters such as county, stakeholder name, or period, we generate visitor reports tailored to specific needs and annotate them with summary text using multimodal AI. Our approach demonstrates a use case of generative AI with practical implications for practitioners in tourism management, supporting more timely and effective planning and policy development.
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