## 5 Use Cases
### Integration of Visualizations into the Analytical Framework
The visualization highlights key insights, such as the predominance of transient customers and city hotels in overall cancellation rates, providing actionable intelligence for segmentation strategies and targeted interventions. Advanced data analytics serve as integral tools for analyzing and communicating the complex dynamics of the hospitality industry. Figure 5 presents the first story, which integrates spatial, typological, and temporal dimensions of ADR trends to offer a holistic view of market dynamics. Figure 6 unfolds a Tableau-based narrative in five acts, exploring diverse perspectives on cancellations and bookings, from demographic segmentation to geographic disparities and seasonal behaviors. Finally, Figure 7 introduces an interactive sunburst chart that enables hierarchical segmentation of cancellations, revealing the impact of customer and hotel types across different countries. Together, these visualizations provide a robust framework for understanding and optimizing decision-making in the hospitality sector. For the hierarchical sunburst chart, the theoretical underpinnings from [PERSON]'s systems theory and [PERSON]'s institutional frameworks suggest that stable resource governance (in our case, market stability and pricing integrity) emerges when multi-level decision-making structures are visible and comprehensible. By enabling users to \"drill down\" from national policy contexts to hotel-level customer segments, this visualization concretely operationalizes the notion that institutional memory and adaptive capacity depend on transparent information flows across hierarchical levels. For example, if a country imposes a tourism tax, one can trace its ripple effects down to specific hotel types and customer categories, thereby illustrating how macro-level rules shape micro-level decisions in pricing and cancellation strategies. Similarly, the geographic map extends the meta-organizational perspective by revealing how spatial clustering of ADR patterns and cancellation rates is not merely a statistical artifact but can be linked to regional governance forms and collective decision-making arrangements. For instance, areas with consistently high ADRs but low cancellation rates may reflect cooperative local tourism councils, strong regulatory frameworks, or stable partnership networks among stakeholders. By highlighting these spatial patterns, the map allows us to hypothesize that a region's policy climate--and the synergy between local  
Figure 7: **Interactive sunburst plot developed in D3.js of hotel reservation cancellations. ** Interactive version available at: [[https://decurto01.netlify.app/](https://decurto01.netlify.app/)]([https://decurto01.netlify.app/](https://decurto01.netlify.app/)), accessed on accessed on 1 January 2025.  
authorities, businesses, and community groups--may directly influence market outcomes. While additional ethnographic or policy-document analyses may be required to fully substantiate these hypotheses, the visualization itself provides a starting point for theoretically informed, empirically testable claims about the link between institutional structures and observed market patterns. To strengthen the empirical grounding of our illustrative hospitality sector analysis, we incorporate quantitative indicators derived from industry datasets. For instance, aggregated booking records spanning 2015-2020 from major European hospitality platforms reveal that transient customers constituted approximately 82.6% of total reservations, while city hotels exhibited a 74.9% cancellation representation. Additionally, ADR fluctuations peaked during summer months, showing a median 15% increase from off-season baselines. These metrics were complemented by demographic and regional data to ensure comprehensive contextualization. By fusing these verified data sources with advanced visualization and modeling techniques, we enhance the reliability and generalizability of our policy-relevant insights.