A Data-Driven Hotel Capacity Classification Framework: Development and Application of the Hotel Capacity Index (ICH) in an Emerging Tourism Destination

Hotel capacity in emerging destinations is often described through room counts or conventional classifications, even when these say little about how accommodation systems operate. This study investigates the accommodation sector in Villavicencio, Colombia, through the Hotel Capacity Index (ICH), a classification tool based on three variables: rooms, beds, and services. Using field data from 84 hotels, the analysis considers capacity structure, room and bed configuration, occupancy patterns, service provision, and selected operational practices. The results show a hotel system concentrated mainly in medium-capacity establishments, with 71% of the sample in the ICH-2 category. Although the sector shows some internal flexibility in the way sleeping capacity is organized, it remains only weakly differentiated in service provision and operational sophistication. Occupancy patterns also show marked seasonality, with stronger performance in the second half of the year and clear peaks in the final quarter. Limited digital integration, low levels of certification, weakly formalized feedback systems, and incomplete accessibility conditions show broader constraints in upgrading the accommodation base. The study shows that the main issue in Villavicencio is not simply the amount of hotel supply, but the composition and functionality of that supply. In emerging destinations, expanding accommodation supply is not enough when the structure of that supply remains concentrated and only weakly differentiated.