Diseño de una Propuesta Innovadora para la Recolección de Datos Turísticos en Sesquilé

Abstract

Tourism contributes nearly 10% of global GDP and one in every ten jobs worldwide (OMT, 2023). In Colombia, however, 45% of municipalities with tourism potential lack systematic visitor records (DANE, 2023), reducing their competitiveness and limiting access to funding opportunities (MinCIT, 2023). Sesquilé, in Cundinamarca, exemplifies this challenge, receiving only 60 international visitors in 2022, compared to 80,000 in Guatavita and 150,000 in Villa de Leyva (ProColombia, 2023). This study examines how tourism data management can be optimized through the design and implementation of an innovative system using sensors and mobile robots, aiming to strengthen sustainable tourism in intermediate municipalities. A qualitative-descriptive approach was applied in four phases: diagnostic analysis of local tourism information, design of an IoT-based robotic prototype, pilot testing in a controlled environment, and expert validation with subsequent adjustments. The theoretical foundation relies on Tourism Information Systems (TIS) (Pérez Rives y Echerri Chávez, 2021), complemented by contributions from Big Data and Artificial Intelligence as enablers of smart destinations (Wu et al., 2023). Preliminary results show that the robotic prototype achieved 95% accuracy in automated visitor counting and an 80% participation rate in interactive surveys, generating reliable real-time data to address existing gaps. These findings demonstrate that the integration of emerging technologies enhances decision-making, strengthens competitiveness, and contributes to positioning Sesquilé as a sustainable and innovative smart destination. (Bazeley y Jackson, 2019) Keywords: