Study of Application of Geo-Information Technology to Spatial Survey and Assessment of Creative Tourism Potential in Baan Noi Rim Khlong Community

Abstract

This research aims to achieve four objectives: first, to utilize geo-information technology for spatial exploration and data mapping in the Baan Noi Rim Khlong community of Sa Kaeo province; second, to evaluate the potential of these tourism resources; third, to assess the feasibility of developing creative tourism resources; and fourth, to analyze the network by considering the conditions of distance and travel time to arrange suitable tourism routes. The researcher collected data from the three sample groups: 1) stakeholders, agencies, and local government organizations; 2) community members involved in tourism management; and 3) tourists. A qualitative analysis was performed to identify current situational problems and obstacles, SWOT analysis, and potential in various areas; thirdly, to assess the feasibility of developing creative tourism resources by categorizing and evaluating four resource groups: cultural heritage, way of life, arts, and products catering to various demands by the group of experts; and finally, to analyze the network by considering the conditions of distance and travel time to arrange suitable tourism routes. The research findings reveal: 1) Tourism Resource Potential: The area's natural resources support tourism and interactive activities with local villagers; 2) Tourist Potential: Tourists seeking community-based experiences are highly satisfied. Needed improvements include better public transport, local transportation, and diverse tourism programs. The tourist demand is focused on diverse and small-group activities, along with greater engagement with the community. 3) Market and Business Potential: social media and influencer promotion have boosted tourist interest in homestays, but limited availability remains a challenge. The community product business lacks online sales channels. In addition, the overall readiness of tourism resources was found to be high, with an average score of 4.04, indicating a high possibility for the development of sustainable creative tourism destinations. Subsequently, network analysis using Dijkstra’s algorithm was conducted to optimize tourism routes. The findings of this research can serve as guidelines for spatial management and developmental planning, fostering outstanding creative tourism destinations and sustainable income generation for local communities.