The border tourism hotspots network based on travelogues

Abstract

This study applies the Apriori algorithm and social network analysis to analyze travelogue data from the Qinghai-Tibet Plateau, effectively mapping significant border tourism hotspots and their interconnections within defined networks. Our findings distinctly partition the region into two principal sub-networks: Xinjiang and Tibet, highlighting the geographical segmentation that potentially impedes comprehensive regional tourism integration. The analysis underscores a pronounced reliance on transportation, reflecting the inherently multi-destination nature of border tourism in the area. Key nodes within these networks include Kashgar City and Lhasa City, serving as central hubs in their respective sub-networks, while Gar County and Hotan County act as pivotal connectors bridging the two distinct areas. Additionally, Gyirong County, Nyalam County, and Tashkurgan Tajik Autonomous County are identified as well-developed border tourism destinations, with Gyirong County and Tashkurgan Tajik Autonomous County possessing substantial potential to evolve into core border tourism hubs. Drawing on these insights, the study proposes targeted development strategies to enhance the structure and efficacy of border tourism on the Qinghai-Tibet Plateau.

Keywords

• Border tourism
• Association rule learning
• Network analysis
• Travelogues
• Qinghai-tibet plateau