Destination attraction clustering: segmenting tourist movement patterns with geotagged information

This study used geotagged Instagram information to analyze tourist movements in Hong Kong. Data were collected over a four-year period from over 600,000 posts at 202 attractions. Destination-wide analyses of cluster attractions can illustrate relationships between attractions and facilitate comprehensive multi-destination planning. Using geotagged information for tourist movement patterns between attractions, we connected attractions based on tourists' common motivations and described the corresponding clustering effects by sorting the attractions into four clusters. A new framework was used to reveal the characteristics of these intra-cluster attractions through three dimensions: theme, visit volume, and importance level by attractiveness propagation rank.