Understanding tourists' travel behavior before, during, and after the trip with data from social media platforms

Abstract

With the development of information and communication technology (ICT), an increasing number of tourists choose to record and share their travel experiences on social media platforms (e.g., Twitter, Ctrip, Weibo), providing a new perspective of "data-driven" tourism research (Du et al., 2017;Li et al., 2018). The travel behavior of tourists is complicated, and tourists' psychological states and emotional demands in the travel process are

Spatial structure and influencing factors of an emerging wine tourism network: a case study of the Ningxia wine region

“…Notably, previous studies of attraction networks have focused primarily on the attraction (local sector) itself (Hall et al. , 1997), but the ways in which tourists, as one of the most important stakeholder groups, consume this destination are frequently overlooked (Mou et al. , 2023).…”

“…Understanding a network's spatial structure and the driving mechanisms that guide the flows among various attractions, particularly within an emerging tourist destination, can assist in evidence-based planning and the long-term development of other tourist destinations. Notably, previous studies of attraction networks have focused primarily on the attraction (local sector) itself (Hall et al, 1997), but the ways in which tourists, as one of the most important stakeholder groups, consume this destination are frequently overlooked (Mou et al, 2023). Based on the emerging wine tourism destinations in the eastern foothills of Helan Mountain in Ningxia, this study investigated the network formed by tourist movement trajectories and used RDT to explore the spatial structure and factors influencing these networks.…”