The mobile internet and social media have changed people's travel behavior. During a journey, tourists generate a large amount of 'digital footprint' that can be used for studying tourist behavior. Exploring tourist spatial behavior based on social media big data is a new research field. Using the...

The four articles in this special section investigate smart tourism in China from different perspectives. Their subjects range from patterning tourist behaviour and flow after their digital footprints, comparing destination competitiveness from internet-based news sources, testing the mediating...

The availability of location-based social media (LBSM) presents various opportunities for tourism researchers and businesses to understand and enhance the traveller experience. However, privacy concerns can prevent users from sharing their location data, impeding the future development of LBSM...

With the prevalence of social media and Web 2.0, online visual contents such as photos or videos have quickly evolved into one popular information-disseminating channel for hotel managers and travelers. The current study aims to obtain a comprehensive understanding of the preconceptions as...

Since the outbreak of COVID-19, digital nomads, a group of people who work remotely while traveling, have been emerging as a hot research topic in the global academic community. With the rising number of digital nomads in China, several tourist destinations, such as Dali in Yunnan, and Anji in...

High volumes of tourists often pose a threat to tourism and decrease the quality of life for local residents, particularly in attractive urban tourism places. Yet, to date only a few solution-oriented studies have attempted to alleviate the overtourism problems and to improve the resident-tourist...

Based on User Generated Content (UGC) data, namely Unmanned Aerial Vehicle (UAV) photos and corresponding social media captions, this paper uses the methods of AI cognitive analysis and GIS spatial analysis to profile UAV photography tourists. The findings of this study reveal that UAV photography...

Advances in tourism demand forecasting immensely benefit tourism and other sectors, such as economic and resource management studies. However, even for novel AI-based methodologies, the challenge of limited available data causing model overfitting and high complexity in forecasting models remains a ...

Approaches to traditional travel diary construction rely on tourist participation and manual recording; hence, they are not only time-consuming but also limited in the scale and the number of samples. Online social network platforms have been used as alternative data sources for capturing the...

Based on self-determination theory, the theory of reasoned action, and person-context interaction theory, this study proposes and assesses a moderated mediation model of intrinsic and extrinsic motivations, sharing intention and behavior, and face orientations. The researchers conducted an online...