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Sharing accommodation has emerged recently as a new business model in the accommodation sector. Due to the potential gentrification Airbnb might bring to an area, it is critical to understand the spatial patterns of sharing economy and its possible determinants. The neighbourhood environment has proven to be an important factor in the traditional hotel business, and whether it is the same for sharing accommodation is worth investigating. In this study, location data of 29,780 houses/apartments on Airbnb.com in London was collected. Using Ordinal Least Square and Geography Weighed Regression analysis, the spatial distribution features of Airbnb and its relationship with neighbourhood environment in London were explored. The results show that sharing accommodation is mainly located in the city centre and around tourist attractions. Neighbourhood elements such as Water, Vegetation Coverage, Art & Human Landscape, Travel & Transport, University, Nightlife Spot emerged as important factors influencingAirbnb. In addition, the distribution of Airbnb in London is spatially nonstationary, in some areas high Airbnb is associated with higher transportation accessibility, in other areas, high Airbnb is associated with more attractions or nightlife spots, suggesting that the role of different factors varies in different regions, proving Tobler's first law of geography.

Customers choosing Airbnb over a traditional hotel are looking for a different experience. Despite the popularity of Airbnb in China, little research has been devoted to examining customers’ perception and experience with this nascent form of accommodation. Through the lens of the expanded Experience Economy Model, and based on 7606 customer comments for 294 listed Airbnb accommodations in Hangzhou, China, this study explored eight aspects of customer experience—namely, entertainment, education, esthetics, escapism, interaction, home-feeling, tangible-sensorial and localness—regarding Airbnb experiences in China. Findings of this study suggested that although all eight aspects were present, there is in general a lack of entertainment and escapist experience in Airbnb accommodations in Hangzhou, suggesting meaningful directions that Airbnb accommodations need to work on. The study contributes to customer experience literature, particularly to the Experience Economy Model and also has important empirical significance.

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Understanding consumers' sentiment expressions in online reviews: a hybrid approachThis study explores consumers' sentiment and its influencing factors in the context of theme parks by analyzing online reviews. A hybrid approach is employed, including sentiment analysis, logistic regression analysis and cooccurrence network analysis. The findings provide new insights on the sentiment expression of consumers in different regions, that is, Australian consumers express significantly more positive sentiment than U.S. consumers.In addition, the results reveal the crucial experiential factors causing positive and negative sentiment. This study not only contributes to the understanding of consumers' review behavior and eWoM but provides a reference for the application of data driven approach in intelligent marketing and management.