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This brief communication aims to reveal whether the recommendation information's spillover effect decays with geographical distance. A unique dataset of Airbnb listings in Beijing is collected to perform an empirical analysis and a model simulation. The results of this study demonstrate that the spillover of listings' recommendation information decays with spatial distance and this decay follows a certain attenuation mode (i.e., has a certain attenuation rate and attenuation point). As one of the first to investigate the attenuation mechanism of information spillover, this communication enriches the current research on information transmission and brings a novel topic to the attention of the community.

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User-generated content (UGC) has been validated as an important factor in travel decisions. However, it is still unclear whether different types of UGC function differently. Social cognitive theory was applied to investigate the different effects of two types of UGC, Story and Review on Airbnb, on attracting travelers through 2,271 accommodations in Beijing from December 2018 to September 2019 via the spatial Durbin model. The results indicate that, first, Story plays a positive direct role on reservation, implying that Story works as a push factor in attracting newcoming travelers to visit story-related accommodations; second, Review works as a pull factor by attracting extant travelers who have investigated nearby accommodations, based on the negative spatial spillover effect; and third, Review works as a moderating factor between Story and reservation. This research extends social cognitive theory to analyze different types of UGC functions in travel decisions.