This article aims to explore how to create a "third space" for young people to rest their souls. By comparing emerging venues (represented by shared tea rooms) and traditional venues (represented by cafes), this article conducts in-depth research and analysis, hoping to provide a better social environment for young people, the paper found that no matter whether users know or have used third space such as shared tearooms, their third space consumption preferences are similar to a certain extent, and the difference is not significant, therefore believe that the preferences will not be different depending on whether the survey unit is in the third space market or not, and so our preference research object is the mass population. At the same time, we realize that there maybe a correlation between the preference indicators of the same increase and decrease through the above figure, so we carryout correlation analysis. Correlation analysis refers to the analysis of variable elements that have correlation in order to measure the degree of correlation between variable factors. With the help of SPSS, we calculated the values of each dimension using the mean method, and then chose the Pearson correlation coefficient to perform bivariate correlation analysis.