Abstract: The data of blog post and comments from Sina Weibo users in Shanghai and its surrounding areas were collected. By using of word frequency statistics, high frequency co-occurrence network, travel features set and tourist source economic different function, short-term travel types around Shanghai were classified, to explore the coordination and acceptance between Shanghai and surrounding areas. This study may provide reasonable suggestions for the development of tourism in Shanghai through a short-term travel perspective. First, the results disclosed that there are significant differences in the frequency of different Weibo user groups travel to Shanghai, radiation, acceptance, difference and efficiency of the tourism economy between tourist source and Shanghai were also presented significant different. While, they presented consistent in a certain range. Therefore, the source of tourists around Shanghai was divided into five categories, of which Hefei, Jiaxing, Zhoushan and Nantong performed best. Second, aim to medical, cyclical business, and learning exchanges have a stable role in promoting Shanghai’s tourism economy. The costs of information and travel were lower in the cyclical business and learning exchange. Other types of costs presented “dotted” or “gradient” distribution. Furthermore, we found that the fitting curve of the road accessibility and the economic difference coefficient of the source area presented “anti-parabolic”, which has a significant positive impact on the coordination of tourist sources and Shanghai tourism economy.