With the rapid development of information technology, smart tourism has become a new trend in the development of tourism. Through integrated data information system, smart tourism realizes comprehensive and real-time monitoring and management of tourism activities, aiming to improve tourist experience and tourism operation efficiency. As a statistical analysis tool, binary Logistic model can effectively predict and analyze tourism-related events, which is of great significance for the construction of smart tourism system. The purpose of this study is to design a binary Logistic model of smart tourism based on data information system. Through quantitative analysis of key factors in tourism activities, tourists’ behaviors and attitudes can be predicted, so as to provide decision-making support for tourism managers. This study not only helps to improve the quality and efficiency of tourism services, but also has a demonstration and promotion role for the development of smart tourism. Through the effective combination of data information system and binary Logistic model, the intelligent management and sustainable development of tourism can be realized.