Taking the typical tourist destination-Yunnan province as a research case, and based on the multi-source data such as Gaode traffic big data and electronic map POI, this study uses the improved TOPSIS method, coupled coordination model and Tobit model to construct the comprehensive traffic service function and tourism intensity conceptual model. From the perspective of time and space, this paper examines the spatial differentiation characteristics of transportation service function and tourism intensity coordination and the contribution of different transportation service functions to tourism intensity. The results show that: (1) From 2006 to 2016, the synergy effect of comprehensive transportation service functions and tourism intensity in various cities of Yunnan province became more prominent, and the type of coordination leading has changed from "official disorder" to "primary coordination type". (2) The overall pattern of comprehensive transportation service functions and tourism intensity coordination degree shows a pattern of "high in the middle, but low in the east and west as well as in the north and south", and the east and west are greatly divided, and the north-south changes are relatively stable. The regional differences within the province are characterized by "Central part > Southeast > Southwest > West > Northwest > Northeast". There is a significant difference in the spatial differentiation characteristics of different types of transportation modes and tourism intensity coordination. (3) The contribution of roads, railways and aviation lines to tourism intensity is characterized by the unbalance of "air transportation > road traffic > railway traffic". The income of tourism residents, the endowment of tourism resources and the degree of marketization all have positive effects on tourism intensity. However, the lower level of opening up has restricted the improvement of regional tourism intensity to a certain extent.