Abstract: The multi-dimensional node identification model is based on four dimensions: spatial hierarchy, accessibility, cultural relic protection level, and popularity. The spatial characteristics of tourism resources in the study area are simulated using kernel density estimation and spatial network topology, with a focus on point, line, and surface perspectives. The results show that former revolutionary tourism resources in the Dabie Mountain base area are locally concentrated in the central region but overall dispersed throughout the entire region, with scattered distribution in both eastern and western areas. Secondly, the traffic network connectivity is relatively low; core tourism resource nodes are weakly connected and hindered by accessibility obstacles. Thirdly, complete sub-regional tourism circles exist in the old revolutionary base area of Dabie Mountain. Single attribute red tourism resources can be developed regionally by complementing resource advantages, while different types of attribute red tourism resources have regional overlap characteristics.