To address the issue of lacking multi-source data analysis in the assessment of suitability for travel and retirement in Guangxi, taking the northeastern part of Guangxi as an example, nine evaluation factors such as the distance to leisure facilities, the distance to scenic spots, and road density were selected through correlation analysis. Three different models, namely the information volume method, the certainty coefficient method, and the information value-certainty factor (I-CF) model, were compared and analyzed, and the best model was selected to conduct a suitability analysis for travel and residence for the elderly in the northeastern part of Guangxi. The results show that the I-CF coupling model can describe the suitability distribution more comprehensively and in detail, with an area under the curve (AUC) value reaching 0.981. The suitability zoning results indicate that the highly suitable area, the relatively highly suitable area, the moderately suitable area, the relatively unsuitable area, and the unsuitable area account for 5.857%, 14.373%, 21.4%, 27.133%, and 31.236% of the total area, respectively. The highly suitable area and the relatively highly suitable area are mainly concentrated in the central and southeastern parts of the study area, and the districts of Guilin City and Yangshuo County have relatively high development potential. These findings provide a scientific basis for optimizing the spatial layout of the travel and retirement industry in the northeastern part of Guangxi.