为解决广西旅居养老适宜性评估中缺乏多源数据分析的问题，以桂东北地区为例，通过相关性分析筛选出距休闲场所距离、距景区距离、道路密度等9个评价因子，对比分析信息量、确定性系数法和信息量-确定性系数法（information value-certainty factor, I-CF）3种不同模型，并选择最佳模型对桂东北地区进行旅居养老适宜性分析。结果表明：I-CF耦合模型能更全面细致地描述适宜性分布，其曲线下面积（AUC）值达到0.981；适宜性分区结果显示，高度适宜区、较高适宜区、一般适宜区、较不适宜区和不适宜区分别占总面积的5.857%、14.373%、21.4%、27.133%和31.236%；高度适宜区和较高适宜区主要集中在研究区中部和东南部，桂林市各区及阳朔县具有较高的发展潜力。这些发现为桂东北地区旅居养老产业空间布局优化提供了科学依据。

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.