This  study puts forward a general CFD modeling framework to develop highly  detailed models of the research area. Through the combination of field  measurements and numerical simulations, the influencing factors of  microclimate and outdoor thermal comfort (OTC) during summer in the  Rizhao coastal tourism area, located in a cold region of China, were  systematically investigated. Specifically, we created the highly  detailed 3D model of the study area based on drone photogrammetry.  Subsequently, coupled simulations of wind speed (WS), air temperature (T_a),  and relative humidity (RH) were conducted in ANSYS Fluent for the  prevailing summer wind direction and typical time periods. To assess  tourism suitability, a comprehensive OTC evaluation index was  established using the information entropy weight method. Based on  simulation results, thermal discomfort areas were visually identified.  Results indicate that wind is the key factor in regulating microclimate  and OTC. It achieves cooling effects by driving the transfer of heat and  water vapor. Ventilation performance (VP) and OTC exhibit a significant  negative correlation at 7:00 (R² = 0.83, R² = 0.62, R² = 0.77  respectively at 90°, 135°, 180° wind direction), with the wind cooling  performance producing negative feedback. At 16:00, however, a moderate  positive correlation emerges (R² = 0.63, R² = 0.56, R² = 0.45  respectively at 90°, 135°, 180° wind direction), where the cooling  performance of wind flow generates positive feedback. These findings  provide a basis for improving the microclimate in tourism areas, while  also serve as a case study for developing strategies to improve OTC.