夜间文旅消费集聚区是推进文旅融合高质量发展的典型示范，对引领文旅产业发展、释放夜间消费潜力具有重要意义。采用GIS空间分析、地理探测器等方法探究中国夜间文旅消费集聚区空间格局及影响机理。结果表明：（1） 夜间文旅消费集聚区呈现“东密西疏、南多北少”的集聚型分布态势，“环城、亲水、傍景”布局特征明显，“一主、两副、多微核”的空间形态显著。（2） 夜间文旅消费集聚区分布的空间正相关性明显，呈现“东热西冷”圈层式递减的空间分异格局。（3） 类型结构上，遗址遗迹类分布在历史文化悠久地区，风土民俗类集聚在少数民族地区，产业主题类空间分布广泛，风景名胜类分布较为均衡，文旅商综合类主要分布在经济发达地区。（4） 地形、河流和气候是影响夜间文旅消费集聚区分布的基础要素，人口素质、客运能力、产业发展和政策支持是影响其分布的关键因素。

Night-time cultural tourism consumption agglomeration areas serve as notable models for advancing the high-quality development of cultural and tourism integration, playing a crucial role in steering the growth of the cultural and tourism industry and unleashing the latent potential of night-time consumption. This study employs GIS spatial analysis methods, alongside geographical detectors and other approaches, to investigate the spatial pattern and influencing mechanisms of night-time cultural tourism consumption agglomeration areas in China. The findings indicate the following: (1) The distribution trend of night-time cultural tourism consumption agglomeration areas exhibits clustering, characterized by a “dense in the east and sparse in the west, more in the south and less in the north” trend. The layout features are conspicuous, emphasizing proximity to the city, water, and scenic locales. The spatial structure is marked by “one main, two pairs, and multiple micronuclei”. (2) The spatial distribution of night-time cultural tourism consumption agglomeration areas demonstrates a significant positive correlation, portraying a circularly decreasing spatial differentiation pattern of “hot in the east and cold in the west”. (3) Regarding type structure, historical sites and relics are concentrated in areas with rich cultural histories, local customs and traditions thrive in ethnic minority regions, industrial-themed categories exhibit broad spatial distribution, scenic spots are relatively evenly spread, and comprehensive categories encompassing cultural, tourism, and commerce predominantly manifest in economically developed areas. (4) Fundamental factors such as topography, rivers, and climate significantly influence the distribution of night-time cultural tourism consumption agglomeration areas. Meanwhile, factors such as population quality, passenger transport capacity, industrial development, and policy support emerge as pivotal determinants affecting the distribution of night-time cultural tourism consumption agglomeration areas.