Abstract: The agglomeration development of rural tourism has played strong significance in stimulating rural tourism efficiency, enhancing regional tourism competitiveness, and revitalizing the development of rural industries. Under normalized epidemic prevention and control, rural tourism in urban marginal areas becomes a hotspot. Using the methods of network dimensional analysis, Ripley’s K, and kernel density analysis, this paper selects four years (2005, 2010, 2015 and 2020) and takes Wuhan as an example to analyze the evolution characteristics of spatial agglomeration pattern of rural tourism destinations in urban fringe from the perspectives of agglomeration form, agglomeration scale and agglomeration mode. Based on 2 km*2 km micro-scale unit, rural tourism spatial agglomeration factors are quantitatively analyzed geodetector, and the spatial coupling distribution of spatial agglomeration level and influencing factors are discussed. The results show that there is basic fractal feature of regional unequal probability distribution, which is linearly distributed and spreads to the periphery in Wuhan. The intensity of spatial agglomeration has a normal distribution with the agglomeration scale increasing, and the spatial scale of the peak agglomeration intensity increases from 8 km to 18 km.Spatial agglomeration evolves in a multi-core hierarchical point-axis diffusion pattern, forming multiple scale core and sub core agglomeration areas. Natural ecology, social economy, high-grade scenic spots and policy regulation factors jointly affect the spatial agglomeration pattern. According to the level of explanatory power, the influencing factors are high-grade scenic spots, road network density, distance around the city, river system, population density, mountain resources and land use types. Among them, natural factors lay the resource foundation of spatial agglomeration, social and economic factors affect the market size of spatial agglomeration, high-level scenic spots are the core growth pole of spatial agglomeration, and government regulation strengthens the regional grounding of the agglomeration. The influence of the two-factor interaction is higher than that of the single-factor, resulting in two effects of nonlinear enhancement and two-factor enhancement. In addition, policy regulation factors play a role in enhancing the “embeddedness of agglomeration areas”.