Abstract: In order to improve the implementability of the quantitative analysis results of other technical software such as GIS, this article uses the current relevant norms as the starting point of the research to determine the important evaluation criteria in quantitative analysis. Taking the entrance and exit of the park green space as the starting point of travel, the travel range within the evaluation standard time under different travel modes is calculated, which is defined as the travel accessibility of the park green space. In the case of Quanzhou, the conclusions including the accessibility results of different types of parks according to pedestrian travel and vehicle travel classification, as well as the accessibility evaluation of vehicle and pedestrian travel in superimposed park green space of downtown Quanzhou can be made, followed by the current Standard for Urban Green Space Classification (CJJT 85-2017) and Urban Road Engineering Design Specifications (CJJ 37-2012), combined with the existing Quanzhou road network data, park types and coordinate data, through the GIS network analysis module and reclassification, face-to-grid, weighted sum, and other tools. The findings show that the accessibility highlights the sense of grouping in the spatial distribution, presented as three subgroups of the ancient city, Taiwanese businessmen, and the eastern part of the city. When the travel time is multiplied over time, the increase in travel range is small. The accessibility types of different kinds of parks differ in accessibility morphological characteristics, which can be divided into scatter type, circle type and linear diffusion type. Among the influencing factors, the number of park green space and road network structure have a significant influence on the value analysis. In terms of the analysis of accessibility evaluation value, the area with good evaluation value is relatively small, the accessibility ratio of pedestrian travel mode is only 2%, and the accessibility ratio of vehicle travel mode is 6%.