Fig 1.
(This figure systematically displays the overall technical route and analysis process of this study. Specifically, the whole process includes three major core stages: the service quality evaluation of leisure consumption space, the measurement of residents’ life satisfaction, and the analysis of influence relationships and relative importance. Furthermore, each stage progresses step by step and connects logically).
Fig 2.
Spatial distribution of Weibo sign-in data.
(This figure takes the form of a geospatial distribution map. It shows the spatial distribution characteristics of the valid Weibo sign-in data after cleaning in this study. Specifically, these data cover 287 prefecture-level and above cities across 31 provinces (autonomous regions and municipalities) nationwide. Furthermore, the figure uses color depth and point density to represent the quantity distribution of the sign-in data).
Fig 3.
Service quality evaluation results of different types of leisure consumption spaces.
(This figure is a series of spatial distribution maps. Specifically, it includes five sub-maps of dining, entertainment, shopping, healthcare, and sports. Furthermore, it uniformly adopts a service quality rating scale of 0 to 1. In addition, it characterizes the level of service quality of various leisure consumption spaces in different cities with color gradients. Here, deeper colors represent higher service quality. Ultimately, it systematically shows the national spatial pattern and type differences of the service quality of the five major categories of leisure consumption spaces).
Fig 4.
Residents’ life satisfaction in leisure consumption spaces.
(This figure shows the national spatial pattern of residents’ life satisfaction in leisure consumption spaces. Specifically, it obtains this pattern based on RoBERTa sentiment analysis. Furthermore, it adopts a satisfaction rating scale of 1 to 100. In addition, it characterizes the level of life satisfaction in different cities with color depths or numerical gradients).
Fig 5.
Relative importance of different leisure consumption spaces on life satisfaction.
(This figure uses a combination form of bar charts and numerical tables. Furthermore, it accurately quantifies and shows the relative importance proportion of various influencing factors of leisure consumption spaces on residents’ life satisfaction. Specifically, its core contains two major dimensions. Firstly, the first dimension is the overall impact comparison between the facility quantity and service quality of leisure consumption spaces. Secondly, the second dimension is the subdivision impact comparison of the service quality among five types of spaces: dining, entertainment, healthcare, shopping, and sports. In addition, this figure presents all indicators in percentage form. Ultimately, they total 100%).