In the context of sub-health caused by the sedentary lifestyle, sports for health, as an effective way to promote sustainable urban development, has attracted the attention of the government and residents. The proposal of policies represented by the National Fitness Program has facilitated the rapid development of community fitness spaces, which constitute an indispensable part of the Chinese outdoor fitness system. Despite this, many of these spaces still remain unused in reality due to unscientific planning, design, and management. To address this issue, we conducted a study in Liaocheng, Shandong Province, focusing on communities with fitness spaces. Through PSPL, questionnaire surveys and data analysis using software such as Urban Quadrant and SPSS 26, five factors impacting the utilization rates and satisfaction levels of these spaces were identified. And based on MLR, the number of rest facilities was verified as the most important factor and should be considered carefully. By providing insight into the utilization of community fitness spaces, our study can serve as a valuable reference for future planning or renovation of these spaces.

In the context of the growing experience economy, themed transformation has emerged as a key strategy for shopping malls seeking to enhance offline consumer experiences. However, existing studies on environmental experiences have largely focused on static factors, overlooking the potential interaction effects between the environment and experience behaviors. Based on 23,541 comments posted in 2024–2025 about 16 highly recommended Chinese-themed shopping malls on social media platforms, this study used natural language processing (NLP) to construct lexicons covering 11 environmental categories and 7 behavioral categories. The Light Gradient Boosting Machine (LightGBM) model, combined with SHapley Additive exPlanations (SHAP), was then employed to assess the relative importance of the environmental and behavioral elements and to reveal their interaction effects on customer sentiment. The results show that, among environmental elements, decoration is the most important predictor of sentiment, and among behavioral elements, leisure contributes the most. Leisure performs the strongest interactions with decoration and store category, suggesting that these couplings are most closely associated with positive emotional experience. These findings point toward a design logic centered on environment–behavior interdependencies, help to propose differentiated optimization strategies for various themed shopping malls, and offer a new perspective on the complex interplay among environment, behavior, and emotional experience.