National Forest Villages in China are village types with significant environmental resources and cultural landscapes that play a vital role in ecological conservation, tourism development, territorial planning, and other elements. Understanding tourists’ landscape perception preferences is important to the long-term development of their landscape systems. Using Xidi village from the second batch of National Forest Villages as a research case, we gathered the evaluation digital footprints of visitors to the village with Python (version 3.12.0) and then used the ROST CM6 software and the semantic network analysis method to sort out the general characteristics of visitors’ perceptions of the village’s landscape. Finally, we constructed a multidimensional landscape perception model by studying precise details of passengers’ views of Xidi village on four dimensions: natural landscape, humanistic landscape, landscape environmental atmosphere, and emotional state. The findings show that travelers’ perceptions of Xidi village’s landscape primarily focus on scenery, architecture, and culture, with the humanistic landscape having the strongest degree of perception, the landscape environment atmosphere having the middle degree of perception, and the natural landscape having a weaker degree of perception. Most travelers have positive emotions, and commercialization and homogenization are negative factors that trigger negative emotions. The optimization recommendations for Xidi village’s landscape system are then offered in light of the study’s findings.

With the rapid and vigorous growth of forest tourism, the irresponsible environmental behavior of tourists has caused enormous strain on forests’ ecological systems. Carrying out environmental education in forest parks is conducive to promoting the sustainable development of forest tourism. To explore the impact of human–place emotion on environmental education effects, this study took Fuzhou National Forest Park as an example to construct a structural equation model composed of landscape perception, environment interpretation, place attachment, and the effects of environmental education (EEE). The relationship between the four elements and the mechanism of action was clarified. A questionnaire was used with 480 visitors. Statistical analysis showed that: (1) The value of scientific research and education (0.774) influences landscape perception. Reliability (0.770) and tangibility (0.718) contribute to environmental interpretation. Place identification and dependence are represented by environmental identity (0.771) and are activity-dependent (0.792), respectively. Knowledge (0.860) and behavior (0.869) are essential factors in driving the EEE. (2) Place attachment and environment interpretation had a significant positive impact on the environmental education effect (p < 0.001), and there was no direct effect between landscape perception and EEE. (3) Landscape perception and environmental interpretation indirectly influence EEE with place attachment as full and partial mediators, respectively. This paper aims to provide theoretical support for better synergistic growth of forest park ecology, economy, and environment.